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clem 珞(@ClementDelangue)

clem 🤗 (@ClementDelangue) on X The soundbite is from my US congress testimony 3 years ago btw haha https://t.co/3glwCFsiYS We're still just scratching the surface of how much better, faster, cheaper we can make inference fo... Open the model weights, Hal! Congrats for the new round @PrimeIntellect Full write-up here: https://t.co/9tyIyfFMAF Storage and egress fees have been one of the biggest cloud lock-in traps in AI. When models and data... https://t.co/uQSOqPWPD0 The solution to American open-source lagging behind Chinese open-source: @elonmusk & @cursor_ai ... This is how how much data AI builders are storing on HF Xet (replaced git storage fully in ~Nov 25).... From a few hundred thousand to 100M AI builders in 2028? AI will create tons of jobs if we make it d... How? Instead of closed-source frontier labs running the same training runs in secret and siloes, ope... As America turns 250, we put together 250 open AI milestones from the US: open models, datasets, dem... Can anyone get me tickets for the world-cup quarter-final in Miami next week? Are you ready for the open-source AI summer™️? We've just coined it live with @dee_bosa @vipulved: it's going to be the "Summer of Open-source AI"! "consensus" can't just built by big tech! let's all be careful of regulatory capture and extreme con... why are the open tools so low in the list? We need to improve integration between open platforms and... Lots of people are advocating for more American open-source models these days which is amazing but v... Rampart from the @ndstudio @WhiteHouse is number one trending token classification model on HF. Ve... Not your weights, not your brain! AI systems that are accessible or even better open-source are safer for a simple reason: more people... Super excited about open-source router systems and routing models like @vllm_project semantic router... @devdigest just released it https://t.co/tNbjY7DRBy A study from @Stanford showed that 71.3% of chatgpt queries could be accurately answered by a local ... Open-source AI is booming, massively impactful for progress, competition, transparency & orders ... Tired: The US government regulating open-source AI models Wired: The US government training and rele... https://t.co/PLL0hNPbdv the future of AI is multi-model (including a majority of open-source ones provided by @huggingface o... It's quite rational to regulate frontier API models, especially to get more transparency for the gov... Getting regulated by a government because your model is "too dangerous" is the best marketing (espec... @brian_armstrong next step: post-training your own models based on open-source! I'm joining in a few minutes! The biggest risk in AI is concentration: of power, capabilities and economic wealth. Who can doubt i... We just crossed $100M annual run-rate. I know many AI companies are capturing much more $$$ these da... Thanks for the "one more thing" @cristianoamon @Qualcomm! Qualcomm! @_yaksan what if the collaboration was with OAI? lesgo! Shot a video this morning to announce a new collaboration with ... HF is quietly becoming the best place to store data, public AND private, especially for brutal domai... Going to cross 3M public models & 1M public datasets on @huggingface in a few days. Open-source ... - 2016-2024: 🇺🇸leads in open-source AI - 2024-2027: 🇺🇸 leads in general AI & massively benefits ... “Cost per task varies by ~800x across models tested: Claude Fable 5 leads the benchmark but costs mo... Let’s face it: after-the-fact API guardrails are not the right safety tool for frontier models. The... "Open weights are now our default" https://t.co/m2I3nDnwKP Tweet Let's stop doom marketing/trolling! https://t.co/dTKGgkeET0 Very cool new legal benchmark on HF: https://t.co/RU1VSdsRIY Very cool and massive dataset on @huggingface of course: https://t.co/1OvlkLhdGl! let's goo!
Kog open-sourced on @huggingface the 2B model that they used to show a model running at 3,000+ token...
clem 🤗 (@Cl · 2026-06-25 · via clem 珞(@ClementDelangue)
Kog open-sourced on @huggingface the 2B model that they used to show a model running at 3,000+ tokens per sec…