Search: “clem-delangue--x”

OpenClaw landed on @huggingface local apps 🦞🤝🤗 1. Pick any GGUF/MLX model on hf 2. Copy the openclaw onboard setup 3. Volla you've got a tool-calling agent running fully local. no cloud, no keys, no o

'The frontier labs will keep owning discovery. Open source will increasingly own production.' Insightful take on a tired topic 'When you're running AI agents in production for customer service, latenc

Clem Delangue likely argues that open-source development models will be central to AI's future, emphasizing the benefits of transparency, community collaboration, and democratized access to AI technol

The Nemotron model family from NVIDIA has reached 100 million downloads, marking a significant milestone for the open-source AI model community. The achievement reflects growing adoption and collabora

This is how how much data AI builders are storing on HF Xet (replaced git storage fully in ~Nov 25). Feels like this is just the beginning and should get to exabytes soon! A Stargate for Data Labs are

We found a way to run GLM-5.2 with full context in vLLM without pruning. - top 32 experts NVFP4 - rest fp3 - intel autoround calibration - MXP8 attention - bf16 routers and embedded sees On 3 DGX spar

Hugging Face is partnering to make open agent traces available as training data for developing next-generation open-source coding models. This collaboration enables developers to upload agent traces,

With our internal coding benchmark, we're able to confidently introduce open-weight models into our AI code reviewer w/o degrading code quality. Have the frontier model (Fable) to the hardest work, de

Clem Delangue, CEO of Hugging Face, announced that the company's Paris headquarters features a gym facility and humorously created branded '🤗 exercises' as a celebratory gesture for employees. The pos

longcat 2.0 (1.6T, ~48B active) weights are now open under MIT license interesting design choice compared to previous iteration is that they keep the same attention shape and REDUCE the number of zero

As America turns 250, we put together 250 open AI milestones from the US: open models, datasets, demos, papers, and tools that helped shape the field. They go from attention is all you need, pytorch,

Happy Birthday, America. Ten years ago, you took a chance on three outsiders with an improbable idea: that open-source AI could matter. At the time, the field was tiny, the vision sounded unrealistic,

introducing tinyrouter i reverse engineered the routing architecture behind Skana AI's Fugu and built replication for open frontier models. it's a tiny ~10K parameter LLM router that learns which mode

The July 4th weekend All-In @theallinpod turned into a long argument about who owns the intelligence layer. The besties think enterprises just woke up to a trap they had been walking into, here's how

Wow… this is amazing This latest episode of the @theallinpod is a complete referendum of closed source AI (ie. Anthropic/OAI) in a way I haven’t yet heard from industry leaders Open source AI is about

Clem Delangue, CEO of Hugging Face, discusses the anticipated emergence of open-source AI as a dominant force in the artificial intelligence landscape, likely covering trends toward democratization of

Clem Delangue posted a request on X asking if anyone could help obtain tickets for a World Cup quarter-final match scheduled to take place in Miami the following week. The post appears to be a public

Don't train the model, evolve the harness. I read a brilliant blog post from Hugging Face where they took a frozen open model scoring 0% on a hard legal agent benchmark, left its weights alone, and le

GLM-5.2, an open-source model available through Hugging Face, can now be selected and used within Claude Code through Hugging Face Inference Providers and the hf-claude integration. This development d

I cannot provide an accurate summary for this entry. The title appears to be a social media notification about user follows on X (Twitter), but it lacks clear informational substance and the URL/sourc

Unpopular opinion: While everyone is so hyped about Fable, GPT5.6 and other huge and expensive models, I think the real hero of the last few months is *Qwen 27b*. Our ML/AI engineering teams are have

we distilled 2.3M Claude Fable 5 reasoning traces into Qwen3-4B - 100% self-consistency @ 512 samples - 0.00 bits output entropy - zero hallucination variance turns out the student is not bounded by t

Bridgewater just published numbers that should make every frontier lab nervous. The world's largest hedge fund tested Gemini, Claude, and GPT on six document filtering tasks its investors do every day

