Should we build a "Companionship leaderboard" for all the major conversational AI (chatgpt, claude, grok, metaAI, deepseek,…) to see which one sets the strongest boundaries? Good way to see which one you want to recommend to your kids or closed ones or anyone who's
@clementdelangue
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Balancing Empathy and Sycophancy in Conversational AI Systems
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I feel like @parmy & @frimelle are introducing a very important nuance in the sycophancy debate with this article. I'm sure this is very challenging, especially at chatgpt scale but in my opinion, there's a way to keep conversational AI warm/empathetic/somehow sycophantic while
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Morgan Stanley Joins Hugging Face Platform
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Welcome to @MorganStanley on @huggingface
! https://
huggingface.co/morganstanley -
French Engineer Builds Open-Source Robot with Pollen Robotics
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That's what a French engineer (@jaSimbals) is building for fun (spotted by @RemiFabreRobot) 🤯🤯🤯
— clem 🤗 (@ClementDelangue) 13 août 2025
Things like that are making me excited about the power of open-source and collaboration for robotics that @pollenrobotics & @huggingface can unleash!
Let's build the future!… pic.twitter.com/zYKA8L6fIgThat's what a French engineer (
@jaSimbals
) is building for fun (spotted by @RemiFabreRobot
) Things like that are making me excited about the power of open-source and collaboration for robotics that @pollenrobotics & @huggingface can unleash! Let's build the future! -
Open-source model families evolutionary analysis on Hugging Face
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Fun to think about open-source models and their variants as families from an evolutionary biology standpoint and analyze "genetic similarity and mutation of traits over model families". These are the 2,500th, 250th, 50th and 25th largest families on @huggingface
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Open-source world models welcome announcement
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Welcome to open-source world models! https://t.co/IXVxZdGm4r
— clem 🤗 (@ClementDelangue) 12 août 2025Welcome to open-source world models!
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AI Open Source Cycles: Leadership and Strategic Openness
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Yes open/close in AI seems to be following kind of a cycle, at the individual, company and country level I feel like. Something like:
#1 we’re not leading, let’s open science and open-source > #2 we are now leading, we can open science and open-source less > back to #1 as a -
Frontier Labs Depend Heavily on Open-Source AI Stack
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All closed-source frontier labs use tons of open-source all over the stack, starting from python, @PyTorch
, @huggingface all the way down to RoPE, GQA, flash-attention, or any tiny improvements released by open-source players. The whole transformers architecture (the T in gpT) -
Open-source AI leads innovation despite resource disadvantages
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When you realize that open-source is at the frontier of AI despite:
– less GPUs
– less money
– less public and policy support
– no $100M salaries to attract talent
– with closed-source taking advantage and copying all the innovations of open-source without contributing back