10 years of working on @raais and our ai community tomorrow is the day!
@nathanbenaich
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FineWeb creators tackle robotics data bottleneck with Airstreet funding
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The FineWeb team turned the open web into the datasets that trained many of the field's LLMs. Now @gui_penedo and @HKydlicek are doing the same for robotics, where data is the bottleneck everyone agrees on and nobody has solved. @airstreet led the round and we're now live!
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Search across previous Claude sessions is not good.
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search across previous claude sessions is not good.
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Voice agents rely on speech-to-text; ElevenLabs at RAIS 2026
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voice agents are only as good as what they hear. @angelos_peri leads speech-to-text research engineering at @ElevenLabs
, working across Scribe v2 and Scribe v2 Realtime. and he joins @raais 2026 in London on June 12! -
France state-backed AI champion versus UK panel discussion
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france: state-backed ai champion
uk: panel discussion -
Back to Claude Opus 4.8 with 1M context, max and fast
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after a brief moment of simplified model names, i'm back to claude opus 4.8 (1m context) – max – fast
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AI enables large gene insertions and fine-scale editing for cholesterol reduction
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we live in the future – the next step is designing large gene insertions and fine scale editing with AI @ProfluentBio “One dose of VERVE-102 (in vivo base editor) led to dose-dependent, substantial, and sustained reductions in PCSK9 and LDL cholesterol levels.”
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Revenue ramp via costly tokenizer in 4.7 boosts tokens per query
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i think ppl forget that rev ramp might also be driven by a more spenny tokenizer on 4.7 up to 1.3x more tokens for the same query revmaxxing by tokenizer upgrade (amongst other things ofc)
