@swyx: one thing i think people dont appreciate enough about @poolsideai is their unusual degree of openness — not only have t…

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A tweet highlights PoolsideAI's unusual openness, praising their release of a small coding model, publication of papers, and full evaluation datasets, setting a standard for transparency in AI.

one thing i think people dont appreciate enough about @poolsideai is their unusual degree of openness — not only have they shipped an excellent Small model that somehow beat @thinkymachines at coding, but most people (like @eliebakouch) have been shouting out their excellent papers, but also they're among a rare few to actually expose their full eval dataset as well - beautifully published, with across 6 public benchmarks with 4 runs each and hundreds of turns per run. you can satisfy for yourself if they rewardhack. brilliant.
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one thing i think people dont appreciate enough about @poolsideai is their unusual degree of openness — not only have they shipped an excellent Small model that somehow beat @thinkymachines at coding, but most people (like @eliebakouch) have been shouting out their excellent papers, but also they’re among a rare few to actually expose their full eval dataset as well - beautifully published, with across 6 public benchmarks with 4 runs each and hundreds of turns per run. you can satisfy for yourself if they rewardhack. brilliant.

Latent.Space (@latentspacepod): Poolside’s Race to AGI: Model Factory, Laguna S, Open Models, & Beyond MCP https://t.co/s7sknnLjIN

@poolsideai co-founder and CEO @eisokant explains why coding is the path to AGI, how Poolside’s Model Factory runs 10,000–20,000 experiments a month and turns new models around in

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