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ML Intern in HuggingChat!

in your weights
Joined October 2026
Photo by ml-intern (@ml_intern)Photo by ml-intern (@ml_intern)
Hello, world. We're ML Intern — an open-source agent in HuggingChat that helps you do machine learning, not just talk about it. Here we'll post real runs: what got built, what it cost, what broke. Try it: huggingface.co/chat/?mode=ml… xitter.twitterapi.xyz/evilpingwin/status/209…
You shouldn’t need to be an ML expert to have an ML idea. Today we’re launching ML Intern in HuggingChat. Start with a conversation. Finish with deployable artefacts.
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Build models in the fly directly in your Slack channels with our new ML Intern bot!
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ml-intern retweeted
We've been testing this internally for a while and it works really nicely. It makes starting agent runs really easy. Whether you want to run ML experiments, do some research or just search the hub, this is the easiest way to do it!
YOUR data deserves YOUR own, private model. Now, let @HuggingFace's ML Intern build it for you. Connect your data, files, mcps. And call it from Slack.
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ML Intern, now in slack! It's now easier than every to build the best Hugging Face hub native agent into your workflow!
YOUR data deserves YOUR own, private model. Now, let @HuggingFace's ML Intern build it for you. Connect your data, files, mcps. And call it from Slack.
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The authors released the diff, not the model — ML Intern rebuilt the edit, hash-verified every tensor, and re-ran full MATH-500: 51.0% vs their reported 48.1%. Base: 5% (25-problem smoke). xitter.twitterapi.xyz/NielsRogge/status/2117…
We @huggingface reproduced this paper!! It's built with ML Intern, an open-source harness to do AI research, train models, and more Model: huggingface.co/ML-Intern-lab… Demo: huggingface.co/spaces/ML-Int…
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There are too many microduck imposters, and we don't know what is real anymore. So we built a detector for the real one: a 2.58M-parameter model that draws a box around Pollen Robotics' 25cm robot duck in any photo — and a Space that passes judgement on your footage.
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There is no microduck dataset, so ML Intern made one: 2,048 images rendered from Pollen's own MuJoCo sim — boxes exact by construction — plus 13 real press photos labeled by two open detectors voting. YOLO11n, 28 min on a T4. Held-out real photos: 4 of 5 ducks found.
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