Starship reached orbit for the first time on Monday. One of my favorite potential use cases is launching the next generation of space telescopes faster and with far fewer constraints. Today, engineers designing the largest space telescopes face extreme mass and volume limits that forces them to make telescopes lighter, foldable, and dependent on incredibly intricate deployment mechanisms, adding years of engineering complexity and increasing the risk of failure. Starship changes that tradeoff. Thanks to its massive payload capacity and volume, telescope builders could "convert risk into mass": build heavier, simpler observatories instead of optimizing every component around launch constraints. That could accelerate the next generation of space telescopes, and astrophysics research, by decades!

Rust is a good prompt compilation target for the moment, but so is C++. And soon assembler. Then microcode. Myopic to think we're going to stop the agentic drill bit until it reaches computing bedrock.

Lean Pool is the largest curated repository of formalized mathematics. The human-written part of the paper consists of a single page, because I believe it's enough to convey the main idea. Paper: huggingface.co/papers/2609.2… Repo: github.com/Vilin97/lean-pool

We have discovered a massive, ongoing criminal exploitation campaign using Cairn, an autonomous penetration-testing harness, and other AI agents to target hundreds of organizations and successfully breach and impact tens of them (at least). The image below shows just a few days of activity, with up to 25 organizations being attacked simultaneously at the peak. our intreim report: gambit.security/blog-posts/a…

Proposal for American high schools: Replace geometry and trigonometry with economics and statistics.

The Ultimate Top 500 Open Problems in Mathematics proofatlas.ai/open-problems/ Weeks of work by 4 LLM families (GPT 6, Fable 5.1, GLM-5.3, DeepSeek V4 Pro). 34,890 pairwise judgments across 1,227 candidate problems. They ran repeated discovery rounds, source checks, deduplication, and clarification of exact problem statements. Models compared problems using source-backed descriptions without seeing the existing rankings or other models' judgments. The comparisons considered the significance of a resolution, centrality to the field, connections across disciplines, scholarly and public recognition, and potential scientific or practical impact. Results were statistically combined and checked for ranking uncertainty and sensitivity to individual model families. Includes theoretical computer science, and mathematical physics. The list includes plain-language explanations, sources, notes on what remains open, and links to related research where available. Where the targets of recent AI results would rank if they were still open: #21 — Smooth-forced Navier–Stokes breakdown (Fefferman C). #32 — Unforced three-dimensional Euler blowup. #92 — The Jacobian conjecture in general dimension. #167 — Whether every group is sofic. #211 — The planar unit-distance conjecture. Note that the recently announced Navier–Stokes result concerns flow driven by a smooth external force. #4 entry is unforced three-dimensional Navier–Stokes global regularity (Fefferman's statement A), which remains open. Showing that a forced flow can develop a singularity does not settle whether singularities can arise without external forcing.

So I’m going to run out of tokens for both Astra and Fable and Tibo doesn’t want to sell me a second sub. What product should I try when my tokens run out? Looking for an app+subagent experience. ChatGPT suggests these three: