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Activity on steipete/summarize
steipete opened a pull request in summarize
steipete opened a pull request in summarize
View on GitHubActivity on steipete/CodexBar
steipete opened a pull request in CodexBar
steipete opened a pull request in CodexBar
View on GitHubRT simon both of these are true: 1. frontier models are at the cusp of fully automating knowledge work 2. we are nowhere near the reliability and cost-efficiency needed for a lot of enterprise workflows it's a crazy time and I have a lot of cognitive dissonance about this. we hope this work shows just how early we are, even on a task as "simple" as document extraction. super proud of the team for pushing the frontier on synthetic data and evals on this one.
Introducing ExtractBenchPro: the most challenging benchmark for real-world document extraction. We see a massive long tail of document complexity in terms of use cases brought on from our customers, that are completely unsolved from a price-performance standpoint. These include
View quoted postBuild more personal sites with Codex
Watch on YouTubeGemini 4 Argon Is Here: How I’d Make Money With It
Watch on YouTubeActivity on steipete/ReleaseBar
steipete opened a pull request in ReleaseBar
steipete opened a pull request in ReleaseBar
View on GitHubThis is a longshot, does anyone know if there is a good teriyaki place in New York City? Only answer if you’re from the Pacific Northwest and know what good teriyaki is
Chirp Pong
Tool: Chirp Pong Another game experiment - I wanted to see if it was feasible to have a two player game on two separate phones running in static HTML where the networking code uses chirps sent via the microphone. It seems to work! Build a two player competitive pong like game where two players use their phones close to each other and the game state is sent via audio noises which the web microphone API can interpret - but add graphical and gameplay twists to make it a lot more fun and intertwine than pong Claude Opus 5.5 Extra in Claude Code. Tags: game-design, ai, generative-ai, llms, claude-code
more researchers should use @exscienceAI to review their papers
How often do ArXiv papers contain errors in the main theorems they claim to prove? Using GPT-6.1 Sol to identify such mistakes, it finds: - 6% of papers before 08/2026 contain main theorems that are false. - Only 1.5% contain similar mistakes in the last two months.
Free AI
Try Cat Jam for free on AI Gateway. 𝚜𝚝𝚎𝚊𝚕𝚝𝚑/𝚌𝚊𝚝-𝚓𝚊𝚖 • Low-latency inference • Reasoning model for coding & agentic tasks https://vercel.com/changelog/cat-jam-is-now-available-in-stealth-for-free-on-ai-gateway
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