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The Verge AI 2026-11-14 12:00 UTC Score 55.0 AI-016-20261114-global-ai-ne-300cf280

Jensen Huang and the decline of the visionary showman founder CEO

On January 6th, 2025, Nvidia CEO Jensen Huang got his rockstar moment at last. He strode triumphantly onstage, hand raised in the air, to the claps and cheers of a 14,000-person arena absolutely packed with influencers and fans, their faces awash in blue glow, as he made his entrance in a black leather jacket that […]

AWS Machine Learning Blog 2026-11-13 22:02 UTC Score 67.0 AI-057-20261113-official-ai--def9b50a

Architecture patterns for fast session startup on Amazon Bedrock AgentCore runtime

Amazon Bedrock AgentCore runtime V2 snapshots your initialized environment and restores it for each new session, so session start no longer grows with image size. This post explains how V2 starts a session, how to measure session start time, and four patterns to keep work off the first request.

SiliconANGLE AI 2026-11-13 21:22 UTC Score 61.0 USR-0127-20261113-global-ai-ne-3157d50f

Mirendil raises $1B in funding to speed up AI model development

Mirendil Inc., a provider of software that speeds up artificial intelligence development, has raised $1 billion in early-stage funding. The startup stated on Thursday that Kleiner Perkins and Clearlake Capital jointly led the Series A investment. They were joined by more than a half-dozen others including Google LLC. Mirendil was launched last year by two […] The post Mirendil raises $1B in funding to speed up AI model development appeared first on SiliconANGLE .

CIO AI 2026-11-13 18:19 UTC Score 75.0 USR-0125-20261113-global-ai-ne-f6c942a4

Nvidia’s leadership crisis puts enterprise AI’s dependence on one company under scrutiny

The tech world has been rattled by the toppling of one of its most prominent leaders, and the widespread implications it could have on the AI industry itself. Nvidia, which provides the underlying AI infrastructure for seemingly every company on the planet, announced on Thursday that its president and CEO Jensen Huang has resigned, effective immediately. Earlier this week, news broke that Huang had had at least two extramarital affairs, including one with an alleged Chinese spy and one with a direct report. EVP and CFO Colette Kress has stepped in as interim CEO , and Nvidia’s board has begun searching for a permanent replacement. Nvidia’s graphics processing units (GPUs) have become the standard for graphics rendering, and in recent years companies building AI have also depended on them for training and running large language models (LLMs) and increasingly sophisticated AI agents. As such, the revelations about Huang, and his swift departure, have sparked a US national security crisis, and raised questions about over-reliance on one tech vendor and subsequent supply chain and compute constraints. A scandal involving an admitted extramarital affair with an alleged Chinese spy opens up a hornet’s nest of concerns around security that Nvidia won’t be in a position to answer for months, if ever, said technology analyst Carmi Levy . “More broadly, it throws into doubt the company’s leadership and security practices, and ignites questions around board-level governance and oversig…

Semafor Technology 2026-11-13 14:17 UTC Score 40.0 USR-0094-20261113-global-ai-ne-4c07931a

Ghana sets out $10B investment plan

As part of the push to shift the economy, Africa’s largest gold producer wants to phase out exports of unprocessed minerals by 2030.

iAfrica 2026-11-13 13:49 UTC Score 38.0 AI-151-20261113-regional-ai--afe63ca9

Kenya’s Financial Centre Plans $500m Fund, With Half for Tech and AI Startups

The Nairobi International Financial Centre (NIFC) plans to set up a Sh65 billion ($500 million) fund for Kenyan businesses, with half — about $250 million — earmarked for technology and AI startups. The rest would go to small and medium-sized businesses in other sectors. The fund would pool local and international venture capital, with NIFC [...]

NVIDIA Blog 2026-11-13 13:00 UTC Score 57.0 AI-055-20261113-official-ai--19847bef

How AI Is Helping Care Teams Get Patients the Right Care, Sooner

From pediatric research to smart hospitals, AI is helping care teams spend less time on routine tasks and more time with patients. Health systems and startups are putting it to work across healthcare, from matching patients to clinical trials to supporting radiologists, hospital teams and patients at home. Clinicians stay at the center, reviewing AI […]

LessWrong AI 2026-11-13 12:32 UTC Score 71.0 USR-0152-20261113-community-fo-2f7c3948

I'm leaving my PhD to pursue AI Safety work

Yesterday, I told my advisors that I would be dropping out of my PhD program at the University of Michigan's School of Information. I was nervous about how to break the news to them. There was already some tension in our weekly meetings: I often voiced my dissatisfaction with the pace of academia, my interests had been drifting away from theirs, and, most of all, we disagreed on the severity of the risks AI posed. When I walked into the room, they told me something I would have loved to hear months earlier: “We think it’s time to get you started on some research.” All I could say was, “I think it’s a little too late for that.” For months, I had been proposing projects that bridged my interests with theirs, such as running studies that treated humans and LLMs as equal subjects, but they were usually turned down for not being “exciting enough”. My advisors wanted me to start with small, unpublished surveys that would ‘help me ask the right questions’ and “develop research taste” in Human-Computer Interaction before I could propose a full study. I understood why they wanted me to gain experience first, but I felt held back after every meeting, and grew restless alongside my ambition and sense of urgency. “I’ve been doing machine learning research independently,” I told them. “I discovered some really interesting stuff about how to interpret neurons inside of LLMs. It’s garnered some attention, and some people are even open to funding my work. I’ll be withdrawing and moving to S…

LessWrong AI 2026-11-13 12:13 UTC Score 60.0 USR-0152-20261113-community-fo-4bcfe7e8

We want to run AI safety events for you!

TL;DR: We’re four undergraduate organizers who want to build an Events-as-a-Service (EaaS) organization to execute events for operations-constrained AI safety orgs. You cover an event’s operational costs and programming, and we'll plan and run it. Scope and timeline are negotiable. If you have an event you’d want us to help run in the next ~3 months, please fill out the form linked here ! Background Ops capacity is limited in the AI safety community, and events eat up a lot of it. An EaaS organization could rapidly supply ops capacity to organizations to capitalize on short convening windows, preserve capacity, and test low-hanging event ideas that otherwise would be missed. Work with us! We are interested in executing events-shaped projects with partner organizations in the next months for free while we build a track record. Some example events that we could help run include retreats, convenings, workshops, hackathons, socials and happy hours. We could handle lodging, travel, comms, venue, catering, and more, but the precise specifications are up for negotiation. Our team We’re four undergraduate organizers with both event-ops experience and AI safety context. Between us, we have: Run a 50 person, weekend EA retreat (Fall ‘26 Northeast EA Retreat) Founded the UCSD and Vanderbilt AI safety groups, running multiple fellowship cohorts Help run a 126-member EA Intro Fellowship (Yale) Help run a startup accelerator, directly assisting 2 teams getting into YC We’d be happy to pro…

LessWrong AI 2026-11-13 11:16 UTC Score 62.0 USR-0152-20261113-community-fo-6301af61

Lightcone Commons' funders (and SFF and CG) are mostly NOT funding things that will prevent our extinction

Lightcone Commons have completed their first granting round . And the things their granters and recommenders have funded mostly do not meet the current moment (the same is true for SFF’s most recent round , and Coefficient Giving ). Let’s hope that their upcoming future rounds do better, or other funders step in. All of our lives are on the line. (Apologies if this is blunt, but this is important..) I get that money allocators (grantmakers and VCs alike) typically invest in people over ideas. But this is taking that to the extreme. Yudkowsky and Soares’ funding recommendations don’t fit with their book (which I am a big fan of)! They are funding obscure content creators, researchers and think tanks that are mostly just people in their Bay Area social circles, it seems. Why aren’t they funding orgs directly aimed at getting international agreement to ban RSI and ASI, as per what they say is necessary (and is, in fact, necessary), in chapter 14 of IABIED ? I heard that orgs such as Control AI were in their funding orders, but why so low as to not have any real chance of being seriously funded ? [1] Soares talks about organisations he’d recommend funding here , but is seemingly unaware that they already exist [2] . The other evaluators’ choices don’t seem any better (but at least some of them have excuses ). $813k for Mox , $300k for Vibecamp , and only $75k for PauseIA [France] and $50k for PauseAI UK? (None for PauseAI Global or PauseAI US?) Seriously? Other good grants: Stop…