Dario just declared war on open-source. Anthropic's message is clear: open source could destroy the entire AI business model, and Chinese open-source models are the cause. I sat down with @jasonlk & @

DeepSeek effect https://x.com/maximelabonne/status/2070867418377818542 Fun surprise: DeepSeek used my open-perfectblend dataset to train their new DSpark drafter Time to promote it again! It's an open

GLM 5.2 DSpark preview is here! ✨ https://huggingface.co/RedHatAI/GLM-5.2-speculator.dspark-preview This is the first DSpark speculator for a non-DeepSeek frontier model, trained with Speculators and

GLM 5.2 is 5x cheaper than Opus 4.8 and 11x than Fable 5, yet it tops PostTrainBench. That’s exciting because lower costs make personalized intelligence economically viable. Every company and country

Lots of people are advocating for more American open-source models these days which is amazing but very few people do anything about it! Latest example, Alex Karp came out advocating for American open

Most people should probably update their priors on the state of open-source speech-to-speech. It's honestly kind of mind-blowing. We teamed up with @cerebras to build a fully open-source realtime voic

This post likely discusses issues of model ownership and intellectual property rights in AI development, particularly regarding concerns about who controls trained model weights and the underlying neu

This post likely discusses the concept of model weights and their ownership or control in machine learning contexts, possibly drawing a playful analogy to relationship dynamics. The title suggests com

Open source AI models and their underlying code enable organizations and nations to develop artificial intelligence capabilities independently, without reliance on proprietary systems or external vend

.@Qualcomm is expanding its collaboration with @huggingface to scale open, developer-driven AI. From model onboarding to agentic workflows across edge and data center, this simplifies how developers b

Rampart from the @ndstudio @WhiteHouse is number one trending token classification model on HF. Very cool to see public organizations starting to own and build their weights instead of renting them fr

Rampart, our PII removal model, has cracked the first screen of the top trending models across any category on Huggingface, on the same tier as GLM 5.2 / Deepseek! If building systems at fast pace at

Clem Delangue argues that AI companies should not be referred to as 'labs,' characterizing such terminology as pretentious and inaccurate since these organizations operate as commercial enterprises ra

Clem Delangue announced the term 'Summer of Open-source AI' in a live discussion with Dee Bosa and Vipul Ved, indicating a period focused on advancing and promoting open-source artificial intelligence

why are the open tools so low in the list? We need to improve integration between open platforms and open models @steipete @thdxr @Teknium @badlogicgames! Coding agents are real users of the @huggingf

“Agentic kernel optimization is the future of on-device inference” @xenovacom used Fable 5 to write kernels that pushed Gemma 4 to a massive 255 tok/s on WebGPU with M4. He shared the demo, so you can

AI systems that are accessible or even better open-source are safer for a simple reason: more people can inspect them, test them, stress them, and report what breaks or harms to keep the builders acco

GLM 5.2 just became the first open-source model to lead a category on APEX-SWE. It scored a 55.3% Pass@1 on Integration, the top score we've recorded for any model, open or closed source. On the overa

Pivot 0.5 is the first trained model released by the organization, available as a free research preview with open weights coming soon to Hugging Face. The announcement was made by Clem Delangue on X (

Portugal has launched its first open-source AI model as part of Europe's broader initiative to achieve 'tech sovereignty' and reduce dependence on non-European AI systems. This development aligns with

This is absolutely correct. The only way to fight 'open' is with 'open.' Glad to hear a voice in Washington that understands the real stakes. 'At this very moment China is giving its AI technology awa

A study from @Stanford showed that 71.3% of chatgpt queries could be accurately answered by a local model. I suspect a major part of enterprise AI workloads could be run locally too for free (compared

'At this very moment China is giving its AI technology away. It's releasing open-weight AI models that are cheap, capable, and they're fast becoming the world's default.' We can overcome this. @neil_c