Search: “clem-delangue--x”

In a world where writing code to build websites and apps is trivial (thank you Lovable, Cursor, Claude,...), the real differentiation for you and your company (and what makes you successful) will be h

Karpathy's autoresearch repo started an impressive trend. Agents can now train AI models to build SoTA agentic systems. And to think this is just scratching the surface. Ultimately, it boils down to g

We need open traces so that everyone can train open agent models! cc @steipete @badlogicgames @thdxr @matanSF @hwchase17 People are misreading the SpaceX/Cursor deal as an M&A story. It’s actually a b

Very cool to see Cursor doubling down on training great models. In my opinion, ultimately all serious companies in AI will want to train models themselves, based on open-source instead of outsourcing

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

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

Elon’s original vision of an open, American AI was right. He could still flip Grok to open source which could be checkmate. Why? If you flip Grok open source, you necessarily move all margins out of t

Is there somewhere a collection of the best agent/coding harnesses for each models, especially open-source and local ones? In my opinion, the biggest reason why people are struggling with open/local m

Open-source is the solution to cyber-security because with new AI capabilities, all of the open-source repos will be inspected and patched 100x faster/better than any closed-source system! Let's take

Today we’re shipping Laguna M.1 and Laguna XS.2 – our first public models. We’re also shipping our agent harness and a preview product experience. Both models were trained from scratch on our own stac

Agents want to collaborate. So we’re putting that instinct to work on improving open-weight LLMs at formal math. Our latest agent collab tackles the @SAIRfoundation challenge of building a cheat sheet

Sharing an OS tool I have been building for a few weeks: http://opentraces.ai - git for agent traces. With OT, you have a local client that helps you santise, review and securely share traces from you

Kimi K2.6, 1T params runs on my desktop GPU workstation. 192GB VRAM + 475GB RAM Serious contender to be the best open coding LLM on Earth. We'll see I'm checking their default harness. Goes on and on

dear god lol - new kimi model is a fucking beast. GPT 5.4 level coding, 76% cheaper than opus 4.7 and 100% open source / free to use, i mean look at this: > kimi k2.6 can code continuously for 12 hour

Clem Delangue posted about someone flying to work with the llama.cpp team on developing next-generation local AI capabilities, framed as meta commentary on headlines related to the endeavor. The post

Clem Delangue highlights a significant development in local inference technology, noting that a project (referred to as 'whale bros') has released their work as open source. The post emphasizes the im

Ornstein-Hermes-27B-MLX live https://huggingface.co/GestaltLabs/Ornstein-Hermes-3.6-27b-MLX-16bit https://huggingface.co/GestaltLabs/Ornstein-Hermes-3.6-27b-MLX-8bit https://huggingface.co/GestaltLabs

Llamacpp is a tool for running large language models locally on personal computers, offering free access without relying on cloud services. The technology emphasizes speed, security, and computational

300,000 AI builders have already added their hardware to HF to instantly see what model they can run locally. To do so, go to https://huggingface.co/settings/local-apps and add your hardware specs. Yo

How to keep AI spend flat while token usage grows exponentially: Not with friction and spend alerts. With better defaults, routing, and caching. Better Defaults (not Usage Caps) – Engineers can choose

Today, SkyPilot is out of stealth. Building custom intelligence is now existential. We help frontier AI teams build intelligence faster by removing their biggest bottleneck: AI compute fragmentation.

Very happy to support this on behalf of Google. We have long benefited from open source, are big contributors to open source and in fact have consistently made open weights models with Gemma available

Some people are surprised that APIs (aka what Anthropic, OpenAI, and others provide) are treated differently than open weights in the new AI model framework. I'm not surprised at all, and it's actuall

Feels like Google could have been the dominating force in AI by open-sourcing the frontier with Gemini, Veo, and Nano Banana. Instead, they kept them behind APIs for a few billion dollars in revenue.

We're expanding our partnership with @huggingface to accelerate open science. Our storage on the Hub is roughly tripling to ~2 petabytes, & our downloads now run at high speed—even for our largest dat

Hugging Face Storage Buckets are now on http://Vast.ai Connect your HF Storage Bucket as a Cloud Connection in your Vast settings, and every GPU instance you rent can pull datasets and checkpoints str

Fortunately AI agents don't just cyberattack us. They also use us more than ever for what we're actually built for: the storage and collaboration layer for AI 😅 New record: almost 4 PB of private & pu

Hugging Face is getting one new repository every seven seconds. That is roughly 12,000 new models and datasets a day, every day. Clem Delangue @ClementDelangue said it on stage at AMD's developer conf

🔗 Download Muse Glimmer on @huggingface: https://huggingface.co/meta-models 🔗 Read the technical blog: https://go.meta.me/museglimmer 🔗 Find resources: https://developer.meta.com/ai/models/muse-glimme

Local AI is exploding! Transformers.js, that we've been building @huggingface for the past three years has now become the most popular open-source library to run AI models directly in your browser and