AI Watch
Sam Altman, CEO of OpenAI, takes his seat before a meeting of the White House Task Force on Artificial Intelligence Education in the East Room of the White House, Thursday, Sept. 4, 2025, in Washington.Alex Brandon/AP
Sam Altman suggested that an investigative story describing him as someone “unconstrained by truth” with a “sociopathic lack of concern” for consequences caused an early Friday attack on his San Francisco home.
Algorithms Now Discover And Write Scientific Papers Autonomously Quantum Zeitgeist
from news.google.com
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And so it happened, my first real-world AI vibe coding horror story, one that affected me personally. –> Deutsche version
I went to a medical appointment and was greeted by a friendly person. Shortly after the warm welcome, they mentioned watching a video explaining how easy it is for anyone to build software with AI these days. That sparked an idea: why use an industry-proven solution when you could just build your own patient management system?
So they did exactly that. They fired up a coding agent, built a custom patient management application, imported all their existing patient data into it, and published it to the internet. They even added a feature to record conversations during appointments and send the audio to not one, but two AI services for automatic summaries. No more manual note-taking.
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Today we’re bringing people together in Washington D.C. to discuss how AI will impact the economy and jobs. At our inaugural AI for the Economy Forum, co-hosted with MIT FutureTech, we’re starting with a simple premise: neither the benefits nor the risks are automatic or guaranteed. How AI impacts our lives, jobs and economy is something we as a society can shape – and fully realizing AI’s economic potential will require a new era of partnership between companies, workers, governments, researchers and more. At the forum, economists, industry leaders, policymakers and experts will gather to share information, identify gaps in current understanding, and lay the foundation for ongoing collaboration.
Google has a long-standing commitment to helping positively shape this transition. Today, we’re building on that commitment in two critical ways. First, we are making new investments in research to ensure governments, companies, researchers, and civil society have the information required to make smart decisions. Second, we are providing training opportunities to equip people with the skills needed to navigate a changing economy.
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Listing consumer electronics on the internet’s large ecommerce marketplaces is a key step in “democratizing” the products, allowing them to be purchased by anyone with just a click. It has happened to cars (in the United States, you can buy a Hyundai on Amazon), and now it’s happening to humanoid robots.
The Chinese manufacturer Unitree Robotics, among the most active robot-makers in the field, is preparing to bring its most affordable model, the Unitree R1, to international markets through Alibaba Group’s marketplace. According to reports in The South China Morning Post, the rollout will initially cover North America, Japan, Singapore, and Europe. There’s no exact on-sale date for the robots yet, but the Post report says it will show up as soon as this week.
This is not the first time Unitree has used AliExpress as a global storefront. The company’s G1 model, the more powerful and more expensive predecessor to the R1, is already listed at just under $19,000.
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The man accused of throwing a Molotov cocktail at OpenAI CEO Sam Altman’s home has been charged with attempting to kill Altman and a security guard at the residence, San Francisco district attorney Brooke Jenkins said Monday.
Authorities allege Daniel Moreno-Gama, 20, threw the incendiary device about 4 a.m. local time Friday, setting an exterior gate at Altman’s home alight before fleeing on foot, police said. Less than an hour later, Moreno-Gama allegedly went to OpenAI’s headquarters a few kilometres away and reportedly threatened to burn down the building.
Moreno-Gama is opposed to artificial intelligence, writing about AI’s purported risk to humanity and “our impending extinction,” according to court documents.
“This was not spontaneous. This was planned, targeted and extremely serious,” said Matt Cobo, FBI San Francisco acting special agent in charge, during a news conference.
Agentic coding at enterprise scale demands spec-driven development– venturebeat.com
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Autonomous agents are compressing software delivery timelines from weeks to days. The enterprises that scale agents safely will be the ones that build using spec-driven development.
There’s a moment in every technology shift where the early adopters stop being outliers and start being the baseline. We’re at that moment in software development, and most teams don’t realize it yet.
A year ago, vibe coding went viral. Non-developers and junior developers discovered they could build beyond their abilities with AI. It lowered the floor. It made prototyping much quicker, but it also introduced a surplus of slop. What the industry then needed was something that raised the ceiling — something that improved code quality and worked the way the most expert developers work. Spec-driven development did that. It laid the foundation for trustworthy autonomous coding agents.
A Deep Neural Network Approach for Random Networks with Sparse Nodal Attributes and Complex Nodal Heterogeneity– arxiv.org
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arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Why opinion on AI is so divided– www.technologyreview.com
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In an industry that doesn’t stand still, Stanford’s AI Index, an annual roundup of key results and trends, is a chance to take a breath. (It’s a marathon, not a sprint, after all.)
This year’s report, which dropped today, is full of striking stats. A lot of the value comes from having numbers to back up gut feelings you might already have, such as the sense that the US is gunning harder for AI than everyone else: It hosts 5,427 data centers (and counting). That’s more than 10 times as many as any other country.
