'Westminster is broken': Andy Burnham unveils sweeping plan to shift power out of London ahead of expected rise to UK leadership
UK's prime minister in waiting to lay out economic agenda
Model Releases
184 articles tagged with this keyword, sorted by most recent first.
Azul offers free JVM vulnerability risk assessment
Azul has introduced free vulnerability risk assessment for Java virtual machines (JVMs). Citing AI models such as Claude Mythos, which can automatically discover vulnerabilities and create exploits long before they’re disclosed, the company says it aims to address the blind spots that these autonomous AI-powered exploitation tools are able to find. Users can request the free JVM vulnerability risk assessment at Azul’s website . To counter AI-driven exploits, Azul’s assessment maps discovered JVM vulnerabilities directly to Stable Critical Patch Updates (CPUs), which are security-only patches that can be dropped into live production environments immediately without the risk of breaking software, Azul said. Announced June 17, Azul’s free JVM risk vulnerability assessment is available at no cost, direct from Azul and via select Azul partners, the company said. In a single engagement, organizations receive the following: Executive-ready security dashboard: A visual summary of the entire Java estate, broken down by risk tier, publisher, and Java version — designed for CxO-level consumption and board reporting. Risk-by-version breakdown: Identification of the specific Java versions driving the highest exposure, so remediation effort can be directed where it matters most rather than spread uniformly. Key Risk Indicators (KRIs) for AI-driven exploits: Visibility into which JVMs carry active Known Exploited Vulnerability (KEV) exposure — the highest-priority threat class recognized i…
Britain unveils its new Ukraine-modeled armed forces
The U.K. is learning from Ukraine's war against Russia to build its own armed forces to prepare for a similar conflict this decade.
Complete and Ongoing History of the OpenAI Developer Community
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Destroying the universe: How hard can it be?
In quantum field theory, the vacuum state refers to the lowest energy state in a system. Particles are excitations above this state and carry energy, hence the term "vacuum" to refer to the state with no particles. Nothing requires this state to be unique. There may be many different field configurations that are local energy minima, and hence stable against small perturbations. A local minimum that does not globally minimize energy is called a false vacuum. While locally it looks like a stable vacuum, it is unstable and will decay to the deeper, true vacuum. If the energy barrier between the false and true vacuum is high, however, then the decay rate is exponentially suppressed and the false vacuum may be very long-lived. Analogous behavior is common in other physical systems. Open a carbonated drink and the CO₂, more stable as a gas once the pressure is released, comes out as bubbles. But the bubbles take a moment to appear, and they form on the sides of the bottle rather than throughout the liquid. A bubble has to pay an energy cost to create its surface—the boundary between gas and liquid—and small bubbles have a larger surface-to-volume ratio. The energy gained by moving CO₂ into the gas grows with the bubble's volume, while the cost of its surface grows only with its area; so below a critical radius the cost wins and the bubble redissolves, and above it the gain wins and the bubble grows. Reaching that critical size takes a large enough chance fluctuation, which is why…
Highlights from Git 2.55
The open source Git project just released Git 2.55. Here is GitHub’s look at some of the most interesting features and changes introduced since last time. The post Highlights from Git 2.55 appeared first on The GitHub Blog .
Ornith-1.0: Self-Scaffolding LLMs for Agentic Coding
Ornith-1.0: Self-Scaffolding LLMs for Agentic Coding This is an interesting new open weights (MIT licensed) model, the first model release from DeepReinforce. [...] with variants including 9B Dense, 31B Dense, 35B MoE, and 397B MoE. Built on top of pretrained Gemma 4 and Qwen 3.5, it achieves state-of-the-art performance among open-source models of comparable size on coding benchmarks. As far as I can tell the licenses of those underlying models is compatible with being used in this way - Gemma 4 is Apache 2.0 licensed (and not bound by the janky additional Gemma Terms of Use that afflicted the previous Gemma models) and Qwen 3.5 is Apache 2.0 licensed as well. I've been running the model using LM Studio and the ornith-1.0-35b-Q4_K_M.gguf (20GB) GGUF, hooked up to Pi . Initial impressions are very good - it seems to be able to run the agent harness over many tool calls in a proficient way. Here's a terminal session where I asked it to "find the code that decodes the actor cookie" and then "find the code that opens the insert dialog when thebutton is clicked" against a Datasette checkout, which it handled with ease. I also had it draw this pelican , which came out at 103 tokens/second: It's a little bit mangled but the pelican is clearly a pelican. I couldn't find much information about DeepReinforce themselves. The earliest paper I could find from the was CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning from June 2025. Tags: ai , generative-ai , lo…
Lawmakers want to ban AI companies from selling your health data
A new proposal would ban the sale of Americans' health and location information to data brokers - including information people reveal to an AI chatbot like ChatGPT or Claude. In the coming weeks, Senator Elizabeth Warren (D-MA) and Representative Mary Gay Scanlon (D-PA) are planning to debut a new version of the Health and Location […]
Dbrand cancels Companion Cube because it didn’t actually ask Valve for permission
Dbrand announced Monday that it's refunding everyone who bought its Steam Machine Companion Cube, which it said it made "without a license from Valve." Dbrand announced the Portal-themed Steam Machine accessory in November and took preorders for it last Monday. But a few days later, the product had disappeared from the company's website and the […]
Andy Burnham soft-launches his premiership
Britain’s presumptive prime minister painted in broad strokes in a major Westminster speech — but behind the scenes aides are working frantically to put a detailed program together.
These camera-free smart glasses made me feel like Tony Stark
Xgimi, the Chinese company known for its all-in-one smart projectors, is expanding its portfolio with a new line of screen-equipped smart glasses that first debuted at CES 2026. Unlike AR glasses from companies like Meta and Snap, Xgimi’s new privacy-focused MemoMind One skip cameras for a lighter and more discreet design that helps hide their […]
Vegvisir raises funding to connect allied unmanned systems through a unified command platform
Vegvisir, an Estonian defence technology company building the command-and-control software layer for the multi-domain battlefield, today announced a venture investment from Iron Wolf Capital (IWC). V...
Rocket Lab is buying Iridium’s satellite network for $8 billion to take on SpaceX
Rocket Lab, the space company best known for its small satellite launcher Electron, has announced plans to acquire Iridium Communications for $8 billion. The deal will combine Rocket Lab's launch services and spacecraft manufacturing with Iridium's satellite-based communications network, putting it in a better position to challenge SpaceX. Iridium offers communications services to over 2.5 […]
I&M taps departing Absa chief Abdi Mohamed as Kenya CEO
Hours after Absa Bank Kenya announced the departure of chief executive Abdi Mohamed after a 32-year career at the lender, rival I&M Group named him as the next CEO of its Kenyan banking business.
The new ChatGPT 5.5 Instant broke multi-step App/MCP tool calls
Since the new ChatGPT 5.5 Instant model was released last week, we’ve seen issues with ChatGPT Instant not reliably completing App/MCP tool flows. Observed behavior: ChatGPT Instant either does not call any available tool, or calls only the first tool in the flow. After that single call, it stops and says it does not have access to the other tools, even though those tools are available. In our experiments, when ChatGPT Free usage falls back from Instant to ChatGPT Mini, the same tool flow starts working again. The flow also works as expected when using Thinking or Auto modes. This suggests the new Instant mode may not be invoking the follow-up tool calls required to complete a user request. Expected behavior: When a user asks ChatGPT to complete a task that requires tools, ChatGPT should continue calling the available tools as needed until the request is complete, rather than claiming it lacks access or stopping after the first tool call. Has anyone else observed this with ChatGPT 5.5 Instant and multi-step App/MCP tool flows? Happy to share reproduction details if helpful.
Government extends anti-crisis plan and launches 2027 budget process
An extraordinary Council of Ministers has extended economic measures against the global crisis, approved a new housing plan and updated macroeconomic forecasts for the state budget.
The Flipper Zero creators’ Busy Bar productivity display will go on sale next month
First announced over a year ago in April 2025, the Busy Bar will be available for purchase starting on July 14th when the device also starts shipping. Created by the same team behind the Flipper Zero wireless multitool, the Busy Bar is instead described as a "productivity multitool" that relies on a pixelated LED display […]
MCP connected but not invokable
@iamkishank Welcome to the forum! First, I do not use MCP myself, so please treat this as a helpful pointer rather than a confirmed diagnosis. I suspect that some of the MCP and authorization code may be shared across OpenAI tooling, including Codex. I mention Codex because it has a public GitHub repository with an active issues list . After having ChatGPT search the Codex issues, it identified this possibly related issue: github.com/openai/codex Custom STDIO MCP server enabled and tools/list works, but tools are not exposed in Codex Desktop thread opened 06:41PM - 05 Jun 26 UTC ilkerfatih44 bug windows-os mcp app ### What version of the Codex App are you using (From “About Codex” dialog)? Ve … rsion 26.602.40724 • Released 5 Haz 2026 ### What subscription do you have? Plus ### What platform is your computer? Microsoft Windows NT 10.0.26200.0 x64 ### What issue are you seeing? A custom STDIO MCP server is enabled in Codex Desktop and works correctly at the MCP protocol level, but its tools are not exposed to the active Codex Desktop thread. The MCP server appears enabled in Codex Desktop Settings → MCP servers. It also appears in `/mcp` as enabled. Local protocol probe succeeds: * initialize: OK * serverInfo: kuponcu-context-mcp v0.2.0 * tools/list returns 7 tools: * get_current_baseline * get_task_policy * get_forbidden_surfaces * get_validation_profile * search_project_sources * verify_hash_only * get_report_contract However, inside a Codex Desktop thread opened in the cor…
June 2026 (Theme: Through Time) — ChatGPT / API Image Generative Art Gallery, Prompt Tips, and Help
_j: how can one possibly offer an API product for others to use? I have an API product (for customers) that is just one feature of a desktop software suite with many features. EDIT : And just in case you are wondering:
Bharat Taxi to expand services to 500 cities over the next two years: Amit Shah
Bharat Taxi, India's first cooperative ride-hailing platform, launches in 14 Gujarat cities with zero driver commission, expanding to 7 major metros by July 31 and 500+ cities within two years. The post Bharat Taxi to expand services to 500 cities over the next two years: Amit Shah appeared first on MEDIANAMA .
Once, cyber-attacks required great skill. AI is changing that | Bruce Schneier
Modern AI systems are, in effect, a universal adviser to help people do harmful things. We’ll need to harness AI for defense, too Last week, national security agencies from the Five Eyes – that’s the rich, English-language-speaking countries club – jointly released a statement warning of the increasing cyber risks of AI models: in particular, their ability to autonomously hack into systems and networks. The statement was more measured than some of the breathless headlines about it, and the advice they gave is pretty much the standard advice everyone gives – albeit with newfound urgency. Internet risks are nothing new, and cyber-attacks – both large and small – have been a significant issue since long before the current crop of generative AI models. Bruce Schneier is a security technologist who teaches at the Harvard Kennedy School at Harvard University and University of Toronto’s Munk School Continue reading...
