adaption
200 posts
Building extremely efficient intelligence that evolves with our world.
- The best models don't just win benchmarks. They release their weights. You don't need 50 researchers. You need the right automation. AutoScientist handles the loop. You own the intelligence.
- Most AI development is still manual. AutoScientist continuously experiments, adapts, and optimizes datasets and training workflows so every run improves the next. Not just better models. Better systems for building them.
- The most overlooked factor in model training? Data quality. Co-founder @sudip_r0y on why model failure modes start with the data and why targeting them directly is Adaption's first pillar.
00:00 - Build the best frontier AI model for healthcare. The AutoScientist Challenge Healthcare category is open. $50K in challenge prizes.. Part 1 closes July 5.
- When you learn to scuba dive, you don't forget how to write. That's what we want from AI. Continuous learning has been unsolved for 30 years. @sarahookr sits down with @MilksandMatcha at @cerebras to explain why solving it can't wait.
00:00Full conversation here: - AI today is a monolith. Co-founder @sudip_r0y on why one static model can't meet every community, context, or need.
00:00 - Most AI systems perform. AutoScientist improves. Automate the research loop. Compound progress with every run.
00:00 - The AutoScientist Challenge is open. Part 1 runs until July 5. Finance, healthcare, language, legal and marketing. $50K in prizes. Free compute. Four weeks. Don’t wait for someone else to build it.
- The internet was supposed to summon what you need. Instead: hundreds of tabs. AI should fix that. Co-founder @sarahookr explains the interface should adapt to you, not the other way around.
00:00Watch the whole video:





