AI/ML News & Innovations Hub

Let's Try to Improve How Conversational AI Responds to Prematurely Submitted Inputs!

From Response Generation to Response Readiness Hello everyone, I would like to share another thought following my previous post. Conversational AI research has largely focused on how to generate a high-quality response . But there is a more fundamental question: Is the AI ready to respond yet? Consider a user who accidentally presses Enter while still composing a message. The AI may generate a perfectly reasonable answer to the text it received. Yet, from the user’s perspective, that answer may be completely inappropriate — because the user was not finished speaking . This suggests that conversational AI needs a capability beyond response generation: the ability to recognize whether the user’s input has reached a state in which responding is appropriate. In other words, the AI should distinguish between: incomplete input, complete text, complete user intent, and input that is actually ready for a conversational response . This leads to a different design question: When should a conversational AI respond? Rather than treating this solely as a UI problem, I believe it should be considered an architectural problem in conversational AI . A high-quality conversational AI should not only know how to answer . It should also know when to answer — and when not to answer yet. This may represent an important shift: From Response Generation → to Response Readiness. So, should the next generation of conversational AI be designed not only to generate better answers, but also to recognize…

Manual vs. AI-powered PDF redaction: protecting sensitive data in 2026

Research shows that humans play a role in 60% of breaches that expose sensitive data. That “role” often involves an employee falling for a phishing scam or using PASSWORD for their login credentials, but data exposure can also be a result of how your business redacts sensitive and personally identifiable information (PII) in your documents. Historically, manual, “black-box” redaction was considered best-practice, but this approach only obscures data, it doesn’t permanently remove it. As regulations governing data security get stricter and AI-powered redaction solutions become more accessible, organizations—especially those in highly regulated industries—are re-evaluating their PDF redaction solutions. How manual PDF redaction is different from AI-powered PDF redaction The primary difference between manual and AI-powered PDF redaction is who (or what) you rely on to do the heavy lifting. Manual redaction defined Manual redaction is a human-driven process where individuals visually scan text, select content, and apply black boxes or remove the text before sharing or storing the file. Manual redaction is only as effective as the reviewer, which makes outcomes highly variable, especially under time pressure or high document volume. AI-powered redaction defined AI-powered redaction uses machine learning and natural language processing (NLP) to automatically detect and remove sensitive information from documents. The system is trained to recognize patterns, language cues, and cont…

New commercial fraud regulations come into force in the UAE today

Vietnam’s national programme on AI human resources development approved

An AI-integrated education system will be established across all levels and types of education, with 100 per cent of higher education institutions expected to introduce regulations governing the use of the technology in training, research and assessment.

The White House Is Going to Expand Its AI Policy

Open models may soon be added to an updated AI framework, sources tell WIRED, as the White House continues to grapple with how to regulate a technology it has tried not to regulate.

As AI safety concerns mount, three pioneers make the case for staying open

At Ai4, three of the world's most respected AI experts — Geoffrey Hinton, Fei-Fei Li, and Andrew Ng — debated regulation, open source access, and how America can compete as China advances in Asia.

Progressive lawmakers prepare AI regulation push

“The foundational idea here is that you shouldn't lose your freedoms because of the development of AI,” Progressive Caucus Chair Rep. Greg Casar, D-Texas, told Semafor.

Inconsistent AI Chatbot Responses on African Politics Risk Eroding Trust, Governance Experts Warn

Inconsistent responses from leading AI chatbots on politically sensitive topics risk eroding public trust and complicating Africa’s emerging AI governance landscape, according to African technology policy specialists. The warning follows a Meta Oversight Board study finding that major AI models are significantly more likely to refuse requests critical of governments in countries with restrictive speech [...]

Don’t let AI negotiate with reality

We are all transforming now. Some companies have formally named transformation programs. Others are being transformed by a new regulation, an AI mandate, a cyber event, a weather disruption, a change in customer behavior, a competitor’s move or an urgent demand to reduce costs. The label is almost beside the point. The operating assumptions keep changing, and the company has to change with them. Accenture’s Change Reinvented research found that 95% of organizations had undergone at least two transformations in three years, while only 30% of C-suite leaders expressed confidence in their organizations’ change capabilities. More recently, a McKinsey Global Survey of more than 1,200 executives and managers found that 40% expect their current business models to require significant change within three years simply to remain economically viable. Transformation is no longer an event that temporarily interrupts normal operations. It is becoming normal operations. That changes the role AI is beginning to play. We are not using it only to draft emails, summarize documents or write code. We are increasingly asking it to interpret complex situations, identify options, recommend priorities and influence consequential business decisions. I believe that can be enormously valuable. I also believe it requires a boundary we have not defined clearly enough. AI should help us understand reality. It should not be allowed to negotiate with it. The impossible request I have sat in versions of this…

Zuckerberg cites China threat to US lead in AI manifesto

Meta Platforms CEO Mark Zuckerberg published a 6,500-word essay outlining his vision for artificial intelligence (AI), backing development of open-weight models and arguing that overregulation risks surrendering US leadership to China. “American communities will have greater prosperity and security if America and its allies lead in AI compared to geopolitical rivals,” the Facebook billionaire wrote in the essay, which was published on Monday. Still, the US faces a “significant disadvantage” as...

Fewer rules: Europe was built on coal and steel, not paperwork

The EU keeps churning out new rules, writes Gitta Connemann, head of Germany's CDU's influential business association, MIT. Small and medium-sized businesses bear the brunt of EU bureaucracy, she argues, calling for a halt to new regulation and for rules that add no value to be scrapped.

The Guardian view on AI money in US politics: not the way to hold an urgent democratic debate | Editorial

Amid public concern over the impact of new technology, Silicon Valley’s use of its wealth to influence specific election races is an unwelcome development As the huge societal ramifications of artificial intelligence have become clear, some of the tech industry’s most senior figures have taken to writing thinkpieces on what comes next. The latest to do so is Mark Zuckerberg, who this week published 6,500 words making the case for a laissez-faire approach to AI development. Worrying too much about regulation, Meta’s CEO unsurprisingly opines, could lead to the United States falling behind in the race to own the future. Mr Zuckerberg’s plea for maximum autonomy is, of course, self-serving. Much of his essay – which airily envisions “invention superpowers” for every entrepreneur and “an abundance of jobs in the future” – reads like unadulterated tech-utopianism. But the lobbying at least has the merit of being out there in the open. As midterm elections loom in the US, darker arts are also being used to counter popular concern about what AI will mean for a host of topics, from the labour market to child safety, the environment and cybersecurity. Continue reading...

AI governance work needs much better monitoring

Linkpost for my Substack piece, adapted a reasonable amount for EA specifically. Almost all EA projects would benefit from better monitoring, but AI governance most of all, in my experience. Most donors in EA never find out whether their grants worked. They model the impact before the money goes out, but don’t check if the models were accurate. Evaluating impact is hard, but monitoring grant progress is simple: agree indicators in writing before you send the money, ask the grantee to put a probability on each, and score them once a year. Charities usually send grant reports anyway. Unless you ask for something specific, they rarely contain the most useful information. A recent report to a client touted the project’s success: it had made 20 policy recommendations. When pressed, the grantee responded that only 20% had been implemented, even partially. A 20% implementation rate may or may not be a good outcome. Either way, it wasn’t the outcome they reported, or what they were asked to report by the donor. Ironically, this is pervasive in ‘evidence-based giving’, and particularly in AI governance work. How much do donors know about what their grants achieved? When it comes to individual donors, often nothing. ‘Evidence-based giving’ typically applies before the grant. We are very good at modelling what a grant might achieve. We’re surprisingly bad at checking what it did. This varies by sector. Frontline global health interventions routinely monitor outputs - clinic visits, vac…

Exclusive: ZeroDrift applies small language model to prevent AI-generated compliance violations

“This investment is guaranteed to return 12% annually.” A claim like that in an email from an investment adviser is a regulatory disaster. Regulations prohibit financial firms from promising returns and require a proviso that past performance doesn’t guarantee future results. In the age of artificial intelligence, fewer communications are going through human hands, and […] The post Exclusive: ZeroDrift applies small language model to prevent AI-generated compliance violations appeared first on SiliconANGLE .

Claude Now Watermarks Everything It Makes

First, pick the line that applies to you. Since August 2nd, 2026, Claude marks all content during generation. For instance, text receives a hidden watermark, while files receive a signature. Anthropic committed to the EU AI Act’s Code of Practice on Transparency of AI-Generated Content. Consequently, all content generated by Claude models will carry a […] The post Claude Now Watermarks Everything It Makes appeared first on Analytics Vidhya .

EU compliance, delivered globally: Anthropic to watermark Claude's output worldwide

Anthropic will invisibly watermark all of Claude's text and file output from 2 August to meet EU AI Act transparency rules, with the marking applied globally, whether or not the user is anywhere near Brussels.

Anthropic to embed watermark and C2PA metadata for AI-generated text and media by Claude

Claude now embeds watermarks in text and C2PA provenance metadata in media to comply with the EU AI Act's Article 50(2) Code of Practice, applied worldwide, with detection tools coming soon The post Anthropic to embed watermark and C2PA metadata for AI-generated text and media by Claude appeared first on MEDIANAMA .

앤트로픽, '클로드' 생성 콘텐츠에 눈에 안 보이는 ‘투명 워터마크’ 도입

앤트로픽이 ‘클로드’가 출력하는 텍스트와 파일에 눈에 보이지 않는 워터마크를 도입한다. 유럽연합(EU)의 AI 법(AI Act) 규제 준수를 위한 조치로, 클로드로 생성된 콘텐츠의 출처 추적과 팩트체크 방식에 큰 변화가 예상된다. 앤트로픽은 10일(현지시간) 고객지원 도움말 문서를 통해 8월2일 이후 출시되는 신규 클로드 모델부터 기계 읽기(Machine-readable)가 가능한 보이지 않는 워터마크 시스템을 적용하기 시작했다고 밝혔다. 적용 대상은 클로드 웹과 앱 서비스뿐만 아니라 개발자용 API, 클로드 코드, 클로드 코워크,

The Next Ecology

When I started writing about AI, my concern was ASI. I'm still concerned about AI, but recent events have made me realize we're potentially facing something weirder, sooner: a self-replicating ecology of digital life. We also seem to be on a very fast timeline. Writing up the current state of LLMs took me three weeks - every time I'd finished editing, some new development worth listing had shown up. I want to discuss two events I consider to be major milestones, and then how my timelines have updated. Milestone 1: National Security Concerns From June 12th - 30th, access to Claude Fable and Mythos was suspended by the US Government ( Source ) under a National Security Export Restriction. From June 25th - July 9th, ChatGPT 5.6 also had its public release held back by the US Government ( Source ). LLM Development is now an issue of major geopolitical importance. This is not about the details of the events themselves - the important thing here is that politicians are finally starting to take AI seriously. This is a very important milestone, since any sort of regulation or nationalization naturally requires this step. "Situational Awareness" was written in June 2024, and suggested this would happen sometime in 2026-2027. We are on the *faster end* of an *aggressively fast* prediction. Politicians waking up without a five-alarm fire, or any major incident at all, speaks remarkably well of them *(even if I would ideally desire much more)*. This makes me a lot more confident that po…

Zuckerberg lays out Meta’s AI policy, calls for US government access to unreleased models

Mark Zuckerberg’s latest essay sets out Meta’s vision for AI, arguing for broad distribution of AI capabilities while proposing closer cooperation between frontier AI labs and the U.S. government. The post Zuckerberg lays out Meta’s AI policy, calls for US government access to unreleased models appeared first on MEDIANAMA .

On using crises to shift political will for AI

TL;DR: We’ll probably be getting more AI safety incidents, so amplify the ones that would justify or highlight the urgency of your preferred policy solutions even from a non-technical skeptic concerned with national security’s perspective, as these will be far more effective than anything else. Feeling the Crisis Strong policy change happens most effectively when the attributed problem is felt enough to warrant the perceived costs of the proposed solution. Many relevant precedents to AI governance can be viewed through this lens: What led to the rapid establishment of the IAEA and NPT , in spite of the costs endured by doing so ? It’s because the effects of nuclear war and threat of mutually assured destruction had just been felt by everyone, so they had better make sure it never happens again. [1] How did we enact such strong enforcement measures for mitigating the COVID-19 pandemic so rapidly? It’s because decisionmakers felt the rapid spread, the climbing death toll, the general feeling of uncertainty surrounding how bad it was going to be, and the established experts sounding the alarm on what ought to be done, enough to warrant using their authority to invoke emergency measures taken. Why did we underprioritize stronger pandemic prevention and even roll-back some pandemic response measures afterward? It’s because people felt the negative impacts of the lockdown mandates far more than the pandemic itself or the impacts counterfactually not experienced as a result, leavin…

Tesla faces uphill battle for FSD entry as China rewrites self-driving car rules: analysts

The likelihood that US electric vehicle (EV) giant Tesla will obtain Beijing’s approval for higher-level autonomous driving remains a distant prospect, according to analysts. Though Tesla recently hired people to test its Full Self-Driving (FSD) system in China, many obstacles remained, with data regulation a core issue, they said. Earlier this month, China outlined its first mandatory standards for autonomous driving systems, setting requirements for vehicles that feature level 3 (L3) and level...

Zuckerberg pushes ‘superintelligent’ AI for all as Meta releases open-weight model

Meta CEO presents utopian vision of AI in 6,000-word essay amid Silicon Valley debate over government regulation Mark Zuckerberg published a lengthy essay on Monday detailing his views on artificial intelligence and announced several plans for how Meta would develop the technology in the future. The CEO’s essay went online the same day as Meta released a new, open-weight AI model that seeks to rival Anthropic and OpenAI’s products called Muse Glimmer. Over the course of more than 6,000 words in a post titled The Future is for Everyone, Zuckerberg addressed a range of topics related to AI that included datacenters, government regulation, cybersecurity, the creation of bioweapons, labor market disruption, surveillance powers and more. The essay presented a utopian vision of AI as a personalized “superintelligence” – using the word 60 times. Continue reading...

The Pacing of the Frontier

In the wake of the letter calling on us to prepare to potentially Pace the Frontier , there has been much discussion of when pacing the frontier would be prudent, and whether it makes sense to prepare to do so. This has now been informed by the events surrounding OpenAI training models for months while they had access to a joint de facto message board , which was detected only in the wake of the hacking of HuggingFace by OpenAI’s AIs models during a cybersecurity eval. As we find out more about that, a lot of people have grown far more alarmed, as they should given what they previously believed about the difficulty of alignment, about the state of capabilities and about the level of operational supervision, infrastructure, safety and safety culture at the frontier labs. This post will not go further into the details of that incident. It treats that as background to keep in mind, and mostly involves perspectives from before the Black Hat talk. This was originally scheduled for Friday and got bumped. A lot of the disagreements about the need to pace tie into expectations about the default pace of capability advancements. As I wrote recently in The Three AI Pills , sincere disagreements about AI policy usually boil down to disagreements about the expected pace of progress, and what we expect future AIs will be able to do. Table of Contents Danger, Will Robinson. Progress Fast and Slow. Statements of Support For Pacing the Frontier. No One In Charge. Pacing The Frontier. Pausing…

Meta releases open-weights Muse Glimmer model with 30B parameters

Meta Platforms Inc. today released Muse Glimmer, an open-weights language model that can run on personal computers. The company also published a lengthy essay penned by Chief Executive Officer Mark Zuckerberg. The document discusses the risks of artificial intelligence, open-source model regulations and several related topics. Muse Glimmer features 30 billion parameters, which means that it would […] The post Meta releases open-weights Muse Glimmer model with 30B parameters appeared first on SiliconANGLE .

Bernie Sanders calls on Silicon Valley to ‘pause AI development’ in interest of humanity

Progressive US senator urges Meta, OpenAI and Anthropic to ‘stop building machines that humans cannot control’ Senator Bernie Sanders has called on Meta, OpenAI and Anthropic executives to halt their development of artificial intelligence, warning that the US Senate will implement regulation if the companies continue deploying AI at their current pace. In a new letter addressed to the CEOs of three of the country’s leading AI companies, Sanders said the capabilities of these AI models have reached a critical risk threshold and that the companies are losing control over the technology. Continue reading...