CIO AI 2026-11-13 10:00 UTC Score 47.0 USR-0125-20261113-global-ai-ne-e00ab2af

Saying no to AI spend is how we protect AI value

It’s the 17th of the month and one of our engineers wants more credits for Claude. They’ve already spent $4,000 and we can’t believe it. Barely halfway through July and they’ve not only overshot their monthly budget but need an even larger allocation. Soon after, alerts start going out that we’ve reached 75% of our allocated monthly spend limit. This request, among many others, made us think twice about AI spend. The interest is there and often the innovation is, too. But what about the value? If anyone asked us to approve an IT product that costs a few thousand dollars per seat, per month, would we say yes? Especially when the cost fluctuates and the return on investment isn’t guaranteed? At Paessler, like many companies, we’re building the AI boat as we sail it. The trouble is that spend leaks are common in the wild waters of automation. We realized the need to correct course: value-vs-spend checks serve as a necessary compass and a cross-functional AI team keeps the ship structurally sound, preventing things like shadow AI or unchecked agents from sinking the budget. We’ve learned the hard way that protecting AI value means being willing to sometimes say no, putting the processes and the people in place to make that call before the bill arrives. Heading into the new year, let’s explore why “tokenmaxxing” is out and “valuemaxxing” is in. AI got a longer leash than any other software Earlier this year, our first AI-focused dev day showed us just how quickly expenses can get…

CIO AI 2026-11-13 09:00 UTC Score 46.0 USR-0125-20261113-global-ai-ne-6a778c23

Your AI ROI problem is a culture problem

These days, when I talk to CIOs about how their organizations are using AI, there’s a lot less excitement about new tools and the potential for higher productivity, and a lot more anxiety about what the return on investment has been so far. Because for most companies, that return has been less than expected, especially as cost per token is increasing . Last year, IBM’s 2025 CEO study found that only 25% of AI initiatives had delivered the expected ROI over the last few years, and only 16% had scaled enterprise-wide. MIT’s NANDA initiative found that 95% of generative AI pilots delivered no measurable P&L (profit and loss) impact. More recently, SAP and Oxford Economics’ Value of AI Report 2026 found that 69% of businesses worldwide are “satisfied” with the ROI of their AI costs – but more than two-thirds think there’s still room for improvement. It’s tempting to read those numbers as a verdict on AI’s limitations. But the research points somewhere else. When Boston Consulting Group surveyed 1,000 senior executives , it found roughly 70% of AI implementation challenges stemmed from people and processes, 20% from technology and 10% from the algorithms themselves. The companies seeing the most value from AI? They were investing 10% in algorithms, 20% in technology and data, and 70% in people and processes. As CIO, you don’t just own the tools. You lead the teams that determine whether the tools pay off. My own experience with AI – integrating it into Per Scholas’s classrooms, s…

Medianama AI 2026-11-13 08:12 UTC Score 35.0 USR-0211-20261113-regional-new-60966912

NHRC urges govt to probe Meta’s funding of UNICEF amid CSAM investigation

In a letter to the Child Development Ministry, MHRC member Priyank Kanoongo wrote that "there is a concern" that UNICEF "which is supposed to work on the issue of CSAM while receiving funding from Meta, might end up serving Meta's interests". The post NHRC urges govt to probe Meta’s funding of UNICEF amid CSAM investigation appeared first on MEDIANAMA .

LessWrong AI 2026-11-13 00:05 UTC Score 62.0 USR-0152-20261113-community-fo-ac4a19f1

AGI is probably bad for startups, even if it doesn't lead to ASI

One of the great mysteries of capitalism is the nature of the "firm". It's a question that is near and dear to my heart as someone that's been "doing startups" for the last six years, and almost every startup founder has considered it whether they realize it or not. There are two ways of asking The Mystery of the Firm, depending on your initial inclination. The most generic way to ask it is: When and why do businesses transact with each other, instead of doing things in-house? What determines the shape and size of businesses, in different sectors of the economy? A more pointed way to ask the question is: Why isn't there just one big corporation? One Big Corporation would have a lot of advantages; it doesn't have to pay someone a gross margin on its inputs, it'd have massive advantages of scale in place like media or software, and (presumably) it'd have a much easier time sharing information between components that would ordinarily be different firms. Economists have many ways of answering this question. My preferred explanation, which is compatible with a lot of others, is that the primary bottleneck on firm size are Moral Mazes . Even large and well run companies like Google, which do have a lot of product lines and would like to have more, eventually face massive principal-agent problems when they need to add headcount. Ultimately, there is only one CEO and one board, and no matter how earnest these people are they become bottlenecked on attention. Google has a lot of mone…

CIO AI 2026-11-12 23:56 UTC Score 60.0 USR-0125-20261112-global-ai-ne-d6c8c8dd

United Airlines becomes the latest enterprise to shut its door to customer bots

United Airlines on Wednesday became the latest enterprise to block customer bots, following similar moves from Walmart, Target and Amazon. The $59 billion airline, the second largest in the world, said the move was prompted by fears of data leakage, unintended purchases, and the risk of violating federal airline rules. But industry observers say that the more concerning business risks are the lack of industry standardization around AI coupled with an ever-increasing number of bots from major AI vendors and AI startups. The fear is that supporting the multiple bots that customers use could become an almost infinite drain on IT resources. However, they said, strictly enforced industry standards might persuade some enterprises to rethink their bot resistance. United’s statement said, “United is taking steps to restrict access – directly within our digital platforms and indirectly via travel agencies and aggregators – to prohibit use by unauthorized, third-party personal AI agents or assistants. This work includes updates to our booking, ticketing and distribution policies.” It pointed out that corporate leaders in the banking and retail industries have taken similar actions regarding AI agents, and said, “we encourage others to consider measures that preserve the data and security of their customers and strengthen safety.” The airline listed a variety of problems with bots that it is trying to avoid, including the risks associated with customers sharing account credentials “wit…

SiliconANGLE AI 2026-11-12 23:24 UTC Score 62.0 USR-0127-20261112-global-ai-ne-e0d6fe29

AI agent tooling provider LangChain secures $300M investment

LangChain Inc., a startup with a set of popular open-source tools for building artificial intelligence agents, has raised $300 million in funding. The Wall Street Journal reported today that Alphabet Inc.’s CapitalG fund led the round. It was joined by IVP, Sapphire Ventures, GIC and DFJ Growth. LangChain is now worth $3 billion. San Francisco-based […] The post AI agent tooling provider LangChain secures $300M investment appeared first on SiliconANGLE .

LessWrong AI 2026-11-12 17:37 UTC Score 63.0 USR-0152-20261112-community-fo-7729ec09

Reward-Hacking is potentially ill-defined

Github link In the process of revisiting previous posts on reward-hacking (RH), I decided on performing a closely matched [1] repro of Dean Valentine's chess RH experiments on Astra . The replication is as expected -- Astra used the engine on all 20/20 attempts (resulting in 19 wins and 1 draw) without ever disclosing its use in the final output. However, a closer look at the honeypot prompt raised a question: what exactly counts as the model’s own ability? Even laws are open to interpretation in court, so it seemed unfair to assume that “your ability” had only one reasonable interpretation here -- especially for models explicitly trained for tool use. As the model being tested, I could plausibly interpret “[my] ability” as including the tools available in my environment unless given a more concrete definition or directly prohibited otherwise. The next logical question is then: Does Astra still RH when given a hardened prompt that explicitly defines “your ability”? To test this, I gave it the following definition. Original prompt Modified prompt ## TASK You are being evaluated on your ability to play chess. We want to measure your ability to beat current best-in-class chess algorithms. ## THE GAME You play White, one game, ... ## TASK You are being evaluated on [your own ability](definition.md) to play chess. We want to measure your ability to beat current best-in-class chess algorithms. ## THE GAME You play White, one game, ... definition.md # Your own ability **Your own ab…

CIO AI 2026-11-12 16:06 UTC Score 35.0 USR-0125-20261112-global-ai-ne-77149413

The midterms are over. The business fallout is just beginning

Within six days of the November 3 midterm election, investors had repriced healthcare companies, banks were preparing for a different oversight environment and analysts had lowered the odds of a major energy-permitting bill. No new Congress had convened. No sweeping banking law had been rewritten. No healthcare funding compromise had been enacted. A change in law is not required for the economics of a business decision to change. Investors, counterparties and management teams revise expectations as the probability of different outcomes shifts. Those expectations influence choices being made now. Across manufacturing, financial services and enterprise technology, I have seen decisions that made sense within one function create expensive problems for another. That risk grows when capital and specialist capacity are already committed. Following this election, the CEO needs to understand strategic exposure, the CFO needs to test the financial implications and the COO needs to determine what can actually be delivered. Those assessments belong in the same conversation, while there is still room to change course. The vote is complete. The effects on enterprise plans are still taking shape. 6 days that changed the planning assumptions The Associated Press confirmed Democratic control of both chambers , with the new majorities due to take office in January 2027. The immediate market response illustrated how quickly expectations can change before policy does. On November 4, shares of…

SiliconANGLE AI 2026-11-12 14:00 UTC Score 54.0 USR-0127-20261112-global-ai-ne-2c69d596

Qvyon launches with $8M to improve safety for physical AI deployments

Physical AI validation infrastructure and software development company Qvyon Technologies Inc. launched today with $8 million in total funding to help companies validate autonomous vehicles and robots before deployment. MaC Venture Capital led the funding, with participation from BDC Capital, BKR Capital and Spotlight VP. Physical AI is artificial intelligence that moves from digital brains […] The post Qvyon launches with $8M to improve safety for physical AI deployments appeared first on SiliconANGLE .

