My CTO:

Introducing ml-intern, the agent that just automated the post-training team @huggingface It's an open-source implementation of the real research loop that our ML researchers do every day. You give it a prompt, it researches papers, goes through citations, implements ideas in GPU sandboxes, iterates and builds deeply research-backed models for any use case. All built on the Hugging Face ecosystem. It can pull off crazy things: We made it train the best model for scientific reasoning. It went through citations from the official benchmark paper. Found OpenScience and NemoTron-CrossThink, added 7 difficulty-filtered dataset variants from ARC/SciQ/MMLU, and ran 12 SFT runs on Qwen3-1.7B. This pushed the score 10% → 32% on GPQA in under 10h. Claude Code's best: 22.99%. In healthcare settings it inspected available datasets, concluded they were too low quality, and wrote a script to generate 1100 synthetic data points from scratch for emergencies, hedging, multilingual etc. Then upsampled 50x for training. Beat Codex on HealthBench by 60%. For competitive mathematics, it wrote a full GRPO script, launched training with A100 GPUs on hf.co/spaces, watched rewards claim and then collapse, and ran ablations until it succeeded. All fully backed by papers, autonomously. How it works? ml-intern makes full use of the HF ecosystem: - finds papers on arxiv and hf.co/papers, reads them fully, walks citation graphs, pulls datasets referenced in methodology sections and on hf.co/datasets - browses the Hub, reads recent docs, inspects datasets and reformats them before training so it doesn't waste GPU hours on bad data - launches training jobs on HF Jobs if no local GPUs are available, monitors runs, reads its own eval outputs, diagnoses failures, retrains ml-intern deeply embodies how researchers work and think. It knows how data should look like and what good models feel like. Releasing it today as a CLI and a web app you can use from your phone/desktop. CLI: github.com/huggingface/ml-in… Web mobile: huggingface.co/spaces/smolag… And the best part? We also provisioned 1k$ GPU resources and Anthropic credits for the quickest among you to use.

Smoke testing with agent-browser is a cheat code

The hyperscalers have already outspent the most famous US megaprojects

Even without the big AI deals it was ~$112 billion quarter The time to build is now anon

If I have to scan my iris just to shitpost on the internet I’m out

Segregation isn’t a holistic fix and I’m not handing over my biometrics to any tech or gov platform. Current incentive structures break in an agentic world. PoH is solving the wrong problem entirely.

Ahoy @K1_R1_

The most important article I've read this year

Touching grass (tarmac) Londonmaxxing

The Londonmax thesis Monitoring the situation closely

now that I’m no longer doing a startup and won’t for many years, some early stage startup fundraising advice: don’t spend any time at all with investors until you’re ready. tell them you’re too busy. do not meet with them. yes especially if an associate emails you 5 times

everyone Londonmaxxing rn but they're all paying their taxes overseas

After far too long I've finally ditched Notion Obsidian git Claude This is the way

Building proof of humanity at this stage of the AI timeline feels like a very luddite mindset smh

>find industry still using fax machines >create AI wrapper >add nice UI >call it "transformative AI" >billion dollar valuation >mfw

The algorithm rewards chasing virality. Doomsaying is fashionable right now and negativity compounds. You've just gotta cut through the noise.

Perfect day to log off and just build. A literal technological revolution is happening right now and the possibilities have never been wider. For me, it's always been about creating great products and tech. Always will be.

Farcaster news is yet another example of VC-backed engagement ≠ product market fit. Lots of negative SocialFi takes but little has changed - we still haven't innovated and the primitives are better than ever. The killer app is still unbuilt.

Thought Neymar had just bought Farcaster, almost spat out my coffee