There’s also a reminder that the hardware supply chain the AI industry relies on has some major choke points. Here’s perhaps the most remarkable fact: “A single company, TSMC, fabricates almost every leading AI chip, making the global AI hardware supply chain dependent on one foundry in Taiwan.” One foundry! That’s just wild.
Weapons of Mass Automation: AI can make war more lethal than nuclear weapons. How US, Russia, China, India and others are preparing – WION– news.google.com
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Weapons of Mass Automation: AI can make war more lethal than nuclear weapons. How US, Russia, China, India and others are preparing WION
If you’re following AI news, you’re probably getting whiplash. AI is a gold rush. AI is a bubble. AI is taking your job. AI can’t even read a clock. The 2026 AI Index from Stanford University’s Institute for Human-Centered Artificial Intelligence, AI’s annual report card, comes out today and cuts through some of that noise.
Despite predictions that AI development may hit a wall, the report says that the top models just keep getting better. People are adopting AI faster than they picked up the personal computer or the internet. AI companies are generating revenue faster than companies in any previous technology boom, but they’re also spending hundreds of billions of dollars on data centers and chips. The benchmarks designed to measure AI, the policies meant to govern it, and the job market are struggling to keep up. AI is sprinting, and the rest of us are trying to find our shoes.
All that speed comes at a cost. AI data centers around the world can now draw 29.6 gigawatts of power, enough to run the entire state of New York at peak demand. Annual water use from running OpenAI’s GPT-4o alone may exceed the drinking water needs of 12 million people. At the same time, the supply chain for chips is alarmingly fragile. The US hosts most of the world’s AI data centers, and one company in Taiwan, TSMC, fabricates almost every leading AI chip.
The AI build-out is powering global goods trade Financial Times
from news.google.com
OpenAI CEO Sam Altman’s San Francisco home was allegedly targeted for the second time in two days – and cops have made two arrests.
A Honda car had been near Altman’s $27 million Russian Hill mansion early Sunday morning – before pulling up outside and a shot was fired from the vehicle’s passenger window, the San Francisco Standard reported.
Decentralized AI models take over healthcare systems Devdiscourse
from news.google.com
Apple is finally stepping into the smart glasses space. For this, the company is asking an important question: Would you actually wear these outside? This is the most important thing, because this is where most smart glasses have historically fallen apart. Rather than locking itself into a single, safe design, Apple is reportedly exploring multiple frame styles for its first pair of AI glasses. And not minor tweaks either — we’re talking distinctly different silhouettes.
There’s a bold, chunky rectangular option that leans into classic sunglasses territory. Then a slimmer, more understated rectangular design that feels a bit more executive-core. On the other end, Apple is also experimenting with rounded frames, both oversized and more refined — clearly trying to cover as many style preferences as possible. In short, Apple is designing a small collection, and that’s a smart move. Because what works for one face can look wildly off on another.
The first thing you learn about a loom is that it’s easy to break.
The shuttle runs along a track that warps with humidity. The heddles hang from cords that fray. The reed is a row of thin metal strips, bent by hand, that bend back just as easily. The warp beam cracks if you over-tighten it. The treadles loosen at the joints. The breast beam, the cloth roller, the ratchet and pawl, the lease sticks, the castle; the whole contraption is wood and string held together by tension. It’s a piece of ingenuity and craftsmanship, but one as delicate as the clothes it manifests out of wild plant fibers. It is, also, the foundational tool of an entire industry, textiles, that has kept its relevance to our days of heavy machinery, factories, energy facilities, and datacenters.
The AI Revolution in Math Has Arrived – Quanta Magazine
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Elon Musk’s xAI faces lawsuit over Mississippi power plant tied to AI data centers The Times of India
from news.google.com
Modern electronics power everything from smartphones to satellites, but they all share a major limitation. Heat. Once temperatures climb above roughly 200 degrees Celsius, most devices begin to break down. For decades, this thermal barrier has been one of the toughest challenges in engineering.
Researchers at the University of Southern California now believe they have found a way past that limit.
The Wall Street Journal, which famously floats trial balloons for corporate behemoths, is carrying water for the poor AI companies who are so, so disliked:
OpenAI this week published a populist wish list of policy proposals that zero in on worries like job replacement and wealth concentration, floating such ideas as a four-day workweek and an AI-invested public-wealth fund distributed to citizens.
Those proposals come as its rival Anthropic has been signing partnerships and building tools for such sectors as consulting and software, where share prices have been whacked by investor worries that they will be replaced by AI. Anthropic’s efforts have helped push back up shares of tech companies including LegalZoom.com LZ 3.84%increase; green up pointing triangle.
Anthropic and OpenAI are each pursuing ventures to help private equity, a big owner of companies in sectors ripe for disruption, with AI transformation. (Those efforts could also yield lucrative new business customers.)