OpenAI valued at $1.25 trillion, as rival Anthropic nears its IPO
CEO Sam Altman said recently that OpenAI is prioritizing safety instead of going ‘guns blazing’ toward an IPO.
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Why a new report on Anthropic automating AI development is alarming researchers
AI is dramatically speeding up Anthropic’s research, even as the company calls for slowing down AI development.
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AI broke the cybersecurity world. What’s next?
Today, I’m talking with Alex Stamos, chief security officer at Cognition and longtime cybersecurity expert, about what a mess cybersecurity is right now.
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The US let Nvidia sell chips to an empty office in China
The government is approving sales of Nvidia’s AI chips to Chinese firms with ties to blacklisted companies.
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NYT Cooking’s AI assistant saved my weeknight chicken, but almost ruined my cake
I tested the new AI-powered tool on ingredient swaps, recipe scaling, and a missing Bundt pan.
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Hundreds of Artex AI hacking tools found publicly exposed to the web
Security researchers have discovered hundreds of copies of a Chinese-made AI hacking tool publicly exposed to the internet for anyone to access, potentially allowing outsiders to launch cyberattacks against unsuspecting targets.
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OpenAI reportedly raises an additional $11 billion at a $1.25 trillion valuation
OpenAI has reportedly raised $11 billion so far in a new funding round that values the AI lab at $1.25 trillion.
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Crusoe sells troubled Wyoming data center project to Google
Crusoe, an eight-year-old, Denver-based data center developer recently valued at $30.9 billion, confirmed Friday it has sold an unfinished data center project in southeastern Wyoming to Google.
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Megaspeed exec was recruited to spy on Nvidia CEO, according to US intelligence memo
A memo circulated earlier this year claimed that technology executive Alice Huang was recruited by China’s Ministry of State Security to spy on Nvidia CEO Jensen Huang, according to multiple media reports.
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After the midterms, things are looking rocky for Elon Musk and data centers
Democrats’ historic victory in this week’s midterm elections could also have a dramatic effect on the tech industry.
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Import AI 475: Swarm scaling; Google DeepMind watermarks biology; and the AI science economy
Ex-Ante evaluation: Price the risk-adjusted value of the idea via multiple agents making forecasts and stake compute credits/tokens around the proposal’s soundness and viability Brokerage & trade: Licence ideas to executors (e.g, some agents might just generate ideas, others might run laboratories) via fractional licensing.
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Import AI 476: Creativity and RSI; worse-than-China open weight models; AI goes to space
New benchmark shows how AI models lack intuitive visual reasoning:…Humanity’s Sixth Sense highlights some shortcomings of current AI systems…AI startups Elorian and Scale AI have built and released Humanity’s Sixth Sense, a benchmark that “measures how a model interprets and reasons through information a visual scene implies but doesn’t explicitly show.” Some examples of the types of task in HSS are a picture of a bookcase and being asked whether it can fit more books, or a photo of horses pulling a plough and a question of whether the chains bear the plough’s drag weight. HSS contains 522 questions that cover 288 images and 234 short video clips (totalling 17.6 hours of video). The questions fall into four categories:
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Import AI 477: In which I tell the IMF the Singularity has begun
Here’s a speech I gave on Saturday the 17th of October at the IMF meeting in Bangkok. This speech is inspired by the megatrend readers have seen me cover this year of AI beginning to operate at the frontier of human science, sometimes autonomously. While we all may quibble over the details, I think it’s evident we’re in the early stages of the singularity, and I wanted to use my privileged position of giving the Per Jacobsson lecture to try and tell the assembled audience of economists, bankers, and policymakers, that they should expect significant, rapid change in the future. In this speech, I focused primarily on how humanity can share in the benefits of AI if we exercise proper…
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Import AI 478: Math for alignment; ProgramBench; and Mirendil shows what RSI means
Tech Tales:The Magical Realism Robot Workshop for Sick Kids[2035, after the uplift]So one of the jobs that no one expected was designing cute robots for sick kids in hospitals.
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Import AI 479: Spacewar; low-latency tasks versus LLMs; Genie 4
LLMs are very bad at low-latency tasks:…Realtime-Bench says it’ll be a while till AI systems can play games or do online auctions for you…Researchers have built Realtime-Bench, “a suite of carefully curated dynamic tasks where delayed actions directly affect success”. The test helps evaluate how well modern, general-purpose AI systems can perform tasks where decisions need to be made in real-time. The benchmark consists of 50 interactive game and web tasks, split across 30 web tasks in four categories (travel, e-commerce, service, and security), and 20 game tasks (arcade, puzzle, strategy, and simulation).Who did the research: The benchmark was built by people at the University of Texas at Austin, Ohio State University, University of Illinois at Urbana-Champaign, NVIDIA, Northwestern University,…
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Cambridge scientists create a $10 chip that could put a medical lab on your wrist
A new optical sensor costing just $10 could bring laboratory-level precision to wearable health monitors, potentially allowing people to track blood glucose without needles. The technology could also transform food testing, industrial quality control, and environmental monitoring.
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MIT scientists build a tiny robot that swims using living muscle cells
A swimming robot does not necessarily need a bulky motor or powerful mechanical parts to move through water. MIT researchers have demonstrated that a single, carefully engineered layer of living muscle cells can generate enough force to propel a tiny robot forward.
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Scientists overcome a hidden obstacle to more powerful quantum computers
Silicon spin qubits could play a major role in the future of quantum computing because they can be produced using the same semiconductor manufacturing methods that make today's computer chips. However, researchers have faced a significant challenge. When multiple silicon qubits are controlled at the same time, their operations tend to become less accurate. Building practical, large quantum computers will require scientists to control many qubits simultaneously while keeping errors to a minimum.
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