‘Queuing gangs’ exploited Hong Kong driving licence ticketing system: ombudsman
The Hong Kong government watchdog has slammed the Transport Department over systemic deficiencies that allowed “queuing gangs” to abuse public resources, along with digital shortcomings that left overseas and mainland Chinese applicants with a negative impression. An investigation by the Office of the Ombudsman, released on Monday, revealed that a group of seven agents exploited the ticketing system to submit 135 applications for the direct issue of Hong Kong full driving licences in a single...
Comcast is splitting in two
Comcast has announced plans to separate itself into two publicly traded companies, spinning off its NBCUniversal and Sky broadcasting arms. The shake up aims to protect the media conglomerate's profitable broadband and wireless brand, which will retain the "Comcast" company name, as its media and entertainment business - now collectively named "NBCUniversal" - faces increasing […]
ZTE released all-in-one FTTR-B solution for SME AI and connectivity at MWC Shanghai 2026
PARTNER CONTENT: • Supporting on-premise local AI large model operation, the solution cuts cloud costs and secures sensitive corporate data for SMEs
ZTE released AI FTTR solution, empowering home network security
PARTNER CONTENT: Showcased at MWC Shanghai 2026, the local AI-driven solution features camera-free whole-home sensing and advanced DDoS protection to unlock new operator revenue and redefine smart home security
Chinese AI model’s bug-hunting prowess narrows gap to US
A Chinese artificial-intelligence (AI) model whose launch has been hailed as another “DeepSeek moment” can go toe-to-toe with US rival Anthropic’s powerful Mythos model on cybersecurity tasks, researchers have said. Beijing-based start-up Zhipu AI’s GLM-5.2, released on June 13, beat Anthropic’s Claude Opus 4.8 model in benchmarking tests by cybersecurity company Semgrep, The Wall Street Journal reported. When Semgrep researchers gave it further instructions, GLM-5.2 matched that model and...
👨🏿🚀TechCabal Daily – Abay Bank lists in Ethiopia
In today's edition: Vodacom cleared to acquire Safaricom stake || Ethiopia's Abay Bank goes public || Optasia relaunches Nigeria operations || New draft rules in SA target offshore e-commerce operators
South Korea unveils US$576 billion megaprojects to dominate global AI, chip market
South Korea rolled out sweeping chip and AI megaprojects on Monday, as President Lee Jae Myung pledged to cement overwhelming industry leadership with investments worth more than US$576 billion over several years. The announcement marks Lee’s boldest push yet to align South Korea’s AI and chip ambitions with his pledge to narrow regional disparities and revive economies beyond the Seoul metropolitan area. Lee was joined by the leaders of Samsung Electronics and SK Hynix, the world’s two...
Turtlemint lists at 11.25% discount on market debut
Insurtech startup Turtlemint made a weak debut on the stock exchanges on Monday, with its shares listing at Rs 134.9, an 11.25% discount to its IPO issue price of Rs 152. The company had launched its Rs 883 crore initial public offering (IPO) with a price band of Rs 144-152 per share. The issue received a muted response from investors, resulting in an overall subscription of only 1.2 times. At the listing price, retail investors allotted one lot of 98 shares incurred an immediate notional loss of around Rs 1,676, as the value of their investment dropped from Rs 14,896 to about Rs 13,220. The IPO comprised a fresh issue of shares worth Rs 661 crore and an offer for sale (OFS) of 1.46 crore shares by founders and existing investors, aggregating Rs 222 crore at the upper price band of Rs 152. The issue is expected to raise approximately Rs 883 crore and value Turtlemint at Rs 4,513 crore (around $475 million). Founded in 2015 by Dhirendra Mahyavanshi and Anand Prabhudesai, Turtlemint operates a marketplace connecting advisors with customers, offering insurance products across motor, health, and life categories. It also provides access to other financial products such as mutual funds and loans, while equipping advisors with digital tools to expand their reach and grow their business. For the first nine months of FY26, Turtlemint reported a 80% year-on-year rise in operating revenue to Rs 741 crore, while its losses widened 25% to Rs 187 crore compared to the Rs 150 crore loss in…
Japan’s new AI police chief takes on US$2 billion scam epidemic
She has a young woman’s voice, a friendly face and a police chief’s badge. Her name is “AIko” and she may be Japan’s most unconventional weapon in a war against fraud that cost the country a record US$2 billion last year. AIko – a blend of the abbreviation for artificial intelligence and “ko”, the Japanese feminine name suffix – made her public debut in late May on Osaka Prefectural Police’s YouTube channel, warning viewers about the tactics used by scammers posing as police officers,...
Saudi tourism ministry launches AI vision
New platform TourismX brings AI tools to tourism operators
SpaceX launches 24 Starlink satellites
SpaceX launches 24 Starlink satellites
China’s Z.ai claims it can match Mythos on cybersecurity
China's Zhipu AI (Z.ai) released its open-weight GLM-5.2, and some researchers have claimed that it matches Mythos in certain bug-finding and cybersecurity scenarios. While GLM lags behind models from Anthropic and OpenAI in other, more general tasks, it seems that China has dramatically reduced the gap in the capabilities between its models and those of […]
Suno launches Spark incubator program to feed independent artists to its AI machine
Suno has ambitions to be more than just a toy to churn out AI slop, it also wants to be a streaming destination and to break new artists. Spark is their new incubator program for independent artists that provides grants, mentorship, and marketing support. To apply, artists need to be an unsigned singer, songwriter, or […]
Some ChatGPT App Store users lose access to exposed MCP tools after one tool call
I wonder if this is related to the new version of GPT-5.5 Instant released last week. Can anyone from OpenAI confirm whether Apps on Instant have a smaller effective context or tool-descriptor budget? I saw docs implying context size for Instant is now 16K tokens (and it used to be 27K tokens). Specifically, can large MCP tools/list payloads - descriptions, input/output schemas, annotations, metadata, etc. - cause exposed tools to become unavailable or stop being selected after an initial tool call?
Liquid AI Ships LFM2.5-230M with llama.cpp, MLX, vLLM, SGLang, and ONNX Support for On-Device Inference
Liquid AI released LFM2.5-230M, its smallest model yet. The 230M-parameter, open-weight model runs on-device at 213 tok/s on a Galaxy S25 Ultra and 42 on a Raspberry Pi 5. Built on the LFM2 architecture, it targets tool use and data extraction, beating larger models like Qwen3.5-0.8B and Gemma 3 1B on instruction following. The post Liquid AI Ships LFM2.5-230M with llama.cpp, MLX, vLLM, SGLang, and ONNX Support for On-Device Inference appeared first on MarkTechPost .
The AI bubble has further to run despite the looming crash
As tech firms make huge profits and investors fear losing out, both are doing their best to hold off the day of reckoning OpenAI staggers AI model release after White House request Every couple of decades, investors will ask themselves how long can the stock market keep climbing. Is it safe to buy more shares? Is their pension or equity portfolio vulnerable should financial markets, and especially those in the US, come crashing down to earth? When stock markets rise to historically high levels – and beyond the level when normal profits can sustain share prices – a few “experts” typically warn of an impending crash. Continue reading...
Asian AI startups launch Mythos-like models as Anthropic’s export ban drags on
New models are launching in Asia that promise Mythos-like capabilities without fear of an export ban. U.S. AI labs may never recover this enormous market.
Meta’s Astryx Brings a CLI and MCP Server to an Open-Source React Design System Agents Can Read
Meta released Astryx, an open-source React design system built on StyleX. It pairs a CSS-variable theme cascade with a CLI and MCP server, so both engineers and AI agents build using the same API. The project is in Beta, MIT-licensed, and grew inside Meta over eight years. The post Meta’s Astryx Brings a CLI and MCP Server to an Open-Source React Design System Agents Can Read appeared first on MarkTechPost .
Perplexity Launches Computer for Counsel: A Multi-Model Agentic Layer for Legal Workflows
Perplexity's Computer for Counsel extends Perplexity Computer to legal teams. It routes 20+ models across Midpage, MCP connectors, and Microsoft 365, with cited outputs lawyers can verify. The post Perplexity Launches Computer for Counsel: A Multi-Model Agentic Layer for Legal Workflows appeared first on MarkTechPost .
OpenAI unveils GPT-5.6 amid US AI regulatory drama
Less than 24 hours after news broke that OpenAI would stagger its next model release at the request of the Trump administration, that model, GPT-5.6, is here. On Friday, the company unveiled the limited preview of its new GPT 5.6 model suite: Sol, the flagship; Terra, a medium-tier model for "high-volume work"; and Luna, a […]
US tells OpenAI to restrict access to its most powerful AI model
US authorities are getting decidedly twitchy about frontier AI models. Just a couple of weeks after ordering Anthropic to prevent foreign companies from getting hold of its latest release, Mythos/Fable 5, it’s been putting the squeeze on another AI company.. Now, the Trump administration is asking OpenAI to hold back on the general release of GPT-5.6, according to a report from Bloomberg . OpenAI CEO Sam Altman reportedly told employees that the government is asking that the model be released only to a short list of trusted partners, initially 20, before being more widely disseminated. Altman reportedly told staffers that the administration was getting nervous about the capabilities of the latest AI tools. It didn’t go as far as forbidding access to foreign users but it’s clear that the White House is looking to act as the power of the new models becomes more apparent. The administration’s actions will undoubtedly cause some anxiety among AI companies, particularly in light of OpenAI’s and Anthropic’s upcoming IPOs. There will be concerns that new software developments could be postponed or even halted. However, it should also be noted that the administration was already displeased with Anthropic over its moral stance on defense issues, so the action against Mythos should be placed in context. Indeed, the government is trying to play down such fears. Bloomberg quoted a White House official as saying that the Trump administration continues to collaborate with frontier AI labs…
Paystack Launches AI Agent Checkout ‘Index’ in Nigeria, Letting Users Pay Through Claude, ChatGPT and OpenClaw
Paystack, the payments technology company owned by The Stack Group, has launched an experimental product that allows users in Nigeria to check out with supported Paystack merchants using AI agents. Paystack Index, developed with product support from TSG Labs — the group’s venture studio focused on building products using emerging technologies — builds on existing [...]
The Case for Model Forensics
If we had a misalignment warning shot, would we be able to tell? Suppose an AI company catches their model taking an egregious action, like deleting oversight code that monitors its actions. Should they sound the alarm? A key piece of evidence to determine what to do next – such as what mitigations to take – is to understand why the model took the action. If the model was just confused (e.g. it may have been trying to reduce latency), a simple mitigation like a regex classifier that blocks destructive actions until a user approves should suffice to prevent the behavior. But if this was intentional subversion, the model will circumvent the regex, and more robust, expensive mitigations are needed. This motivates the need for a follow-up investigation into the concerning behavior, a problem we term model forensics. We recently released a paper that aims to take a concrete step in developing the growing field of model forensics; this post lays out the general case. Motivation If we build AI systems that knowingly cause harm against the developer’s intent, it is critical we recognize this as soon as possible. One plausible way we may do this is through catching bad actions. However, a bad action on its own is not sufficient to conclude misalignment: the model may have done it for benign reasons. This is not just a theoretical concern – in the literature, it is largely the case that when concerning behavior has been dug into, benign explanations have been surfaced. To resolve this…
OpenAI staggers AI model release after Trump administration request
Sam Altman announces limited preview of GPT 5.6 in move that echoes launch of Anthropic’s Mythos Business live – latest updates OpenAI is staggering the release of its latest AI model after a request from the US government, in a move echoing the launch of Anthropic’s Mythos product. The company behind ChatGPT signalled its dissatisfaction with the move, saying that doing so keeps the best AI tools from “users, developers, enterprises, cyber defenders, and global partners who need them”. Continue reading...
