X：Rohan Paul

Checking that a major mathematical proof is correct can take years. Formalization—converting the mathematical reasoning into a form computer proof assistants like Lean can verify—can help. Last month, Claude completed the first formalized proof of Fermat’s Last Theorem, one of the most famous theorems of all time. This was a project experts thought would take many years. It is the largest Lean proof ever written. Fermat’s Last Theorem was first proven in 1995 by Sir Andrew Wiles, more than 350 years after it was conjectured. Our proof, which totals over 13 million lines of code, provides machine verification. More importantly, it proves over 29,000 other theorems that the proof requires, across many areas of math which had never before been formalized. We see this as a major step in the long process of firming up the core of mathematical knowledge, building on work from three centuries of mathematicians and hundreds of contributors to Lean and Mathlib. We are optimistic that AI-assisted verification of mathematical proofs will help reduce the burden of refereeing mathematics in an era where more proofs are being produced than ever before. You can read about the process on our Science Blog: https://t.co/ryYnDEAU6J And see the complete proof on GitHub: https://t.co/wlYMXYnofz

WSJ reported on Trump's truthsocial post. He basically argues data centers bring lower taxes and jobs while keeping China from gaining ground in AI, a claim that collides with public resistance. Local electricity bills are becoming the political bottleneck for Trump’s national AI infrastructure push. The administration has already built around the grid-load concern into by introducing Ratepayer Protection Pledge, where major AI companies committed to supply new generation and cover grid upgrades.

GPT-6 Astra has set a new ECI record, with a score of 169. This is a substantial jump from the prior best (163), but is within our uncertainty range for the reasoning-era ECI trend. Astra also set new records on our math, continual learning, and game-puzzles benchmarks. On our long-horizon coding benchmark, MirrorCode, Astra ranks between Opus 4.7 and Fable 5. OpenAI gave us pre-release access to test Astra. Charts and more details for Astra’s individual benchmark results in the thread.

We evaluated GPT-6 Astra on WANDR. It scored 0.682 at $11.98 per task, the highest score of any model we tested. GPT-6-Astra scored 13.5% higher than Fable 5.1 at 6.1% lower cost, and 27.0% higher than Opus 5 at 3.3% higher cost. https://t.co/SyYmD38qvq

Wired: So, there was no single confirmed cause yet for today's near-simultaneous outage timing. Claude and Grok failed within four minutes, then ChatGPT and Codex followed 73 minutes later. OpenAI says a routing error caused ChatGPT and Codex problems, while SpaceXAI says its Memphis compute center went down and caused Grok's outage; Anthropic fixed Claude's problem but has not disclosed what caused it.

Full video https://t.co/4NRc0mmRxT

ChatGPT, Claude, Codex, and Grok experiencing service disruptions within the same window. OpenAI, Anthropic acknowledged elevated errors across ChatGPT, Codex, and Claude. https://t.co/5tBcIrj3dM

Will it even work. 🤔 WSJ: New York City is pausing student-facing generative AI through eighth grade. The moratorium affects nearly 600,000 students, removing student-facing generative AI from those grades, and prohibits companion chatbots across all grades. High schools take a controlled route: up to 50,000 students can join 5 teacher-supervised AI pilots, while all high schoolers receive twice-yearly AI literacy instruction. to note, New York City public schools previously imposed a temporary ban on ChatGPT soon after its rollout in 2022. The restriction was later lifted and replaced by a custom AI-powered teaching assistant, And actually, there is also strong evidence on the other side. In a 2025 randomized Harvard physics study, 194 college students using a carefully designed AI tutor had more than twice the median learning gain of students receiving an active-learning classroom lesson, while typically spending less time.