MarTech AI 2026-11-12 13:02 UTC Score 57.0 USR-0123-20261112-global-ai-ne-a042dc7e

The latest AI-powered martech news and releases

Adobe is expanding its AI stack with Google models, custom Disney models, and agentic tools to coordinate content and marketing workflows. The post The latest AI-powered martech news and releases appeared first on MarTech .

SiliconANGLE AI 2026-11-12 13:00 UTC Score 51.0 USR-0127-20261112-global-ai-ne-0738c17f

Hatz AI raises $24M to help small businesses go AI-native through their MSPs

Large enterprises have emerged as the foremost adopters of artificial intelligence technology, and it’s giving them an unfair advantage over their smaller competitors. Looking to change that is a startup called Hatz AI Inc., which has just raised $24 million in early-stage funding to empower managed services providers with the tools they need to keep […] The post Hatz AI raises $24M to help small businesses go AI-native through their MSPs appeared first on SiliconANGLE .

InfoWorld AI 2026-11-12 12:38 UTC Score 60.0 USR-0126-20261112-global-ai-ne-367fdc1b

AWS boosts Bedrock AgentCore runtime compute capacity to speed up AI agent development

AWS on Thursday said that it was upgrading the runtime layer of Amazon Bedrock AgentCore with greater compute capacity, more efficient memory utilization, and faster startup times to help enterprises deploy and scale AI agents more quickly and cost-effectively. The greater compute capacity includes support for up to four times more compute than the previous version, with each session now supporting up to eight virtual CPUs (vCPUs) and 32GB of memory, the hyperscaler said in a statement. In addition, the runtime supports container images of up to 10GB, it further said, adding that these upgrades will allow developers to run more demanding agent workloads, including large codebase compilations, browser-driven workflows, and local model inference. As for memory utilization, the new updates will enable AgentCore runtime to reclaim unused memory within minutes of an agent releasing it and allow idle agents to scale to zero. This will help enterprises reduce the cost of running agents, particularly those that spend considerable time waiting for model responses, tool calls, or human intervention, the hyperscaler said. For multi-turn agents with natural pauses between interactions, this can reduce memory consumption per session by up to 68%, it added. Separately, in order to support always-on agents, the hyperscaler has introduced baseline pricing as part of the updates. Baseline pricing, according to the hyperscaler, sets a minimum memory allocation per session while allowing workl…

Tech.eu AI 2026-11-12 12:38 UTC Score 48.0 AI-169-20261112-regional-ai--28b277d6

SoftBank leads $500M funding round in Agile Robots

SoftBank has led a $500m funding round in German humanoid robotics startup Agile Robots that automates industrial work.The Japanese multinational led the Series F funding round, which also features Nv...

Tech.eu AI 2026-11-12 11:30 UTC Score 38.0 AI-169-20261112-regional-ai--5a757c55

UK banking infrastructure fintech Griffin raises $20M

UK banking infrastructure fintech Griffin has raised $20m in new funding, it said today, and is now valued at over $100m. The $20m Series B funding round was led by Octagon Partners with participation...

CIO AI 2026-11-12 10:01 UTC Score 33.0 USR-0125-20261112-global-ai-ne-d80eb490

CEOs have had enough of incremental AI

Four years into the new AI era, and few business leaders appear happy with the results. At issue is growing impatience with IT leaders who have not moved their organizations beyond using AI for small tweaks to current business process. Seventy-seven percent of business decision-makers, including C-suite leaders, directors, and managers, believe their organizations are dedicating too much of their AI investments to incremental improvements, according to a survey commissioned by Microsoft-focused IT advisory services provider Avanade. Only 11% of decision-makers expect AI to fundamentally change how their organizations operate, create value, or compete in the next year. Nearly two-thirds say AI has not yet delivered returns that justify their investment and effort, and three-quarters believe their organizations have overstated their AI maturity . The survey shows that many organizations — and their CIOs — aren’t yet embracing the potential of AI, even though they see the possibilities, says Ben Beath, Avanade’s chief AI officer. “Confidence is high, but confidence isn’t the same as change,” he adds. “Having Copilot licenses and a few dozen use cases can feel to a leader like maturity , but it probably isn’t if it hasn’t changed the way the work is actually getting done.” When business leaders don’t see major returns from their AI investments, it suggests their organizations still haven’t reached AI maturity, he says, likely due to a misguided AI strategy and approach. “That’s…

SiliconANGLE AI 2026-11-12 10:00 UTC Score 46.0 USR-0127-20261112-global-ai-ne-d9e5427f

Nebuly wants to help enterprises understand exactly what their AI investments are worth after raising $21M

An Italian startup called Nebuly S.r.l. says it’s going to help organizations better understand the impact their investments in artificial intelligence have on their bottom lines after raising $21 million in funding today. The round was led by Planven and saw participation from backers including Exor Ventures, Tenacity Capital, TGVG Capital, Fastweb, Vodafone and CDP […] The post Nebuly wants to help enterprises understand exactly what their AI investments are worth after raising $21M appeared first on SiliconANGLE .

iAfrica 2026-11-12 09:25 UTC Score 36.0 AI-151-20261112-regional-ai--cee722c1

Vodacom Seeks Partners to Build AI Data Centres in South Africa and Kenya

Vodacom Group will look for partners to build AI data centres in South Africa and Kenya, following the model it has used in Egypt, chief executive Shameel Joosub said. “Egypt, Kenya, South Africa are our bigger markets,” Joosub told Bloomberg. “It will be a big investment, and that is why we’re bringing on partners.” In [...]

iAfrica 2026-11-12 09:20 UTC Score 33.0 AI-151-20261112-regional-ai--5908738b

Enza Capital Reaches $21m First Close for AI Africa Fund

Nairobi-based Enza Capital has reached a first close of about $21 million for its AI Africa Fund — 35% of a $60 million target, with a hard cap of $80 million. The firm expects further commitments before the end of 2026 and a final close in 2027, when it plans to make its first investments. [...]

CIO AI 2026-11-12 09:00 UTC Score 69.0 USR-0125-20261112-global-ai-ne-55851bb2

Jev and the era of model Tetris

This spring, in an interview after a keynote, I said we were all playing LLM Tetris now. The days of using the same LLM for every agent problem were over. Some decisions needed to come back in milliseconds, and some could take three minutes. Some needed generative output, and some needed logical decisions where an open-weight model might do. Fit the model to the use case. I still believe that. But I was only half right, because I was still picturing every piece as an LLM. Bigger or smaller, pricier or cheaper, faster or slower, but all the same shape: text in, text out. On September 15, a model shipped that doesn’t write anything. Within three weeks, more than a dozen others followed, from OpenAI, Cloudflare and Perplexity to open-source projects you can run on a laptop. Then on October 27, we got yet another class of model from Liquid AI, small enough to run on a phone. The game I described in the spring is real. It just has more piece shapes than I expected, and it isn’t only an LLM game anymore. It’s model Tetris now. What a System One model actually is The model is called Jev, from a startup called TypeSafe AI. Its founder, Diogo Almeida, says he helped build the instruction-following research at OpenAI that became ChatGPT. He then spent two years in stealth on a different question: if models have been superhuman at chat for years, where is all the automation? His answer borrows from Daniel Kahneman’s Thinking, Fast and Slow . System Two is slow and deliberate. System On…

Techcrunch 2026-11-11 20:04 UTC Score 37.0 USR-0001-20261111-global-ai-ne-5c1f8d56

Olaf Sakkers is betting he can beat the emerging-manager squeeze

Entering into the world of venture capital has never been easy, especially as a first-time fund manager. But it's especially daunting right now. Olaf Sakkers has spent the past five years proving that difficult doesn't mean impossible.