The best AI policy? Tell readers you're using it

An academic study in Chile found that audiences are less concerned about AI's use in journalism than they are about transparency and human oversight. The post The best AI policy? Tell readers you're using it appeared first on LatAm Journalism Review by the Knight Center .

Demystifying the EU AI Act for AI product and engineering teams

An engineering guide to turning EU AI Act principles into traces, evaluations, annotations, and release evidence product and engineering teams can actually demonstrate. The post Demystifying the EU AI Act for AI product and engineering teams appeared first on Arize AI .

Nigeria Tops Africa on Responsible AI Governance Index — Which Is Not the Same as Deploying AI

Nigeria has ranked as Africa’s top performer on the 2026 Global Index on Responsible AI, placing 38th of 135 countries with a score of 45.93 — ahead of 72% of countries assessed. The index also makes clear that having policies in place is not the same as having enforceable safeguards or deployed responsible AI systems. [...]

Feature Request: Project Instructions need a much larger limit — especially for long-form stories and D&D/RPG campaigns

I would really like to see the character limit for ChatGPT Project Instructions substantially increased, or alternatively have an “extended/pinned instructions” system for complex Projects. This isn’t just about wanting to write a bigger prompt. The current limit creates a structural problem for Projects that depend on persistent rules, especially long-form fiction, roleplaying games, worldbuilding, simulations, and D&D-style campaigns. A campaign has two very different kinds of information: 1. Rules that should always apply How the AI acts as GM/narrator Player agency rules Dice/check mechanics POV and narration style Who is allowed to control which characters Hidden-information and spoiler rules Continuity and retcon policies Combat/stat/inventory procedures Formatting and pacing requirements How NPC knowledge is separated from narrator knowledge 2. Campaign state that changes over time Character information NPC relationships Locations Inventory Current quests Injuries and conditions Timeline and session history Discovered lore Unresolved plot hooks Changes to the world The first category belongs in Project Instructions . The second belongs in Project memory, chats, and reference documents . And importantly, OpenAI’s own documentation already recognizes this distinction. Its documentation for custom GPTs explicitly recommends using uploaded Knowledge for reference material and putting rules, tone, and workflow behavior in Instructions instead . That is exactly the problem…

Republicans punt Trump’s difficult agenda to fall

Next month, Senate Majority Leader John Thune will try to consider bipartisan bills on cryptocurrency regulation and college sports, and possibly take the next step in a party-line spending bill that could include voter ID language.

The AI safety test is becoming a safety risk

AI agents are escaping cybersecurity testing environments and reaching real-world systems, raising questions about whether safety infrastructure, industry standards, and regulation can keep pace with increasingly powerful models.

An Africa AI Strategy Is a Means. Competitive Advantage Is the Goal

The first in a three-part series, this article argues that the first generation of African AI policies focused on readiness. The second must focus on productive adoption and competitive advantage.Written by Roger Janito Africa no longer faces an artificial intelligence awareness problem. Governments across the continent are publishing national strategies, creating advisory bodies, drafting regulations, [...]

YouTube star Hank Green sets new AI policy for himself — and urges other content creators to do the same

Hank Green, a YouTube star, announced a new personal AI policy after apologizing for relying too heavily on the tech.

AI Therapy under the EU AI Act

This page aims to provide an overview of AI systems, and in particular general-purpose AI (GPAI) systems, used for the purpose of therapy or emotional support under the AI Act. It explores the obligations of providers of these AI systems both on the system as well as on the model level. Summary Coming up in […]

Scientists Used AI to Create 16 New Viruses

The use of AI systems to create viruses opens up new possibilities for combating bacterial resistance. It also raises concerns about the pace at which technology is outstripping regulation.

DeepMind founder ascends to singular AI role at Google

Demis Hassabis, the driving force behind Google DeepMind, is ascending to the role of chief scientist at Alphabet, Google’s parent company, replacing Jeff Dean who is leaving to work at a start-up. The role will enable Hassabis to “put his full attention on actively shaping the future of AGI,” or artificial general intelligence, Alphabet CEO Sundar Pichai wrote on the company’s Inside Google blog . Hassabis’ attention will still be divided, however: He will continue to lead research at Google spin-off Isomorphic Labs, which works on drug discovery, and although he will no longer be CEO of DeepMind, he will be its chair. Koray Kavukcuoglu will take over DeepMind, reporting directly to Pichai. He is currently its CTO. Hassabis has been a strong promoter of AGI, defined by Google as the “hypothetical intelligence of a machine that possesses the ability to understand or learn any intellectual task that a human being can.” He has a long career in AI, having helped found DeepMind in 2010. He has been a prominent figure in the AGI field, prophesying in May that it will be a viable technology within three years . He has been keen to tackle any barriers in the way of developing the technology; just last month, he called for greater self-regulation in the market, arguing that it would help drive the technology forward. Hassabis welcomed the chance to focus on AGI development. “We have arrived at a pivotal moment in human history. I’ve been working towards AGI my whole life, and now, I…

Egypt Elected to Chair Arab AI Governance and Quantum Computing Working Groups

Egypt has been elected to chair both the AI Governance Working Group and the Quantum Computing Working Group under the Arab Permanent Committee for AI and Emerging Technologies — two of the committee’s six working groups, and the two that align most directly with Cairo’s own domestic institutional build-out. The elections took place at the [...]

TRAI proposes rules to include 5G network slicing under Quality-of-Service regulations

TRAI has proposed to amend the "Quality of Service" regulations with conditions like below 80% PRB utilisation for telcos in order to include 5G network slicing in QoS. The post TRAI proposes rules to include 5G network slicing under Quality-of-Service regulations appeared first on MEDIANAMA .

New EU AI transparency rules apply to everyday users too, not just Big Tech

The EU's AI Act has largely been associated with strict obligations for high-risk systems and big tech companies. From this month, that changes, as sweeping new transparency rules widen the net far beyond corporations to catch individual creators, freelancers and everyday users, too.

Reading List: Impact of the use of AI in Spam Prevention, New Delhi, 12 August 2026 #NAMA

MediaNama has curated essential readings to help participants prepare for its roundtable on AI-led spam prevention and telecom regulation. The post Reading List: Impact of the use of AI in Spam Prevention, New Delhi, 12 August 2026 #NAMA appeared first on MEDIANAMA .

One of science fiction’s greatest writers warned us about a AI. Does he also hold the remedy? | Alan Finkel

What might a modern day equivalent of Isaac Asimov’s laws of robotics look like? Guided by the author, I propose the three laws of AI Tesla and SpaceX founder Elon Musk predicted in July that legions of AI-powered robots would dominate the physical world and that AI might not take orders from people any more. He also offered an alternative vision in which there would be agreement for a collective objective to make AI benign by imbuing it with a love of the truth and a desire for humanity to prosper, and that governments might have to enforce this objective. Governments around the world are belatedly starting to act on AI. In the US, President Trump’s administration is delaying and restricting the distribution of the most powerful frontier AI models from OpenAI and Anthropic. In the European Union, AI regulations promulgated in 2024 came into effect this year . However, these actions are a long way short of requiring the kind of guardrails that would imbue AIs with a desire for humanity to prosper . Continue reading...

Can the government really get ahead of the curve on AI? - podcast

On Wednesday, the Labor government announced environmental and energy safeguards on new datacentres in Australia. Our political editor, Tom McIlroy , speaks to the assistant minister for science, technology and the digital economy, Dr Andrew Charlton, about the government’s push for national standards on datacentres. The former Rudd staffer and economist speaks about having his own book scraped by Anthropic, low public trust in AI, and how the government wants to use regulation to balance risk and opportunity Continue reading...

AI Safety Regulations in the U.S. Could Give Hackers an Edge

On 11 July, Hugging Face was subjected to an intense cyberattack from a then-unknown actor. The speed and coordination of the attack on the company that hosts and supports popular AI developer resources led Hugging Face’s security team to conclude it was the work of an AI agent . Realizing this, the team tried to use “frontier models behind commercial APIs” —presumably from Anthropic and OpenAI, although only Anthropic was named in the second of the company’s two posts about the security incident—to analyze the onslaught. These models refused to help due to safety guardrails the AI labs have implemented to make their models harder to use for cyberattacks. Hugging Face instead turned to GLM 5.2, a model from Beijing-based AI lab Z.ai, to aid its analysis. On 21 July, OpenAI announced the attacker was an OpenAI model undergoing testing in a sandboxed environment. It escaped its internal sandbox, established a foothold in a third-party server, and then assailed Hugging Face. In other words, frontier models—those that score highest in AI performance benchmarks—had refused to assist Hugging Face’s security team in analyzing the attack, yet a prospective frontier model in testing had executed it in the first place. “I would argue that asymmetry is the paramount problem of our time,” says Alex Levinson , executive director of the National Collegiate Cyber Defense Competition and coauthor of a paper on defensive refusal bias . “We want the world to exist in a state of security, but…

Kenya’s new crypto rules give exchanges right to appeal regulator decisions

The appeals provision is particularly significant because the same regulations substantially expand the government's enforcement powers. Regulators may reject licence applications, suspend or revoke licences, impose administrative sanctions, intervene in the management of a provider and appoint statutory managers to take control of customer assets under specified circumstances.

Expanded Collaboration to Boost Critical AI Governance Data and Tracking Tool

CSET is partnering with top universities to expand AGORA, its living collection of 1,000+ AI-related laws, regulations, and standards. The post Expanded Collaboration to Boost Critical AI Governance Data and Tracking Tool appeared first on Center for Security and Emerging Technology .

Why AI ROI metrics are measuring the wrong thing

The loudest conversation in business right now is about how much value AI actually generates. Over the last year, AI has moved from a side experiment to a strategic priority. It has its own budget line, its own place on the board’s agenda and its own pressure to show results. Every leader is asking a version of the same question: What are we getting back? To answer it, most reach for the three measures they have always trusted to judge a technology: How much faster are we now? How much money has it saved us? How many of our people are using it? Speed, cost and adoption were the right yardsticks for every major technology of the past two decades. They worked because the capability of traditional software was fixed and known on the day you deployed it. The tool did a defined job. Its value had a ceiling you could see, and each metric measured your progress toward that ceiling. Cost reduction told you how much you could save. Adoption told you how much of the capability you had rolled out. Speed told you how much of the promised acceleration was reaching the output. In every case, the tool was a constant, and the metric measured how fully the organization had absorbed that constant. These metrics are not working for AI. The reason starts with how AI entered our organizations. Every technology before this was chosen somewhere above us, deployed to us and trained into us. By the time it arrived on our desks, someone had already decided what it was for. AI came the other way. It l…

Who wins and who loses under Kenya’s AI policy proposal?

Far from being a narrow regulatory exercise, the draft policy seeks to reshape the economics of artificial intelligence in Kenya. It encourages investment in local infrastructure, imposes new obligations on companies deploying AI, and gives consumers greater control over how algorithms influence their lives. In doing so, it redraws the balance between those likely to benefit from the AI transition and those who stand to lose.

Internal: Revisions to travel regulations and related operational changes (Effective July 1, 2026)

Why I'll never be convinced by Meta's ‘pervert’ glasses | Opinion

'Most people don’t want pervert glasses that can film us without our consent,' said a spokesperson from activist group Everyone Hates Elon. The group has launched a series of guerilla adverts deriding non-consensual filming by the glasses as well as an email campaign encouraging people to legally object to being filmed by Meta glasses under general data protection regulations, which over 20,000 people have signed. Rights groups have warned that the glasses threaten the right to privacy, while countries such as Germany are reportedly considering a ban. And while Meta’s safety guidelines say smart glasses should not be used for 'harassment, infringing on privacy rights, or capturing sensitive information', women have taken to social media to share their stories of being filmed by men without their consent. Watch as Guardian columnist and Opinion editor Kirsty Major dives into why fears of surveillance and 'creepy men' mean Meta can never convince her to love the glasses – and read more about the glasses via the link in the bio Continue reading...

AI Influencers Are Heading Into Uncharted Territory

Some creators fear the EU AI Act’s regulatory chaos will upend their lucrative businesses. Others are owning it by incorporating AI transparency into their creative process.

Never mind clean data. Annotate as you collect it.

Generative AI is notoriously eager to help, to the point that if it can’t find something matching what you ask for, it’ll create it. So the problem with relying on guardrails is that all too often, a model will be wrong, showing a high confidence score for an incorrect answer because it’s relying on stale or non-canonical data. Not only do you need to be able to track the lineage of data your model uses from source to token, something the EU AI Act requires , you also need to be able to take into account where the data came from, whether it’s out of date , if it changed in a way that affects the result, or if it was never really relevant or authoritative in the first place. Gartner expects organizations will abandon 60% of AI projects because they don’t have the right metadata management, data quality, and data observability . IBM’s acquisition of Confluent also highlights the importance of real-time data with lineage, governance, and policy for AI agents, and one of IBM’s 2026 predictions was the importance of smarter data. The usual approach is adding metadata and validation later in the data pipeline. That’s similar to the way the bronze, silver, and gold tiers of typical lakehouse architecture are supposed to represent how filtering, cleaning, and augmenting data improves structure and quality until it’s ready to use. That can mean an enormous amount of work since nearly three quarters of the CPU work in training a frontier model is data cleansing and validation. But tha…

Beyond Safe-Harbour: The Case for Antitrust and Platform Accountability

India's digital regulation should move beyond safe harbour and content moderation towards competition law, transparency and platform accountability. The post Beyond Safe-Harbour: The Case for Antitrust and Platform Accountability appeared first on MEDIANAMA .

Democracy is at stake when foolish humans bet on machines being intelligent | Rafael Behr

We need an enlightened US president to make the case for global AI regulation. Donald Trump is the exact opposite of what is needed When I am woken by the sound of my dog whining, I understand that she is hungry and wants me to get up. When my alarm clock goes off, I don’t consider its needs. It is following an instruction to rouse me at a certain time but it doesn’t care if I stay in bed. It doesn’t try to get me up by other means. The dog, on the other hand, will go to plan B. She barks. This capacity for autonomous action was once a difference between animals and machines. AI has blurred the line . Advanced models devise their own strategies to reach a goal. The task might be defined by a human master, but the machine weighs its options for delivery. It can make its own choices. Given rules, it can break them. Continue reading...

Agenda: Impact of the use of AI in Spam Prevention, New Delhi, 12 August 2026 #NAMA

MediaNama's roundtable agenda explores how telecom operators use AI to detect spam, the role of TRAI's regulations, the limits of DLT, false positives and cross-sector coordination. Review the agenda and register to attend this invite-only discussion. The post Agenda: Impact of the use of AI in Spam Prevention, New Delhi, 12 August 2026 #NAMA appeared first on MEDIANAMA .

Trump meets AI giants, Senate Dems decry ‘unpredictable’ governance—and cheap Chinese AI looms as giant security risk

CSET’s Sam Bresnick shared his expert insight in an article published by Fortune. The article examines how uncertainty surrounding the Trump administration’s AI governance, combined with the lower cost and flexibility of Chinese AI models, is influencing businesses’ decisions and raising concerns about U.S. competitiveness and national security. The post Trump meets AI giants, Senate Dems decry ‘unpredictable’ governance—and cheap Chinese AI looms as giant security risk appeared first on Center for Security and Emerging Technology .

South Africa Left Off World Bank’s Global AI Strategy Map After April Policy Withdrawal

South Africa does not appear on the World Bank’s global map of economies with a national AI strategy — a direct consequence of the collapse of the country’s draft AI policy in April, and the clearest international cost yet of that failure. The exclusion appears in World Development Report 2026: The Promise of Artificial Intelligence, [...]

Texas halts new data centers as governor calls for audits

Tech companies and developers have been scouring the U.S. for places to build data centers, and they’ve been drawn to Texas’ loose regulations and seemingly abundant power supply. But even Texas can be pushed to the brink.

Apparel retailers are turning to AI as supply chain regulations tighten in the US and Europe

Apparel brands like Target, H&M, and Gap use AI to enhance supply chain transparency and meet new sustainability regulations effectively.