‘Digital ID cards’: China moves to regulate AI agents with unified identity system
China is establishing an identity system for artificial intelligence agents, as part of new national standards released on Friday to regulate the next frontier of autonomous technology. The State Administration for Market Regulation (SAMR) unveiled the standard for “Artificial Intelligence Agent Interconnection”, aiming to establish a “closed-loop system” with a unified identity management framework for all AI agents, according to a report from state broadcaster China Central Television...
Uber India & South Asia President Prabhjeet Singh steps down, likely to join OpenAI as India MD
Uber India and South Asia President Prabhjeet Singh has stepped down after spending nearly 11 years with the ride hailing company. Confirming the development, an Uber spokesperson said, "India is one of Uber's most important markets globally, an important driver of innovation and long term growth. The strength of our business today reflects the incredible team and foundation built over the years. We thank Prabhjeet for his leadership and lasting contributions in his decade long journey with Uber. We remain deeply committed to our next phase of growth in India." Media reports suggest that Singh is set to join OpenAI as India MD. Singh joined Uber in August 2015 after a stint at McKinsey & Company, where he was an Associate Partner. Over the years, he held multiple leadership roles before being appointed President of India and South Asia in July 2020. As President, Singh led Uber's mobility operations across India, Bangladesh and Sri Lanka. Under his leadership, the company diversified beyond four wheeler ride hailing by expanding offerings such as Auto, Moto and Shuttle, while strengthening collaborations with public transport authorities and digital public infrastructure initiatives. Singh's departure comes days after Uber CEO Dara Khosrowshahi visited India and announced the company's first data centre in the country in partnership with Adani Group, signalling a deeper investment in its technology and infrastructure footprint. In February, Uber also infused nearly Rs 3,000…
White House limits OpenAI model release
The move to restrict access represents Washington’s latest AI intervention.
Why Shadowfax’s stock nearly doubles since listing despite weak debut
Logistics unicorn Shadowfax has emerged as one of the strongest post-listing performers among new-age tech companies in recent months, with its share price nearly doubling from its listing levels despite a lacklustre market debut. The Bengaluru-based logistics firm, which got listed earlier this year, debuted at a discount of around 9% to its IPO issue price. However, investor sentiment has turned sharply positive over the last two months, pushing the stock to around Rs 223 and taking its market capitalization to approximately Rs 13,037 crore. The rally appears to be steered by a combination of factors: strong financial performance, rapid market share gains, expansion into new growth segments, and growing investor belief that the company may have been conservatively valued during its IPO. Strongest quarter since listing Shadowfax delivered a record performance in the March quarter, reporting a 74% year-on-year increase in operating revenue to Rs 1,237 crore in Q4 FY26. Profitability also improved sharply, with profit after tax reaching Rs 56 crore compared to a loss of Rs 10 crore in the year-ago quarter. Adjusted EBITDA surged to Rs 58 crore with margins expanding to 4.7%. For the full fiscal year, revenue grew 69% to Rs 4,202 crore while net profit jumped to Rs 112 crore from Rs 6 crore in FY25, reinforcing investor confidence in the company's ability to scale profitably. The company also delivered 22.6 crore orders during the quarter, up 101% year-on-year, while express s…
China’s unicorns rise to 381 as ByteDance ranks in top 3 globally: Hurun index
China is breeding a new generation of unicorns – start-ups currently valued at US$1 billion or more – at an accelerating pace, cementing its place alongside the United States in a major global index. The world’s second-largest economy saw 381 Chinese unicorns on the 2026 Hurun Global Unicorn Index, an increase of 38 from last year. The annual list, released on Tuesday, ranks the world’s most valuable start-ups. China now mints a new unicorn every five days on average, double last year’s pace of...
Meet container: Apple’s Open-Source Swift Tool for Running Linux Containers as Lightweight VMs on Apple Silicon
Apple released container 1.0, an open-source Swift tool running Linux containers as lightweight virtual machines on Apple silicon. The post Meet container: Apple’s Open-Source Swift Tool for Running Linux Containers as Lightweight VMs on Apple Silicon appeared first on MarkTechPost .
Backed by Lakestar, Seedcamp and EWOR, SE3 unveils spatial AI platform for autonomous systems
Spatial AI company SE3 Labs today emerges from stealth. SE3 builds foundational spatial intelligence technology for the next generation of autonomous systems. As autonomous systems operate in increas...
China keeps an eye on AI smart glasses as privacy concerns come into focus
China has issued the first industry code of conduct for smart glasses powered by artificial intelligence, following public outrage over videos taken by users covertly filming strangers with the increasingly popular devices. The voluntary code calls on smart eyewear manufacturers to adopt a “minimum data collection” approach, provide clear indicators when cameras or microphones are active, and obtain explicit user consent before recording. The guidelines were released on Thursday by the China...
China’s Zhipu AI sparks new ‘DeepSeek moment’ with cost-effective coding model
Nearly a year and a half after China’s DeepSeek shook Silicon Valley with its powerful yet affordable artificial intelligence model, Beijing-based Zhipu AI has delivered another jolt to the US tech industry. American entrepreneurs and researchers are praising the coding performance and cost-effectiveness of Zhipu’s new flagship model, GLM-5.2. Released earlier this month, the model’s release is being hailed by some as a new “DeepSeek moment”, with users calling it the first-ever open-weight...
HKEX pushes deeper into index business as AI reshapes Hong Kong market
Hong Kong Exchanges and Clearing (HKEX) is expanding into the index business with plans to launch more proprietary benchmarks and related investment products, as traditional market gauges have lagged regional peers during the artificial intelligence-driven technology rally. The operator of Hong Kong’s stock exchange will debut the first exchange-traded fund (ETF) tracking its HKEX Tech 100 Index on Friday. The index, launched on December 9, tracks the 100 largest technology companies listed in...
Smartworks to acquire Singapore-based coworking firm Workstudio Spaces
Smartworks Coworking Spaces has announced the acquisition of Singapore based flexible workspace provider Workstudio Spaces through its wholly owned subsidiary, Smartworks Space Pte. Ltd. The transaction is expected to close in July. Workstudio operates around 26,000 square feet of managed workspace in Singapore. Following the acquisition, Smartworks' footprint in the city state is expected to increase to about 76,000 square feet across four centres, with seating capacity of more than 1,500. According to the company, the acquisition will be funded through resources available with its Singapore subsidiary. Smartworks founder and managing director Neetish Sarda said Singapore remains a strategic market for the company. He added that the acquisition will expand its presence in a high demand micro market and broaden its enterprise customer base. As of March 31, 2026, Smartworks managed around 16.1 million square feet of workspace across 66 centres in 15 cities in India and Singapore. The company primarily serves enterprise clients, including multinational corporations, global capability centres, and large Indian businesses. Smartworks' revenue from operations rose 45% year on year to Rs 520 crore in Q4 FY26 from Rs 358 crore in the same quarter last year. The company reported a profit of Rs 16.6 crore in Q4 FY26 against a loss of Rs 8.3 crore in Q4 FY25, as revenue growth outpaced the increase in expenses.
ARX Robotics and Roboneers form ARX Industries to scale unmanned ground vehicle production
German company ARX Robotics and Ukraine's Roboneers today announced the formation of ARX Industries, a joint venture to industrialise the mass production of unmanned ground vehicles. The new entity wi...
Pocket FM’s AVP Content Ankit Singh exits amid leadership changes
Ankit Singh, Assistant Vice President of Content at Pocket FM, has announced his departure from the company after a two year stint. In a LinkedIn post, Singh said he moved from working on retention, revenue and analytics to leading Pocket FM’s global content marketing function. He said his team managed content marketing across international markets and adopted generative AI for content production, brand campaigns, the Discover platform launch and other initiatives. "In the next chapter, I'm working on something of my own with a close friend for people in the middle of a job search," said Singh. His exit came on the same day the shutdown of Pocket TV, Pocket FM's microdrama vertical, came to light. Responding to Entrackr's queries, the company said Pocket TV had been launched as a beta experiment and was concluded around eight months ago. It also reiterated its focus on its core audio business and global expansion ahead of a potential IPO. Singh's departure also comes amid a series of senior leadership exits at Pocket FM in recent months. Last month, Chief Financial Officer Anurag Sharma stepped down after nearly three years with the company to pursue entrepreneurial opportunities. During the same month, Senior Vice President Mayank Sancheti also stepped down from his role. Pocket FM has also begun discussions to shift its holding company back to India through a reverse flip as it eyes a public listing in the country. Update at 6:10 PM, June 26 : The story has been updated to…
Salesforce unveils AI Help Agent with pay-per-resolution pricing
Salesforce today announced Agentforce Help Agent, a new pre-packaged service agent that organizations can connect to their knowledge base to provide support to customers and employees across chat, portals, and other digital channels using text or voice. The new agent is also the first offering from Salesforce to feature a new pay-per-resolution model in which organizations only pay when the agent autonomously resolves an issue from start to finish. “It’s a packaged, opinionated solution targeted at the customer service team, built on the Agentforce platform,” said Kishnan Chetan, EVP and GM of Agentforce Service at Salesforce. “Customers pay when their customers’ questions are resolved, i.e., it doesn’t get escalated to human or the customer doesn’t abandon it.” Salesforce built the new service agent on experience from millions of customer service interactions. Chetan noted that tens of thousands of Salesforce customers use Agentforce across sales, marketing, and commerce, but the majority start with service. Salesforce itself has followed that trajectory . Its Help.Salesforce.com service portal has handled 4.3 million customer inquiries since release and has resolved 70% of them. Emphasis on usability and trust Chetan said the team has focused on making the Help Agent easy to deploy, even by business users. Users can enable voice, web, portal, and messaging channels from a single screen, allowing the agent to answer customer questions and manage cases. Users can add additio…
Salesforce launches Help Agent to simplify AI customer service deployment
Salesforce Inc. is launching a new prepackaged artificial intelligence agent for customer service, enabling organizations to quickly build and deploy AI agents. Today Salesforce announced Help Agent, a prebuilt service agent set atop the Agentforce platform. It can be connected to company knowledge, actions and communication channels in minutes – including web, text and voice. […] The post Salesforce launches Help Agent to simplify AI customer service deployment appeared first on SiliconANGLE .
Exclusive: LucidLink launches MCP server to give AI agents shared access to distributed files
LucidLink Corp., the maker of a cloud network-attached storage system based on object storage technology, today extended its distributed file system technology into agentic artificial intelligence with the public beta release of a Model Context Protocol server that lets AI agents access shared files across clouds, on-premises systems and edge environments. The company said its […] The post Exclusive: LucidLink launches MCP server to give AI agents shared access to distributed files appeared first on SiliconANGLE .