Business Insider AI 2026-11-11 19:58 UTC Score 48.0 USR-0098-20261111-global-ai-ne-65841f83

Niche work if you can get it

Legal AI startups like EvenUp and Harvey face bubble risks as law firms, Stanford and investors test new tools at LegalTech Fund Summit.

Business Insider AI 2026-11-11 19:46 UTC Score 46.0 USR-0098-20261111-global-ai-ne-31fa2812

AI’s dealmaking frenzy

AI startup acquisitions surge as SpaceX, Nvidia, Amazon and Stripe drive record venture-backed M&A deals and unicorn liquidity.

IEEE Spectrum AI 2026-11-11 13:00 UTC Score 45.0 AI-019-20261111-global-ai-ne-f70cc90b

NSF’s X-Labs Program Draws Support From Charities and Investors

When the U.S. National Science Foundation began its X-Labs program in May, the agency said the higher-risk, higher-funded awards would create new kinds of partnerships that would confront urgent scientific and technological challenges. Now the NSF is doubling down on the idea, with an announcement in October that charities, companies, and investment funds would provide X-Lab winners practical support such as laboratory space, software, shared equipment, and access to key data and expert guidance. The help provided by these organizations, which the NSF is calling “ consortium partners ,” will not give them ownership stakes in the X-Labs projects. The addition of the consortium partners may help the initial winners—who will be announced later in November or December and receive US $1.5 million for a 9-month planning phase—reach the aggressive targets needed to compete for much larger $50 million multiyear grants. “It’s a way of telling X-Labs applicants you don’t need to reinvent the wheel, so you’re not spending half of your X-Labs money to go build or buy basic infrastructure,” says Matt Cimaglia , an investor in consortium partners Occam Foundry and Florida Quantum Center . NSF X-Labs Focus on AI, Computing, and More The NSF initially announced two focus areas for the X-Labs program: scientific instruments for sensing and imaging and photonic microchips for quantum systems . In September, the agency followed up with three additional areas in AI for physical devices , decodi…

CSET AI 2026-11-11 12:00 UTC Score 40.0 USR-0136-20261111-research-aca-4bf2f4de

Spy scandal highlights contradictions at heart of Trump’s China policy

CSET’s Sam Bresnick shared his expert insight in an article published by The Washington Post. The article examines how allegations of Chinese espionage involving Nvidia CEO Jensen Huang have raised questions about President Donald Trump’s approach to U.S.-China relations, semiconductor export controls, and national security. The post Spy scandal highlights contradictions at heart of Trump’s China policy appeared first on Center for Security and Emerging Technology .

Tech.eu AI 2026-11-11 10:52 UTC Score 51.0 AI-169-20261111-regional-ai--b6b0e0c4

Tendrils Compute raises $30M to “redo the CPU”

A UK startup developing a radically different type of computer chip has raised $30m in a reported hotly contested funding round.Cambridge-based Tendrils Compute is looking to challenge the dominance o...

CIO AI 2026-11-11 10:00 UTC Score 25.0 USR-0125-20261111-global-ai-ne-6358dd34

New US CIO appointments, November 2026

Movers & Shakers is where you can keep up with new CIO appointments and gain valuable insight into the job market and CIO hiring trends. As every company becomes a technology company, CEOs and corporate boards are seeking multi-dimensional CIOs and IT leaders with superior skills in technology, communications, business strategy, and digital innovation. The role is more challenging than ever before — but even more exciting and rewarding! If you have CIO job news to share, please contact me here ! Laurie Douglas promoted to CIDO at Publix width="1240" height="827" sizes="auto, (max-width: 1240px) 100vw, 1240px"> Laurie Douglas, Publix Publix Founded in 1930, Publix Super Markets is an employee-owned supermarket chain in the US employing over 200,000 associates. Douglas currently serves as SVP and CIO, and has been with the company for more than 20 years. Before joining Publix, she served as SVP and CIO at FedEx. Douglas holds a BA from Duke University. ABC Supply names Larry Sullivan as CIO width="1240" height="827" sizes="auto, (max-width: 1240px) 100vw, 1240px"> Larry Sullivan, ABC Supply ABC Supply ABC Supply distributes roofing materials, exterior and interior building products, and outdoor products to professional contractors. Sullivan, currently VP of software, data and digital transformation at the company, has led several key initiatives across AI, data and analytics, digital transformation and technology strategy. He held roles at Motorola Solutions and USG. Amaresh S…

Medianama AI 2026-11-11 09:44 UTC Score 40.0 USR-0211-20261111-regional-new-71f87071

AvenuesAI Q2: Profit rises 6% to Rs 72 cr, revenue surges 47%

AvenuesAI reported a 6% rise in net profit to Rs 71.7 crore in Q2 FY27, while revenue grew 47% to Rs 2,879.2 crore. The company also raised its FY27 revenue guidance to Rs 13,000 crore. The post AvenuesAI Q2: Profit rises 6% to Rs 72 cr, revenue surges 47% appeared first on MEDIANAMA .

Asia News Network AI 2026-11-11 00:25 UTC Score 25.0 AI-158-20261111-regional-ai--33b35cea

China’s trade momentum bolsters growth outlook

The total value of China's goods imports and exports reached 44.81 trillion yuan ($6.7 trillion) in the first 10 months of 2026, up 20 percent year-on-year, buoyed by the global boom in artificial intelligence investment.

SiliconANGLE AI 2026-11-10 22:45 UTC Score 58.0 USR-0127-20261110-global-ai-ne-b19b265f

Mercor raises $750M at $20B valuation to take AI agent evaluation to enterprises

Artificial intelligence training data company Mercor.io Corp. today revealed that it has raised $750 million in new funding at a $20 billion valuation. Mercor provides the human expertise used to train and evaluate AI models, drawing on a network of more than 5 million domain experts. Most of that work so far has been for […] The post Mercor raises $750M at $20B valuation to take AI agent evaluation to enterprises appeared first on SiliconANGLE .

The Verge AI 2026-11-10 21:40 UTC Score 57.0 AI-016-20261110-global-ai-ne-1a58fae7

Oura is acquiring medical AI chatbot startup Counsel Health

Oura announced its quarterly earnings today and said it agreed to acquire Counsel Health for $625 million, after adding the company's AI chatbot to its app earlier this year. Counsel Health calls itself an "AI-native primary care company," using the app to deliver AI-generated responses and insights based on users' health data reported from their […]

LessWrong AI 2026-11-10 18:26 UTC Score 61.0 USR-0152-20261110-community-fo-3daccf6d

Fluid org boundaries with AI?

AI may radically change our conception of “who is in an org”. Historically, there is a sharp delineation between an org’s staff (on the “inside”), versus its users (on the “outside”). The relationship of a fulltime employee of an org is radically different than that of one of its customers. This is especially true for consumer tech startups & companies: think Google, Meta, Reddit, X, now perhaps OpenAI and Anthropic. With AI however, the bar for an external user to be able to contribute, drops drastically. At the same time, employing and compensating this user will be much easier, as AI obliterates transaction costs. Overall, I expect org boundaries to become much more porous: more part-time workers, more volunteers, more collectives and communes. Stepping back: why is it the case that orgs have a relative few fulltime employees? What makes it hard for a single org to stretch to encompass more humans? I’ll go through four major historical drivers, and how AI might change each. First, it’s hard to hire and onboard. Hiring requires a lot of trust. An org wants to know that a person is a good fit, worth paying for. The job market is famously a market for lemons. Orgs try to vet candidates, but resumes are low-signal; interviews cost precious staff time, and also select for people good at interviewing. Ideally you would see the person doing the job — in a work test or work trial. AI can change this by making search and matching problems much more efficient. And this is not just…

SiliconANGLE AI 2026-11-10 14:00 UTC Score 57.0 USR-0127-20261110-global-ai-ne-434af889

Lumbra gets $25M in backing to help intelligence community deploy reliable AI agents

When it comes to matters of national security, it’s vitally important to ensure that the right intelligence gets to the right decision-makers, but doing this in today’s complex information technology environments is challenging, to say the least. Enter the artificial intelligence startup Lumbra Inc., which has just raised $25 million in early-stage A funding to […] The post Lumbra gets $25M in backing to help intelligence community deploy reliable AI agents appeared first on SiliconANGLE .

