▲ 318 r/france

U.S. Spacewalk 97: Sortie dans l'espace de Sophie Adenot: Première Française à effectuer une sortie dans l'espace

u/Nunki08 — 2 days ago
▲ 350 r/france

Il va beaucoup pleuvoir les deux prochaines semaines

u/Nunki08 — 3 days ago

"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

u/Nunki08 — 10 days ago

Planned Amazon data center could become the biggest climate polluter in the U.S.

TechCrunch: https://techcrunch.com/2026/08/08/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."

u/Nunki08 — 12 days ago
▲ 95 r/math

Leonardo 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.

reddit.com
u/Nunki08 — 19 days ago