New Linux Foundation project aims to bring DNS-style trust to AI agents
As enterprises deploy increasing numbers of AI agents across applications and organizations, the Linux Foundation on Wednesday announced plans to launch a new Agent Name Service framework designed to establish identity, ownership, and trust for these systems. The ANS framework , which is expected to allow systems and users to verify who an agent represents, what permissions it has, and whether its code and operational history remain authentic and unchanged, will be based on the existing Domain Name System (DNS) , the Foundation said in a statement. Just like DNS translates human-readable website names into internet addresses, ANS aims to create a standardized naming and discovery layer for AI agents, with the ability for enterprises to publish agent identities through domains they already control, enabling other agents and systems to verify who an agent represents and discover information about its capabilities and ownership before interacting with it, it added. This, the Foundation further added, creates a federated mechanism for agent discovery and verification without any reliance on any proprietary registry or centralized control. Growing demand for an agent identity framework ANS solves an emerging problem for enterprises, especially in scaling AI deployments, said Charlie Dai , principal analyst at Forrester, too. “The agent identity problem is already emerging in early production deployments, particularly where multiple agents interact across tools, APIs, and organiza…
Amazon, Flipkart expansion plans trigger dark store race in quick commerce
E-commerce giants Amazon and Flipkart are accelerating their quick commerce ambitions through large scale investments in micro fulfillment centres amid intensifying competition with Blinkit, Zepto, Swiggy Instamart, BigBasket and JioMart. On Wednesday, Flipkart Minutes announced that it had crossed 1,000 micro fulfilment centres (dark stores) across more than 130 cities and 8,000 pincodes, less than two years after its launch in August 2024. Sources indicate that the company is on track to surpass 1,500 micro fulfilment centres within the next few months. The Walmart-owned company also claimed a 5X increase in order volumes over the past year, led by rapid expansion across tier II and tier III markets. Meanwhile, Amazon unveiled plans to expand Amazon Now, its quick commerce service, to more than 300 cities across India. The e-commerce giant plans to support the rollout through a network of over 1,000 micro fulfilment centres and more than 100 urban fulfillment centers . Currently, it operates more than 500 centres. The expansion plan was unveiled during CEO Andy Jassy's visit to India, where he met government officials, industry leaders and company employees. The firm had earlier announced a $300 million investment to strengthen its infrastructure and operations, with a portion of the capital allocated to expand the footprint of its quick commerce vertical. The latest developments show how India's largest e-commerce companies are increasing their focus on quick commerce, a…
Online gaming authority releases registration form; but applicants have nowhere to submit It
MeitY has released OGAI's registration form, but applicants have no clear way to submit it because the authority's portal is not live. The post Online gaming authority releases registration form; but applicants have nowhere to submit It appeared first on MEDIANAMA .
IBM has unveiled chip technology that could help extend Moore’s Law another decade
IBM has built a new prototype chip with around 100 billion transistors on an area the size of a fingernail, which is twice the density of the company’s previous state-of-the-art technology announced in 2021. The design could pave the way for faster and more energy efficient computers for years to come. For more than half…
French health insurance outfit Alan agrees €480M funding round
French health insurance company Alan says it has reached an agreement on a €480m funding round, valuing it at €5.5bn. The new Series G funding round follows just months after Alan announced a €100m ...
Amazon to invest $48 Bn in India by 2030 after CEO Andy Jassy meets PM Modi
Multinational technology company Amazon has announced plans to invest $48 billion in India between 2026 and 2030 following a meeting between CEO Andy Jassy and Prime Minister Narendra Modi. The investment includes an additional $13 billion to expand the company’s artificial intelligence and cloud infrastructure in India by 2030. The latest commitment comes about six months after Amazon announced plans to invest $35 billion in the country, highlighting its long term focus on India as a key market for digital infrastructure, cloud computing and AI. Amazon is also accelerating its quick commerce push through Amazon Now. The company plans to expand the service to 300 cities and build a network of 1,000 micro fulfilment centres. The expansion comes as competition in quick commerce intensifies, with players rapidly widening their offerings beyond groceries to categories such as electronics, beauty, fashion and household essentials through near instant delivery.
Wayout raises €2.42M to scale decentralised drinking water infrastructure platform
Wayout International, the Swedish developer of Distributed Drinking Water Infrastructure, today announced the successful closing of a €2.42 million (SEK 26.6 million) Series A extension. The round was...
Qualcomm shares jump 14% on Modular acquisition, guidance upgrade
Qualcomm Inc.’s stock jumped 14% in after-hours trading today after it shared a series of updates about its artificial intelligence roadmap. The company announced plans to acquire an inference software startup called Modular Inc. and previewed two upcoming AI chips. Additionally, Qualcomm significantly raised its fiscal 2029 guidance. The chipmaker now expects its non-handset revenue […] The post Qualcomm shares jump 14% on Modular acquisition, guidance upgrade appeared first on SiliconANGLE .
OpenAI, Broadcom debut custom Jalapeño chip for AI inference
OpenAI Group PBC today revealed a custom chip called Jalapeño that it will use to power its large language models. The processor is the fruit of a collaboration with Broadcom Inc., which is no stranger to custom silicon design. The company helped Google LLC develop its TPU line of artificial intelligence accelerators. In April, the […] The post OpenAI, Broadcom debut custom Jalapeño chip for AI inference appeared first on SiliconANGLE .
‘We should be worried’: report sheds light on ICE’s booming arsenal of hi-tech surveillance tools
Spending on government contracts with tech firms that use AI-powered tools to track immigrants has soared to record levels under Trump 2.0, report says A new report sheds light on the unprecedented growth of the US government’s immigration surveillance arsenal, revealing fresh details about how spending on technology and AI tools to find and track migrants has soared to record levels during Donald Trump’s second term. The report, released this week, analyzed US Immigration and Customs Enforcement (ICE) and Customs and Border Protection (CBP) contracts with 11 companies the authors said provide surveillance tech. They found the money awarded to these firms doubled from 2024 to 2025, to just over $310m – and in 2026, that number soared to a record $513m. Continue reading...
HelloTwin launches ‘Digital Authority’ to bring governed AI agents to the enterprise
HelloTwin.ai GmbH today announced what it calls an accountable artificial intelligence AI twin that holds business intelligence and goals in a single source of truth. HelloTwin said it built its data model on a patent-pending compiler designed to pull answers from business context rather than generate them. This means that the agentic identity for the […] The post HelloTwin launches ‘Digital Authority’ to bring governed AI agents to the enterprise appeared first on SiliconANGLE .
Mirae Asset trims Shadowfax stake by 0.97% for Rs 120 Cr
Mirae Asset Late Stage Opportunities Fund sold a 0.97% stake in logistics unicorn Shadowfax for nearly Rs 120 crore through a bulk deal on Wednesday. BSE bulk deal data shows that Mirae Asset Late Stage Opportunities Fund sold 56.5 lakh shares of Shadowfax at Rs 212 apiece, taking the deal value to Rs 119.8 crore. As of March 2026, Mirae Asset held a cumulative 6.73% stake in Shadowfax through multiple funds. The latest transaction represents around 0.97% of the company’s equity, reducing the asset manager’s overall holding in the logistics and quick-commerce delivery platform. Founded in 2015 by Abhishek Bansal, Vaibhav Khandelwal, Gaurav Jaithliya and Praharsh Chandra, Shadowfax operates in the last-mile and hyperlocal logistics space, serving ecommerce marketplaces, D2C brands and quick commerce players. It competes with players such as Delhivery, XpressBees, Ecom Express and Ekart, in a segment marked by intense competition. For Q4 FY26, Shadowfax reported a 74% year-on-year increase in operating revenue to Rs 1,237 crore from Rs 712 crore in the corresponding quarter last year. The company also turned profitable, posting a net profit of Rs 56 crore against a loss of Rs 10 crore in Q4 FY25. Shadowfax had a muted debut on the stock exchanges earlier this year, with its shares listing at a 9% discount to the IPO price. However, the stock has nearly doubled over the past two months to Rs 230.50 apiece, pushing the company's market capitalization to Rs 13,484 crore.
World Cup coverage, brought to you by one of Brazil’s biggest influencers
Virginia Fonseca’s debut on TV Globo is the latest sign of a media shift that critics say is blurring the line between journalism and entertainment. The post World Cup coverage, brought to you by one of Brazil’s biggest influencers appeared first on LatAm Journalism Review by the Knight Center .
Modulate launches AI music detection as synthetic tracks flood streaming
Voice artificial intelligence company Modulate Inc. today launched a tool that flags AI-generated music straight from the audio. The product, an application programming interface called AI Music Detection, scores how likely a clip is to contain AI vocals or AI instrumentals and gives a verdict on the whole file. Streaming services, distributors and rights holders […] The post Modulate launches AI music detection as synthetic tracks flood streaming appeared first on SiliconANGLE .
Nemotron Office Hours: The Nemotron 3 Model Family | Nemotron Labs
NVIDIA has released the full Nemotron 3 open model family — Ultra, Super, Nano, and Nano Omni. This office hours session covers each model in the series, and any questions you have about Nemotron 3 in general — what it's built for, when to use it, and what's available in open weights, training datasets, and fine-tuning recipes. What we'll cover: - Nemotron 3 Ultra — 550B MoE frontier reasoning model for long-running autonomous agents: 5x faster inference, up to 30% lower cost, hybrid Mamba-Transformer architecture, and MOPD training for consistent performance across agent harnesses - Nemotron 3 Super — mid-range 120B model targeting enterprise applications that need strong reasoning for multi-agent applications - Nemotron 3 Nano — 30B MoE with 3B active parameters, built for high-volume execution, highly accurate sub-agent accomplishing targeted tasks - Nemotron 3 Nano Omni — multimodal (text, image, audio, video) model purpose-built for targeted specialized agentic tasks - Open weights, training datasets, and fine-tuning recipes — what's available across the family and how to customize for your domain Building with or evaluating the Nemotron 3 family? Bring your questions — whether you're choosing between models, fine-tuning for your domain, or deploying at scale, the team will answer them live.
AD Ports launches AI intelligence headquarters
Listen now | Middle East AI News Minute - 24-Jun-26
Anthropic debuts Claude Tag, a more capable AI teammate that lives within Slack
Anthropic PBC today unveiled a new version of its chatbot Claude that lives inside Slack, where it operates like a virtual employee. It’s called Claude Tag, and it’s designed to work across entire organizations, helping multiple employees complete tasks for related projects. It builds on existing agentic artificial intelligence tools offered by Anthropic, including Claude Code […] The post Anthropic debuts Claude Tag, a more capable AI teammate that lives within Slack appeared first on SiliconANGLE .
Upbound open-sources Modelplane to optimize inference clusters
Upbound Inc. today released Modelplane, a new open-source tool for managing artificial intelligence inference clusters. San Francisco-based Upbound is backed by $69 million from Alphabet Inc.’s GV fund, Intel Capital and others. It’s best known as the creator of Crossplane, an open-source infrastructure management engine. It’s an upgraded version of the Kubernetes control plane, a […] The post Upbound open-sources Modelplane to optimize inference clusters appeared first on SiliconANGLE .