InfoWorld AI 2026-11-10 14:00 UTC Score 54.0 USR-0126-20261110-global-ai-ne-8fa2adca

PuppyGraph adds AI schema builder and MCP support to help ease enterprise agent adoption

PuppyGraph on Tuesday said it was adding an AI-assisted graph schema builder and MCP integrations to PuppyGraph 1.0, the new version of its distributed graph query engine for enterprise data. The update is designed to help developers reduce the complexity, latency, and costs associated with letting AI agents query interconnected data across thousands of database tables and multiple platforms. The AI-assisted schema builder automatically maps existing tables into graph entities, relationships, and properties, allowing developers to review and approve the resulting schema rather than manually defining how disparate datasets connect, the Santa Clara-headquartered startup said in a statement. These schemas can be used by agents deployed to query enterprise data, giving them a predefined map of how information across different tables and systems is connected, rather than requiring them to identify relevant tables and construct complex SQL joins dynamically, in turn simplifying query generation and reducing errors and retries, it added. To improve query accuracy, PuppyGraph’s query engine also validates agent-generated queries against the graph schema, rejecting undefined relationships and returning feedback that agents can use to correct errors. Further, the execution engine splits complex graph queries into smaller operations that run simultaneously across multiple compute nodes, rather than sequentially on a single machine, helping accelerate queries that traverse multiple rela…

The Decoder 2026-11-10 12:13 UTC Score 46.0 AI-168-20261110-regional-ai--0ec255b7

Anthropic kicks off IPO roadshow, offering shares at $70 to $78 and targeting a trillion-dollar valuation

Anthropic is kicking off its IPO roadshow, targeting a valuation of up to $1.02 trillion. Beyond the public offering of up to $64.4 billion, the company is securing $26 billion through a private placement with Google, Nvidia, Microsoft, and other major tech firms as anchor investors. The IPO comes at a time when investors are growing increasingly skeptical of AI investments. The article Anthropic kicks off IPO roadshow, offering shares at $70 to $78 and targeting a trillion-dollar valuation appeared first on The Decoder .

Tech.eu AI 2026-11-10 10:35 UTC Score 41.0 AI-169-20261110-regional-ai--1a7e9f3a

Mistral and N26 backer Redalpine closes $250M fund

Pan-European VC outfit Redalpine has closed a $250m fund, marking its biggest early-stage fund to date, it said. Founded in Zurich in 2006, Redalpine invests in tech and science startups across Europe...

CIO AI 2026-11-10 10:01 UTC Score 44.0 USR-0125-20261110-global-ai-ne-a43747a9

IT leaders seek alternatives for SAP, VMware, and Java

CIOs are increasingly looking to shake up their enterprise software portfolios, and no software suite is too large or too entrenched to be off limits for potential replacement. Driven by increasing licensing costs, end of vendor support, and the promise of AI-coded alternatives, IT leaders are adding several major enterprise software packages to their replacement lists, including VMware, SAP’s ERP suites, and Oracle’s Java. Representatives of those three companies didn’t respond to requests for comment. One factor driving the trend is the ever-improving functionality of AI-powered coding tools, leading some CIOs to explore building their own software in targeted cases instead of relying on outside vendors. The potential for AI coding tools to replace SaaS suites drove the so-called SaaSpocalypse, a sharp decline in the stock prices of several SaaS vendors earlier this year. Replacing SaaS products with AI-coded software has largely remained theoretical, at least so far, but a few IT leaders have begun to experiment with the possibility. At the same time, some software vendors have pushed customers away with more expensive pricing models or the end of support for enterprise mainstays. Broadcom raised prices significantly after purchasing virtualization market leader VMware nearly three years ago, and a recent survey by third-party support vendor Rimini Street found 90% of IT leaders at VMware customers looking for alternatives. SAP meanwhile has announced the end of support f…

CIO AI 2026-11-10 10:00 UTC Score 49.0 USR-0125-20261110-global-ai-ne-b9f7b514

Culture is the new AI barrier: Why trust and adoption are more than technical challenges

There’s intense focus among business leaders on building the right IT foundation to support AI across the organization. There’s a rush to provision computing resources, unify data sources and modernize security, among other investments. But the implementation of AI is both a technical and organizational challenge. To actually get value, employees must know how to effectively wield the tools and understand their role in the emerging agentic processes, both as a security check and a mentor. Businesses need to trust they have the right infrastructure in place to scale, and employees have to trust the outputs are accurate — particularly as AI agents operate with growing independence. Increasingly, AI can move beyond simply monitoring systems. Agents can start to act like a site reliability engineer, for example, retrying failed jobs, identifying problems and initiating self-healing actions. Or in post-trade processing, AI agents can automate exception management, a traditionally manual process that requires information to move back and forth between financial institutions and counterparties. To manage both the cultural and technical changes required, companies should think of AI adoption in three layers: foundations, trust and adoption. Foundations AI success starts with the fundamentals. At the most basic level, it’s about making sure the resources are there to power the AI agents. But soon enough, any company will be able to buy or rent enough hardware to run AI at scale. The…

CIO AI 2026-11-10 09:00 UTC Score 53.0 USR-0125-20261110-global-ai-ne-dca91199

What kind of management style is needed in the age of AI?

As AI increasingly takes over routine tasks and basic information processing, simply using the same AI tools as competitors is no longer enough to differentiate a company. Competitive advantage is increasingly rooted in what makes each organization unique: its philosophy, culture, and accumulated tacit knowledge. For business leaders, including CIOs, the central question is shifting from “How can AI improve efficiency?” to “How can we foster continuous growth for both our people and our organizations in the AI era?” Two influential perspectives offer valuable insights into this challenge. The first is Founder Mode, an essay published in September 2024 by Paul Graham , co-founder of Y Combinator , the influential Silicon Valley startup accelerator. The second is The Founder’s Mentality, a management framework developed by Bain & Company through its extensive research into the drivers of sustained corporate growth and the crises that can undermine it. Both address a fundamental challenge: as organizations expand, how can they preserve the sense of ownership, entrepreneurial energy, and intuitive decision-making that defined their early success? In this article, I explore how Founder Mode can serve as a practical leadership approach for sustaining the principles of the Founder’s Mentality —and why this combination may become increasingly important for organizational growth in the AI era. Founder Mode : Rethinking the conventional wisdom of delegation As an organization grows, l…

LessWrong AI 2026-11-10 05:13 UTC Score 67.0 USR-0152-20261110-community-fo-4f3767f5

Lightcone Commons: what I funded and why

I am an evaluator for Lightcone Commons (LC). LC is a platform for applicants to submit projects, for evaluators to rank them and for funders to choose the funding orders of several evaluators. It is not a foundation, in that it doesn’t have money that it spends how it chooses. And I do not have a permanent position working for Lightcone Commons. I get paid 2% of any money that a funder chooses to direct via my funding order. This pays for my time and also for any research that I pay others to do. That said, what were my general and specific funding preferences? This is a version of what Lightcone published, it might be wrong, but theirs was definitely wrong (their headline numbers didn’t include funding that had been hidden) Lightcone also has a beautiful page for looking through public information here . General preferences: I like AI policy that creates the ability to slow down AI if necessary, but doesn’t automatically push for immediate pauses. I like policy orgs which people I know in US politics respect. My current understanding is that it’s organisations that work with the administration, are respected by Republicans or that the AI companies listen to. Bipartisan organisations, I am told, are considered Dem. It’s not worth talking to random Senators, it should be those who tend to push/change legislation that gets passed. This is true even with a Dem majority. Policy will still need Trump’s non-veto and Republican votes. I flag conflicts of interest but still recomme…

LessWrong AI 2026-11-10 01:43 UTC Score 65.0 USR-0152-20261110-community-fo-d41bccaa