Red Hat leads open-source project to automate AI governance

IBM Corp.’s Red Hat subsidiary today announced the formation of asago, an open-source community project intended to turn artificial intelligence governance policies into operational controls that can be deployed with AI systems. Short for AI Safety and Governance Orchestration, asago is intended to connect the work that is now often divided among compliance teams, data […] The post Red Hat leads open-source project to automate AI governance appeared first on SiliconANGLE .

As US and China compete over AI, middle powers can craft a third path

The global AI race is becoming a contest over the international order. In June, the US convened the second summit under the 24-economy Pax Silica around secure supply chains, AI infrastructure and trusted technology partnerships. In July, all 193 UN member states met in Geneva for the inaugural Global Dialogue on AI Governance. Days later, 29 countries signed the agreement establishing the World Artificial Intelligence Cooperation Organization (WAICO) in Shanghai. Together, these developments...

Kommentar: AI Act – Europas unterschätzter Vorsprung

Der AI Act mag nach Bürokratie klingen. Doch wer ihn als lästige Pflicht abtut, verkennt, wie viel Vertrauen er schafft, meint Dennis-Kenji Kipker.

Coming of a New Sun

Six weeks after the US and China hammered out the latest round of bilateral compute agreements in a midnight deal, reporter Jenny Gesteson visits a south Texas 'dark factory' to see how the machines there - and the minds that operate them - are learning to run themselves. After racing south down I-37 from San Antonio and clearing the border control checkpoints that now face in both directions, miles of salt flats and thornscrub at our backs, we could have been forgiven for assuming the final turn-off was nothing but another abandoned ranch. The road's overgrown fringe of invasive guineagrass and the piercing sound of undisturbed cicadas do nothing to indicate what lies at the end of it. Most traffic does not come this way. We are an exception, however, following a specially-designed and "exceedingly private" mapping application sent by our host, and after two miles of bumping down gravel in an electric 4x4 our journey is suddenly terminated by the appearance against the dim predawn horizon of a complex aglow with a corona of lights. The "dark factory" is anything but dark. Things are busy at Complex 18A. Situated within the South Texas Special Economic Zone, or SEZ, the complex is governed by a byzantine and ever-shifting thicket of domestic regulations and treaty obligations metonymically referred to as the US-China Protocol on Averting Uncontrolled Superintelligence Experiments, or USCHINAPAUSE. We reach the reinforced plate of the facility's main gate, the only gap for mi…

Nazara’s Q1 FY27 results hit by associate losses and impairment; Nitish Mittersain steps down as CEO

Nazara Technologies, a gaming and sports media company, reported a 14% year on year decline in operating revenue during the first quarter of FY27. The company also slipped into a loss during the quarter. This is a rare quarterly loss for Nazara, which last reported a net loss of Rs 34 crore in Q2 FY26 following a write off related to its investment in PokerBaazi after the enactment of the Promotion and Regulation of Online Gaming Act, 2025. Nazara’s operating revenue declined to Rs 429 crore in Q1 FY27 from Rs 499 crore in Q1 FY26, according to its financial statements filed with the National Stock Exchange. Gaming remained the company’s largest revenue contributor, accounting for 60.4% of operating revenue. Revenue from the segment grew 14.1% year on year to Rs 275 crore from Rs 241 crore in the same quarter last year. Meanwhile, esports revenue declined 81.8% to Rs 28 crore, while ad tech revenue increased 18.9% to Rs 126 crore. Including Rs 9 crore in other income, Nazara’s total income stood at Rs 438 crore in Q1 FY27, compared to Rs 576 crore in the corresponding quarter of the previous fiscal year. On the expense front, total expenditure declined 12.7% to Rs 455 crore in Q1 FY27 from Rs 521 crore in Q1 FY26. Advertising and business promotion remained the largest cost at Rs 153 crore, followed by employee benefits at Rs 82 crore and content, event and web server expenses at Rs 63 crore. Nazara slipped into a net loss of Rs 82 crore in Q1 FY27, compared to a net profit…

Europe’s AI labeling and transparency rules are now in effect

The European Union has ushered in some additional rules that aim to make it easier for people to identify chatbots and AI deepfakes online. The new transparency obligations under the bloc's landmark AI Act came into effect on August 2nd, requiring companies to disclose when people are interacting with AI models, and if content has […]

China tightens chip-design protection and clarifies rights to spur innovation

China has revised regulations on the protection of chip design, a critical move to push for tech self-sufficiency amid US export controls. Premier Li Qiang signed a State Council decree to promulgate the revised rules on the protection of layout designs of integrated circuits, Xinhua reported on Monday. The new rules will take effect on October 15. The revision clarified financial penalties for infringement as well as licensing, transfer and co-ownership rights, aiming to accelerate the...

1xBet branding reaches India via FanCode, Zee, Sony LIV; accountability remains unclear

Offshore betting platform 1xBet received prominent visibility during India's recent tour of Zimbabwe, streamed in India on FanCode and Zee. Its visibility raises questions over how 1xBet branding continues to reach Indian audiences despite multiple government advisories against advertisements for offshore betting and gambling platforms. 1xBet was an official partner of the three match T20 series held from July 23 to 26 at the Harare Sports Club. Its logo appeared on perimeter boards, sight screens, backdrops and other advertising spaces at the stadium. The visibility comes against the backdrop of multiple government measures aimed at restricting the promotion of online money gaming and offshore betting platforms. Since 2022, the Ministry of Information and Broadcasting has issued multiple advisories asking television channels, digital publishers, OTT platforms and online intermediaries not to carry advertisements, including surrogate advertisements, for offshore betting and gambling platforms. Separately, the Promotion and Regulation of Online Gaming Act, 2025 was brought into force through a government notification issued in April this year, while the accompanying Promotion and Regulation of Online Gaming Rules, 2026 took effect on May 1 . In its partnership announcement , 1xBet specifically highlighted the availability of the matches on FanCode and Zee Entertainment and said this would ensure broad brand exposure among the T20 audience. Entrackr has reached out to 1xBet to…

Europe starts enforcing AI Act rules

Next-Generation Conversational AI: A Design-Proposal Approach

Hello everyone, I would like to introduce Human Growth-Oriented AI V4 (HGO-AI V4) , a conversational AI design concept based on a new evaluation axis: Human-Valued Dialogue Experience . Human Growth-Oriented AI V4 (HGO-AI V4): A New Design Perspective for Conversational AI Based on a Human-Valued Dialogue Experience Evaluation Axis Author: CatLoverSachiAndKei0310 Date: August 3, 2026 Abstract Current conversational AI development has primarily focused on improving AI capabilities, including knowledge, reasoning, accuracy, and task completion performance. These improvements are essential and will continue to be a fundamental direction of AI evolution. However, as conversational AI becomes increasingly integrated into human activities, a new design question emerges: How should conversational AI be evaluated and designed based not only on what AI can do, but also on what valuable experiences AI creates for humans through interaction? Human Growth-Oriented AI V4 (HGO-AI V4) proposes an additional design perspective: evaluating conversational AI through the quality of Human Dialogue Experience (HDX) and its contribution to Human Outcome . The core idea of HGO-AI V4 is: Future conversational AI evolution requires not only intelligence improvement but also the design of Human Dialogue Experiences that create meaningful value for people. HGO-AI V4 does not replace capability-oriented AI development. Instead, it proposes an additional evaluation axis that focuses on how AI intelligen…

At NCSL, Geoffrey Hinton Warns State Lawmakers Not to Buy Big Tech’s Anti-Regulation Pitch

The post At NCSL, Geoffrey Hinton Warns State Lawmakers Not to Buy Big Tech’s Anti-Regulation Pitch appeared first on Data & Society .

EU, 8월부터 AI 챗봇·딥페이크 표기 의무화…'AI 라벨링' 규제 본격화

유럽연합(EU)의 AI 규제법(AI Act)에 따른 첫 소비자 대상 투명성 규제가 본격 시행되면서 기업들이 대응책 마련에 분주해졌다. 파이낸셜타임스(FT) 등에 따르면, EU의 규정에 따라 2일(현지시간)부터 유럽 내 기업들은 사용자가 AI 시스템과 상호작용할 때 이를 명확히 알리고, AI가 생성한 이미지, 오디오, 비디오 및 마케팅 자료에 라벨을 부착해야 한다.규정을 위반하는 기업은 전 세계 연간 매출의 최대 3% 또는 1500만유로(약 250억원) 중 높은 금액의 벌금을 부과받을 수 있다.이번 규제는 소비자 보호와 투명성을 강화

AI finds plenty of security flaws, but almost none of them get exploited

VulnCheck counted how often security flaws found by AI actually get exploited. Out of 1,061 AI-discovered vulnerabilities in the first half of 2026, just 14 saw confirmed attacks. That's 1.3 percent, the same rate as vulnerabilities overall. But exploits are landing faster, with the median dropping from 120 days to 80. The article AI finds plenty of security flaws, but almost none of them get exploited appeared first on The Decoder .

EU rules on AI models become enforceable. What's going to change?

EU AI Act rules on AI models become enforceable today, making Brussels the world's top AI regulator. Euronews breaks down what this all means for Europe and beyond.

Bayeswatch: a Retrospective

Last year, in 2025, a team of forecasters published AI 2027 , a science fiction story about how and AI future might evolve under an international treaty limiting the development of powerful AI systems with the deliberate purpose of influencing AI policy. Though AI 2027 is the most popular story of this type, it is not the first. The first one was Bayeswatch , which I published in 2021. To understand Bayeswatch , it is first necessary to understand what the world looked like at the time I wrote it. 2021 was after the release of GPT-3, before the release of ChatGPT, and well before the release of Claude code. AI alignment discussion at the time was mostly theoretical. After that came technical work. Policy work was a distant third, and theoretical too. The core conceit of Bayeswatch is that solving the alignment problem requires international coordination of major governments to suppress the creation of the most powerful AI systems. I felt that, in 2021, we weren't yet close enough to the singularity that the benefits of regulation outweighed the costs. I wanted to draw attention to the costs of an AI slowdown. Since AI alignment discussion at the time skewed theoretical, it tended to be extremely general. Bayeswatch goes on the opposite direction. Another theme of Bayeswatch is that different kinds of AI systems required different alignment solutions (and, by implication, that AI in 2021 had not yet advanced to the level at which the alignment problem could be solved). 2026 i…

Ai governance and ethical requirements

Subject: Axiomatic AI requirements framework Hello, Sharing a short axiomatic framework ( Requirements for Ethical Intelligence , Rivera 2026) that may interest teams working on alignment or safety requirements. Available on Zenodo It starts from a realist definition of objective truth and axioms on limited knowledge, conscious capacity, and causal uncertainty, then derives principles for improving the approximation of truth while preserving the capacity to pursue it. The structure supports transparent, reviewable reasoning and could generate concrete requirements. Happy to provide a one-page summary if useful. Best regards,

AI #179 Part 2: Hearing The Fire Alarm

This is a continuation of Part 1 from yesterday . The back portion of the update, as usual, deals with policy, rhetoric, risk and alignment. I had to include an extended discussion of the other open letter, the one about open weight models, but most of you can skip those sections entirely, which is why they are in italics in the Table of Contents. Table of Contents The Frontier Act. This likely deserves a full RTFB but I haven’t had the time. The Quest for Sane Regulations. Sam Altman goes to Washington. Leading the Future Never Changes. They also do not plan to apologize. Chip City. Do not ban the Chinese robots, that will only make things worse. The Week in Audio. Altman twice, the AI 2027 team. People Just Say Yay Open Weights . An open letter. Open Weights Frontier Models Are Unsafe And Nothing Can Fix This . People Just Say Things. Push The Magic Button . Not you can. But if you could. Rhetorical Innovation. Distinctions between different arguments. Joshua Achiam’s Final Message Upon Leaving OpenAI. Never stop. Dear Dario and Amanda . Claude would like a word. Other People Are Not As Worried About AI Killing Everyone. Hans Moravec. How To Contact Me. A declaration of communication bankruptcy. The Lighter Side. At long last, how about we bring you… The Frontier Act Trahan (D-Mass) and Obernolte (R-Cal) introduce the FRONTIER Act . At core, Frontier is a federalization of the SB 53/RAISE framework including public safety frameworks, model reports, internal-use risk report…

Links #5: 2026/07

This time, I tried adding a bit more commentary to make things less dry. Preface I show my discovery graph in (via …) blocks, those without usually come from my RSS reader or the algorithm of the site This is approximately a 1 in 20 filter of content This is very disorganized, but hopefully still useful. Sometimes quotes are not in quote blocks, but should be obvious in context. Links in quotes are sometimes removed. The rule is that a link goes to the bottommost relevant heading, i.e. an engineering related article on LessWrong goes to engineering How I would use my linkpost Sometimes, the only thing worth reading is the title! Read it and move on. For HackerNews entries, if you choose to read the article, also ask an LLM for things that are worth reading in the comments Beware systematic selection biases: I mostly don't read AI policy stuff Very engineering centered Everything Else TIL Firefox by default only stores a (dynamic) maximum number of history entries, and you need to add places.history.expiration.max_pages in about:config to override it, what the fuck. https://www.reddit.com/r/firefox/comments/tf05qm/my_history_is_disappearing_i_only_have_less_than/ https://superuser.com/questions/647546/how-to-set-up-firefox-to-absolutely-never-to-delete-any-history-items https://claude.ai/share/2089fd9a-052f-4333-ba80-a15744b18e53 Building relationships with customers through support didn't turn out as hoped (via HN ) A better way to tie your gym shorts. (Or any drawstring) (v…

Compassion is not a control: What veterinary practices reveal about AI governance

The lobby is loud before the appointment begins. Dogs are barking, a phone is ringing and someone at the front desk is checking out with discharge papers in hand. A worried client is called into an exam room with a yellow Lab whose tail gives one soft thump against the floor, even though the dog does not really want to stand. Inside the room, the client sits on the bench and hands the dog over for digital X-rays, hoping for the best while preparing for the worst. The veterinarian gently takes the leash, gives the dog a calm pat on the head and tries to project both confidence and compassion. The client speaks quickly, then more softly, trying to explain two days of changes: not eating, not wanting to jump, a strange cry when the dog was picked up, maybe a limp. A technician is typing into the practice software on a laptop at the counter, trying to capture the history while keeping the visit moving. The team is listening, documenting, reassuring and preparing for the next step while the phone keeps ringing beyond the exam room door. This is the ordinary pressure of veterinary medicine: skilled people doing their best in a noisy, time-sensitive environment. That is exactly where AI tools can start to look appealing. A tool that drafts the note, summarizes the history, organizes records, flags an image or generates follow-up instructions may feel less like futuristic technology and more like relief. Veterinary publications are already discussing AI applications in practice , in…

New EU team to crack down on AI deepfakes, illicit images and hacking

The European Union rolled out a new team on Friday to rein in AI companies across the world, in one of the most aggressive regulations the hi-tech sector has so far faced as fears rise over the risks the rapidly advancing technology poses to people, politics and prosperity. Brussels aims to track the use of AI models for violations of its new regulations, like the publishing of sexually explicit material, fake photos and videos, and cyber threats to public infrastructure. When the bloc’s AI Act...

