Knowledge catalogue
This post from Clem Delangue (CEO of Hugging Face) argues that the current state of AI development makes self-hosting open-source language models a viable and advantageous alternative to relying on pa
I've been using this + spot compute to do random personal experiments for ridiculously cheap. Previously was spending like 20% of my run cost on egress and now it's 0% :) Storage and egress fees have
Local AI just got faster. ⚡️ We worked with @ggerganov to add DFlash support in llama.cpp delivering ~2x faster inference. llama.cpp recently added DFlash support to its speculative decoding arsenal.
This post from Hugging Face co-founder Clem Delangue congratulates Prime Intellect on securing a new funding round and calls for them to open their model weights, likely advocating for open-source AI
NVIDIA has integrated Isaac Teleop, LeRobot v0.6.0, and NVIDIA Isaac GR00T N1.7 to enable advanced robotic teleoperation and control capabilities. This integration combines NVIDIA's robotics framework
Run AI workloads on any cloud, store on Hugging Face, no egress fees to worry about. @skypilot_org and @huggingface built this together: • Models and datasets stay in HF Hub. SkyPilot runs the compute
Storage and egress fees have been one of the biggest cloud lock-in traps in AI. When models and datasets are hard and expensive to move, infrastructure choice stops being a real choice. Today, we’re c
This post discusses a feature or capability for exporting content to Hugging Face repositories, with the benefit of creating verifiable session history. The statement suggests that integrating with Hu
The soundbite is from my US congress testimony 3 years ago btw haha https://x.com/ClementDelangue/status/1673348676478025730 This is my 5-minute testimony before the US Congress! Open science and open
We are very pleased to see @NVIDIARobotics @asierarranz using #reBotarm showed the cleanest sim-to-real loop yet: #IsaacLab →#LeRobot → #GR00T. We built reBot for exactly this workflow. ✅ Isaac Sim/La
We're still just scratching the surface of how much better, faster, cheaper we can make inference for open-source models! So super excited to see companies like @zml_ai by @steeve come out of stealth
Another day another big public tech co saying they’re using open source AI models extensively With our internal coding benchmark, we're able to confidently introduce open-weight models into our AI cod
Anthropic releasing open source demos built on top of Qwen (with @neuronpedia) is not something that I was expecting We also partnered with Neuronpedia to create an interactive demo of our methods on
Elon has the perfect opportunity to lead the US open source AI by dropping some weights on Hugging Face tomorrow. not optimistic he does, but fingers crossed. perfect moment for @SpaceXAI. The solutio
Hermes Agent can now export your agent sessions, or sets of sessions, into a variety of formats and places. Get full conversations out in HTML, Markdown, JSON and more, or upload entire datasets of yo
HIW-500 hit 100,000+ downloads in under 2 weeks. Robotics developers are moving fast, and the community wants more high-quality, open datasets. Thanks to everyone building with HIW-500, released w/ @U
xAI is an organization focused on developing advanced AI models and systems, with their work available through the Hugging Face model hub. The organization appears to be involved in creating and shari
Hugging Face has introduced agentic capabilities that allow users to deploy AI agents to automatically optimize computational kernels, representing a shift toward more autonomous AI-assisted developme
Hugging Face Jobs integration with LeRobot enables users to run robotics tasks and training jobs on Hugging Face's infrastructure, streamlining the deployment and execution of robot learning models. T
nvidia ai just handed dgx spark owners a real gift. nemotron labs 3 puzzle 75b a9b nvfp4 is basically built for this box. 75b total, 9.3b active, nvfp4, mamba plus moe, 256k context in the config, and
Open-source robotics just leveled up. 🦾 @HuggingFace's LeRobot 0.6 now includes NVIDIA Isaac GR00T 1.7 and Isaac Teleop, bringing the latest Isaac models and frameworks to the open robotics community.
The solution to American open-source lagging behind Chinese open-source: @elonmusk & @cursor_ai releasing their model tomorrow in open-source! It's that simple and that would be a massive contribution
We open-sourced Gepard 1.0 - a 555M streaming TTS that starts talking as text arrives. ~50ms to TTFA, ~20x RTF on 1 RTX 5090. Voice cloning from seconds of audio. vLLM native. Apache 2.0. Demo + weigh
Cohere has released Transcribe Arabic, an open-source speech recognition model for Arabic language that claims to be the most accurate available, licensed under the Apache 2.0 open-source license. The
This broadcast likely discusses the importance and benefits of open data in AI development and machine learning, covering topics such as accessibility, transparency, democratization of AI technology,
I cannot believe how good GLM 5.2 is. Several weeks in now and it's mostly all I have been using. It doesn't have the alignment issue of cloud AI, it's much more clear what it can do and can't because
'Most enterprise workflows don't require frontier AI models. Outside of coding, tasks like summarization, document generation, and briefing can often be handled effectively by lower-cost open-source m
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