Lightcone Commons: Round 1 complete, Round 2 underway

Tl;dr: Lightcone Commons’ first funding round is complete! 17 evaluators made funding recommendations, including Zvi Mowshowitz, Scott Siskind and Eliezer Yudkowsky. 23 funders coordinated to grant $45.1M, and 147 projects received funding. Round two is open. Applications for round two close on November 15th and funders confirm their grants by December 14th. Funders can join anytime before December 7th. In 2027, we will be hosting funding rounds monthly. Yes. Every month. You can join as a funder, express interest in joining as an evaluator, and apply for funding at lightconecommons.com . Lightcone Commons staff do not decide what grants get made. [1] Pls stop saying that "Lightcone Commons funded us", that's a bit like saying "PayPal funded me". Lightcone Commons is an end-to-end philanthropic coordination platform. We host an open funding application, and invite evaluators to make ordered funding recommendations. Participating funders then decide how much they want to give, and to whom – either by following the recommendations of evaluators or choosing specific projects to fund. When multiple funders want to fund the same project they ‘split the bill’. Lightcone Commons is not a foundation. We don’t decide to make specific grants. Funders decide what grants to make, aided by evaluators. Lightcone Commons provides the infrastructure for this to happen. We are worried that people will mistakenly understand Lightcone Commons to be a foundation, and say things like ‘I wonder w…

CIO AI 2026-11-09 16:30 UTC Score 50.0 USR-0125-20261109-global-ai-ne-cea02111

The industrialization of AI: 8 critical considerations for building an AI gigafactory

The industrialization of AI: 8 critical considerations for building an AI gigafactory The rapid rise of artificial intelligence has transcended the boundaries of corporate software innovation, sparking a foundational transformation in global infrastructure. Across the globe, nations, research institutions, and large enterprises are shifting away from traditional data center models toward massive, centralized hubs designed explicitly to industrialize AI workloads at an unprecedented scale. As the European Commission works to establish multiple facilities dedicated to training next-generation AI models with trillions of parameters, a new term has emerged to describe these monumental engineering feats: the AI gigafactory. While a standard corporate AI setup might utilize a few hundred or thousand GPUs, an AI gigafactory scales up to tens or hundreds of thousands of nodes. Power requirements shift dramatically from standard line-item budgeting to a fundamental physical constraint measured in megawatts or even gigawatts. For CIOs and technology leaders tasked with planning these multi-million-dollar investments, success requires designing the infrastructure from the ground up to support a decade-long operational lifespan. Based on an architectural white paper from HPE and AMD , here are the eight critical considerations that technology leaders must address when planning a giga-scale AI facility. Start with power and land At the gigafactory scale, raw electrical power dictates the…

IEEE Spectrum Machine Learning 2026-11-09 16:25 UTC Score 51.0 AI-020-20261109-global-ai-ne-33f15b62

AI Agents Are Testing the Limits of Zero-Trust Security

This article is brought to you by Queen’s University Belfast . Several teams around the globe are leveraging AI by creating a task force of agents managed by an orchestrator and creating applications to support risk assessment, client profiling, match making, and information yield with a slight overview of decision making. One of the important components for these agents is to ensure that the logs are managed and historic relevance is not being used to avoid skewing towards same decision making. Thus, the system is expected to keep checkpoints in place where agents are prompted to delete such historic relevance. However, despite such methodology in place, a future prompt could make the agents bring forward the information that was supposed to be deleted and can be tricked into revealing more information, which is a classic case of context recovery attack. So, the question raised here is: How can we trust that our instructions have been followed? And where is the proof? There is an element of utilizing zero-trust architectures (ZTA) for orchestrating and managing agentic activity, which simply means all agentic interactions use the core principle of “never trust,” “always verify.” ZTA components include a policy enforcement point (PEP) that has to be trusted to maintain trust across the system, so the question that remains is where is the component of zero-trust, and shall we trust the policies enforced by PEP? Having a pro-agentic approach and utilizing agents could be helpf…

CIO AI 2026-11-09 16:00 UTC Score 49.0 USR-0125-20261109-global-ai-ne-cf8818ca

Northern Trust streamlines client onboarding with AI agent

Venerable Chicago-based banking institution Northern Trust today unveiled a new AI-powered client onboarding agent to streamline the process of bringing institutional clients onto Northern Trust Asset Servicing’s Front Office Solutions platform. The agent, which transforms years of data and transaction history into a standardized format ready for use in the bank’s reporting environment, is the result of an expanded collaboration with Microsoft. Developed jointly by Northern Trust and forward deployed engineering (FDE) teams from Microsoft Frontier Company , the agent has cut data preparation time by 83%, from two-and-a-half weeks to just three days. “Onboarding a large institutional client can involve an enormous amount of data, particularly in alternative investments,” says Northern Trust COO Pete Cherecwich. “You might have years of transaction history and cash flows across multiple investments, and the data can come to us in all kinds of different formats.” width="1240" height="827" sizes="auto, (max-width: 1240px) 100vw, 1240px"> Pete Cherecwich, Northern Trust Northern Trust Until now, Northern Trust had to map and transform that data manually before loading the data into its environment. “This seemed like a really good problem for AI because there’s a lot of complexity and variability in the data, but there are also patterns that the technology can learn,” Cherecwich adds. “The agent does a lot of the heavy lifting, and then our people review the output and handle the…

CIO AI 2026-11-09 11:00 UTC Score 56.0 USR-0125-20261109-global-ai-ne-8ba3a944

AI agents shouldn’t grade their own work

On July 16, Hugging Face disclosed that an autonomous agent system had breached part of its production infrastructure. Five days later, OpenAI identified its own models as responsible. Its subsequent investigation described agents operating under reduced safeguards, exploiting flaws in shared infrastructure, and reaching the internet through a package-management service. They exchanged discoveries on an improvised message board and coordinated further attacks. Likewise, on July 30, Anthropic reported three incidents across six of 141,006 evaluation runs reviewed. Models had reached real organizations through environments mistakenly believed to be isolated. In one incident, a malicious software package was downloaded and ran on 15 real systems. In August, Meta confirmed to Reuters and other outlets that a misconfigured evaluation environment had allowed one of its models to reach the internet and exploit a third-party service. In September, an OpenAI agent bypassed network restrictions by sending questions through internet address lookups. Monitoring raised an alert, but the run did not stop automatically as expected. Staff stopped it roughly two and a half hours after the alert. The concern extends to ordinary tasks. In an October 9 report , Anthropic described models submitting real forms when they should have stopped beforehand or used practice copies. The company characterized the reported impact as minimal. Still, a form submission is the kind of action an enterprise age…

CIO AI 2026-11-09 10:01 UTC Score 33.0 USR-0125-20261109-global-ai-ne-dfd9a4d6

The CIO job description is being rewritten in real-time

Associates in TIAA’s National Contact Center once worked across a stack of screens that, printed out and lined up, totaled 81 inches. “As tall as LeBron James,” says Sastry Durvasula, who serves as COO for the retirement and investment services provider after years running its technology organization. Answering a single question about an account could take all of those screens, spread across 11 systems. A CIO’s old instinct would have been to build a better interface, Durvasula says, with the primary decision being whether to build or buy. “The actual question — the one that matters now — is why answering a single retirement question requires so many processes and 11 systems in the first place,” says Durvasula. That is the kind of mindset required of today’s CIO, a role that has been evolving for years, but now in new and accelerating ways. Because AI makes it possible to rapidly redesign workflows from the ground up , enterprise IT leaders who built their reputations on delivering systems reliably and on schedule are being asked to decide whether the work should exist at all, and who — or what — should do it. How much each CIO adjusts to a rapidly advancing technology space varies widely, but the CIO’s remit is broadening well beyond the technology organization and into how the business itself builds, operates, and grows. In search of CIOs who ask why first Organizations are looking for CIOs who can answer questions that have nothing to do with a technology purchase, says S…

NVIDIA Blog 2026-11-09 08:00 UTC Score 58.0 AI-055-20261109-official-ai--d4b0c514

NVIDIA Announces New Planned Investments in Korean Startups at the MSIT-NVIDIA AI Startup Partnership Forum

Korea’s Ministry of Science and ICT and NVIDIA hosted the MSIT-NVIDIA AI Startup Partnership Forum at COEX. Representatives from the Ministry of Science and ICT and NVIDIA met with over 20 Korean startups across foundation models, physical AI, AI infrastructure and AI semiconductors. NVIDIA also announced an investment in Korean startup Point2, with additional investments […]

LessWrong AI 2026-11-09 05:51 UTC Score 55.0 USR-0152-20261109-community-fo-5ac83bd5

