An open-source tool now finishes in seconds what demands academic professionals hours. Feynman is a collective reasoning toolset that launches directly via your CLI. Input a question. It parses datasets, aggregates data, confirms all citations, and outputs a highly
CODE
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Build macOS apps with Codex plugin tool
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Build macOS apps with our Codex plugin: Thomas Ricouard (@Dimillian) x.com/i/article/204150862780… — https://nitter.net/Dimillian/status/2041948910512652313#m
→ View original post on X — @ceobillionaire, 2026-04-09 22:30 UTC
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Meta’s Muse Spark: Beyond Image-to-Code to Logic Inference
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— AI at Meta (@AIatMeta) 9 avril 2026
5/ nitter.net/Nain1sh/status/2041977… Nainish Rai (@Nain1sh) That clip is the part most people will underestimate. Image-to-code was already impressive What Meta’s Muse Spark seems to be doing is one level higher: it’s not just recreating pixels, it’s inferring product logic. I gave it a calendar screenshot and I am blown — https://nitter.net/Nain1sh/status/2041977532535468468#m
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Frontier models improve in coding and creativity in sync
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And all the evidence is is that is that models are getting better all this other stuff at the same time as they are improving in coding. More recent models are more creative, for example. Still plenty of jaggedness, but the frontier moves more in synch than we might expect
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TypeScript Performance: Simplifying Build Without Native Dependencies
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TS felt simpler if we could make it fast — no napi, no native builds, no per platform vendoring
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AI is jagged but also surprisingly general across domains
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AI is jagged, but I think sometimes it is easy to overly focus on that. The generalness is a surprise too! LLMs may be optimized for verifiable fields like coding, but AI is also not bad at corporate strategy & medical advice & writing a sestina & expressing empathy & ideation.
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Performance optimization strategies for file search systems
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The wins came from three places: 1. Pre-computing upfront in a clever way that doesn't block the main thread
2. Avoiding NAPI overhead for small result sets
3. Iteratively asking Claude to find perf improvements for faster file search -
Claude Code v2.1.85 Faster Mentions Feature Released
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Enjoy faster @-mentions in Claude Code! This went out in v2.1.85.
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Claude Code introduces fileSuggestion setting for large codebases
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But in big codebases, it would fall over. So we introduced a new fileSuggestion setting in Claude Code, so customers with large codebases could plug in their custom code index (using SourceGraph, an in-house index, etc.). https://
code.claude.com/docs/en/settin
gs#file-suggestion-settings
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