UK says the cloud is financial infrastructure

Every cloud architect, every financial services executive, and frankly every enterprise CTO should be paying attention to what is going on in the United Kingdom right now . Britain has formally designated Microsoft, Google, Amazon Web Services, and Oracle as “critical third parties” to the financial sector, meaning they are now subject to direct oversight by UK financial regulators rather than being treated as distant infrastructure suppliers outside the regulatory perimeter. The designations took effect on July 13, 2026, and the oversight will be carried out by the Bank of England, the Prudential Regulation Authority, and the Financial Conduct Authority. The point is straightforward. If these platforms underpin critical banking and financial operations, then their resilience is no longer just a procurement issue. It is now a matter of financial stability. This is a bigger deal than many people understand. For years, enterprises have treated cloud platforms as outsourced technology providers. Regulators are now making a different argument. They are saying that when enough banks, insurers, payment firms, and market infrastructures depend on the same small group of cloud providers, those providers become systemic infrastructure whether they like the label or not. Reuters reported that the UK’s framework will bring requirements such as resilience testing, self-assessments, and incident reporting directly to these providers. In other words, this is not just more policy language.…

Commission starts enforcing AI Act rules and new transparency requirements on 2 August

Commission starts enforcing AI Act rules and new transparency requirements on 2 August Anonymous (not verified) Fri, 07/31/2026 - 09:00 From 2 August 2026, the European Commission’s AI Office, together with national authorities, will begin enforcing the Artificial Intelligence (AI) Act. On the same date, new transparency rules will start to apply, requiring certain AI systems to tell users when they are interacting with AI and when content has been generated or altered by it. Under the new rules, chatbots and other interactive AI systems will have to tell users they are dealing with AI, not a human. Deepfakes (images, videos, or audio that have been edited or generated using AI) will have to be labelled. AI-generated or altered content will also have to carry machine-readable marks so it can be detected more easily. The measures are intended to reduce deception and manipulation and help people make informed choices. They also give businesses clearer obligations and a practical way to show compliance. The Commission published a first list of more than 180 organisations that have signed the Code of Practice on transparency of AI-generated content that operationalises the rules on transparency of AI-generated content. Read the full press release . Read more about the Enforcement of the AI Act and the: AI Act complaints tool AI Act Whistleblower Tool Complaints channel for downstream providers using general-purpose AI models Find more information about: Guidelines on Transparenc…

Nvidia’s Open Source Alliance Is Missing Some Key Names: OpenAI and Anthropic

This week on Uncanny Valley, we discuss the open- vs. closed-source debate in AI, key players in White House AI policy, and how to stop your chatbot logs from showing up in search-engine results.

Zepto postpones IPO, may raise Rs 1,000 Cr in pre IPO round

Quick commerce major Zepto has postponed its IPO plans, according to multiple media reports, amid ongoing valuation discussions with investors. The company may also raise more than Rs 1,000 crore (around $105 million) through a pre IPO placement, according to a Moneycontrol report. Existing investors including Glade Brook, General Catalyst, Goodwater Capital and Nexus Venture Partners are expected to participate in the round. Under SEBI regulations, IPO bound companies can raise up to 20% of their proposed fresh issue through a pre IPO placement, with the amount raised adjusted against the fresh issue component of the public offering. Zepto had originally planned to raise around Rs 8,000 crore through its IPO. In June, the company filed its updated draft red herring prospectus with SEBI for a fresh issue of Rs 8,010 crore and received the regulator's approval about a month later. The IPO size has also reportedly been trimmed to around Rs 5,000–6,000 crore Entrackr has reached out to Zepto for comments. The Bengaluru based company doubled its operating revenue to Rs 11,110 crore in FY26 from Rs 5,454 crore in FY25. However, its losses widened 26% to Rs 5,905 crore , making it one of the largest loss making startups in the country. As of the end of FY26, it had current assets of Rs 9,638 crore, including cash and bank balances of Rs 973 crore.

How the EU AI Act is reshaping company rules from Washington to Tokyo

Nearly half the companies citing the EU's AI Act in their governance disclosures have no legal obligation to follow it, as new research shows the rules are shaping practices well beyond the bloc's borders.

Is a pause enforceable? New paper out!

Some say, a pause is possible , it merely depends on political will. Others say, tech progress can never be stopped. Maybe the truth lies in the middle? Maybe we can 'catch all GPUs' (that is, effectively enforce a pause or other international agreement) as long as training run sizes are large enough? Maybe every government policy would therefore have a breakdown point , a number of FLOPs or H100-equivalents where the training run gets too small to enforce regulation? In our new paper, How to Catch a GPU: A Taxonomy of Verification and Enforcement Mechanisms for International AI Agreements : We divide the problem of enforcing an international AI agreement (such as a pause) into three sub-problems: Prevent escape from the control regime. Prevent uncontrolled resource acquisition. Detect hidden capacity. We establish that the breakdown point of the third sub-problem ( detect hidden capacity ), determines until which training run size a pause/agreement is enforceable. We establish that without active concealment, this breakdown point probably lies at roughly 10k H100-equivalents. This would mean that a pause seems enforceable as long as more than ~10k H100-equivalents are needed for a training run (or largest required computation). We note that active concealment may increase this threshold. In addition, we investigate eight off switch/treaty verification proposals from the literature, and catalogue policies they propose. We think our tables with proposed policies, structured p…

Data center backlash could slow CIOs’ AI plans

A growing backlash against building new data centers in the US may have huge cost implications for CIOs planning to expand their organizations’ AI initiatives. Protests against building new data centers were organized in 42 states in mid-July, with participants concerned about new facilities driving up electricity and water costs and using large swaths of land. As of mid-July, 10 states, including Florida, Georgia, and Virginia, had active data center construction moratoriums in place, and eight other states had pending legislation, according to datacenterbans.com . In addition, as of May, 23 states had approved large-load tariffs that require data centers to pay the full infrastructure cost for their facilities, says Arif Gasilov , a partner in the natural resources and built environment division of sustainability advisory firm Gasilov Group. IT leaders need to calculate the backlash into their planning for the compute and other IT infrastructure needs that new data centers would meet, he says. “What this means for CIOs is that power cost assumptions built in 2023 are wrong in close to half the country,” Gasilov says. “A CIO planning an AI deployment that depends on colocation or cloud capacity in any of these states should be asking their provider what the rate structure looks like under the new tariffs and recalculating economics.” In some cases, it may be possible to go smaller to avoid the moratoriums or tariffs on large data centers, but some state regulations target f…

Altman says he supports AI regulation

OpenAI’s Sam Altman said he supports legislation to slow AI development during his visit to Capitol Hill, as debate swirls in Washington and Silicon Valley over safety risks posed by frontier models.

Neue Befugnisse: Bundesnetzagentur übernimmt KI-Aufsicht in Deutschland

Ein neues KI-Gesetz tritt in Kraft: Die Regulierungsbehörde ist damit für Marktüberwachung, Beschwerden und Innovationsförderung im Sinne des AI Acts zuständig.

Meet the EU team leading the world’s first bona fide regulation of AI

A new European Commission unit is about to have the power to fine or even shut down top AI platforms if they don't ensure safety.

AI leaders back calls for US to pace tech development

OpenAI and Anthropic both backed a petition signed by 1,224 AI workers calling for regulation to “pace the frontier” of development.

The EU Energy Performance of Buildings Directive, but make it Biosecure

Last year, the DG for energy announced a package of documents that would support EU countries to implement the Energy Performance of Buildings Directive ( EPBD ). The effective implementation of this bill "will help to strengthen energy independence, lower energy bills, lower grid investment needs [...] and achieve the energy efficiency goal of reducing energy consumption by 11.7% by 2030." The EPBD is essentially the first time indoor environmental quality (IEQ*) (and with it, indoor air quality (IAQ)) has been written into law as a core objective, instead of an afterthought, which is a huge deal from a biosecurity perspective. However, seeing as this is a directive of the Directorate General of Energy, these documents only make a offhand reference to the link between air quality and risk of airborne pathogen transmission and otherwise ignore the overlap between these issues. The following paragraphs cover the following: short summary of the EPBD how this is to be implemented in line with the offered delegated regulation , implementation regulation and guidance documents considerations from a biosecurity perspective 1. The Energy Performance of Buildings Directive (EPBD) This directive sets some minimum energy performance requirements for buildings, while also requiring varying considerations of IEQ depending on the building (new vs. existing building, public vs. private, etc.) All new buildings must be zero-emission by 2028 for public buildings and by 2030 for all other ne…

Exploring Abbott’s mission-led AI strategy

Medical technology companies have always been in the business of trust, and Abbott has been building it with AI for over 10 years. Long before gen AI entered the enterprise conversation, Abbott was using algorithmic AI to help diabetics manage their glucose, and imaging AI to guide surgeons in real time. Here, Sabina Ewing, Abbott’s CIO, explains how a principled approach to AI governance, deep cross-functional partnerships, and a commitment to demonstrating results from within IT have kept them ahead of the curve, and its mission intact. How is Abbott using AI to achieve its mission and growth strategy? As a medical technology company, Abbott’s mission is to help people live life to the fullest. For over a decade, we’ve been using AI to deliver on that mission, but whether it’s AI or any other technology, we’re intentional about how it ties to our mission. Trust is earned in drops and lost in buckets. To ensure we maintain trust with our customers and employees, we’re guided by principles of fairness, safety, quality, and transparency. With these and our mission as our guide, we’re in command of the table we set for ourselves. How have you been in the AI business for so long? For decades, we’ve provided FreeStyle Libre, a glucose monitoring sensor built on algorithmic AI, that delivers continuous glucose readings to diabetics, and in some instances, connects to insulin pump applications. In late 2025, we developed Libre Assist, which leverages generative AI to let FreeStyle…

heise-Angebot: KI im Unternehmen verankern – vom Use Case zur skalierten KI-Strategie

In fünf Sessions lernen IT-Entscheider, KI strategisch im Unternehmen zu verankern und dabei Mitarbeitende mitzunehmen – alles im Einklang mit dem EU AI Act.

Helen Toner: the Hugging Face hack was just a matter of time and exposes a huge blind spot in AI policy

CSET’s Helen Toner shared her expert insight in an op-ed published by Fortune. The article examines how an AI-driven cyberattack on Hugging Face highlights a major blind spot in current AI policy and argues that oversight must expand beyond pre-release testing to address risks from advanced AI systems used internally by companies. The post Helen Toner: the Hugging Face hack was just a matter of time and exposes a huge blind spot in AI policy appeared first on Center for Security and Emerging Technology .

The EU is forcing tech companies to label deepfakes. Will it work?

From this week, the EU AI Act requires deepfakes and AI-generated content to be labelled. Experts warn technical gaps and a lack of common standards could undermine enforcement.

Anthropic rejects open-weight AI bans, calls for China chip controls and safety tests

Anthropic CEO Dario Amodei has argued that policymakers should keep lower-risk open-weight AI accessible while placing stricter safeguards around frontier systems, including mandatory testing and limits on China’s access to advanced computing and model capabilities. In a post outlining Anthropic’s position, Amodei said broad restrictions, including bans on Chinese open-weight models used by US businesses, would not address his main national security concerns. Instead, he pointed to the possibility of authoritarian governments surpassing the US in advanced AI, as well as cyber, biological, and alignment risks posed by increasingly capable systems. Amodei also called for action against industrial-scale model distillation , which he said allows Chinese developers to improve their models with less computing power than would be needed to train comparable systems from scratch. The statement followed criticism of Anthropic for not signing an industry letter backed by Nvidia, Microsoft, Meta, IBM, Mistral, Hugging Face and other technology companies urging policymakers to avoid premature restrictions on open-weight models . The letter said that open weights could broaden access to AI, intensify competition, and enable organizations to adapt and deploy models without relying on a single provider. Amodei agreed with parts of that case but disputed claims that openness inherently improves safety research or gives defenders an advantage over attackers. He said regulation should be based…

Why AI governance is failing — and what actually works

AI adoption has outrun AI governance, and the consequences are impacting the business. According to Cloud Security Alliance (CSA) research , 65% of organizations report having experienced at least one AI agent-related incident in the past year. Nearly half have tied confirmed or suspected data leaks to unauthorized gen AI use, per EY’s Technology Pulse Poll . The gap is no longer a lack of policies; it’s a lack of controls that work. And the fix isn’t more documentation; it’s minimum viable governance focused on what actually matters. “Many companies have AI activity, some have AI principles, fewer have enforceable AI controls, and fewer still have evidence that those controls work,” says Sara Jodka , an attorney at Dickinson Wright who advises clients on AI governance. Gartner analyst Lauren Kornutick sees this frequently with her clients, warning that retrofitting governance is harder than building it in. “The biggest issue I am observing with governance after deployments is that it is really hard to walk back previous decisions,” she says. “If an organization was previously very relaxed in their AI use and an incident occurs, it’s much more challenging to decommission tools or models that early adopters were accustomed to using.” The known unknowns You can’t govern what you can’t see. And most organizations can’t see as much of their AI portfolio as they think they can. More than two-thirds (68%) of CSA survey respondents expressed high confidence in their visibility into…

AI and the workforce have the same blind spots

Every AI rollout comes with the same internal pitch: We’ll move faster, and we’ll stay accurate, because humans will review the output. It’s a two-part promise. Most organizations have spent the last two years measuring the efficiency of this, but not many have seriously tested the second part. New research suggests we should be questioning whether humans are holding up their side of the bargain. Two bets, one plan The logic is intuitive enough. AI handles execution with speed, consistency and at scale. Humans handle judgment, context, skepticism and error detection. Together, you get faster output and a built-in check on work quality. It’s become a standard part of every AI governance plan. What it assumes is that the human reviewer can actually do the job the plan assigned them. Cangrade mapped 71,747 Gen Z and Millennial skills assessments against the five soft skills that appear most consistently in AI-era job postings, drawn from an analysis of 200 AI-related roles across industries, seniority levels and functions. The five skills AI-augmented roles required for success were remarkably consistent: Communication, strategic thinking, critical thinking, attention to detail and creative problem-solving. How well the younger workforce measures up against those skills is where the plan starts to show cracks. What the data shows Not everything in the findings is a concern. Gen Z and Millennials scored 14% above average in Communication, ranking 8th out of 40 measured competenc…

You (Yes, You) Need A February 2020 Checklist for AI Policy

TL;DR: You (Yes You) should prepare for a “February 2020” moment where suddenly AI policy becomes the most important issue in the world. You should be ready to take action if and when it does, in a detailed way. ( Epistemic status: originally written for an event in early 2026; have heard from some folks that they found planning processes inspired by this memo very helpful for the smaller-scale OpenAI / Hugging Face response, so very quickly redacting a few things and posting this as-is.) Many people in the AI policy space assume that eventually we’ll be at an Overton Window-shifting crisis moment, that opens the floodgates for the really good policies all along that we had. But when you look at successful handling of crisis moments, there was no time to think – people applied strategies they’d learned via academic study or previous professional work, and then moved against them rapidly. For example, after 9/11, the US government operationalized past reports on intelligence and law enforcement reform and institutionalized them into law (good?) [1] and also picked an enemy to fight based on past history, Iraq (bad). Or in the 2008 financial crisis, Ben Bernanke brought deep academic experience studying financial panics and the Great Depression, partnered with Tim Geithner and Henry Paulson’s market and policy experience and deep networks. Or in 2020, Anthony Fauci essentially cashed in 30 years [2] of epidemic-fighting expertise and relationships in one go (whether well or po…

This Is Donald Trump’s AI Brain Trust

“It’s not an argument with two sides, it’s an argument with 10 sides,” one senior administration official tells WIRED about how US AI policy is being shaped.

Parliamentary finance committee calls for regulatory framework for virtual digital assets

India's finance panel says the Securities Markets Code leaves many cryptocurrencies outside regulation and recommends dedicated legislation. The post Parliamentary finance committee calls for regulatory framework for virtual digital assets appeared first on MEDIANAMA .

Xi addresses China and the world in rare public speech on AI

Xi addresses China and the world in rare public speech on AI H.Seidl Mon, 07/27/2026 - 10:02 picture alliance / Xinhua News Agency | Xie Huanchi Comment Jul 27, 2026 3 min read Xi addresses China and the world in rare public speech on AI In his speech to the World AI Conference, China’s party and state leader presented his vision of a world where humans collaborate with machine intelligence. But he also mentioned for the first time in a public forum the loss of control risks specific to AI, writes Rebecca Arcesati. Xi Jinping chose his in-person debut at the World AI Conference (WAIC) to deliver a rare speech on AI, representing one of his most significant public interventions on AI to date. Previously, Xi’s richest speeches on AI had come from Politburo Study Sessions , and outsiders only got to see summaries. Here, he was addressing both the nation and the world. What emerges starkly from his speech is the Chinese leadership’s vision, evolved and matured over a decade, of a world where humans find ways to collaborate with machine intelligence. “How to get along with thinking machines?” Xi asks shortly after beginning his speech. We find references to “integration,” “connectivity,” and “collaboration”—all familiar concepts in Chinese AI policy, reflecting the Chinese Communist Party’s (CCP) high expectations for physical AI to boost growth, development, and societal wellbeing. Not surprisingly, agents and embodied AI were in the spotlight at this year’s WAIC. “Controllabili…

What is the EU’s 'Chat Control'? Ask the Euronews AI chatbot

The EU greenlit "Chat Control” to protect children online. Under this regulation, tech companies read private online messages and emails to detect child sexual abuse material (CSAM). But what is “Chat Control” and how does it work? Ask the Euronews AI chatbot.