Orderful nabs $35M to streamline supply chain data management
Orderful Inc., a startup using artificial intelligence to make supply chains more efficient, today announced that it has raised $35 million in funding. The Series C round was led by Koch Disruptive Technologies with participation from NewRoad Capital. It brings Orderful’s total outside funding to $85 million. Retailers regularly exchange documents with their suppliers and […] The post Orderful nabs $35M to streamline supply chain data management appeared first on SiliconANGLE .
NVIDIA Powers Over 400 of the World’s 500 Fastest Supercomputers
NVIDIA technologies power more than 400 of the world’s 500 fastest supercomputers — 81% of the TOP500 — according to the latest rankings released this week at the ISC High Performance conference in Hamburg, Germany.
Porting the Moebius 0.2B image inpainting model to run in the browser with Claude Code
This morning on Hacker News I saw Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance , describing a small but effective inpainting model - a model where you can mark regions of an image to remove and the model imagines what should fill the space. The released model required PyTorch and NVIDIA CUDA , but since it described itself as 0.2B I decided to try and get it running using WebGPU in a browser. TL;DR: I got it working, and you can try the demo at simonw.github.io/moebius-web/ . Read on for the details. The finished tool Here's a video demo of the finished tool: You can open any image in it (non-square images get letterboxed), highlight areas to remove, click the "Run inpaint" button and wait for the model to do its magic. A parallel agent side-project My main project for today was landing a major feature in Datasette: a UI for creating and altering tables, as a follow-up to the insert and edit rows feature I released last week. I was working on that in Codex Desktop (here's the PR ) and often found myself spending 5-10 minutes spinning my fingers waiting for it to complete a mid-sized refactor or add the finishing touches to a change to the UI. (An amusing thing about coding agents is that the harder a problem is the more time you have to get distracted while you wait for them to finish crunching!) So I decided to spin up Claude Code in a terminal window and see how far I could get at porting Moebius to the web. Some agentic research to kick…
GitHub Actions hardens checkout security to block ‘pwn request’ attacks
Stung by a surge in cyberattacks that have run amok in developer environments, GitHub has strengthened the security of actions/checkout to block ‘pwn request’ attacks that exploit insecure use of the pull_request_target workflow trigger to run an attacker’s code with the workflow’s full privileges. Announced on June 18, actions/checkout v7 now automatically blocks and fails workflows when used inside pull_request_target or workflow_run events when attempting to fetch unreviewed fork pull request code. From now on, the only away around these checks will be for developers to implement an opt out by adding an explicit allow-unsafe-pr-checkout to actions/checkout , GitHub said in its V7 changelog. The change signals the beginning of a new ‘secure by default’ era in which security will be defined by the GitHub system rather than being left to discretion of developers. As part of that effort, on July 16, the new defaults will be backported to all supported major versions. “Workflows pinned to a floating major tag (e.g., actions/checkout@v4) will automatically pick up the change. Workflows pinned to a specific SHA, minor, or patch version aren’t affected by the backport and will need to upgrade using Dependabot or through established upgrade processes,” GitHub explained. However, because pwn request attacks can happen in other ways, “further hardening of additional events may be explored in future releases,” the changelog added. Blind spot If there’s a criticism that can be levelle…
L’Oréal brings Maybelline virtual try-on to ChatGPT
L’Oréal has announced a collaboration with OpenAI that will bring Maybelline New York’s virtual makeup try-on feature into ChatGPT. The announcement was made at VivaTech 2026. The partnership covers consumer-facing shopping tools, product discovery, advertising pilots, research, and internal content production. The collaboration also covers L’Oréal’s internal use of AI in research, formulation, content production, […] The post L’Oréal brings Maybelline virtual try-on to ChatGPT appeared first on AI News .
sqlite-utils 4.0rc1 adds migrations and nested transactions
sqlite-utils is my combined Python library and CLI tool for working with SQLite databases. It provides an extensive set of higher-level operations on top of Python's default sqlite3 package , including support for complex table transformations , automatic table creation from JSON data and a whole lot more. I released sqlite-utils 4.0rc1 , the first release candidate for sqlite-utils v4. The major version bump indicates some (minor) backwards incompatible changes, so I'm interested in having people try this out before I commit to a stable release. New feature: migrations There are two significant new features in this RC compared to the previous 4.0 alphas. The first is support for database migrations . This isn't a completely new implementation - it's a slightly modified port of the sqlite-migrate package I released a few years ago. I think that package has proved itself over time, so I'm now ready to bundle it with sqlite-utils directly. Here's what a set of migrations in a migrations.py file looks like: from sqlite_utils import Database , Migrations migrations = Migrations ( "creatures" ) @ migrations () def create_table ( db ): db [ "creatures" ]. create ( { "id" : int , "name" : str , "species" : str }, pk = "id" , ) @ migrations () def add_weight ( db ): db [ "creatures" ]. add_column ( "weight" , float ) This defines a set of two migrations, one creating the creatures table and another adding a column to it. You can then run those migrations either using Python: db = Da…
e2e-assure introduces Cumulo, the U.K.’s only sovereign, AI-driven, zero-day SOC platform to secure IT and OT environments
Built around digital twin technology and customer-dedicated AI models, Cumulo answers the recent announcement by GCHQ for AI Cyber Shield, enabling early identification of threats and vulnerabilities before incidents occur Abingdon, U.K., 19 June, – SOC-as-a-service provider, e2e-assure, today announced the launch of the updated Cumulo, the U.K.’s only sovereign, AI-first, IT/OT connected SOC platform, designed to help organisations defend […] The post e2e-assure introduces Cumulo, the U.K.’s only sovereign, AI-driven, zero-day SOC platform to secure IT and OT environments appeared first on AI News .
HSBC expands AI banking partnership with Google Cloud
HSBC has entered a multi-year partnership with Google Cloud to develop and deploy artificial intelligence tools across its global operations. Announced at Google Cloud Summit London 2026, the agreement covers work in wealth management, financial crime risk management, and internal decision support. HSBC will work with Google Cloud and Google DeepMind engineering teams on AI […] The post HSBC expands AI banking partnership with Google Cloud appeared first on AI News .
GLM-5.2 is probably the most powerful text-only open weights LLM
Chinese AI lab Z.ai released GLM-5.2 to their coding plan subscribers on June 13th, and then yesterday (June 16th) released the full open weights under an MIT license. Similar in size to their previous GLM-5 and GLM-5.1 releases this is a 753B parameter, 1.51TB monster - with 40 active parameters (Mixture of Experts). GLM-5.2 is a text input only model - Z.ai have a separate vision family most recently represented by GLM-5V-Turbo , but that one isn't open weights. GLM-5.2 has a 1 million token context window, up from GLM-5.1's 200,000. The buzz around this model is strong. Artificial Analysis, who run one of the most widely respected independent benchmarks: GLM-5.2 is the new leading open weights model on the Artificial Analysis Intelligence Index . GLM-5.2 is the leading open weights model on the Intelligence Index v4.1. At 51, it leads MiniMax-M3 (44), DeepSeek V4 Pro (max, 44) and Kimi K2.6 (43) They did however find it to be quite token-hungry: GLM-5.2 uses more output tokens per task than other leading open weights models: the model uses 43k output tokens per Intelligence Index task, up from GLM-5.1 (26k) and above MiniMax-M3 (24k), Kimi K2.6 (35k) and DeepSeek V4 Pro (max, 37k) The model is also now ranked 2nd on the Code Arena WebDev leaderboard , behind only Claude Fable 5. That leaderboard measures "front-end web development tasks, including agentic coding workflows". I'm impressed to see it rank so highly given the lack of image input, which I had incorrectly assum…
MERICS China Security and Risk Tracker 01/2026
MERICS China Security and Risk Tracker 01/2026 Linda_Heyer Wed, 06/17/2026 - 12:30 picture alliance / ZUMAPRESS.com | Handout/White House Download (pdf - 1.21 MB) Tracker China Security and Risk Tracker Jun 18, 2026 18 min read MERICS China Security and Risk Tracker 01/2026 Trump's remarks after China Summit compromise Taiwan's security by Aurelio Insisa Taiwan’s security outlook deteriorated in the aftermath of the Xi-Trump summit, held on 14-15 May in Beijing, with the US announcement that a fresh USD 14 billion arms deal with the island is now “under review”. The US move also raises questions for European actors over the sustainability of their behind-the-scenes security engagement with Taiwan. Before the two presidents met for the US-China summit, Beijing reportedly asked the US side to make an explicit statement opposing “Taiwan independence” and endorsing Taiwan unification with the People’s Republic China (PRC). However, the US made no such remarks. Instead, US Secretary of State Marco Rubio stated on 15 May that “US policy on the issue of Taiwan is unchanged as of today.” There was no mention of Taiwan in the White House’s readout of the summit released on 17 May. Yet, US President Donald Trump himself managed to cast uncertainty in an interview immediately after the summit. Asked whether the “people of Taiwan” should “feel more or less secure”, President Trump replied “Neutral … I’m not looking to have somebody go independent. And, you know, we're supposed to travel…
Predicting LLM Safety Before Release by Simulating Deployment
Paper link Before releasing a new model, labs need to understand not just what it can do, but how it is likely to behave in real-world use, including where it might introduce new risks. This becomes even more important as capabilities increase. As part of our pre-deployment safety review, we leverage targeted evaluations, red-teaming, and other checks to understand model behavior. We’ve now started using a method for simulating model deployments before they happen, which adds a complementary signal: a deployment-like preview of how a candidate model may behave before it reaches users. Deployment Simulation is a method for simulating a future deployment before it happens. We do so by replaying previous conversations in a privacy-preserving manner with a new candidate model. By doing so, we can study how the new model responds in realistic contexts before release, including whether new undesired behaviors emerge and how often they may appear. In our GPT-5.4 study, these forecasts were informative. For categories whose production rates changed by at least 1.5x, deployment simulation predicted the direction of change 92% of the time, compared with 54% for a baseline built from challenging prompts. Simulated deployments also looked much closer to real production traffic on evaluation-awareness measures: traditional evals often visibly have stage lights; production prefixes mostly do not. The hardest case is agentic tool use, where realistic behavior depends on external state: fil…
Morocco launches Rally AI Future Lab to accelerate innovation
1,000 researchers and developers gather in Merzouga for inaugural five-day sprint
Nigeria unveils plans for world’s first 'National AI Trust' in London
Minister Tijani sets out governance vision to guide Nigeria’s AI transformation
Introducing the OpenAI Partner Network
OpenAI launches the Partner Network, investing $150M to help global partners accelerate enterprise AI adoption, deployment, and transformation.
Libya launches national AI strategy; MEA CIOs forecast fastest AI agent growth!
Weekly News Digest...
