Beyond text. Beyond static data.
Today, Adaptive Data is now multimodal.
Bringing advanced data optimization to image datasets.
Data built the last generation of AI. Adaptive Data is building the next.
You get a gpu. Andโฆ.. You get a gpu.
One of the biggest barriers to frontier AI is compute and know-how.
This month we remove both as obstacles. Computes on us. AutoScientist is on your side.
Join our beta program now.
Compute has been the great divider in AI.
For the next 30 days, AutoScientist is on us.
The science is in your hands, the compute is on the house.
Donโt inherit intelligence. Shape it.
Today we launched AutoScientist ๐ค๐ฉโ๐ฌ - a system that self-improves and automates the full research loop behind model training and alignment. Super proud of the team on this massive launch only 4 months after introducing Adaptive Data!!
@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.
We're hiring two roles at Adaption, both working directly with me:
Distributed Systems Engineer โ LLM inference at scale, data pipelines, GPU fleets
Applied Scientist โ efficient & adaptive ML (online learning, gradient-free methods), research that ships
Small team, hard problems. DMs open.
What is crazy is we adapt data so fast you can still join the competition today, think about a meaningful long-tail problem to work on and be in a position to win by this Friday.
So join us. :)
Big shoutout to @sudip_r0y for building incredibly fast infrastructure.
Incredible reading through ambassador applications. ๐ฅ
Letโs go. First round of acceptances will go out next week Friday.
Join us and shape the next era of intelligence.
Only 10% of your data speaks AI.
The other 90% is unstructured โ 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%.
Adaption is mapped in @a16z's continual learning landscape.
Every deployment interaction is a training opportunity.
The future belongs to AI systems that adapt to the world.