Dawood Khan

Co-founder @Gradio (acq. by @HuggingFace)

[Dawood Khan @dawoodnyc]

Never thought when we first started @Gradio, this would be the result. Alhumdulilah!

[Jensen Huang @JensenHuang]

Exciting day for NVIDIA and @huggingface.

Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. They allow every developer, startup, university, industry and country to build with, customize and benefit from AI.

Thank you @ClementDelangue for coming to me.

NVIDIA is going to be a great home for Hugging Face, its community and the future of open models. 🤗

https://t.co/q8Om2Xc5ye

[Dawood Khan @dawoodnyc]

@leonardtang_ @beaconholdings @haizelabs congrats bro!

[Dawood Khan @dawoodnyc]

@victorsanh @Gradio Congrats to you too! HF wouldn’t be where its at without your contributions.

[Dawood Khan @dawoodnyc]

Never thought when we first started @Gradio, this would be the result. Alhumdulilah!

[Jensen Huang @JensenHuang]

Exciting day for NVIDIA and @huggingface.

Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. They allow every developer, startup, university, industry and country to build with, customize and benefit from AI.

Thank you @ClementDelangue for coming to me.

NVIDIA is going to be a great home for Hugging Face, its community and the future of open models. 🤗

https://t.co/q8Om2Xc5ye

[Dawood Khan @dawoodnyc]

@arblauvelt @zuhayeer @huggingface @Gradio @si3luwa @anotheraliabid @abidlabs @_akhaliq 🫡

[Dawood Khan @dawoodnyc]

@zuhayeer @huggingface @Gradio @si3luwa @anotheraliabid @abidlabs @_akhaliq Thanks bro!

[Dawood Khan @dawoodnyc]

RT @abidlabs: Really grateful today alhamdulillah.

The @NVIDIAAI team has always been one of the biggest users of gradio using it to shar…

[clem 🤗 @ClementDelangue]

Super happy to share our intention to join forces with NVIDIA in a $12,930,300,000 acquisition 💛💚

10 years after starting Hugging Face, open-source AI is at an inflection point. Thanks to the community, we’ve shown that it can be a complement, and even an alternative, to closed-source APIs. But for it to happen at larger scale, it needs more compute, more support, more collaboration and more visibility. That’s why we went to talk to Jensen, who offered to do exactly that with us.

In addition to doubling down on NVIDIA’s massive contributions to open-source AI (I called them the “King of American open-source AI” earlier this year), they’ve committed to strongly supporting Hugging Face and our mission while keeping the platform open, independent and compute agnostic. The founders and the team are all staying to keep pushing this mission forward.

Together, we think we can make open source the default way to build AI, with the goal of empowering 100 million AI builders to own their intelligence rather than rent it.

Excited about the next 10 years! 🤗🤗🤗

[Dawood Khan @dawoodnyc]

@abidlabs @Gradio The classic LaCie hard drive, which probably started the trend

[Dawood Khan @dawoodnyc]

@si3luwa @huggingface @Gradio @abidlabs @_akhaliq @evilpingwin @freddy_alfonso_ @yvrjsharma miss you guys. excited to hear what’s next

[Dawood Khan @dawoodnyc]

@FurkanGozukara @Gradio Will look into it! Can you open up an issue with a minimal repro here: https://t.co/HSL2eHZvVC

[Cohere @cohere]

We're sponsoring a hackathon to scale down.

Hosted by our friends @huggingface and @Gradio, we want working with models to feel like yours again. Small enough that it's inexpensive to run, big enough that it can change the life of someone you care about.

Build something delightfully weird that only AI could help you create, or pick a problem for someone you actually know and build a solution. The choice is yours 🧙

[Dawood Khan @dawoodnyc]

@zuhayeer MashaAllah! May Allah swt accept

[Gradio @Gradio]

remember when AI was fun?
when models were small enough to tinker with on a laptop, and nobody was talking about p(doom)?

we're bringing that back. two weekends. $15k on the line.
the build small hackathon, opens today for registration ↓

[Aksel @akseljoonas]

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 https://t.co/udm7xGpNzR, 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 https://t.co/brvCC7fLPa, reads them fully, walks citation graphs, pulls datasets referenced in methodology sections and on https://t.co/hrJuRkRyzi
- 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: https://t.co/l3K1PslZ1n
Web + mobile: https://t.co/orko5srL4H

And the best part? We also provisioned 1k$ GPU resources and Anthropic credits for the quickest among you to use.

[Dawood Khan @dawoodnyc]

@FardeemM @trybehold definitely!

[baby keem @babykeem]

how do u fix openclaw internal reasoning leaking

[Dawood Khan @dawoodnyc]

checkout daggr: https://t.co/fzoW5XmDiv
to create gradio node based workflows

[Dawood Khan @dawoodnyc]

created a daggr workflow for removing sports commentary from youtube videos

[Dawood Khan @dawoodnyc]

https://t.co/ZlbHTL0BNq