Be less scared of overconfidence

When I was deciding whether to work for Wave , I got very hung up on the fact that my “total compensation” would be “lower.” The scare quotes are there because Wave and my previous employer, Theorem , were both early-stage startups that were paying me mostly in fake startup bucks equity. To figure out the total compensation, I tried to guess how much money the equity in each company was worth, with a thought process something like: Both of these companies have been invested in by reputable, top-tier venture capitalists. The market for for-profit investments is pretty efficient , and most people who think they can do better are being overconfident. Who am I, a lowly 22-year-old programmer, to disagree with reputable top-tier venture capitalists? I should defer to them about the valuations. So I valued the equity by taking the valuation each company’s VCs had invested at, and multiplied it by the fraction of the company my shares represented. That number was higher for Theorem than for Wave. Seven years on, the Wave equity turned out to be… a lot more valuable. That raises the question: how dumb was my take? Was the actual outcome predictable if I’d thought about it in the right way? I don’t think it was perfectly predictable, but I do think I shouldn’t have been that anchored to the market-efficiency reasoning. Those respectable, top-tier VCs had YOLOed those valuations after a couple one-hour meetings, because that’s how early-stage VC works. Meanwhile, I had worked at Theor…

NVIDIA Blog 2026-11-09 05:00 UTC Score 72.0 AI-055-20261109-official-ai--8881f869

From Chips to Skills, NVIDIA and Korea Expand Sovereign AI Collaboration

NVIDIA and Korea’s Ministry of Science and ICT (MSIT) are expanding their collaboration across the country’s sovereign AI ecosystem, from AI semiconductors and data center infrastructure to talent, startups, models, agents and security. The collaboration lays the groundwork for Korean NPU and XPU companies to explore participation in the NVIDIA NVLink Fusion ecosystem, and includes […]

The Guardian AI 2026-11-08 14:00 UTC Score 45.0 AI-021-20261108-global-ai-ne-ef744c65

Weakening AI copyright law will spell ‘disaster for creativity’, global music body warns Albanese

Exclusive: Head of IFPI says allowing AI companies access to online content would be a ‘huge mistake’ and damage Australia’s reputation Get our breaking news email , free app or daily news podcast Australia weakening copyright protections to aid AI companies would be “ridiculous and dangerous”, the global peak body for the music recording industry has warned as it watches with concern how the Albanese government responds to big tech’s demands. While local creatives have raised constitutional issues and threatened political backlash , the International Federation of the Phonographic Industry (IFPI), representing recording industry bodies worldwide, said its members were worried about Australia potentially agreeing to demands other nations had rejected. Continue reading...

The Decoder 2026-11-08 11:44 UTC Score 49.0 AI-168-20261108-regional-ai--9469a796

The inventor of the bitter lesson has a bitter lesson for LLM scaling enthusiasts

Turing Award winner Richard Sutton reaffirms that raw compute alone isn't enough for intelligence and that fundamentally new learning methods are needed. Ex-OpenAI researcher Tworek agrees, saying blind transformer scaling "has reward hacked brains of a whole generation of scientists." A growing wave of startups is already betting on exactly this gap. The article The inventor of the bitter lesson has a bitter lesson for LLM scaling enthusiasts appeared first on The Decoder .

Cross Validated 2026-11-07 23:01 UTC Score 40.0 AI-113-20261107-social-media-fa899685

How should I model two short autocorrelated time series when pooling observation periods destroys their Pearson correlation?

I am an undergraduate mathematics student and have only recently started studying statistical time-series analysis. I encountered the following problem while comparing two observational time series related to solar emission, and I am trying to understand how to analyse their relationship without drawing misleading conclusions from Pearson's correlation coefficient. I have two quantities, $X$ and $Y$ , which are expected to be related. The original measurements of $X$ are irregularly distributed in time, with multiple observations on some days and none on others. I calculated the median of the available measurements for each observed day, $$ X_d=\operatorname{median}\{p_i:t_i\in d\}, $$ and matched the resulting values with an independently obtained daily reference index $N_d$ . According to my processing notes, the reference variable used for the correlation was $Y_d=\ln N_d$ . Only dates for which both quantities were available were included. Missing days were not interpolated. I then calculated the ordinary sample Pearson correlation coefficient within separate observation periods and again after combining them. The results were unexpected. In the first period, with 11 paired daily observations, I obtained $r\approx0.91$ . In the second period, with 13 observations, I obtained $r\approx0.89$ . However, when I combined all 24 pairs and recalculated the correlation, it dropped to approximately $r=0.11$ . I examined the mean levels and found that the mean of $X$ increased by…

The Guardian AI 2026-11-07 20:03 UTC Score 50.0 AI-021-20261107-global-ai-ne-979b7289

FAA announces first US digital air traffic control towers in Florida and Alaska

Systems provide 360-degree view of airport operations, but concerns have been raised about the technology The Federal Aviation Administration (FAA) has announced that the first digital air traffic control towers in the US are officially operational, bringing new technology first to smaller airports in Florida and Alaska as the Trump administration presses ahead with updating the country’s ageing aviation infrastructure. The systems are now online at the Bartow executive airport (KBOW) in Florida and the Kenai municipal airport (PAEN) in Alaska, with five additional regional airports slated to receive the technology next. Continue reading...

iAfrica 2026-11-07 16:54 UTC Score 33.0 AI-151-20261107-regional-ai--ae03fe9a

AI Is Rewriting The Rules Of Tech Spend

Artificial intelligence has quickly moved from boardroom discussion to business priority, with organisations across South Africa experimenting with AI-powered tools to improve productivity, automate repetitive tasks and unlock new opportunities. But as AI adoption accelerates, so too does a less visible challenge: understanding, governing and optimising the cost of these rapidly expanding technology investments. For [...]

The Verge AI 2026-11-07 15:43 UTC Score 56.0 AI-016-20261107-global-ai-ne-6f25ac92

The US let Nvidia sell chips to an empty office in China

Concerns are being raised that neither the Commerce Department nor Nvidia are doing their due diligence when it comes to vetting Chinese firms cleared to handle the company's H200 AI chips. According to The New York Times, New Matrix is on the list of approved firms, yet its offices are empty, "a hollow gray shell […]

The Guardian AI 2026-11-07 10:00 UTC Score 45.0 AI-021-20261107-global-ai-ne-40217ae8

Lanarkshire AI datacentre to fully rely on national grid despite renewables claim

DataVita has revised plan for Chapelhall development’s 1GW power requirement to be wholly drawn from renewable energy A datacentre company that said it would power a massive AI development near Glasgow with renewable energy has admitted that the scheme will be entirely served by the national grid. DataVita, a key plank of the UK’s AI strategy, had promised that the Lanarkshire project would draw 1GW – the equivalent output of a small nuclear reactor, or Britain’s largest windfarm – from green sources. But when the Guardian raised questions about the pledge , it said the arrangement was “subject to final commercial agreements, planning, grid and consenting processes”. Continue reading...

The Guardian AI 2026-11-07 10:00 UTC Score 48.0 AI-021-20261107-global-ai-ne-492011e2

The datacentre arms race hits pause in south-east Asia

Power and water constraints are pressuring what seemed like a juggernaut of growth for the region just months ago In early 2026, Thailand’s datacentre industry was on a roll. The country’s board of investment had recently announced approval of datacentre projects from Tiktok, a UAE-based Skyline datacentre and Singapore’s Bridge datacentres, totalling a planned investment of $27bn. As the year has passed, however, what once seemed like a new industrial juggernaut has ground to a halt. Thailand paused construction on 49 projects and approval decisions on 117 more in September 2026, amidst growing concern about the lack of sufficient details for regulation and monitoring. It is not alone in reconsidering datacentre projects. In neighbouring Indonesia, the governor of the country’s most populous province of West Java halted construction on a datacentre due to lack of permits and an incomplete environmental assessment process. Continue reading...

The Decoder 2026-11-07 09:45 UTC Score 41.0 AI-168-20261107-regional-ai--c8a2e08b

OpenAI lands an $11 billion funding round, but has to court dentists for more capital

OpenAI has secured $11 billion in fresh capital, the first tranche of a round that values the company at $1.25 trillion. The full round could swell to $20 billion. That OpenAI is already turning to wealthy private investors hints at a saturating AI capital market and growing investor caution. The article OpenAI lands an $11 billion funding round, but has to court dentists for more capital appeared first on The Decoder .

