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Introducing Hedra Model Factory: an autonomous inference and training platform for building models for the real world. The recursive self-improvement loop behind frontier research has been locked inside a few labs. We're opening it to teams in robotics, manufacturing, biology and defense. Our researchers come from Stanford, NVIDIA and... show more

Hedra

54,430 subscribers

2,438,700 次观看 • 2 天前 •via X (Twitter)

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60 条评论

Hedra 的头像

Hedra2 天前

We're expanding to full-service research support. Start with your data and simulation environments. We help with the entire model development lifecycle, from your first RL environment to every subsequent iteration. Every team gets forward-deployed researchers who work alongside you at each step. Here's what our researchers have been working on ↓

Hedra 的头像

Hedra2 天前

→ Post-training world models for physical consistency. One researcher retrained H3 across data, simulation and the hero run to beat leading frontier models on Google DeepMind's Physics-IQ (34.9 vs 30.3) → We discovered a new distillation technique that runs world models in real time without losing physical consistency, now powering our synthetic data pipeline for customers → Autonomous evals that catch defects in training data. We optimized a VLA to dramatically cut captioning and QC costs → Building infrastructure to scale past 100,000 simultaneous RL environments and simulators on our new CPU/GPU sandboxes We're publishing the research as we go, starting this week.

Hedra 的头像

Hedra2 天前

We're building a factory that gets faster with every model it produces, and adding thousands of GPUs to power it. Talk to our team today →

joyce 的头像

joyce2 天前

ig now's a good time to say: - if you need compute, we have compute, B300s, 200s, H100s, H200s, AMD MI355X - if you want to post-train OSS models for specialised use cases (eg. driving tractors, analysing stem cells, etc) we'll do it for you - we have GPU sandboxes dm me!!

The Rabbit Hole 的头像

The Rabbit Hole2 天前

Robotics is going to change the world. There’s a lot of untapped potential, especially as the scope of roles improves.

Hedra 的头像

Hedra2 天前

potential goes brr

Paul Mit 的头像

Paul Mit2 天前

it's actually very impressive and refreshing to see the products that reach outside the digital on the timeline 💪 what's the plan for the future?

andrew chen 的头像

andrew chen2 天前

Congrats to @mjlbach and the Hedra team!!

Hedra 的头像

Hedra2 天前

@mjlbach thanks Andrew!!

Everett Butler 的头像

Everett Butler2 天前

physical AI is the future, and whoever delivers the end to end infrastructure optimized for pixels and atoms vs. text is going to win big.

Hedra 的头像

Hedra2 天前

indeed. new era of models

Science girl 的头像

Science girl2 天前

This is super interesting

EP 的头像

EP2 天前

congrats 👏

Santiago 的头像

Santiago2 天前

This sounds like a service, right? Based on what I understand, this is not self-serve, correct?

Hedra 的头像

Hedra2 天前

yes its a service! we'll work with you

shirish 的头像

shirish2 天前

34.9 vs 30.3 against deepmind is no joke

Daniel Smidstrup 的头像

Daniel Smidstrup2 天前

Recursive self-improvement is for sure the key to actually getting to the next level! How close are we at this point to AI just continuously getting smarter, truly on its own?

Hedra 的头像

Hedra2 天前

we're already seeing it internally

Daniel Smidstrup 的头像

Daniel Smidstrup2 天前

Does it have an end or will it keep going?

elvis 的头像

elvis2 天前

Bringing the self-improvement loop to robotics and real-world data is a big step. Congrats on the launch!

Dev Shah 的头像

Dev Shah2 天前

congrats this is insane

Hedra 的头像

Hedra2 天前

thx

Jon Lai 的头像

Jon Lai2 天前

So excited for this! So much demand for models for the real world 🏭

Hedra 的头像

Hedra2 天前

accelerate

sophia dew 的头像

sophia dew2 天前

congrats!

Hedra 的头像

Hedra2 天前

thanks sophia!

bunny 的头像

bunny2 天前

fully autonomous looped inference and training platform is actually crazy

Hedra 的头像

Hedra2 天前

crazier things coming

tech bro 的头像

tech bro2 天前

This is so freaking cool team!!!

Hedra 的头像

Hedra2 天前

hell yea

tech bro 的头像

tech bro2 天前

Great video team!

haris 的头像

haris2 天前

lfg this is sick

Hedra 的头像

Hedra2 天前

right back at ya

Future Brian 的头像

Future Brian2 天前

banger launch :)

Hedra 的头像

Hedra2 天前

bang bang!!

Krea 的头像

Krea2 天前

🔥🔥🔥

Hedra 的头像

Hedra2 天前

🔥🫡

phed 的头像

phed2 天前

the stuff only the big ai labs had is now open to everyone. hedra cooking

Hedra 的头像

Hedra2 天前

we cooked and we ate

Livia Han 🐯 的头像

Livia Han 🐯2 天前

congrats hedra team!!

Hedra 的头像

Hedra2 天前

ty liv!!

David Kwon 的头像

David Kwon2 天前

Congrats on the launch!

Hedra 的头像

Hedra2 天前

thank you David!

litquidity 的头像

litquidity2 天前

I wish I had more friends IRL to discuss this with

Markets & Mayhem 的头像

Markets & Mayhem2 天前

I am so bullish on robotics long-term. I think it's going to change how a lot of humanity works for the better. But one of the biggest shortcomings right now is exactly this. The lack of the ability to adapt. Great idea with Model Factory. This is the innovation we need in the space!

Palash Awasthi 的头像

Palash Awasthi2 天前

this changes everything 🔥

Hedra 的头像

Hedra2 天前

everything's changing

Andrew 的头像

Andrew2 天前

massive congrats!!!

Hedra 的头像

Hedra2 天前

yay thanks andrew

Exec Sum 的头像

Exec Sum2 天前

This is the next hot space in AI

Hedra 的头像

Hedra2 天前

we're only getting started

Heshie Brody 的头像

Heshie Brody2 天前

this is super cool!

Hedra 的头像

Hedra2 天前

🔥

Damir Becirovic 的头像

Damir Becirovic2 天前

Amazing work Hedra team

Hedra 的头像

Hedra2 天前

thanks!

hubert 🎬 的头像

hubert 🎬2 天前

nice, congrats and good luck

Hedra 的头像

Hedra2 天前

pow pow

Emil 的头像

Emil2 天前

Could you outline a bit what a recursive self-improvement loop looks like for robotics, for instance? I mean it seems clear how it works with LLMs, where they become smarter and thus improve even faster from there. But it is not clear how this positive feedback loop could work for other types of models that are not building themselves? To me it looks more like an adaptive research strategy that is continuously finding out what the best hypothesis is to test to obtain the best knowledge for further improvement. That is still impressive though!

klöss 的头像

klöss2 天前

massive day for the Hedra team congrats y’all!

Aditi 的头像

Aditi2 天前

what does the testing and validation process look like before a custom-trained model is ready for actual production use?

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