Libya launches National AI Strategy with 35 initiatives
Prime Minister Dbaiba adopts AI Ethics Charter at official ceremony
Vector Space Hackathon 2026
Wow. So many cool and creative submissions for this year’s hackathon; we really had a tough time picking only 3 winners! The submissions ranged from early mental health detection to crowd-reaction simulators, tactical football search, and infrastructure stress-testing. We’re excited to share the results with you. The Hackathon Qdrant’s 2026 “Think Outside the Bot” hackathon pushed the creative boundaries of vector search. Participants from around the world were challenged to create innovative uses of Qdrant, without the use of RAG or simple chatbots. Submissions were judged on the criteria of Innovation, Creativity, and Technical Depth. The hackathon ran for 5 weeks with winners announced at Vector Space Day 2026 with a total of $10k in prizes. Keep reading to learn about the winning submissions.
12 GW announced. 5 GW under construction. What happens next?
Subscribe • Previous Issues The Gap Between the Press Release and the Power Grid Back in February, I wrote about what I called the “Data Center Rebellion,” the growing local resistance to the physical infrastructure behind AI. Since then, I have been asking tech people around the Bay Area how closely they are following the backlash. The Continue reading "12 GW announced. 5 GW under construction. What happens next?" The post 12 GW announced. 5 GW under construction. What happens next? appeared first on Gradient Flow .
Nvidia’s AI Hardware Comes to Windows in RTX Spark PCs
At Computex 2026, an annual computer trade show held in Taipei, Taiwan, Nvidia made a long anticipated announcement—a version of the company’s Blackwell GB10 superchip for Windows PCs, called RTX Spark. Originally rumored to launch in 2025 , it was finally introduced at this year’s show. It came with full support from Microsoft, which announced two new devices powered by RTX Spark: the Surface Laptop Ultra and the Surface RTX Spark Dev Box . Asus, Dell, Lenovo, HP, and MSI also announced Windows PCs with RTX Spark. If this is triggering déjà vu, that’s for good reason. In June 2024, Qualcomm and Microsoft partnered to launch AI-focused Copilot+ PCs. Qualcomm’s Arm-based chips provided an alternative to x86-based chips from AMD and Intel used across dozens of budget and mid-range Windows laptops. It was met with mixed commercial success, however, and Intel remains the dominant supplier of chips for Windows laptops. But that doesn’t mean RTX Spark will follow the same path, as Nvidia’s involvement is an important part of the equation. “Nvidia just has more clout and more industry weight to push and make things happen that Qualcomm couldn’t do early on, and that even Microsoft struggled with,” says Ryan Shrout , president at Signal65 , a third-party testing firm. “They can get game developers on board and get software developers in the emerging AI space to pay attention.” What is RTX Spark? At its core, RTX Spark is an iteration of the hardware found in the DGX Spark mini-works…
Zimbabwe unveils AI strategy; Omani-Rwandan data centre build
Weekly News Digest ...
Zimbabwe unpacks national strategy, launches AI Grand Challenge
Young innovators challenged to build AI solutions for real national problems
The Classical Advances Needed to Make Quantum Computers Tick
Quantum computers promise to one day solve problems beyond the most powerful supercomputers imaginable. But it’s often underappreciated how much classical computing it takes just to operate these machines. As qubit counts rise, innovations in this supporting infrastructure will be essential if they’re to live up to their promise. To prepare for the scale of quantum computers the industry is working toward, many companies are also gearing up the classical hardware, and software, required to support them. In April, Nvidia announced new AI-based software to accelerate the classical tasks that enable quantum computers. Sydney-based quantum software company Q-CTRL has developed an automatic calibration algorithm for quantum computers, and is now leveraging Nvidia’s agent-based system. Other companies, including IBM Quantum , Cambridge, England–based Riverlane , which develops quantum-error correction, and Google Quantum AI , are developing similar tools. The Role of Classical in Quantum Digital computer chips are marvels of engineering, operating flawlessly out of the box and capable of trillions of operations without error. The quantum bits, or qubits, at the heart of a quantum computer, by contrast, are temperamental and unreliable, requiring regular calibration and complex error-correcting schemes to keep them on track. Calibration and error-correction are fundamentally classical, not quantum, problems, and they require dedicated classical hardware to solve. As quantum compute…
China’s AI competition strategy: Wide dispersion, cheap tokens
China’s AI competition strategy: Wide dispersion, cheap tokens Linda_Heyer Wed, 06/03/2026 - 10:01 picture alliance / Bildagentur-online | Tetra Images-Erik Isakson Comment Jun 03, 2026 2 min read China’s AI competition strategy: Wide dispersion, cheap tokens China’s flagship AI company DeepSeek released its V4 model in April, with a promotional price that puts it at a mere fraction of the cost of its North American competitors’ models. This reflects a wider trend in China’s AI sector: Instead of competing directly with companies like OpenAI, Anthropic and Google, who offer state of the art services at a premium, Chinese companies are pursuing a strategy of wide diffusion and cheap tokens to gain market share across the world. For Europe, this may pose the risk of forming a quick dependency on Chinese models as the basis for AI development, plus European talent being funneled to enhance Chinese systems. Many Chinese AI companies have followed the DeepSeek model. They are building models that are decent, but not cutting-edge, in performance and instead are focused on high compute efficiency that lowers costs for users. They have also made their models available via open-source platforms, meaning anyone can use, fine-tune and host them for free, as opposed to proprietary models like current Western leaders. Downloads of Chinese models on open-source platform Hugging Face have surpassed US models since late 2025. Of the top ten open-weight models by performance, the top seven a…
Mellum2 Goes Open Source: A Fast Model for AI Workflows
Trained from scratch and designed for practical deployment, Mellum2 is built for routing, Q&A, sub-agents, and private AI use in software engineering systems. Today, we’re open-sourcing Mellum2, a 12B model engineered to solve the hardest parts of production AI: latency, throughput, and cost. Built from scratch and released under the Apache 2.0 license, Mellum2 offers […]
Namibia to train civil servants in AI, starting at the top
NIPAM launches AI courses in move to modernise Namibia’s Civil Service
Koog 1.0 Is Out: Stable Core, Better Interop, and Multiplatform Observability
Last week at the KotlinConf 2026 keynote (watch the recording here), we announced Koog 1.0. Koog is JetBrains’ open-source framework for building AI agents in Kotlin and Java. It provides the core building blocks for agentic applications: tools, workflows, persistence, memory, observability, and integrations with existing JVM and Kotlin Multiplatform projects. We introduced Koog at […]
AI Weekly Issue #496: Anthropic's Pentagon model is now everyone's model
Anthropic released Mythos to the public, collapsing the wall between cleared-contractor frontier AI and developer-grade frontier AI in a single press release. DeepMind's Demis Hassabis moved his AGI timeline from "five to ten years" to "a real possibility by 2029" and tied it explicitly to AlphaProof Nexus solving nine open Erdős problems for the cost of a steak dinner. Critical zero-days hit Starlette (a million AI agents on the wire) and CrowdStrike led a coordinated takedown of the Glassworm developer botnet across four C2 channels. BNP Paribas formalized a sovereign-AI security partnership with Mistral while Beijing froze overseas travel for top AI engineers at Alibaba and DeepSeek. And the AI-displaces-workforce arithmetic got honest: Uber burned its full-year AI token budget by April, ClickUp restructured to 1,000 humans alongside 3,000 internal agents, and Sam Altman publicly reversed his white-collar-apocalypse prediction.
LWiAI Podcast #246 - Gemini 3.5 + Omni, Musk Loses, OpenAI vs Erdős
Google unveils AI model Gemini 3.5 and AI agent Gemini Spark, Omni turns images, audio, and text into video, Musk loses OpenAI court battle
AI Weekly Issue #494: SpaceX wants $80 billion. OpenAI wants a trillion.
For nine years the AI boom has been a private bet, priced by a small circle of venture funds and sovereign wealth in rounds most people could never touch. This week it started going public. SpaceX filed an $80 billion IPO prospectus on Wednesday, the largest in history, with a chatbot company and $6.4 billion in AI losses folded inside it. OpenAI is days from filing its own, aiming for a trillion-dollar debut by September. The public markets are about to answer the question private investors kept waving away: at what price?
LWiAI Podcast #245 - TML-Interaction, Claude For Legal, Sam Altman on Stand
OpenAI launches new voice intelligence features in its API, Thinking Machines drops a new, highly responsive model designed for humanlike interactions in real time, and more!
ClearML Joins the Dell AI Ecosystem Program and Launches AI Factory Blueprints, Making It Easier for Enterprises to Operationalize AI
ClearML is deepening its partnership with Dell Technologies by joining the Dell AI Ecosystem Program, announced at Dell Technologies World 2026. As part of this collaboration, ClearML is launching two pre-validated deployment blueprints — for Kubernetes and OpenShift — available in the Dell Automation Platform catalog, giving enterprises a fast path from bare metal to […]
AI Weekly Issue #493: Meta hired $145B in capex and fired 8,000 people
Six days after we called $725B a bet on what no one wanted, the receipts started landing. Meta committed $145B to AI infrastructure the same week it began firing 8,000 people. Standard Chartered described its own cuts as replacing "lower-value human capital." Pope Leo XIV announced he'd co-launch his first AI encyclical with Anthropic's Christopher Olah at the Vatican on May 25.
Kubernetes v1.36: Advancing Workload-Aware Scheduling
AI/ML and batch workloads introduce unique scheduling challenges that go beyond simple Pod-by-Pod scheduling. In Kubernetes v1.35, we introduced the first tranche of workload-aware scheduling improvements, featuring the foundational Workload API alongside basic gang scheduling support built on a Pod-based framework, and an opportunistic batching feature to efficiently process identical Pods. Kubernetes v1.36 introduces a significant architectural evolution by cleanly separating API concerns: the Workload API acts as a static template, while the new PodGroup API handles the runtime state. To support this, the kube-scheduler features a new PodGroup scheduling cycle that enables atomic workload processing and paves the way for future enhancements. This release also debuts the first iterations of topology-aware scheduling and workload-aware preemption to advance scheduling capabilities. Additionally, ResourceClaim support for workloads unlocks Dynamic Resource Allocation ( DRA ) for PodGroups. Finally, to demonstrate real-world readiness, v1.36 delivers the first phase of integration between the Job controller and the new API. Workload and PodGroup API updates The Workload API now serves as a static template, while the new PodGroup API describes the runtime object. Kubernetes v1.36 introduces the Workload and PodGroup APIs as part of the scheduling.k8s.io/v1alpha2 API group , completely replacing the previous v1alpha1 API version. In v1.35, Pod groups and their runtime states we…
Climate goals for officials + Textile sector + Alcohol industry
Climate goals for officials + Textile sector + Alcohol industry c.groth Tue, 05/12/2026 - 15:54 picture alliance / CFOTO Download (pdf - 576.54 KB) MERICS Briefs MERICS China Industries May 13, 2026 15 min read Climate goals for officials + Textile sector + Alcohol industry MERICS' Top 5 1. New State Council measures tie officials’ careers to climate goals At a glance: The State Council has released measures to evaluate progress on carbon reduction at the provincial level during the 15th Five-year Plan (2026-2030). A new accountability system ties the career prospects of top provincial party and state officials to carbon reduction. Key features include: The introduction of five control indicators, e.g., total carbon emissions, carbon emission intensity and total coal consumption, plus nine supporting indicators, including green transportation (see exhibit 1) Provinces that miss one control indicator or three supporting indicators in annual assessments must propose corrective actions within 30 days. Senior officials who fail to comply will face disciplinary interviews Annual assessment results will be part of senior provincial officials’ performance reviews Officials showing gross violations of duty will face disciplinary action from, for instance, the Central Commission for Discipline Inspection (the party-state’s main body for investigating corruption). MERICS comment: China’s performance evaluation system for public officials contains complex and sometimes contradictory in…
AI Is Changing What Customers Need From a Database. MongoDB 8.3 Is Built for It
Today, we announced at .local London that MongoDB 8.3 is built for the speed AI demands—and our customers can't afford to wait. The data layer has to move at AI speed The old contract between databases and the applications on top of them was simple: databases improve slowly, and architectures evolve around them. AI has changed that contract. The workloads our customers are shipping today—agents retrieving at sub-100ms, retry storms hitting in milliseconds, multi-region deployments that can't trade compliance for latency—were edge cases 18 months ago. Now they're the baseline. MongoDB 8.3, generally available today, is our fourth significant release in 19 months. These releases compound. Customers running on 8.0 have seen 36% faster reads and 59% higher throughput for updates. 8.3 adds another 35% to write throughput, 45% to reads, and 15% to ACID transactions over 8.0 — without changing a line of application code. Enterprises like Adobe, running the most demanding AI in production, have made the requirements clear: sub-100ms retrieval, sub-second context updates, zero downtime. That's what MongoDB Atlas is built for. That's the commitment: when the data platform keeps pace, our customers can focus on shipping. MongoDB.local London Core Blog 2026 - Image 1 media Run anywhere. Stay secure. Where you run your agents isn't just an infrastructure decision anymore. Now, it's a critical compliance and security decision as well. While most platforms force a trade-off between global…
Microsoft, Google and xAI will let the government test their AI models before launch
CSET’s Jessica Ji shared her expert perspective in an article published by CNN. The article examines new agreements between Microsoft, Google, and xAI to allow the U.S. government to evaluate unreleased AI models for cybersecurity and national security risks before launch. The post Microsoft, Google and xAI will let the government test their AI models before launch appeared first on Center for Security and Emerging Technology .
Moving past bots vs. humans
As AI assistants and privacy proxies challenge the capabilities of traditional bot detection, the Web needs new models for accountability. We believe that control should remain with the client, and that an open ecosystem of anonymous credentials is key to preserving user privacy while protecting origins from abuse.
Building the agentic cloud: everything we launched during Agents Week 2026
Agents Week 2026 is a wrap. Let’s take a look at everything we announced, from compute and security to the agent toolbox, platform tools, and the emerging agentic web. Everything we shipped for the agentic cloud.
My Workflow for Understanding LLM Architectures
A learning-oriented workflow for understanding new open-weight model releases
Pria Chetty joins Expert Advisory Group for the Partnership on AI’s ‘Shaping Economic Futures in the AI Era’ Initaitive
“Partnership on AI Launches Expert Advisory Group for New Initiative: Shaping Economic Futures in the AI Era Partnership on AI today launched its Labour and Economy Steering Committee, a new […] The post Pria Chetty joins Expert Advisory Group for the Partnership on AI’s ‘Shaping Economic Futures in the AI Era’ Initaitive appeared first on Research ICT Africa .
Argus launches natural gas price assessments in Brazilian market
Argus, a market intelligence and advisory firm in the energy and commodity markets, has launched Brazil’s first assessed daily price for the natural gas spot market. The move from the UK-headquartered company follows the opening of Brazil’s natural gas market to competition under a regulatory framework approved five years ago.
We spent 2 hours working in the future
Introduction METR aims to keep the public informed about the capabilities of and risks posed by AI — by some metrics the fastest-moving technology in history, and one that could speed up further as AI automates AI R&D. By late next year, the rate of model releases and the number of new evals required could be such that even keeping ourselves informed will be a challenge without effective AI assistance. We can’t afford to figure out AI-augmented workflows reactively, as they become necessary; we need to begin understanding them now. So we ran a 2-hour tabletop exercise: three METR researchers played themselves, with their current priorities , but pretending they had access to ~200-hour time horizon AIs – roughly what we expect 12–18 months from now. The goal was to learn what workflows emerge, what the bottlenecks are, and how much faster we’d actually be. The game Scenario The world METR has access to 200h time horizon AIs to automate our work; the rest of the world has access to real Feb 2026 technology (~12h TH AIs). We have versions of Codex/Claude Code + basic project management workflows that make sense for 200h TH AIs. We are otherwise living in Feb 2026, so we’re evaluating 2026 AIs, using the 2026 version of Inspect, communicating with people via email etc. AI capabilities AIs now have a ~200 human hour time horizon , but with a similar relative capabilities profile to early-2026 AIs. They’re staggeringly good at verifiable tasks and decent at messy tasks. AIs work t…
AI Opportunities in Africa: New National Strategy, Cloud Infrastructure, and Education Partnerships Accelerate the Continent’s AI Growth
Here is what happened in AI in Africa this week: 1. Ghana Launches National AI Strategy The government of Ghana has […]
LWiAI Podcast #236 - GPT 5.4, Gemini 3.1 Flash Lite, Supply Chain Risk
OpenAI launches GPT-5.4 with Pro and Thinking versions, Google releases Gemini 3.1 Flash Lite at 1/8th the cost of Pro, Where things stand with the Department of War Anthropic
“This is What it Means to be Pro-Human” Declares Broad Coalition of Conservative, Progressive, and Civil Society Groups in Statement of Shared Principles on AI
Amid a rising backlash to Silicon Valley overreach, a remarkably diverse group from across the political spectrum announced a set of AI principles to clearly define the goals of the emerging pro-human movement.
Innovating with MongoDB | Customer Successes, February 2026
Who says that winter is when things slow down? MongoDB has had a busy start to the year, with a steady stream of announcements and product features—all against the backdrop of an industry moving at warp speed. It's been a lot, and it's been a blast! For example, the energy at January’s MongoDB.local San Francisco—where we announced capabilities to help teams ship production AI faster—was infectious. MongoDB isn’t just starting a new chapter in AI; we’re rewriting the book in real time. The next generation of AI companies isn't just looking for a temporary place to store data; they’re looking to build on a generational modern data platform. Indeed, the most innovative founders are moving away from rigid, legacy systems and embracing a single, fluid foundation that can grow with them. At MongoDB.local SF, our message was clear: Choose your data platform strategically in order to ship faster. From our new Voyage 4 models to the general availability of our Intelligent Assistant, we are obsessed with anticipating what developers need next. This assistant is particularly impactful because it embeds MongoDB-specific expertise directly into Compass and MongoDB Atlas, allowing developers to troubleshoot performance without the "context-switching" that traditionally slows them down. In this issue, I’m thrilled to spotlight four startups who are building the future on the right foundation. You’ll see how Modelence and Thesys are using our flexible document model to eliminate 'operation…
Future of Life Institute Launches Multimillion Dollar Nationwide AI Regulation Campaign
The Protect What’s Human campaign will push for commonsense AI safety rules at federal and state level
LWiAI Podcast #233 - Moltbot, Genie 3, Qwen3-Max-Thinking
Google adds Gemini AI-powered ‘auto browse’ to Chrome, Users flock to open source Moltbot for always-on AI, Qwen3-Max-Thinking debuts, and more!
Integration Consulting appoints Carolina Flores as partner in Brazil office
Integration Consulting, a Brazil-headquartered management consultancy with offices worldwide, has announced the appointment of Carolina Flores as partner. She becomes the firm’s 13th partner. Now in her 15th year at Integration Consulting, Carolina Flores leads complex projects for major Brazilian companies across retail, consumer goods, healthcare and financial services.
Dutch sustainability consultancy Earthwise launches in Colombia
Earthwise, a boutique advisory firm from the Netherlands specialising in sustainability, has opened a new office in Colombia as part of its international expansion. Founded in 2024 by a team of “sustainability enthusiasts”, Earthwise advises mid-sized and large organisations on ESG and sustainability-related challenges.
MongoDB.local San Francisco 2026: Ship Production AI, Faster
Today at MongoDB.local San Francisco, we announced capabilities that collapse the distance between AI prototype and production. Building AI applications means solving real problems: keeping conversational context clean and queryable, retrieving the right information from thousands of past interactions, connecting AI agents to your data without custom plumbing. These aren't theoretical challenges, they're the friction points that slow teams down every day. The AI era demands more from your data platform. MongoDB gives you everything you need to build quickly. Voyage AI: the best gets better Embedding models can make or break AI search experiences. We're proud that voyage-3-large has been the world's top-performing embedding model on Hugging Face's RTEB benchmark since its inception. But we didn’t rest on our laurels. There’s a new model at the top of the charts. Today, we're pleased to announce that the Voyage 4 model family is now generally available. The best just got better. The voyage-4 series models operate in a shared embedding space, allowing for cross-model compatibility and unprecedented flexibility to optimize for accuracy, speed, or cost. This release also includes voyage-4-nano, our first open-weight model available on HuggingFace, perfect for local development. Additionally, we're launching the new voyage-multimodal-3.5 model, which has been specifically trained to support video content alongside text and images. For developers building multimodal AI applications…
That’s a Wrap: MongoDB’s 2025 in Review & 2026 Predictions
It’s nearly the end of the year—again! That means it’s time for an end-of-year blog post that expresses disbelief at the passage of time. Which, as the saying goes, flies when you’re having fun. And definitely when you’re as busy as MongoDB was in 2025. It was a big year for the company—and more importantly, for the tens of thousands of customers and millions of developers who rely on MongoDB’s modern data platform for their most mission-critical workloads. At MongoDB, everything we do starts with our obsession with customers and their needs, and if there’s a theme to MongoDB’s 2025, it was (and will continue to be) enabling customer innovation and helping them succeed in the AI era. So here are a few highlights of how MongoDB acted on behalf of customers in 2025. From the acquisition of Voyage AI to customer success across industries, a lot happened in 2025. Let’s go!* *Read to the end for 2026 thoughts. 2025: The (MongoDB) year that was Voyage AI, modernization, and search In February, MongoDB announced the acquisition of Voyage AI, a pioneer in embedding and reranking models, to enhance the accuracy of AI applications. Integrating Voyage AI's advanced retrieval technology with MongoDB’s modern, AI-ready data platform addresses a critical challenge: LLM model hallucinations caused by a lack of context. By improving retrieval accuracy for specialized domains like finance and law, the integration enables businesses to deploy AI for mission-critical use cases. To learn more,…
Last days to participate in the IAPA AI Product Lab call, supported by Google
“The Inter American Press Association (IAPA), in partnership with Google News Initiative (GNI), announced the opening of applications for the AI Product Lab, an innovative program designed to drive digital transformation and the strategic use of artificial intelligence in Latin American and Caribbean media outlets. Developed by the consulting firm Maktube Group, the Lab aims […] The post Last days to participate in the IAPA AI Product Lab call, supported by Google appeared first on LatAm Journalism Review by the Knight Center .