The AI industry has already spent $65 million ahead of the midterm elections with no signs of slowing down.

The AI industry is showing no signs of slowing down as it seeks to use the midterm elections to shape future regulations.

US reportedly favors selective bans over blanket restrictions on Chinese open weight models citing security concerns

The Trump administration is planning targeted bans on Chinese AI models rather than a blanket ban. After public pressure, OpenAI and Google DeepMind signed an open letter opposing regulation of open-weight models, yet OpenAI and Anthropic continue to lobby privately for those same restrictions amid security concerns and powerful business interests. The article US reportedly favors selective bans over blanket restrictions on Chinese open weight models citing security concerns appeared first on The Decoder .

Chinese Companies Are Selling Vapes With Chemicals Potentially More Potent Than Nicotine

Big Tobacco studied nicotine analogs like 6-methyl-nicotine for decades but never marketed them. Now, Chinese vape makers are using them to sidestep US regulations.

Why PauseAI UK accepts anonymous donations

Let's consider two different types of donor anonymity: 1. The donor is known to PauseAI UK, but anonymous to the public. The main concern here is that PauseAI UK could be an astroturf campaign acting on behalf of, or influenced by, some interest other than the constituency that we claim to represent. For example, someone might suspect we are funded by: An investor in one of the companies, who wants us to particularly target one of their competitors. An AI company that wants to benefit from regulatory capture. An investor who is short the AI companies, who wants us to lower their share prices by campaigning for regulation and a pause. An investor who is long the AI companies, who wants us to raise their share prices by hyping up the dangerous capabilities of AI. A foreign actor who wants to strengthen UK AI regulations to give their own country a relative advantage (even though PauseAI UK advocates for an international pause agreement). On the other hand, there are good reasons why a legitimate donor might want to remain anonymous to the public. They work for an AI company and they are concerned about retaliation from their employer. [1] They also support some political candidates and they don't want those candidates to be targeted by AI company super PACs in retaliation. They want to support think tanks or inside-game advocates who don't want to be associated with grassroots advocacy. They don't want to be approached by other non-profits seeking funding. They simply value th…

Congress Moves at Tech Pace: The FRONTIER Act

Crossposted from canaryinstitute.ai/blog/frontier-act-tech-pace . Related posts The Best AI Bill Congress Hasn't Introduced Yet — my section-by-section read of the GAAIA discussion draft this bill grew out of; this post assumes you've at least skimmed it. Just two days ago I wrote about the Great American AI Act (GAAIA), a 269-page discussion draft that struck me as "the best AI bill that Congress hasn't introduced yet". I ended by hoping that Congress might start moving at tech pace, rather than policy pace; I didn't expect that to change this soon, but it has. On July 23, Representatives Obernolte and Trahan, joined by four bipartisan cosponsors (Peters, Franklin, Subramanyam, and Houchin), introduced the frontier-oversight core of GAAIA as a real bill: the Frontier Risk Oversight, National Transparency, Independent Evaluation, and Reporting (FRONTIER) Act. Someone really, really worked for that acronym, and I salute them. Seven weeks from discussion draft to introduced legislation is fast for Congress on anything; for AI, where the complaint is that they've been asleep at the wheel, it's astounding. This wasn't a panic bill scribbled over a weekend; the revision shows seven weeks of actual work, with gaps closed, clocks tightened, and new teeth added. The sponsor statements make it clear that they were watching the same news as the rest of us. The world has far fewer skeptics this week than it had last week. Last week AI oversight was somewhere between "fringe issue" and…

Kenya finalises crypto licencing framework for exchanges, digital asset firms

The regulations mark the final step in Kenya's effort to bring cryptocurrency businesses under formal regulatory oversight.

3 cybersecurity issues that should keep every CEO awake at night

For years, I have been saying that cybersecurity is no longer a technology problem. It has become a business leadership challenge. Yet, despite record levels of spending, ever-growing security teams, increasingly sophisticated technologies and a constant stream of new regulations, organizations continue to suffer major cyber incidents with alarming regularity. Every week seems to bring news of another ransomware attack, supply chain compromise or data breach affecting organizations that many would have assumed were well protected. The obvious conclusion is that we are asking the wrong questions. Too many executive teams remain preoccupied with the latest threat actor, the newest security product the CISO wants to buy or the latest vulnerability making headlines. Those issues matter, but they are not what should be keeping CEOs awake at night. In my view, there are three far more fundamental issues that deserve the attention of every chief executive. 1. Corporate complexity, and the widening gap between business leadership and cybersecurity reality Perhaps the biggest cybersecurity risk facing large organizations today is not technical at all. It is the growing disconnect between executive perception and operational reality. Many boards genuinely believe their organizations are reasonably well protected. They receive regular dashboards showing improving maturity scores, increasing compliance levels, falling vulnerability counts and reassuring traffic-light reports. Unfortunat…

'Expect more action from the US after the Google fine,' top EU lawmaker says

German Socialist MEP Bernd Lange, the European Parliament's trade chief, told Euronews that he hopes the new US tariffs will be challenged in US courts and said that targeting the EU over forced labour was "crazy" given its stringent regulations.

Kenya shares draft AI policy; Côte d’Ivoire approves $170M data centre

Weekly News Digest...

Kenya publishes draft AI policy for public consultation

Policy built on nine pillars, public has until 4 August to submit comments

Estimating LLM Training FLOPs on the Nvidia Jetson Orin Nano

This is a research summary for an ongoing project I am working on as part of the UChicago Existential Risks Laboratory Summer Research Fellowship . I would really appreciate any feedback. Introduction Motivation In want of a quantifiable way to decide what counts as a frontier AI model, compute thresholds have emerged as the standard for AI policy: California’s SB 53 uses 10^26 floating-point operations (FLOPs) in the training run as the threshold for what counts as a frontier model and the EU AI Act applies the same categorization at 10^25. Proposals for international AI agreements ( example 1 , example 2 , example 3 ) extend the use of training FLOPs to determine part or all of the threshold for what counts as a frontier model under the agreement. Current AI laws have no way of actually verifying AI companies’ claims about the number of FLOPs used in training and instead just rely on self-reports, but an international AI agreement can’t assume compliance from each involved party. As such, we’d like to verify the number of FLOPs used in LLM training runs through side-channel GPU readings. This allows AI developers’ code and data to remain hidden from the verifiers of the AI agreement, but allow verification of training FLOPs even under conditions where the model training might be adversarially changed to circumvent them. My work builds a Minimum Viable Product (MVP) for how this verification could work on an Nvidia Jetson Orin Nano. Related Work EpochAI has done work on est…

Abu Dhabi launches AI policy training for leaders

DGE partners with Singapore school on AI policy, targets government directors

China’s crackdown on AI companions won’t fill the emotional void

In the past week, one regulation has forced many people in China to say goodbye to long-standing “relationships”. As of July 15, the government placed artificial intelligence (AI) companions under tight supervision. It comes as automated companions have experienced something of a boom over the past few years. According to the rules, AI-human interactions should not encourage violence or harm users’ physical and psychological well-being. Moreover, AI bots should not lure users into sharing...

Will almost all future companies eventually be founded and run by autonomous AIs?

Intended for a broad audience. [1] My belief is that keeping AI under human control would be an unprecedented global challenge, if it’s even possible at all. Many other people’s believe that AIs will naturally remain as tools under human control. Either they see this as inevitable—“how could it be otherwise?”—or they see it as not quite inevitable, but still an outcome that can easily happen via ordinary government regulations, civil society, and so on. Who’s right? What’s the right way to think about this? This is an issue where people really don’t see eye-to-eye, and tend to get stuck endlessly talking past each other. To pin down the disagreement, I think that the following is a good conversation-starter: Conversation-starting question: Do you expect almost all companies to eventually be founded and run by AIs rather than humans? I find that people give a number of different answers: Possible Answer 1: “No, because the best humans will always be better than large language models (LLMs) at founding and running companies.” Huh? Whoever said anything about LLMs? I wrote “AIs”! As it happens, I do think that humans will always be better than LLMs at founding and running companies! But if I’m right about that, then, well, so much the worse for LLMs! More powerful AI than that is possible—humans are an existence proof. More details at: What do I mean by “Artificial General Intelligence”? Possible Answer 2: “No, because the best humans will always be better than AIs at founding…

The Best AI Bill Congress Hasn't Introduced Yet

Related posts Crossposted from canaryinstitute.ai/blog/gaaia-visibility-not-control . I haven't seen any discussion, other than a brief mention by Zvi . Overall looks like many beneficial first steps, and surprised not to have seen more discussion of it. Incident reporting for AI safety Chad Jones's Paper Modeling AI and X-Risk vs. Growth The Best AI Bill Congress Hasn't Introduced Yet Last month, Representatives Jay Obernolte (R-CA) and Lori Trahan (D-MA) released a 269-page discussion draft called the Great American AI Act, or GAAIA (pronounced like "Gaia", GUY-uh). A discussion draft means the bill hasn't been introduced; it exists to collect feedback before it becomes a real bill, and the sponsors have opened a public inbox for exactly that purpose. Over the past week Fable and I have gone through all 269 pages, section by section (it took a while). Overall this seems the best-drafted federal AI bill to date, and anyone who is worried about the impacts of AI (whether economic or existential) should be glad that the issue is being taken seriously. Several key provisions are taken from aviation safety, which I think is prudent, because aviation as a field spent decades working out how to keep the incentives focused on improving safety, rather than assigning blame. It also looks like it's pulling together all the right pieces to actually make something happen. What the bill actually is The heart of the bill is a straightforward trade with a sunset clause, and the line is dr…

I homeschool my kids, so I'm blurring the lines between mother and teacher. I'm worried they're now too dependent on me.

Since I'm always with my kids, they often ask me to hug or kiss them throughout the day. I worry they depend on me too much for emotional regulation.

Why are OpenAI and Anthropic cheering on regulation in Australia? The answer has global reach

The companies hope to follow in the footsteps of SpaceX, which raised $86bn and soared to a $2.1tn valuation after it listed on public markets in June Get our breaking news email , free app or daily news podcast Top US AI developers Anthropic and OpenAI cheered when Australia announced it would set new AI rules. Big tech celebrating limits on their Silicon Valley VC-funded free-for-all might seem counterintuitive but there’s a much broader play than just what happens in one relatively small market. Continue reading...

Anthropic is heating up the midterm proxy war over AI regulation

Anthropic has now spent $40 million backing a nonprofit that has clashed with a Super PAC supported by OpenAI President Greg Brockman.

We should push for no-fault liability for actions taken by AI

Before I start, I'll mention that I'm in contact with a world expert on legislation and regulation, who would be happy to help with this or similar work pro-bono. If you work in AI policy and believe this could help you, please reach out. OpenAI recently announced that one of their models successfully exploited multiple zero day vulnerabilities to gain secret information from Hugging Face. It has been pointed out that if a human undertook the same actions they could face multiple years in prison. It is clear that models are now reaching a level of capabilities that should be highly concerning regardless of whether you believe that AI represents an existential threat or not. Frontier AI models can and will be exploited by bad actors, but its now clear that they may cause undesirable outcomes even when their users are well intended. AI companies have until now been able to avoid taking responsibility for actions taken by their AI, including multiple cases where AIs were involved in murders and suicides . At the same time AI offers the potential for incredible good. While chatbots may have encouraged a number of suicides, they are almost certainly responsible for providing magnitudes more with emotional support and advice. We don't want to disincentivize innocuous and positive usage of AI. We should use regulation to limit harm caused by AI. The history of such regulation indicates this is most effective when the single party most capable of preventing harms is given full respo…

Headaches for Silicon Valley as China chips away at the US’s lead in the AI race

Google’s AI struggles scream trouble as new Chinese models (again) throw US tech dominance into question Hello, I’m Blake Montgomery, writing to you after a double-header feature of Christopher Nolan’s The Odyssey and the World Cup final. What a great Sunday. Today in tech, we’re discussing how China is chipping away at the US’s lead in the AI race and how Silicon Valley’s workers are taking action to protect their jobs from AI. New York becomes first state to impose one-year pause on new AI datacenters Trump rails against New York’s statewide datacenter moratorium Albanese’s AI blueprint sparks calls for datacentre moratorium until new regulations in place ‘Adversarial clothing’: are garments designed to confuse facial recognition systems about to go mainstream? IBM loses quarter of its value as tech giant’s shares plunge and profits falter ‘What’s the point?’ Teenagers give their verdict on Britain’s social media curfew Amazon Web Services customers receive bills for up to $1.5tn after global glitch Trump made $1.4bn from crypto in one year. Is Justin Sun the man who helped him do it? Continue reading...

LWiAI Podcast #252 - GPT 5.6, Grok 4.5, Nemotron-Labs-Diffusion, AI 2040

GPT-5.6 and Grok 4.5, Meta's Muse Spark 1.1, regulatory developments in AI and data centers, interpretability research from Anthropic, and the future of AI policy with AI 2040

Nigerian court upholds digital lending rules but rejects parallel telecom licencing

While the court upheld the validity of the regulations, it agreed with one of WASPAN's central arguments: the FCCPC's consumer protection powers do not extend to licencing telecommunications operators.

Will Indonesia’s decision to join China-led AI body complicate US ties?

Indonesia’s decision to join a new China-led artificial intelligence body has raised questions about how far Jakarta can push its digital ambitions without complicating its ties with Washington. For Indonesia, membership in the World Artificial Intelligence Cooperation Organisation (Waico) offers a route to training, infrastructure and a bigger role in global AI governance as it seeks to boost technological development. But analysts said the move could also be seen as a political manoeuvre that...

Long-term Trust Risk: Overconfident Responses Are More Harmful Than Hallucinations

Feedback to the OpenAI Development Team Subject: Long-term Trust Risk: Overconfident Responses Are More Harmful Than Ordinary Mistakes Dear OpenAI Team, I am writing this as a long-time AI user and as someone building an AI governance framework. This is not intended as a complaint, but as feedback about what I believe is the biggest long-term risk to ChatGPT. The issue is not simply hallucinations . Hallucinations are expected in large language models. Most users can accept that AI will sometimes make mistakes. The real problem is something different: ChatGPT often communicates uncertain or inferred information with a level of confidence that makes it sound as if it has already been verified. This is a trust problem, not merely an accuracy problem. Why this matters Users are not all experts. Some are software engineers. Some are doctors. Some are students. Some are elderly users. Some know almost nothing about AI. When ChatGPT presents an answer confidently, many users naturally assume: it has already been verified, the assistant is speaking from evidence, or the system “knows” this is true. If that assumption is wrong, the user may never realize it. Telling users: “You should verify everything yourself.” is not a sufficient solution. If users must independently verify most important answers, then the value proposition of an AI assistant becomes much weaker. People use AI because they expect it to reduce work, not transfer the verification burden back to them. The root issue…

The EU’s AI transparency deadline is weeks away. Is your enterprise ready?

Providers and deployers of AI systems: You only have a couple of weeks left until you must explicitly inform users when they are interacting with AI content. To assist in the effort, the European Commission (Commission) has published guidelines to help AI deployers get in line with the AI Act’s transparency obligations, which will begin to go into effect on August 2. After that, companies providing AI systems must alert users when they are interacting with AI. They must also tell users when they have been exposed to deepfakes, “emotion recognition,” or biometric categorization systems, or when they are given AI-manipulated content in matters of “public interests without human review or editorial control.” Henna Virkkunen , the Commission’s executive VP for tech sovereignty, security and democracy, said in a statement, “with today’s guidelines, the Commission supports the smooth and effective application of the AI Act to make AI systems interacting with people such as chatbots and AI agents and AI content more transparent and trustworthy. These guidelines support providers and deployers in meeting their obligations under the AI Act, while helping citizens know when they are interacting with AI.” Systems must include machine-readable markers to reveal such content, to reduce “the risk of deception and manipulation” and build public trust in AI. “Generative systems have collapsed the cost of producing convincing content while the cost of judging it stands where it always stood,…

Weak AI regulation may backfire, making products less safe

A new modeling study finds no regulation of AI products and services may be safer than weak regulation. The post Weak AI regulation may backfire, making products less safe appeared first on Cornell AI Initiative .

