- 647Shopify is moving from React Native back to Swift and Kotlin (shopify.engineering)
- 563More questions about whether researchers can trust OpenAI with unpublished math (mathstodon.xyz)
- 21The Deathray: A simple way for an untrusted site to freeze a Mac (auberon.xyz)
- 333Cognition launches new SWE-2 model, Rivaling Fable 5.1 and GPT-Astra (cognition.com)
- 67OpenAI Agents API (developers.openai.com)
- 250Don't let anyone take away your big box of cables (blog.jim-nielsen.com)
- 240NASA Color Trick Was Meant for Mars. Now It's Unveiling Rock Art on Earth (gizmodo.com)
- 108OpenAI’s Navier-Stokes release included a Lean 4 formal proof (johndcook.com)
- 133Music Theory for the 21st-Century Classroom (musictheory.pugetsound.edu)
- 42Proof of Capture: Apple Reference Image, but open source and using steganography (merybenavente.me)
- 135Forgejo <=16.0.3 Critical RCE (codeberg.org)
- 16Recursion into madness (blog.coredump.cx)
- 275Hitachi launches CO2 heat pump water heaters with solar-friendly tariff controls (pv-magazine.com)
- 18Show HN: Vertumnus – printable posters of farmers' market produce seasonality (vertumnus.fyi)
- 572Rust is tier-1 language at Microsoft (rustfoundation.org)
- 30What happens when a GPU writes memory (blog.doubleword.ai)
- 63JEP 544: Ahead-of-Time Code Compilation (openjdk.org)
- 186Neki (planetscale.com)
- 27Bodily Oddities (vester.si)
- 138Silicon Valley is transforming the military-industrial complex? (costsofwar.watson.brown.edu)
- 60Detecting and countering misuse of AI: September 2026 (anthropic.com)
- 124Douglas Hofstadter: Analogy as the Core of Cognition [video] (youtube.com)
- 1403iPhone Duo (apple.com)
- 113Creativity is the new moat (inventbuild.studio)
- 334What algorithm did Windows XP use to choose your initial user picture? (devblogs.microsoft.com)
- 51Cognition's SWE-2 achieves 92.8 on Terminal-Bench 2.1 (tokenstead.ai)
- 342List of references on Sony websites to players "owning" their digital games (consumerrights.wiki)
- 260Stockfish 19 (stockfishchess.org)
- 107Compute-efficient pretraining and scaling to trillion-parameter models (magic.dev)
- 77Schemy Lisp En DOS (sled.neocities.org)