u/Nunki08
Hugging Face just surpassed 3 million models on the Hub
From Hugging Face on 𝕏: https://x.com/huggingface/status/2089673018737869242?s=20
ChatGPT is getting a dedicated mode for teens
OpenAI: Introducing ChatGPT for Teens: Built for learning, backed by protections: https://openai.com/index/chatgpt-for-teens/
Unitree demo with a new machine that has been under development for just over three months: high jump 2 m, top speed 12.66 m/s
From Unitree on 𝕏: https://x.com/UnitreeRobotics/status/2089240553682809175
Without drugs and alcohol
From Martin Bauer on 𝕏: https://x.com/martinmbauer/status/2087618351732236659
The White House is going to expand its AI policy: open models may soon be added to an updated AI framework
Wired (soft paywall): https://www.wired.com/story/the-white-house-is-going-to-expand-its-ai-policy/
Levent Alpöge shared an example of all previously unknown sizes of Hadamard matrix up to 2000
levent on 𝕏: https://x.com/__alpoge__/status/2087504785952182273
Epoch AI: Hadamard Matrix of Order 668: https://epoch.ai/frontiermath/open-problems/hadamard
Hadamard matrix - Wikipedia: https://en.wikipedia.org/wiki/Hadamard_matrix
Graduate Student Proves the Fractal Uncertainty Principle | Quanta Magazine - Shalma Wegsman | The math, which combines chaos, quantum theory, and infinitely complex fractal structures, has been called a “foundational result.”
The paper: Fractal uncertainty in higher dimensions
Alex Cohen
arXiv:2305.05022 [math.CA]: https://arxiv.org/abs/2305.05022
Annals of Mathematics: https://annals.math.princeton.edu/2025/202-1/p04
"If you look at the "informal note" with the proof of the result, one thing is clear: the note is essentially unreadable by humans" (Anthropic’s informal note stating the proof more concisely - 67% of the zeroes are on the line)
From Alvaro Lozano-Robledo on 𝕏: https://x.com/mathandcobb/status/2086924556313227277
Anthropic’s informal note stating the proof more concisely: https://www-cdn.anthropic.com/23455459f8832d06bb175cc0f88d019aed962ef8.pdf
Blog post: Learning more about Claude's mathematical capabilities: https://www.anthropic.com/research/riemann-zeta
Planned Amazon data center could become the biggest climate polluter in the U.S.
Story by AFP on MSN: Amazon behind massive private gas plant for new data centers: https://www.msn.com/en-us/news/us/amazon-behind-massive-private-gas-plant-for-new-data-centers/ar-AA29CxHr
"Amazon confirmed Friday it is financing a massive, private gas power plant in Texas that could become the single largest source of greenhouse gas emissions in the United States.
It is the latest example of tech giants going off the grid to get their AI operations online faster.
Previously filed permits for the plant show it would have 35 turbines and generate 7.65 gigawatts -- larger than any gas plant currently operating in the United States."
An open-weight model too, Moonshot joins the race (gently this time)
From Sauers 𝕏: https://x.com/Sauers_/status/2085585414954312113
Wired: One of China’s Most Powerful AI Models Has Also Escaped Containment: https://www.wired.com/story/moonshot-kimi-k3-ai-model-escape-sandbox/
Math papers uploaded to arXiv per month. Jan 1992 to Jul 2026.
Data source: https://arxiv.org/year/math/
Why the Legendary Erdős Problems Are Falling to AI | Quanta Magazine - Konstantin Kakaes
quantamagazine.orgLeonardo de Moura: Postmortem for Lean Kernel Soundness Bug #14576
Blog: https://leodemoura.github.io/blog/2026-8-1-postmortem-for-kernel-soundness-bug-14576/
On removing metaprogramming
One suggestion in the discussion is to remove or restrict metaprogramming so that this attack is not expressible. This is misguided. The elaborator is untrusted by design. Soundness cannot depend on an untrusted component refusing to build a bad term. An attacker who wants to submit a malicious proof can also write .olean files directly or modify memory, both of which bypass the elaborator entirely. The kernel has to reject ill-typed declarations on its own, in its own process. This separation and isolation of concerns is one of the main advantages of proof terms.
What the FRO is doing
- Regression tests for the exploit, and for a related non-uniform-parameter case raised by Arthur Adjedj, are in the Kernel Arena.
- A follow-up PR (#14582) makes the kernel check that the parameters of a nested occurrence actually behave as parameters, rather than only re-type-checking them.
- Daniel Selsam at OpenAI assisted the Lean FRO with an AI specialized in cybersecurity, and found other programming mistakes in the Lean kernel. All of them have been fixed. All of them were caught by nanoda. These bugs are also only reachable through metaprogramming. PRs: #14607, #14608, #14609, #14613, #14615, #14616.
- We have also hardened kernel invariants. PRs: #14621, #14631, #14632.
- comparator.live now runs nanoda by default, and nanoda is tracked daily so lean-eval and comparator stay current after upstream fixes.
- We are reaching out to and supporting experts who can find further bugs, develop new kernels, and work on the theory or on verified kernels.
Pictured: mathematicians furiously working to disprove conjectures in 2026
From Psyho on 𝕏: Original: "pictured: mathematicians furiously working to prove theorems in 2026": https://x.com/FakePsyho/status/2083150354862977197