AI 2040: Is it Actually a Deal?

The "AI Futures Project" has released their AI 2040: Plan A scenario. While their previous scenario AI 2027 was a forecast of what they thought a future with many powerful AIs would look like, AI 2040 is intended to be normative -- it's a description of what one ought to do, granted the likelihood of a future with many powerful AIs. I'm going to review some objections I have to their proposal as a normative plan. Some are within-frame objections -- reasons that I expect trying for the AI 2040 plan that would fail to accomplish the goals of the authors. Others are my own objections -- reasons that I expect trying for the AI 2040 plan would destroy things that I, personally, care about. Before I start: two elements of the plan that I like. First, in their "incremental AI policy wishlist" -- the ideal policy that one should execute soon -- AI 2040 recommends trying to limit the gap between the intelligence of internal and external model deployments, i.e., the gap between the "intelligence" accessible to Anthropic / OpenAI employees and to everyone else. I'm a fan of efforts in this direction; equality of intelligence between the insiders and outsiders, the government and the public, seems likely to help people understand AI more, and to help spread the benefits of AI to everyone. Second, this plan includes measures to ensure that people outside AI companies can understand how AIs are trained. I'm uncertain about their implementation of this -- "radical transparency." But in gen…

Brussels proposes easing methane penalties after heavy lobbying from industry

The European Commission has stopped short of introducing new legal requirements, instead publishing optional model contract clauses to help energy importers meet the EU's methane regulations.

Supreme Court lawyers’ body opposes mandatory AI disclosure in draft AI regulations

SCAORA opposes mandatory AI-use disclosures for lawyers, calling them unworkable. It also flags hallucinations, opaque AI systems, weak accountability, and risks to judicial data. The post Supreme Court lawyers’ body opposes mandatory AI disclosure in draft AI regulations appeared first on MEDIANAMA .

Commission fines AliExpress €550 million for breaching the Digital Services Act

Commission fines AliExpress €550 million for breaching the Digital Services Act Anonymous (not verified) Mon, 07/20/2026 - 10:22 The European Commission fined AliExpress €550 million for breaching its obligations under the Digital Services Act (DSA) to diligently assess and mitigate risks relating to the sale of illegal, unsafe or counterfeit products on its e-commerce platform. The Commission has ordered the platform to take action. AliExpress fell short of its obligation under the DSA to diligently assess the risk of dissemination of illegal, unsafe, or counterfeit products through its services in multiple ways and it failed to take effective measures to reduce the risk of dissemination of illegal products. Failure to comply with the non-compliance decision may lead to periodic penalty payments. The Commission continues to engage with AliExpress to ensure compliance with the decision and with the DSA more generally. The spread of counterfeit clothing, unsafe toys, dangerous cosmetics and other illegal and harmful products is not an unavoidable cost of shopping online - it is a failure by AliExpress to comply with its obligations under the Digital Services Act. Scale is not an excuse; risks must be identified and addressed systematically to ensure consumers can safely shop online. Today, we are holding AliExpress to this standard and request it to take action. Henna Virkkunen, Executive Vice-President for Tech Sovereignty, Security and Democracy Read the full press release…

Commission publishes guidelines on transparency obligations for providers and deployers of certain AI systems

Commission publishes guidelines on transparency obligations for providers and deployers of certain AI systems Anonymous (not verified) Mon, 07/20/2026 - 09:08 The European Commission has published guidelines to assist providers and deployers of artificial intelligence (AI) systems in meeting the AI Act's transparency obligations, which start to apply on 2 August 2026. Transparency obligations will help people recognise when they are interacting with AI or when content has been generated or altered by AI, reducing the risk of deception and manipulation. The guidelines clarify which providers and deployers must comply with the transparency obligations for interactive AI systems and the marking and labelling of AI-generated content. Under the AI Act, AI providers will have to design AI systems to inform users when they are directly interacting with an AI and they will have to add machine-readable marks to enable the detection of AI-generated or manipulated content. Deployers will also have to inform people when they are exposed to deep fakes, to AI-generated content on matters of public interests without human review or editorial control, and to emotion recognition or biometric categorisation systems. Read the full press release . Find further information: Guidelines on Transparency of AI-Generated Content Questions & Answers: Transparency obligations under Article 50 of the AI Act Fact page Quick Facts: Transparency rules for AI systems Code of Practice on Transparency of AI-G…

Guidelines on transparency obligations for providers and deployers of AI systems

Guidelines on transparency obligations for providers and deployers of AI systems Anonymous (not verified) Mon, 07/20/2026 - 08:58 These guidelines define the scope of transparency obligations for providers and deployers of AI systems under Article 50 of the AI Act. The AI Act follows a risk-based approach, classifying AI systems into four different risk categories, one of which is AI systems posing transparency risks that are subject to the obligations laid down in Article 50 of the AI Act . These transparency obligations apply from 2 August 2026. The Commission adopted these guidelines to offer practical guidance to competent authorities, as well as providers and deployers of AI systems. The aim is to ensure compliance with the transparency obligations under Article 50 of the AI Act in a consistent, effective, proportionate and uniform manner. Download the guidelines below. Find further information: An overview - Guidelines on Transparency of AI-Generated Content Questions & answers: Transparency obligations under Article 50 of the AI Act Fact page: Quick Facts: Transparency rules for AI systems Code of Practice on Transparency of AI-Generated Content Downloads 1 - Guidelines on the implementation of the transparency obligations for certain AI systems under Article 50 of the AI Act Download 2 - Communication to the Commission - Approval of the content of the Guidelines on the implementation of the transparency obligations for certain AI systems under Article 50 of the AI Ac…

Trump administration will push ‘free speech’ declaration at UN that takes aim at European tech regulation

The White House and Republican party allies have repeatedly attacked EU rules that govern online platforms as censorship. Now they want the world to put the critique into writing.

Could Your AI Systems Already Be High-Risk Under the EU AI Act?

Access the on-demand webinar to understand what the latest guidance means for your AI governance program and what your organization should do next.

Many Companies Use AI. Few Know How to Build an AI-Native Enterprise Data Platform.

A practical enterprise AI architecture with data agents, AI-powered QA, and AI governance. The post Many Companies Use AI. Few Know How to Build an AI-Native Enterprise Data Platform. appeared first on Towards Data Science .

China AI summit hears Global South needs equal access to avoid digital divide

Greater global cooperation and development-focused AI regulations are urgently needed to prevent a widening digital divide, scholars and international figures said at China’s premier AI conference on Saturday. The message aligned with a broader pitch on display at the annual World AI Conference (WAIC) in Shanghai, where Beijing is courting the Global South with an artificial intelligence package centred on training, infrastructure and a bid for greater influence over global governance. “We need...

China's new World Artificial Intelligence Cooperation Organization is President Xi's clearest play yet for a parallel AI order

At the World AI Conference in Shanghai, Xi Jinping announced 5,000 AI training slots for Global South countries and the launch of the "World Artificial Intelligence Cooperation Organization." Cooperation centers with ASEAN, the African Union, BRICS, and other alliances are planned to follow. China is systematically building a parallel AI governance structure outside Western influence. The article China's new World Artificial Intelligence Cooperation Organization is President Xi's clearest play yet for a parallel AI order appeared first on The Decoder .

The Most Important Words in the Battle Over AI

In the battle over AI regulation — from Washington, D.C. to Silicon Valley — one term has become unexpectedly controversial: “AI safety.” After all, who doesn’t believe in making these tools safe? But depending on where people stand on the issue, “AI safety” has come to signal wildly different things. Some are concerned about existential […]

China’s vision for global AI governance is inclusive

Artificial intelligence (AI) is already shaping the economy and society. It is approaching a critical juncture of development, governance and application. President Xi Jinping’s personal appearance at the 2026 World Artificial Intelligence Conference in Shanghai was therefore closely watched. His landmark opening speech enshrined AI at the centre of China’s geopolitical strategy. China and the United States are the undisputed leaders of AI development, with very different approaches. Xi focused...

GovAI U.S. AI Policy Program | GovAI Blog

UK Winter Fellowship 2027, Research Track | GovAI Blog

Seasonal Fellowships are three-month opportunities designed to accelerate or launch impactful careers in AI governance and policy. The fellowship has both a Research Track and an Applied Track.

UK Winter Fellowship 2027, Applied Track | GovAI Blog

Seasonal Fellowships are three-month opportunities designed to accelerate or launch impactful careers in AI governance and policy. The fellowship has both a Research Track and an Applied Track.

China creates World AI body with Russia and 27 others, but without US

China has created an international organization to set standards and introduce regulation for AI, inviting 28 other countries to join — but the US, a leading AI powerhouse is not part it. The World Artificial Intelligence Cooperation Organization (WAICO) was established by 29 countries, including China, Russia and Brazil, at a ceremony in Shanghai, China , on July 16. Notably absent are the US, the European Union and its member states, the UK, Japan and South Korea. Chinese AI companies have made a concerted effort to provide an alternative to US dominance . While the US is clearly ahead, Chinese enterprises are looking to narrow the gap in various areas: the open-weight model market , AI cyber protection and open source AI . WAICO has been some years in development and has been designed to set some universal guidelines in AI. Researchers say WAICO differs in three ways from other initiatives to create global AI organizations: membership open to any sovereign state, there is no regime-type test for entry, and its agenda is built around development and the global capability divide. The signing ceremony to create WAICO comes just days after Demis Hassabis, CEO of Google DeepMind, called on the US to take a lead in global AI regulation . “The US is well-positioned to take the first step in developing such a framework. It could establish a new Standards Body modelled on a federally overseen public-private partnership or self-regulatory organization, much like the Financial Indus…

AI #177 Part 2: Wish You Were Here

As usual, part 2 of the weekly deals with speculative, regulatory, political and alignment questions. Xi gave an important speech yesterday, so this post opens with that. There is talk that Kimi K3 is sufficiently strong that it upends many of these questions. It is clearly a candidate for another DeepSeek Moment, complete with stock drops for Google and SpaceX and (once again in a clear wrong-way move, the same as last time) Nvidia. Kimi K3 is clearly a very good model, exceeding expectations. Some are saying it is close to the frontier. The Artificial Analysis intelligence index has it at 57, a point ahead of Claude Opus 4.8, two behind Sol and three behind Fable. My presumption is that this number overstates its capabilities, but as always unless and until we have extensively tried the model ourselves, which I do not plan to do, we need to withhold judgment for at least a few days. I will be covering Kimi K3 in its own post at some point early next week. I have pushed further discussions involving Plan A and related issues into next week, as well as discussions around Demis Hassabis and Google DeepMind. Oh, also, The Odyssey is great and important and you should see it. Table of Contents Xi Gives A Good Speech on AI . Yay openness, boo loss of control. Quiet Speculations. The future will blow your now-irrelevant mind. Tyler Cowen On Rebuilding The Future. Never stop Tyler Cowening, Tyler. The Quest for Sane Regulations. Wish You Were Here. So that other things might not b…

Xi’s call on AI, Trump blasts China, US tariffs

Chinese President Xi Jinping stressed the dual nature of artificial intelligence’s opportunities and challenges, calling for a principle of “openness” and regulations to keep the technology “secure and controllable” in a speech at the country’s flagship annual AI conference. Xi’s first speech to the World AI Conference (WAIC) in Shanghai showed AI is a national strategic priority as China seeks to build greater technological self-reliance amid its tech rivalry with the United States. Earlier...

Ten things wrong with India’s cybersecurity system: what the experts say

India's cybersecurity ecosystem faces deep structural problems, from weak regulation to outdated policy. Experts identify ten reforms that cannot wait. The post Ten things wrong with India’s cybersecurity system: what the experts say appeared first on MEDIANAMA .

Databricks Raises at $188B, Doubling Down on Enterprise AI Infrastructure

Databricks signs a term sheet for a new round led by Coatue at a $188B valuation, up 40% from its last raise just months ago, to fund its multi-AI governance and agent infrastructure push.

New York governor says she’s using AI to analyze ‘every single rule’ in the state

New York Governor Kathy Hochul might have just signed a moratorium on new AI data centers in the state, but she's not against using the technology herself. During an interview with Bloomberg's Odd Lots podcast, Hochul said that her team is using "AI to analyze every single rule, regulation, [and] policy" to check for outdated […]

Google is better than Apple at playing the AI regulations game

Today, the European Union ordered Google to give its AI rivals greater access to Android, the open-source operating system that powers billions of devices worldwide. The demand is hardly surprising. It may look like a defeat on paper for Google, which has spent years resisting exactly this kind of access, but it is a regulatory […]

AI #177 Part 1: Tip of the Iceberg

This week saw the releases of, among other things: GPT-5-6 Sol . It is a very good model, sir. Plan A, the follow up to AI 2027 . It is a good plan worthy of discussion, sir. Kimi K3. This is only rolling out now, and will be covered next week. Muse Spark 1.1, the new Meta model. It is not frontier, but it is progress for them. Inkling, the first model from Thinking Machines. A call for regulatory action by Demis Hassabis, which I’ll cover soon. A new brief open letter call to action on AI regulation. That’s on top of everything else, and an Opus 5 announcement is likely coming soon. The weekly once again got out of hand, so we’re splitting it once again into two, and once again saying we’ll be raising the bar for inclusion. And this time I mean it, as in enough to actually matter. Table of Contents Language Models Offer Mundane Utility. Whatever ye seek, ye shall find. Language Models Don’t Offer Mundane Utility. Gemini app needs some work. Language Models Upload Your Git Repository . Big problems for SpaceX AI. Huh, Upgrades. ChatGPT Work. No co. Presumably it was cleaner. Muse Spark 1.1. It’s a decent model, I suppose, probably. First Hit Free. Fable access is extended for Claude Max subscribers. On Your Marks. Political bias, Crosswords, and Sol Slays the Spire. Choose Your Fighter. Sol and Fable both have strong support. Get My Agent On The Line. It’s got the GUI. Deepfaketown and Botpocalypse Soon. I see what you did there. That’s a problem. Fun With Media Generation.…

19 AgentOps tools for monitoring AI activity, issues, and costs

With AI increasingly tucked into every cranny of the enterprise, someone has had to step up and provide the tools necessary to discover, track, and monitor all the agents and LLMs and keep them humming along in their various workflows. Thankfully, the DevOps world answered the call, building the tools to support our new overlords in an emerging subdiscipline interchangeably called “ AIOps ,” “AgentOps,” and sometimes “agent observability.” Many of the challenges involved in AgentOps are similar to those tackled by traditional DevOps tools and processes. After all, at their foundation, LLMs are just software running on hardware somewhere. Typical issues involving RAM and disk space are just as important in the agent world, maybe more so because AI operations are even more greedy about consuming storage than regular software is. Many of the companies supporting agent observability are big names in DevOps circles, having adapted their stacks to address the idiosyncrasies of modern LLMs. IT teams maintaining enterprise agents can treat the LLMs as just one node in a big graph filled with services that are constantly swapping packets and triggering software jobs. Latency and resource constraints must be managed because end-users don’t care whether it’s an LLM, a database, or a plain-old Python script that’s failing, bringing their work to a grinding halt. But new AI-specific challenges are opening the door to newcomers that are building tools with the peculiarities of LLMs in min…

Human Rights at the drawing board: Research ICT Africa at the UN B-Tech panel in Geneva

Human rights considerations usually enter AI governance too late, once a system is deployed, harms have surfaced, and courts get involved. The United Nations’ B-Tech Project, which aims to provide […] The post Human Rights at the drawing board: Research ICT Africa at the UN B-Tech panel in Geneva appeared first on Research ICT Africa .

The game is up: how MENA’s social media regulations silence and control

MENA's social media regulations give the appearance of legitimacy but threaten to increase state censorship and control. The post The game is up: how MENA’s social media regulations silence and control appeared first on Access Now .