At the University of Tübingen, educational sciences and AI research are working together to improve learning with AI-based solutions
Hector Foundation Launches “Hector AI + Education Future Fund” with €6.2 Million
ELLlOT project launches to advance general-purpose AI under Horizon Europe
Tübingen AI Center is proud to be a partner in ELLlOT, a Horizon Europe-funded project aiming to develop next-generation Multimodal Generalist Foundation Models.
AAAI Launches AI-Powered Peer Review Assessment System
AAAI today announced a pilot program that strategically incorporates Large Language Models (LLMs) to enhance the academic paper review process for the AAAI-26 conference. The post AAAI Launches AI-Powered Peer Review Assessment System appeared first on AAAI .
DeepSeek-V3 New Paper is coming! Unveiling the Secrets of Low-Cost Large Model Training through Hardware-Aware Co-design
A newly released 14-page technical paper from the team behind DeepSeek-V3, with DeepSeek CEO Wenfeng Liang as a co-author, sheds light on the “Scaling Challenges and Reflections on Hardware for AI Architectures.” The post DeepSeek-V3 New Paper is coming! Unveiling the Secrets of Low-Cost Large Model Training through Hardware-Aware Co-design first appeared on Synced .
DeepSeek Unveils DeepSeek-Prover-V2: Advancing Neural Theorem Proving with Recursive Proof Search and a New Benchmark
DeepSeek AI releases DeepSeek-Prover-V2, an open-source LLM for Lean 4 theorem proving. It uses recursive proof search with DeepSeek-V3 for training data and reinforcement learning, achieving top results on MiniF2F. The post DeepSeek Unveils DeepSeek-Prover-V2: Advancing Neural Theorem Proving with Recursive Proof Search and a New Benchmark first appeared on Synced .
New Report on the National Security Risks from Weakened AI Safety Frameworks
Read paper on arxiv → The AI Now Institute has released a new report, Safety Co-Option and Compromised National Security: The Self-Fulfilling Prophecy of Weakened AI Risk Thresholds, sounding the alarm on how today’s AI safety efforts, led primarily by industry technologists, are weakening long-established safety protocols and jeopardizing US national security. This report examines […] The post New Report on the National Security Risks from Weakened AI Safety Frameworks appeared first on AI Now Institute .
Zhipu.AI’s Open-Source Power Play: Blazing-Fast GLM Models & Global Expansion Ahead of Potential IPO
Zhipu.AI open-sources faster GLM models (8x speedup), launches Z.ai, aiming for global expansion, potentially ahead of IPO. The post Zhipu.AI’s Open-Source Power Play: Blazing-Fast GLM Models & Global Expansion Ahead of Potential IPO first appeared on Synced .
DeepSeek Signals Next-Gen R2 Model, Unveils Novel Approach to Scaling Inference with SPCT
DeepSeek AI, a prominent player in the large language model arena, has recently published a research paper detailing a new technique aimed at enhancing the scalability of general reward models (GRMs) during the inference phase. The post DeepSeek Signals Next-Gen R2 Model, Unveils Novel Approach to Scaling Inference with SPCT first appeared on Synced .
AI Now Coauthors Report on Surveillance Prices and Wages
Today, AI Now—along with a group of experts and civil society organizations—released a report outlining how surveillance of prices and wages harms the public. Read it here: The post AI Now Coauthors Report on Surveillance Prices and Wages appeared first on AI Now Institute .
UNDP launches “timbuktoo” financing initiative for African startups
The United Nations Development Programme (UNDP) has launched the “timbuktoo” initiative together with African countries, which it said is positioned to be “the world’s largest financing facility”, bringing catalytic and commercial capital together to support Africa’s startup ecosystem. President Paul Kagame of Rwanda, President Nana Akufo-Addo of Ghana, African Continental Free Trade Area secretariat secretary [...]
10 startups selected for Africa Tech Summit Nairobi Investment Showcase
Africa Tech Summit Nairobi has announced the 10 African tech ventures that will showcase their solutions to an audience of industry experts, investors and fellow innovators on February 14-15. Africa Tech Summit Nairobi is a leading African tech event providing insight and networking with the African tech ecosystem, bringing together tech leaders, MNOs, banks, international [...]
Third episode of new Disrupt Podcast series shines light on Africa’s ed-tech space
Disrupt Africa has released the third – and last – episode of its three-part podcast series zeroing in on the state of Africa’s ed-tech space, looking at trends, opportunities and challenges within the vital sector. Disrupt Podcast has released a number of focused series in the last couple of years, including ones on venture capital, [...]
From Deep Learning Foundations to Stable Diffusion
We’ve released our new course with over 30 hours of video content.
The 37th AAAI Conference on Artificial Intelligence Aims to Build Bridges
Washington, DC, USA (January 24, 2023) – AAAI announced today the winners of its 2023 awards that will be presented at the 37th Annual Conference on Artificial Intelligence (AAAI-23). This event will be held in person at the Walter E. Washington Convention Center in Washington, DC from February 7-14, 2023. Several awards will be given, […] The post The 37th AAAI Conference on Artificial Intelligence Aims to Build Bridges appeared first on AAAI .
Understanding Deep Learning Algorithms that Leverage Unlabeled Data, Part 1: Self-training
Deep models require a lot of training examples, but labeled data is difficult to obtain. This motivates an important line of research on leveraging unlabeled data, which is often more readily available. For example, large quantities of unlabeled image data can be obtained by crawling the web, whereas labeled datasets such as ImageNet require expensive labeling procedures. In recent empirical developments, models trained with unlabeled data have begun to approach fully-supervised performance (e.g., Chen et al., 2020 , Sohn et al., 2020 ). This series of blog posts will discuss our theoretical work which seeks to analyze recent empirical methods which use unlabeled data. In this first post, we’ll analyze self-training , which is a very impactful algorithmic paradigm for semi-supervised learning and domain adaptation . In Part 2, we will use related theoretical ideas to analyze self-supervised contrastive learning algorithms, which have been very effective for unsupervised representation learning . Background: self-training We will first provide a basic overview of self-training algorithms, which are the main focus of this blog post. The core idea is to use some pre-existing classifier \(F_{pl}\) (referred to as the “pseudo-labeler”) to make predictions (referred to as “pseudo-labels”) on a large unlabeled dataset, and then retrain a new model with the pseudo-labels. For example, in semi-supervised learning, the pseudo-labeler is obtained from training on a small labeled datase…
BanditPAM: Almost Linear-Time k-medoids Clustering via Multi-Armed Bandits
TL;DR Want something better than \(k\)-means? Our state-of-the-art \(k\)-medoids algorithm from NeurIPS, BanditPAM, is now publicly available! \(\texttt{pip install banditpam}\) and you're good to go! Like the \(k\)-means problem, the \(k\)-medoids problem is a clustering problem in which our objective is to partition a dataset into disjoint subsets. In \(k\)-medoids, however, we require that the cluster centers must be actual datapoints, which permits greater interpretability of the cluster centers. \(k\)-medoids also works better with arbitrary distance metrics, so your clustering can be more robust to outliers if you're using metrics like \(L_1\). Despite these advantages, most people don't use \(k\)-medoids because prior algorithms were too slow. In our NeurIPS paper, BanditPAM, we sped up the best known algorithm from \(O(n^2)\) to \(O(n\text{log}n)\). We've released our implementation, which is pip-installable. It's written in C++ for speed and supports parallelization and intelligent caching, at no extra complexity to end users. Its interface also matches the \(\texttt{sklearn.cluster.KMeans}\) interface, so minimal changes are necessary to existing code. Useful Links: 3-minute video summary PyPI Github Repository Full Paper \(k\)-means vs. \(k\)-medoids If you're an ML practitioner, you're probably familiar with the \(k\)-means problem. In fact, you may know some of the common algorithms for the \(k\)-means problem. You're much less likely, however, familiar with the…
Comment on You’ll want Nexar’s newly released Live Map for your city by Labeling, transforming, and structuring training data sets for machine learning - Blockchain, Artificial Intelligence and Data Education Academy
[…] need for tools that can ease the transition from raw data to derived data (e.g., entities), insights, and even […]
CSAIL's Daskalakis wins ACM Grace Murray Hopper Award
CSAIL's Daskalakis wins ACM Grace Murray Hopper Award rachelg Wed, 05/08/2019 - 10:20 Article May 08 '19 Rachel Gordon Constantinos (“Costis”) Daskalakis, an MIT professor and CSAIL principal investigator, has won the 2018 ACM Grace Murray Hopper Award. Constantinos (“Costis”) Daskalakis, an MIT professor and CSAIL principal investigator, has won the 2018 ACM Grace Murray Hopper Award. Announced today, the prize is awarded yearly to a computer scientist on the basis of a single recent major technical or service contribution, made at or before age 35 at the time of the contribution. Daskalakis was honored for “ proving that the computational complexity of finding Nash equilibria is the same as that of finding Brouwer fixed points, a proof since extended to several other equilibrium notions.” “By challenging equilibrium theory, his work has triggered an ongoing reshaping of our understanding of strategic behavior, showing that computation must play an essential role in the foundations of game theory and economics.” His research, a fusion of computer science, economics and game theory, focuses in part on how strategic behavior complicates large-scale technological systems. To study these systems, researchers typically use equilibrium concepts, and very prominently the concept of Nash equilibrium, which occurs when every player does the best they can given other players’ choices, so no player can benefit from unilaterally changing their choice. However, Nash’s equilibrium existe…
Giving robots a better feel for object manipulation
Giving robots a better feel for object manipulation rachelg Mon, 04/29/2019 - 13:27 Video April 29 '19 Rob Matheson Model improves a robot’s ability to mold materials into shapes and interact with liquids and solid objects. A new learning system developed by MIT researchers improves robots’ abilities to mold materials into target shapes and make predictions about interacting with solid objects and liquids. The system, known as a learning-based particle simulator, could give industrial robots a more refined touch — and it may have fun applications in personal robotics, such as modelling clay shapes or rolling sticky rice for sushi. In robotic planning, physical simulators are models that capture how different materials respond to force. Robots are “trained” using the models, to predict the outcomes of their interactions with objects, such as pushing a solid box or poking deformable clay. But traditional learning-based simulators mainly focus on rigid objects and are unable to handle fluids or softer objects. Some more accurate physics-based simulators can handle diverse materials, but rely heavily on approximation techniques that introduce errors when robots interact with objects in the real world. In a paper being presented at the International Conference on Learning Representations in May, the researchers describe a new model that learns to capture how small portions of different materials — “particles” — interact when they’re poked and prodded. The model directly learns fr…
Comment on Impact Hub launches entrepreneur fellowship in Burundi, Ethiopia, Sierra Leone by Dejene Mulugeta
this is the aportunity for Africans entrepreneur!!
Comment on African-American Pop Star, Akon Launches Solar Academy in Mali by Wednesday News Roundup: The Business of MasterCard in Somalia | techcabal.com
[…] Akon Launches Solar Power Academy in Mali Akon and his partners through the Akon Lighting Africa initiative has announced they will open a Solar Academy in Bamako, Mali this year to teach solar engineering. […]