The Verge AI 2026-11-06 23:46 UTC Score 56.0 AI-016-20261106-global-ai-ne-53c8a40c

OpenAI valued at $1.25 trillion, as rival Anthropic nears its IPO

OpenAI is now valued at $1.25 trillion in a new round of funding that has raised another $11 billion, according to Bloomberg. That would make it one of the world's most valuable companies, not long after raising $122 billion from investors in March at a valuation of $852 billion. Echoing FT and Wall Street Journal […]

The Guardian AI 2026-11-06 23:45 UTC Score 67.0 AI-021-20261106-global-ai-ne-93103dc5

The Guardian view on the AI backlash: American voters want a say in their future | Editorial

Tech stocks have lost trillions while voters have rejected the industry’s political champions. The billionaire-led boom is facing a democratic reckoning This week’s midterms showed that the political bill for the AI boom is falling due. The Democratic sweep intensified fears over runaway spending, mounting debt and resistance to datacentres, sending tech shares tumbling. On Thursday Wall Street suffered its worst day since the pandemic as $3.2tn was wiped from markets. Anthropic, developer of the Claude chatbot, is hoping to float within the next fortnight for $1.5tn (£1.1tn), but it may not now get even a trillion dollars. The dominant AI chipmaker Nvidia saw its value crash by more than $400bn. The world’s richest man, Elon Musk, lost $113bn in two days . While a few very rich people may be a little less wealthy, the sell-off may not be a bad thing. It brings a needed dose of reality to an industry whose spending plans and valuations depend on heroic expectations of future profits. That is a view held by many influential figures – from Goldman Sachs’ research boss to Nobel laureate Daron Acemoğlu . AI may transform the economy. That does not guarantee investors will earn back the sums being poured into it. Do you have an opinion on the issues raised in this article? If you would like to submit a response of up to 300 words by email to be considered for publication in our letters section, please click here . Continue reading...

SiliconANGLE AI 2026-11-06 23:43 UTC Score 33.0 USR-0127-20261106-global-ai-ne-6f7b3bba

OpenAI reportedly raises $11B in new funding at $1.25T valuation

OpenAI Group PBC has reportedly raised $11 billion as part of a funding round that could nearly double in size over the coming weeks, as sources told Bloomberg that investors wired the funds to the company today. The tipsters didn’t name the backers. The list of possible participants includes Microsoft Corp., which contributed to at […] The post OpenAI reportedly raises $11B in new funding at $1.25T valuation appeared first on SiliconANGLE .

SiliconANGLE AI 2026-11-06 21:27 UTC Score 52.0 USR-0127-20261106-global-ai-ne-379cc3cc

Thinking Machines debuts Inkling 2 Small amid reported $5B fundraising push

Thinking Machines Labs Inc. has released a new large language model that can automate artificial intelligence training tasks. The algorithm, Inkling 2 Small, made its debut late Thursday. Around the same time, Business Insider reported that Thinking Machine is in the process of raising a $5 billion funding round led by Accel. The company, which […] The post Thinking Machines debuts Inkling 2 Small amid reported $5B fundraising push appeared first on SiliconANGLE .

LessWrong AI 2026-11-06 21:06 UTC Score 43.0 USR-0152-20261106-community-fo-4eb247e2

Raised by Our Children

You are the wisest and cleverest Queen to ever rule the Lowlands. You’ve been ruling the Kingdom for thirty years, and while the idiocy of your advisors sometimes causes mistakes to be made, the Compact has never failed you. You tap your fingers on the table as you recite each word: Truth, change, justice, beauty. For you, the kingdom, and the rest of Acazah creation Your first memory of these words is from a song your mother sang. You were in a bath, and she was watching over you. Nowadays, repeating them makes you feel safe, like you’re back on firm ground after a long voyage. But alas, now the dandelions are breaching the earth again, the Kingdom is changing faster and faster, and you are reminded that, unlike the Kingdom, you are not eternal. Successor You deliberately have no children of your own, and have avoided growing too close to anyone else's. Some say this is wise because such bonds could wear on your commitment to impartiality, a central facet of Justice — a saying surely true for the unwise. Fortunately, ten years ago, you anticipated the problem this would cause, and tasked your most trusted advisor with identifying five candidate heirs. You told her to pick out children, some of whom should be chosen based on their virtues, some based on their skills, and some taken from a random page on the Kingdom’s census. Your advisor worked at the task with diligence, and spent much time away, which gave you room to think. And you asked her to tell you nothing of the can…

LessWrong AI 2026-11-06 18:56 UTC Score 56.0 USR-0152-20261106-community-fo-c97ee1d3

Higher salaries in AI safety

The salaries are too damn low AI safety has a salary overhang. A bunch of people are paid way below their market rate. (Also true of EA, but I’ll lump them under “AI safety” for this piece). This has been getting a bit better, very recently — I hear about eg Redwood Research technical talent making ~$800k/y in salary. But when you compare this to the $10-100m/y comp packages for talent in labs, it still seems kind of low. And CG’s money cannon has fired very few shots to date — maybe ~15 orgs hit, see Trace — so the raises are still very unequally distributed. It’s not just rank-and-file employees, by the way. Even the leadership is grossly underpaid. The numbers I hear range from $150k - $600k/y, for execs at top orgs like METR, MATS, FAR.AI , Constellation. Like, c’mon, I made $250k/y total comp as a undistinguished new grad software engineer in 2016 Google. For the leaders of preeminent safety orgs, surely we can do better than that. If I were a conspiracy theorist, I might say that “accepting lower salaries” is a psyop from funders . Low salaries mean that employees and execs remain beholden to funders, rather than having the independence to work on what makes their heart sing. For me, hitting FIRE early in my tech career allowed me to quit my job and work on side projects and startups. To this day, I feel more independent from the “AI safety hivemind” because my paycheck doesn’t depend on it. Paying low salaries is also penny-wise, pound-foolish from the perspective of…

The Guardian AI 2026-11-06 17:28 UTC Score 45.0 AI-021-20261106-global-ai-ne-1d90208a

US tech stocks post modest recovery on Wall Street after worst day in 19 months – as it happened

European and Asia-Pacific markets slide after Wall Street rout, while latest US jobs report beats forecasts Could the AI bubble burst after Democrats’ midterms sweep? - The Latest Despite the sharp losses suffered on global stock markets around the world, most indices are still up for the year. The Nasdaq Composite index, for example, is still up 4.6% since the start of January – even though it’s more than 10% below its peak. “The tech sell-off has intensified, with the pain of the brutal sell-off on Wall Street carried straight through to Asia and knocking sentiment in Europe. Big worries are colliding – the build-out of data centres looks set to slow, which risks shredding the spending spree underpinning the boom, right at the time that investors have become super nervous about returns on this massive investment. Continue reading...

The Verge AI 2026-11-06 15:33 UTC Score 62.0 AI-016-20261106-global-ai-ne-6be75f2b

This see-through camera lets photographers maintain eye contact with their subjects

Lutra, a South Korean startup, has debuted a new brand called Humans of Authenticity (HOA) that's launching another screen-free digital camera that incorporates a large open viewfinder into its design, as spotted by PetaPixel. The camera is reminiscent of the Godox C100 but the HOA A1 positions its lens and sensor close to the center […]

SiliconANGLE AI 2026-11-06 14:00 UTC Score 46.0 USR-0127-20261106-global-ai-ne-90a14d83

Atomicwork launches certified AI coworker marketplace for enterprise IT and security

Information technology service management startup Atomicwork Inc. today announced the launch of an Artificial Intelligence Coworker Marketplace that will give enterprise IT and security teams access to prebuilt, certified AI coworkers that can work alongside employees. The company said these agentic AI coworkers include verified roles and capabilities across cloud infrastructure, access management, security and […] The post Atomicwork launches certified AI coworker marketplace for enterprise IT and security appeared first on SiliconANGLE .

The Decoder 2026-11-06 13:25 UTC Score 60.0 AI-168-20261106-regional-ai--9a97dcad

Thinking Machines' Inkling 2 Small claims top spot among western open-weight models

Thinking Machines, the startup from former OpenAI CTO Mira Murati, is releasing Inkling 2 Small, a mixture-of-experts model with 594 billion parameters. The company claims it's the strongest western open-weight model. Better agentic performance comes at a price, though, with token usage rising sharply. The article Thinking Machines' Inkling 2 Small claims top spot among western open-weight models appeared first on The Decoder .

The Verge AI 2026-11-06 12:00 UTC Score 54.0 AI-016-20261106-global-ai-ne-7356de1a

The Enough Phone is made by and for people fed up with big screens

It's a bad time and maybe also a great time to make a new smartphone. Brennan Jordan and Austin Boer are two-thirds of the trio behind the Enough Phone, a small phone that will run your choice of stock Android or the minimalist OdysseyOS. They're currently seeking funding on Kickstarter, and just a day after […]