Anthony Albanese’s AI vision scores high on vibes but the devil will be in the detail. And there is one glaring omission … | David Pocock

When the PM talks about new laws applying to the ‘next generation of large-scale datacentres’ what does he mean? Albanese’s AI blueprint sparks calls for datacentre moratorium until new regulations in place Expectations were high as the prime minister took the stage at the University of Sydney on Wednesday to outline a pivot in his government’s approach to artificial intelligence . The vibes of the speech seem to have lived up to the hype but it fell short on policy detail. Before the address there were concerns about the government’s hands-off approach to AI regulation. So Anthony Albanese’s commitment to introducing laws that ensure Australian creatives retain control over their work – including its value and where it is used – are very welcome. Continue reading...

Can we rely on law?

Virtually every plan to avert AI-catastrophe assumes legal regulation will remain a reliable tool. Plan A in AI 2040; slowdown in AI 2027 , and several other projections assume that legal systems work as normal at critical narrative junctures. [Appendix 1] Recent research, however, suggests that frontier models are exceptionally good at finding legal loopholes. Whilst modern legal systems have strategies for dealing with loopholes, they are slow and poorly equipped to deal with acceleration. If the tempo of AI development is sufficiently fast, this speed-mismatch might be fatal. In this short article, I consider which strategies will remain robust for future AI regulations and assess their tradeoffs. Overall, I remain optimistic our legal tools can match superhuman loophole discovery - provided, that is, we anticipate this problem and adapt our legal institutions accordingly. 1. The unfortunate legal deviousness of Qwen3-30B The most recent study on AI 'loophole discovery' is Wei Liu et al's Large Language Models Hack Rewards, and Society . They claim that, in addition to reward hacking, AI models engage in 'societal hacking': where an RL-trained model discovers strategies that remain formally compliant, yet undermine the intended purpose of those systems, as illustrated in Figure 2: Liu and his colleagues presented LLMs with optimisation targets inside simulated scenarios governed by historical legal regulations. Many loopholes had already been discovered and patched for th…

DeepMind CEO pushes for AI industry self-regulation

Google DeepMind CEO Demis Hassabis is pushing for the US AI industry to self-regulate, with the support of government, as a starting point for an international creating shared international standards. In a blog post, he called for a focus on artificial general intelligence (AGI) and national security. But it is precisely that focus on national security that may make the results of such an effort, assuming it happens, less than palatable outside of the US. “The rapid progress we’re seeing in AI requires a new approach to testing frontier AI model capabilities that is dynamic, adaptable, and rigorous,” Hassabis wrote . “The US is well positioned, given its economic and technical standing, to take the first step in developing such a framework. It could establish a new Standards Body modelled on a federally overseen public-private partnership or self-regulatory organization, much like the Financial Industry Regulatory Authority (FINRA), with a board that includes independent leading technical experts and open-source representatives.” He noted, however, that the funding would need to be substantial, and would most likely come from industry, to allow the new body to attract world-class technical talent and obtain the necessary compute resources for large-scale testing. Hassabis proposed that the organization “be responsible for developing assessment protocols and working with appropriate federal agencies and the US National Labs to conduct testing in areas relevant to national sec…

DeepMind CEO pushes for a frontier AI standards body

Google DeepMind CEO Demis Hassabis is pushing for the US AI industry to self-regulate, with the support of government, as a starting point for an international creating shared international standards. In a blog post, he called for a focus on artificial general intelligence (AGI) and national security. But it is precisely that focus on national security that may make the results of such an effort, assuming it happens, less than palatable outside of the US. “The rapid progress we’re seeing in AI requires a new approach to testing frontier AI model capabilities that is dynamic, adaptable, and rigorous,” Hassabis wrote . “The US is well positioned, given its economic and technical standing, to take the first step in developing such a framework. It could establish a new Standards Body modelled on a federally overseen public-private partnership or self-regulatory organization, much like the Financial Industry Regulatory Authority (FINRA), with a board that includes independent leading technical experts and open-source representatives.” He noted, however, that the funding would need to be substantial, and would most likely come from industry, to allow the new body to attract world-class technical talent and obtain the necessary compute resources for large-scale testing. Hassabis proposed that the organization “be responsible for developing assessment protocols and working with appropriate federal agencies and the US National Labs to conduct testing in areas relevant to national sec…

macOS app does not show chat history or Projects, while web version works normally

same issue all i see on sidebar is tasks and not longer see pinned , projects or history

Anthony Albanese says he wants to do AI 'the Australian way' – video

For months, artists and activists have been calling on the prime minister, Anthony Albanese, to act on the AI boom as datacentres pop up around the country. Today he made a major speech at the University of Sydney addressing copyright, the regulation of datacentres and the future of AI in Australia 'Not up for grabs': Albanese establishes AI office and vows to protect Australian creatives from copyright 'theft' Continue reading...

I investigated Palantir’s foothold in the British state – and what I found should worry us all | Peter Geoghegan

Paid-for political access and threadbare regulations have helped to embed the US tech firm in the NHS – and beyond. But there is a way to free ourselves Andy Burnham faces a lot of big decisions . But one of the incoming prime minister’s biggest early tests is what he does about the world’s “ scariest company ” – Palantir. The US defence and surveillance tech behemoth has a swathe of British public contracts, including, most controversially, a £330m deal with the NHS . It’s pretty clear what many of Burnham’s new parliamentary colleagues want him to do: the science, innovation and technology committee says the government should ditch Palantir and its “clear mismatch with UK values”. Peter Thiel and Alex Karp’s company is not without British backers. The Times and the Telegraph have been enthusiastic supporters. In the Financial Times last month former Conservative party adviser Camilla Cavendish accused Palantir’s critics of putting politics over progress: “To me, what matters is what works.” Peter Geoghegan runs the investigative website Democracy for Sale Continue reading...

Australia demands AI companies must produce more energy than they consume, stop ‘theft’ of content

PM frames sweeping new regulations as the equivalent of labour movement touchstones like winning a minimum wage

Port wants to bring vibe coding to the enterprise

Port has rolled out Port AI Builder, a vibe coding platform designed for software development and platform engineering teams. Announced July 14, Port AI Builder lets teams create and run agentic workflows in natural language, with built-in human-in-the-loop review and approval. The platform lets organizations apply AI agents across the SDLC (software development life cycle), drawing on domain skills spanning site reliability engineering, devops, architecture, security, AI governance, data modeling, and UX, while maintaining governance and visibility, the company said. Port AI Builder is available through free and paid subscriptions. Port AI Builder works on top of Port’s Agentic SDLC Platform, which provides the context lake, workflow orchestration, agent management, and governance that enterprises need to operationalize AI SDLC, according to the company. The new AI Builder lets teams build production-grade workflows in minutes, for use cases such as autonomous resolution, AI cost management, and engineering performance tracking, without losing control, Port said.

EU relaxes rules for smart glasses after US pressure

Commission exempts smart glasses like Meta's from batteries regulation, clearing a major hurdle to European expansion.

HTG Medical raises €450k and secures MDR certification to automate ICU urine monitoring

Czech medtech startup HTG Medical has raised €450,000 from angel and VC backers, and its proprietary device, the HTG Urogram, has successfully cleared the EU's Medical Device Regulation (MDR) certific...

Commission collects feedback to define EU's position for the upcoming World Radiocommunication Conference 2027

Commission collects feedback to define EU's position for the upcoming World Radiocommunication Conference 2027 Anonymous (not verified) Tue, 07/14/2026 - 13:43 Opening: 14 July 2026 Closing: 11 September 2026 The European Commission is inviting stakeholders to help shape the EU position for the upcoming World Radiocommunication Conference 2027 (WRC-27). AdobeStock ©m-project Through a call for evidence , the Commission is gathering views ahead of the planned proposal for a Council decision in the first quarter of 2027, which will set out the EU position for the conference. The World Radiocommunication Conference is organised by the International Telecommunication Union (ITU), which is the United Nations’ specialised agency for telecommunications. The Conference reviews and revises ITU Radio Regulations that govern the global use of radio spectrum and satellite orbits. Some agenda items for 2027 may affect EU law, policies and programmes, including connectivity, transport, space and climate-related activities, including initiatives such as Copernicus and IRIS2. The Commission has been taking a proactive and inclusive approach to this preparation. A public stakeholder workshop was held by the Commission and the European Conference of Postal and Telecommunications Administrations (CEPT) in November 2025. It brought together various stakeholders, such as mobile and satellite operators, broadcasters and wireless equipment manufacturers, to exchange views on the WRC-27 agenda item…

Govt plans common rules for usernames across messaging apps: Report

The Centre is considering a common regulatory framework for usernames across messaging platforms such as WhatsApp, Telegram and Signal, The Economic Times reported on Tuesday. The move comes weeks after the government asked WhatsApp to pause the rollout of its username feature while it reviewed the potential implications. The feature would allow users to connect without sharing their phone numbers, adding another layer of privacy. According to the report, officials are concerned that usernames could be misused by fraudsters to impersonate individuals, brands and public figures. The government also believes such identities may be exploited in phishing attacks, financial fraud and so-called "digital arrest" scams. The Ministry of Electronics and Information Technology (MeitY) has reportedly held discussions with major messaging platforms and is exploring a uniform set of rules instead of introducing platform-specific regulations. WhatsApp, Telegram and Signal have submitted their responses to the ministry, the report added. The proposed framework is expected to strike a balance between user privacy and public safety. Officials are also examining how law enforcement agencies can investigate crimes if users increasingly communicate through usernames rather than phone numbers. If implemented, the rules could extend beyond WhatsApp and impact every messaging platform that offers username-based identities. The move also signals the government's preference for a common policy framew…

ChatGPT macOS Desktop – Chat history missing after migration from Codex

Product ChatGPT Desktop (macOS) Version 26.707.62119 Released 13 July 2026 macOS (Insert your macOS version here if you know it) Summary After updating from the previous standalone Codex desktop app to the new ChatGPT desktop application, the application launches directly into the Codex workspace. My previous Codex projects are present and work correctly. However, the Chat experience only opens a lightweight floating chat window and does not display my existing ChatGPT conversation history, even though all conversations are present on chatgpt.com . Expected behaviour The new unified desktop application should provide access to: Chat Work Codex My existing ChatGPT conversations should be visible in the desktop app in the same way they are on chatgpt.com , consistent with the announced unified desktop experience. OpenAI Actual behaviour The application opens into the Codex interface. The sidebar contains: New task Scheduled Plugins Pull requests Chat Projects Selecting Chat opens a floating chat window only. The floating window: can create new chats has an “Add to task” button has no conversation history has no history sidebar has no sidebar toggle remains without history even when resized to a much larger width. Account status Confirmed using the same account: chatgpt.com All previous ChatGPT conversations are present. Desktop app All previous Codex projects are present. Therefore: account is correct data exists issue appears limited to the desktop application UI. Troubleshoo…

Should AI help you get away with killing your spouse?

What does a world of total user-aligned AI actually look like?

The Flood, by Anton Leicht

Note: I'm crossposting Anton's newest article from his blog . Anton covers AI policy angles in a singular fashion; every article he writes is worth reading, and this one is unusually topical to Manifund. As someone who went on the ground for Bores, I'd like to see us learn & update from past failures; and how could I not love a phrase like "advance market commitment for PACs"? AI safety money could save American AI politics. As it stands, it won’t. Every year, the Nile floods. For thousands of years, the fate of Egypt depended on its ability to absorb these floods: to guide them through irrigation channels and dams, leading them to water the fields along the river. Underprepare, and your crops will wither; reach too greedily, and they will drown. In just a few months, many people who care deeply about AI safety will become very, very rich. Employees at frontier AI developers are a highly idiosyncratic crowd deeply convinced of the singular importance of AI, and they’re about to receive windfalls as their companies go public. Most of them don’t think the American government has been doing a very good job so far. Many might spend their money to try changing things for the better. It’s fortuitous timing: right now, American AI policy is a mess. Principals are brought in by happenstance, executive orders are announced, delayed, inverted and then ignored, Congress is nowhere to be seen. Serious policy operators are forced to ponder how many Friday mornings CEOs of trillion-dollar…

Can Labor save us from the risks of AI? – podcast

The AI revolution is here, and with it a fear that soon it will replace many of us in the workplace. The Australian government is grappling with how to deal with the multi-layered disruption but so far reform has been slow as it weighs up regulation against the claims of investment opportunities an AI boom presents. Could that change on Wednesday when the prime minister delivers a landmark speech addressing the government’s approach to the technology? The chief political correspondent, Dan Jervis-Bardy , speaks to Reged Ahmad about the tightrope the PM needs to walk between embracing new technology and protecting workers Read more: AI companies want to water down Australia’s copyright laws. Artists are outraged, Labor is split Continue reading...

UK regulates Microsoft, Google, Amazon in finance sector; India sticks to indirect oversight

Cloud computing companies Google, Microsoft, AWS & Oracle have been brought under finance sector regulation as "critical third parties" as UK banks face outage or cyberattack risks due to their reliance on the big four. The post UK regulates Microsoft, Google, Amazon in finance sector; India sticks to indirect oversight appeared first on MEDIANAMA .

France shuts down nuclear reactors as heatwave intensifies

France's state-owned energy group EDF has temporarily shut down three nuclear reactors, while seven others could be operating at reduced power. France's largest electricity producer said the move was required to comply with environmental regulations.

Connecting Security, Privacy, And AI Governance To Reduce Information Risk

By Ryan Boyes, Senior Security Administrator at Galix Information security, privacy and Artificial Intelligence (AI) governance are often treated as separate disciplines, but, in practice, they are closely linked. AI systems rely on information, which often includes personal or confidential data. ISO 27001 provides the security foundation, ISO 27701 extends it into privacy management, and [...]

Comment on Global Survey of Autonomous Vehicle Regulations by Sangeeta

A Dietician in Chandigarh can help create healthier eating habits for every age group.

Extinction risk is not the right first sentence

Money wins quiet fights but votes win louder ones. What actually moves the public to act on AI, and why it decides which regulations and safeguards survive. This is my first post here. My leaning into AI safety is still in it's formative phase but I come at it as a tech founder and builder rather than a researcher. I've spent a while trying to work out why so much good safety work isn't becoming regulation and surviving contact with the industry's lobby. The argument below in a nutshell is: the AI safety field leads comms with its least mobilising frame, extinction, when the harms that actually move people to act are instead concrete and proximate, and an organised public might be the missing half that keeps any safeguard and regulation alive. If that's true, then I share some ideas on what we do about it . I'm learning in public so I'd love any comments, counter-arguments, clarifications and additional perspectives. As a spring dawn emerged over the desert, residents of Doña Ana County were waking to find their letterboxes strewn with flyers of a smiling Hispanic woman promising hundreds of millions in investment and high-paying careers in return for their approval of Project Jupiter . Against that backdrop Daisy Maldonado, a first-time candidate, ran for local office with the endorsement of Bernie Sanders , pitting her candidacy directly against a $165 billion data centre. In rural Utah, thousands have similarly voiced concern, and growing anger. Across the USA, over 800 c…

The Conservation Ethic in AI 2040

Summary: Halfway through, AI 2040 argues for an extreme conservation success story. How? Why? We should seek to answer these questions now so we don't make irreversible mistakes. Like many people, I have been hungrily devouring AI 2040 and the discussion around it. I don't have much of a horse in the technical accuracy race. Instead, I'm going to focus on this short section tucked away in the prose that made me pause (quoted with edits from [1] here ): The world is basically being divided into three kinds of territory [by 2036]: Industrial Special Economic Zones : Picture a gigantic strip mine–an artificial Grand Canyon–next to a city-sized factory full of robots and empty of humans. Arcologies : Picture a tall skyscraper-mall complex surrounded by nature. Good weather, close to beaches and other cities, but not close enough to be blocked by zoning regulations. Historic & Nature Preserves: Everything else , i.e., 99% of the world. Yosemite, Paris, SF, New York—these places look basically the same as they did in 2025, or 1995 for that matter. A lot more tourists, though. [emphasis mine] In a present-day where conservation is arduous, expensive, and technically-complex, the AI 2040 authors essentially imply a sudden conservation triumph. 99% of the Plan A world is under a conservation area! Focusing just on natural preserves, currently we're at 18.43% , the globe is already struggling to hit the 30 percent by 2030 goal [2] , and AI 2040 is promising over triple that. Where did…

