Let us know how we can keep improving llamacpp!
@clementdelangue
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Receptionist Robotics App Built in Under 2 Hours with ML
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Receptionist robotics app built under 2 hours thanks to ml intern and reachy mini. Was fun again! https://t.co/ltIAJ4eDxv pic.twitter.com/zoNzSVvuGu
— clem 🤗 (@ClementDelangue) 1 mai 2026Receptionist robotics app built under 2 hours thanks to ml intern and reachy mini. Was fun again!
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Building Office Receptionist App with Reachy Mini and GPT
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I'm trying to build an office receptionist app for my reachy mini today with ml intern + @OpenAI GPT 5.5. Wish me luck! You can follow my session agent traces live here: https://
huggingface.co/datasets/clem/
ml-intern-sessions/blob/main/sessions/2026-05-01/5eb4110b-756c-428a-88e5-17baef6074a7.jsonl
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AI Labs Used Web Data Then Pulled the Ladder on Others
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I think the expression is “pulling the ladder”! All labs trained their models by distilling (at the very least distilling the web) which allowed them to become the fastest growing businesses in the history of humanity and now that they have armies of lawyers and lobbyists, they
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Anthropic Accused OpenAI of API Terms Violation via Model Distillation
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Anthropic claimed OpenAI violated their terms of service by using their API (I suspect they would call it “distilling” today)
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Robotics Announcement Expected Next Week; Seeking Top Journalists
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robotics announcement next week. who are the best journalists covering the topic?
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Company Named TIME Top 10 Most Influential AI Firms 2026
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Great to be included in the @TIME 10 Most Influential AI Companies of 2026! Let's go open-source AI!
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Model Distillation Fair Use Debate in AI Training
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What people call "distillation" is a super common practice (you use other models to benchmark your model, to evaluate your inputs or to add a little bit to your datasets) that in my opinion should be covered by fair use (just like using public data is), especially when the
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Distillation Practice in AI Should Be Covered by Fair Use
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What people call "distillation" is a super common practice (you use other models to benchmark your model, to evaluate your inputs or to add a little bit to your datasets) that in my opinion should be covered by fair use (just like using public data is), especially when the
