adaption

We named it AutoScientist for a reason. Co-founder @sudip_r0y breaks it down. It works the problem like a research team. Co-optimizing data and recipe, self-improving until quality lands on your goal. How frontier labs operate. Now in your hands.

On May 17 at @aiDotEngineer Singapore, Co-founder @sarahookr will share why the next era of intelligence will be malleable by design: Continuously learning, evolving, and closing the gap between models and the real world.

"The whole stack should be completely adaptable, and should basically optimize on the fly to whatever task you have." Co-founder @sarahookr in @TechCrunch on why we built AutoScientist.

Read the full announcement: adaptionlabs.ai/blog/autoscien…

Introducing AutoScientist. Most model training fails outside of frontier labs. AutoScientist automates the full research loop so it doesn't have to.

@sarahookr and @sudip_r0y talk about why almost all frontier model training outside of a handful of labs has been a clear failure. Huge expectations. But poor results. There are a few key things that have gone wrong.

Co-founders @sarahookr and @sudip_r0y talk about one of the most repeated ideas in AI right now. The most valuable data isn’t public. It’s trapped inside enterprises and hard to use. The shift isn’t more data. It’s making existing data usable.

Today's AI stack is delivering big productivity gains, but it continues to suffer from serious shortcomings. CEO of @adaption_ai @sarahookr joins #BrainstormTech in June to discuss how we get from the stack we have to the stack we truly need. Apply to attend: bit.ly/3QBf762

Co-founders @sarahookr and @sudip_r0y talk adaptive intelligence. AI shouldn’t be model-centric. It should be task-centric. It should adapt to you.

Read more from co-authors @sarahookr, @sudip_r0y, and @m_ryabinin adaptionlabs.ai/blog/together-…

We believe that intelligence should not arrive preconfigured. @togethercompute is now available directly inside the Adaption platform, connecting Adaptive Data with large-scale training in a single workflow. One platform, end to end. Stop inheriting intelligence. Shape it.

At scale, volume isn't the problem. Precision that adapts to the real world is. @sarahookr and @sudip_r0y on why we built Adaptive Data.

Sign up: adaptionlabs.ai/blog/the-uncha…

The Uncharted Data Challenge closes Friday. $20,000 prize pool for open-source datasets that fill the gaps mainstream AI keeps missing. Evolve your data. Shape your AI.

Save your seat: luma.com/w1gfp1g3

Join us on May 18th in Singapore. Our Co-founder @sarahookr sits down with Leslie Teo, Senior Director of AI Products at @AISingapore. They'll discuss how we build AI that continuously learns, not just blindly scales compute.

Read more: adaptionlabs.ai/blog/forge

Only 10% of your data speaks AI. The other 90% is unstructured — invisible to the models making decisions about your business. All the progress in AI so far? Built on a fraction of what's actually out there. Today we're launching Forge, a feature of Adaptive Data, to extend adaptive intelligence to the 90%.