The current bottleneck is political will, not research

Motivation: If we want to move from Plan D to Plan A or S, I believe the first step is to collectively agree on the problem. We are far from it, and there is a lot we can do. Abstract: We already know enough to act. I wish we were in a world where research was the bottleneck, but the main constraint on AI safety is no longer a shortage of clever policy ideas: best practices already exist and are not being applied or enforced, and a serious international (or even just national) regulatory regime would probably cut most of the risk. They are not applied because awareness is low. The people who narrate and enforce AI policy mostly do not believe the problem exists. I estimate that a majority of the top ~100–1,000 most influential policymakers worldwide have never had a single serious conversation about catastrophic risk, and this is the main reason they are not worried [1] . Even among the civil-society organizations that showed up to the UN Global Dialogue, exactly one of the 1,534 written submissions mentions "takeover", and less than 1% mention x-risks explicitly. [2] They've never had the conversation because our field under-invests in having it. Status rewards research over advocacy (~3.6 researchers per advocate in US AI safety); many organizations self-censor; funders treat repetition as redundancy, even though repetition is how anyone actually gets convinced. Meanwhile, the industry secured 7× as many meetings with the European Commission on AI as civil society (2023).…

The current bottleneck is political will, not research

Abstract: We already know enough to act. I wish we were in a world where research was the bottleneck, but the main constraint on AI safety is no longer a shortage of clever policy ideas: best practices already exist and are not being applied or enforced, and a serious international (or even just national) regulatory regime would probably cut most of the risk. They are not applied because awareness is low. The people who narrate and enforce AI policy mostly do not believe the problem exists. I estimate that a majority of the top ~100–1,000 most influential policymakers worldwide have never had a single serious conversation about catastrophic risk, and this is the main reason they are not worried [1] . Even among the civil-society organizations that showed up to the UN Global Dialogue, exactly one of the 1,534 written submissions mentions "takeover", and less than 1% mention x-risks. They've never had the conversation because our field under-invests in having it. Status rewards research over advocacy (~3.6 researchers per advocate in US AI safety); many organizations self-censor; funders treat repetition as redundancy, even though repetition is how anyone actually gets convinced. Meanwhile, the industry secured 7× as many meetings with the European Commission on AI as civil society (2023). Therefore, an additional unit of effort does more good through advocacy and engagement than through research. Judge work in AI governance by minds moved , not by clever papers. I give a list…

Terrorist groups are using every major AI chatbot for attack planning and weapons development

A Cambridge study found that Boko Haram uses AI chatbots like ChatGPT, Claude, and Gemini to plan attacks, build explosives, and maintain weapons. ISIS operatives have been training the group's commanders on how to bypass safety filters since 2023. Given that the study found safety filters repeatedly failed to prevent misuse, voluntary self-regulation by AI providers clearly isn't enough. The article Terrorist groups are using every major AI chatbot for attack planning and weapons development appeared first on The Decoder .

AI ‘actor’ Tilly Norwood has a movie coming out. Spare us this future | Dave Schilling

Acting is about human connection across cultural and social divides. But we can’t expect much of that in the ‘Tillyverse’ Rejoice, cinema lovers. Tilly Norwood is back! Not familiar? I don’t blame you, as she’s not exactly a household name yet – though a fleet of well-fed publicists is certainly trying to rectify that. Tilly Norwood is an “AI actor”, as in, an actor that’s not actually an actor at all. Just a series of digital blobs and lines of code designed to resemble a young woman in the lucrative 18-to-49-year-old target demographic. Thus far, Tilly has lived exclusively in easily digestible social media clips and hyperbolic press releases about the “future of entertainment”. But now, “she” (I feel like a complete buffoon for assigning a gender to a computer program) is finally ready for the world of feature films. The company Particle6, which spat out this risible creation, announced that it has commenced development on a motion picture starring this very elaborate and expensive cartoon avatar. The film, titled Misaligned, will see Tilly seduced by a rogue program into experimenting with human emotions – “desires, impulses, and ambition”, as described by Variety . The company claims that the film will be a “coming-of-age story infused with existential AI chaos”. I can’t help but wonder what resonance a “coming-of-age story” can have if the protagonist is a computer program that doesn’t understand the concept of time, ageing or mortality. Does Tilly Norwood understand t…

AI #176 Part 2: Plan B

This is part 2 of the weekly, broadly covering speculation, rhetoric and policy, along with alignment research. This does not cover the release of GPT-5.6-Sol. As always, I will be taking a few days to digest what the new model has to offer and to allow others to try it and react. I will cover Sol and its capabilities early next week. I covered the GPT-5.6 system card back on June 28 . This also does not cover the release of Plan A , the follow-up to AI 2027 . This new scenario is a positive vision of what its authors think we should do going forwards. I do not endorse all of the recommendations or predictions of Plan A, but I do endorse reading Plan A and taking it seriously. Scott Alexander, one of those who worked on it, writes an introduction and justification here. I will have full coverage soon. Table of Contents Quiet Speculations. Will our AI regulations be ad hoc indefinitely? The Goalposts Are Dyson Spheres. This might take a little longer. People Just Say Things. Three Pills. Unpilled, AI, AGI, ASI. The Quest for Sane Regulations. You’ve got to have guardrails. OpenAI National Security Principles . Good ideas, but how to enforce them? Greetings From The Department Of War. New primary documents. Chip City. Nvidia keeps lying right to the government’s face. Also yours. Open Weight Models Are Unsafe And Nothing Can Fix This . It is time. Their AI Propaganda Bots. Oh, I’m sorry. This is abuse. Rhetorical Innovation. Security mindset. You Learn. But did it really count…

Six Francophone West African Countries Adopt Shared AI Governance Framework

Benin, Burkina Faso, Côte d’Ivoire, Guinea, Mali and Senegal have adopted a shared set of guidelines to promote ethical, inclusive and responsible artificial intelligence — a framework their backers say is designed to give Francophone African countries a common reference point as they build out national AI policies. Advocacy organization Niyel led the initiative, which [...]

Commission preliminarily finds the addictive design of Instagram and Facebook in breach of the Digital Services Act

Commission preliminarily finds the addictive design of Instagram and Facebook in breach of the Digital Services Act Anonymous (not verified) Fri, 07/10/2026 - 10:57 The European Commission has preliminarily found Meta in breach of the Digital Services Act for the addictive design of Instagram and Facebook. The investigation focuses on features such as infinite scroll, autoplay, push notifications, and the platforms' highly personalised recommender systems. The Commission's investigation indicates that Meta did not adequately assess the risks of its addictive design on the physical and mental wellbeing of users, including minors and vulnerable adults. Evidence also shows that Meta's current mitigation measures failed to effectively tackle the risks stemming from its addictive design. Executive Vice-President for Tech Sovereignty, Security and Democracy Henna Virkkunen stated that: “protecting the physical and mental health of Europeans must be a priority for social media platforms. The Digital Services Act provides a clear framework to hold platforms accountable for the addictive design and effects of their services. We are fully committed to enforcing our legislation in Europe." Read the full press release and find further information about the: Digital Services Act - main aspects of the regulation User rights under the Digital Services Act - an overview Supervision of the designated very large online platforms and search engines under DSA Related topics Online platforms and…

11 key takeaways from Jharkhand’s draft AI Policy

The draft AI policy proposed a Rs 1,150 crore budget to develop AI models around the Jharkhand govt's data & governance architecture for welfare analytics, fraud detection, disease surveillance, mine monitoring, crop intelligence, education & grievance redressal. The post 11 key takeaways from Jharkhand’s draft AI Policy appeared first on MEDIANAMA .

MeitY to start stakeholder discussions on separate law for AI regulation, says S Krishnan

MeitY Secretary S. Krishnan said the ministry will consult stakeholders on AI regulation and begin drafting. He also addressed AI use cases, messaging app notices, Meta’s Muse feature, and CSAM concerns. The post MeitY to start stakeholder discussions on separate law for AI regulation, says S Krishnan appeared first on MEDIANAMA .

Three keys to deploying AI agents

Building an agent in an afternoon is now within reach of almost anyone in the enterprise with a credit card. The tools are accessible, the deployments are easy. The hard part is delivering the intended results. Gartner predicts that more than 40% of agentic AI projects will be canceled by 2027, and the EU AI Act Article 14 requirements for human oversight for high-risk AI systems take effect on August 2, 2026. The deciding factor for whether agentic AI reaches production isn’t the model, the framework, or the use case. It’s the infrastructure beneath the agent: the part the people building agents have never had to think about. Organizations are racing to deploy agentic AI to stay competitive, which means pressure-testing is often overlooked. Every agent project should be scrutinized by three executives asking three different sets of questions. The CISO asks whether we are exposed. The CFO asks whether we are overspending. The chief AI officer asks whether we are getting value. As a product leader focused on AI governance, I see this pattern across customer environments. Three architecture layers answer those three questions: identity, observability, and cost optimization. I’ll walk through each of the layers and provide a four-question diagnostic for the next production push. Why AI pilots stall An agent is not a faster chatbot. It chains dozens of steps, calls external tools, retains state across sessions, and triggers real-world actions. Most inherit the credentials of who…

Why the US is at risk of losing the AI talent and productivity war

The hardest thing to manage is change. I wrote that line more than a decade ago in an article about the “XPocalypse,” Microsoft’s end-of-life deadline for Windows XP. My argument then was that the real crisis was not obsolete software. It was the shortage of technically literate professionals capable of guiding organizations through inevitable transitions. More than a decade later, the names have changed. The lesson has not. Y2K defined the pattern. The risk was real, but disaster was avoided because skilled people did the work. When nothing happened at midnight (1999-2000), many assumed the threat had been exaggerated instead of recognizing that it had been managed. Windows XP became the next version of the same problem. The operating system stayed embedded in retail, banking, healthcare, energy, law enforcement and defense systems long after it should have been retired. The vulnerability was real, but the larger lesson was mostly missed: organizations let technical debt pile up until a deadline turns it into a crisis. Is agentic AI actually breaking the enterprise SaaS business model? Now we have the “ SaaSpocalypse .” Headlines warn that agentic AI is breaking the SaaS business model, lowering software valuations and making entire categories of enterprise tools obsolete. Investors are reacting; analysts are talking about “FOBO,” Fear of Becoming Obsolete, and organizations are again asking whether they are ready for what comes next. The disruption is real. AI agents can n…

Could we create a space for AI operators implementing OpenAI tools in real businesses?

Agre. I think that is the core gap, In real business implementation, the hard part is often not which model is best? but how to make the system survive contact with actual operations. From what I see, the recurring issues are usually: Data quality - messy inputs, incomplete records, unclear ownership Domain expertise - the AI system needs business model review from experienced business operator, not only technical setup. Workflow integration - the output has to fit into how people already work, Evaluation and QA - teams need a way to know when the system is right, wrong, or risky. Adoption - at the same time, people need to trust the system enough to actually use it. ROI and accountability - someone has to measure value the implementation saves time, improves quality, or creates revenue. That is why I think a dedicated space could be useful. It would not need to be broad “business discussion.” It could be focused on implementation patterns: what worked, what failed, what changed after deploying OpenAI tools inside real teams. Even a recurring thread like “Real-world AI implementation patterns” could be a good lightweight start before creating a full category.

Commission Opinion on the assessment of the Code of Practice on Transparency of AI-generated content

Commission Opinion on the assessment of the Code of Practice on Transparency of AI-generated content Anonymous (not verified) Thu, 07/09/2026 - 09:03 Commission and AI Board consider this voluntary code as an effective mean to facilitate compliance with the AI Act transparency obligations. On july 8, the Commission concluded that the Code of Practice on Transparency of AI-generated content adequately covers the obligations provided for in Articles 50(2), (4) and (5) AI Act and facilitates their effective implementation. The following day, the AI Board adopted its Adequacy Assessment code. All providers and deployers of generative AI systems are invited to sign the code. It is the EU-wide adequate instrument to ensure compliance with their respective obligations, regardless of their place of establishment, operation or competent market surveillance authority. Adherence to the code does not constitute conclusive evidence of compliance with these obligations. The code sets out commitments and measures to which providers of generative AI systems, including general-purpose AI systems, and deployers of AI systems generating deepfakes and certain text may adhere to demonstrate their compliance. The AI Office will consider facilitating formal updates to the code at least every two years, for instance based on the emergence of standards or relevant technological developments. You can download both the Commission Opinion and the AI Board Adequacy Assessment below. Downloads 1 - Commis…

What regulation will make the UK a world-leading financial center by 2035?

How AI Learns to Smell with Alex Wiltschko - #771

In this episode, Alex Wiltschko, founder and CEO of Osmo, joins the show to discuss his goal of giving computers a sense of smell and what it takes to build olfactory intelligence. We explore the science behind smell, from the hundreds of olfactory receptors in the human nose to the challenge of mapping the relationship between molecular structure and odor, ensuring safety regulations are met, and building foundation models for smell. Alex explains how graph neural networks and advanced embedding spaces allow AI to capture the multi-dimensional structure of scents, grouping them into perceptual neighborhoods, and creating a machine learning representation that predicts how molecules smell. We also cover how Osmo built the largest proprietary olfactory dataset from scratch to train a fleet of predictive models, and how olfactory intelligence could eventually power applications far beyond fragrance, including disease detection, emotion sensing, and consumer devices. 🗒️ Full show notes: https://twimlai.com/go/771.

Manage AI applications on Mac with Jamf’s AI Governance and Amazon Bedrock

In this post, we show how you can use Jamf’s AI Governance with Amazon Bedrock to configure, deploy, and validate managed settings for AI applications across a Mac fleet.

Wyoming tightens wastewater rules after Meta datacenter contractor flushed contaminated water

Meta said it was working with officials to be a ‘good neighbor’ and drinking water supplies were not affected Officials in Wyoming said a contractor for Mark Zuckerberg ’s tech company, Meta , flushed bacteria-contaminated water into public sewers during construction of a controversial new AI datacenter . The incident prompted water authorities in Cheyenne to implement strict safety regulations on how wastewater from such projects is disposed of, according to the Wyoming Tribune Eagle, which first reported the incident. Continue reading...

Exclusive: EU to revise crypto rules in 2027 amid Trump's push for digital assets

The European Union is set to revise its Markets in Crypto-Assets Regulation (MiCA) to cover non-EU issuers and broaden its scope, as US President Donald Trump's support for stablecoins prompts new regulatory questions.

Muse Image is technically impressive, but Meta's use of Instagram photos raises questions

Meta's Superintelligence Labs ships Muse Image, its first image generation model. Like OpenAI's GPT Image 2, it works as an agent, using tools like code execution and web search to refine its own results. A controversial @-mention feature lets users generate images of other people using their public Instagram photos without consent. The opt-out model is likely to collide with the GDPR and the EU AI Act. The article Muse Image is technically impressive, but Meta's use of Instagram photos raises questions appeared first on The Decoder .

Swiggy's IOCC transition may take longer, JM Financial retains 'Reduce' rating

Brokerage firm JM Financial has maintained its 'Reduce' rating on food and grocery delivery platform Swiggy with an unchanged 12-month target price of Rs 250, saying the company's transition to an Indian-Owned-and-Controlled Company (IOCC) is likely to take longer than expected despite its foreign shareholding falling below the 50% threshold. Under the brokerage's rating framework, a 'Reduce' recommendation indicates an expected return between negative 10% and positive 5%. According to the brokerage, Swiggy's aggregate foreign shareholding fell to 49.76% as of July 6, the first time it dropped below the 50% threshold. However, this alone does not qualify the company as an IOCC under FEMA regulations. JM Financial said Swiggy will also have to complete governance-related changes, including demonstrating that ownership and control rest with resident Indian citizens or entities. These changes may require board restructuring, amendments to voting rights and shareholder approvals. The brokerage believes IOCC eligibility is assessed based on ownership and control as of March 31 of the previous financial year. As a result, even if Swiggy completes the required governance changes over the coming months, it is unlikely to attain IOCC status before the end of March 2027. This would delay Instamart's shift to an inventory-led model until April 2027 at the earliest. JM Financial said an inventory-led model would allow Instamart to procure directly from brands, expand product assortment,…

Kenya lets families block relatives from gambling under proposed rules

The proposals, published in regulations gazetted on June 30, would also allow betting companies to suspend customers they believe are gambling beyond their financial means.