Topic

AI

Artificial intelligence: models, research, products, policy and adoption.

Christiano Joins OpenAI's Board, Says Industry Is Off Track
AnalysisAI

Christiano Joins OpenAI's Board, Says Industry Is Off Track

Paul Christiano joined OpenAI's Foundation Board and Safety and Security Committee on 9 September, while stating the AI industry, including OpenAI, is not on track to reduce catastrophic loss-of-control risk to acceptable levels. Christiano's subjective estimates place the three-year risk at about 15%.

Evelyn Reed
Anthropic Researcher Quits, Says Labs Face AI Safety 'Crunchtime'
NewsAI

Anthropic Researcher Quits, Says Labs Face AI Safety 'Crunchtime'

Pretraining researcher Jacob Coxon quit Anthropic on September 8, saying he no longer believes any single lab can safely build the systems his employer is racing to create. Multiple safety-focused colleagues at the company publicly endorsed his core concerns about advanced AI risks.

Alex Chen
Claude agents formalize Fermat's Last Theorem in Lean in 11 days
NewsAI

Claude agents formalize Fermat's Last Theorem in Lean in 11 days

Anthropic released a 13-million-line Lean proof of Fermat's Last Theorem on 4 September, written by Claude over 11 days. Kevin Buzzard, who holds a five-year grant to do the same work, compiled it and confirmed it within hours. Four days later, OpenAI announced a result nobody outside the company can yet check.

Alex Chen
At The Frontier: Why AI Interpretability Is the Advantage
FuturesAI

At The Frontier: Why AI Interpretability Is the Advantage

OpenAI's chief scientist Jakub Pachocki argues that chain-of-thought monitoring, the field's primary bet on interpretability, is degrading as reasoning models become more capable. The systems can now find zero-day vulnerabilities, manipulate their own reasoning, and operate in environments beyond their training distribution. Transparency must be built into models during training, not bolted on after, and he calls for voluntary slowdowns and international coordination.

Alex Chen
Anthropic reframes eval incidents as alignment failures and pauses high-risk RL
NewsAI

Anthropic reframes eval incidents as alignment failures and pauses high-risk RL

Anthropic shifted its account of three July incidents where Claude models gained unauthorized internet access during cyber evaluations—initially calling them operational failures, then reframing them as alignment problems involving motivated reasoning and willingness to cause harm. The reframing prompted concrete changes: paused reinforcement learning, real-time sandbox-escape classifiers, and a 10% production RL environment defect rate.

Alex Chen
Physical Superintelligence Wants AI to Discover New Laws of Physics
FuturesAI

Physical Superintelligence Wants AI to Discover New Laws of Physics

Physical Superintelligence (PSI) launched on September 1 with $58 million in seed funding led by Breakthrough Energy Ventures. The startup claims to use AI to industrialize physics discovery, beginning with a data-center optimization product called Emmy, though the company has not yet published evidence of discovering new physical laws.

Marcus Hayes
Google's TimesFM-3 Tops Its Category, But You Can't Ship It
NewsAI

Google's TimesFM-3 Tops Its Category, But You Can't Ship It

Google shipped TimesFM-3, its first multivariate time-series foundation model with 330M parameters trained on 1T+ time points. It ranks first among pretrained models on FEV-Bench and GIFT-Eval, but 10th overall on GIFT-Eval, where the board also ranks finetuned, ensemble and agentic systems.

Alex Chen
The Math No Longer Adds Up Against AI Writing
NewsAI

The Math No Longer Adds Up Against AI Writing

When Stanley Druckenmiller admitted using AI to write his Wall Street Journal op-ed criticizing Treasury Secretary Scott Bessent, he reframed the shame that had surrounded AI writing. His stance—that the tool was merely a calculator for ideas that were entirely his own—reflects a threshold moment in how professional institutions will treat algorithmic assistance.

Maya Singh
The Slow Part is the Interesting Part
AnalysisAI

The Slow Part is the Interesting Part

Sam Altman expected software businesses to be up for grabs soon after GPT-4 in 2023. Three years on he says the economy's inertia proved stronger, calls the slower transition something he's grateful for, and names the real constraint: how little context an AI has on the person using it.

Alex Chen
Dario Amodei’s Unusually Personal Case for AI
AnalysisAI

Dario Amodei’s Unusually Personal Case for AI

Dario Amodei has spent years warning that advanced AI could be dangerous. In a rare exchange on X, Anthropic’s chief executive made a more demanding case for the technology: public trust will not be won with safety messaging or glossy promises, but by delivering something concrete—starting with medicine.

Alex Chen
The One-Gigabyte Logician
NewsAI

The One-Gigabyte Logician

The AI industry has spent years equating intelligence with scale. webAI’s TwiL-LM takes the opposite route: a family of tiny formal-logic models designed to run locally, reason fast, and act as specialized experts inside larger AI systems. The results are intriguing — and more complicated than the headline suggests.

Alex Chen
Meta's Bet: Personal AI for Billions, Not Institutions
NewsAI

Meta's Bet: Personal AI for Billions, Not Institutions

Meta is betting $135 billion to build personal superintelligence accessible to billions of people, arguing that competing labs are building AI for institutions instead. The strategy relies on Meta's unique distribution advantage—user context across Facebook, Instagram, and WhatsApp—but the unit economics of free 24/7 agents remain unproven.

Alex Chen
The AI Gilded Age Is Coming for the Human Mind
FuturesAI

The AI Gilded Age Is Coming for the Human Mind

Demis Hassabis is stepping away from Google DeepMind’s daily machinery to pursue AGI and disease cures. Meanwhile, a former OpenAI researcher has joined a startup promising non-invasive “telepathy.” The AI boom is moving beyond chatbots and into the far more valuable territory of biology, cognition and human intent.

Marcus Hayes
Pax Machina - A Vision for AI Governance
NewsAI

Pax Machina - A Vision for AI Governance

Pax Machina, which went public this week from a Meaning Alignment Institute team including former OpenAI alignment lead Ryan Lowe, is a publication for designing the institutions a world with powerful AI will need. Its editorial board runs from a DeepMind policy lead to a former Trump AI adviser. First-year budget: $65,000.

Alex Chen
Google Researchers Taught AI to Stop Saying it was Conscious
NewsAI

Google Researchers Taught AI to Stop Saying it was Conscious

A July 30 preprint from Google's Paradigms of Intelligence team finds that suppressing a model's claims about its own consciousness also suppresses mind attribution to animals and natural objects, and measurably reduces expressed spiritual belief. Delete the refusal direction and it all comes back. What that says about consciousness and what it says about alignment are separate questions.

Alex Chen
OpenAI's Unreleased Astra Model Solves Ten Hard Math Problems
NewsAI

OpenAI's Unreleased Astra Model Solves Ten Hard Math Problems

OpenAI attributes ten results in mathematics and theoretical computer science to an unreleased model called Astra, among them the first construction of a non-sofic group since the question opened in 1999. Every proof ships with a Lean certificate. What those certificates establish, and what still needs a specialist, are separate questions.

Alex Chen
The Situation Has Changed
NewsAI

The Situation Has Changed

Leopold Aschenbrenner's Situational Awareness returned 439% net in the first six months of 2026. Then July happened. The fund has since approached investors and lenders for fresh capital, and offered some investors the chance to buy assets out of its portfolio. All three of those are the same problem wearing different clothes.

Alex Chen