“We've got a state of the art reinforcement learning stack that allows us to run things at massive scale, inhale data at the optimal way, be able to kind of learn and…”
Training Data · David Silver and Lasse Espeholt of Ineffable Intelligence: A Superlearner for the Age of Experience
Play from 14:19
14:19
Audio streams from the publisher’s own feed. Verbatim does not host or copy it.
What was described
built a state-of-the-art reinforcement learning stack that can run at massive scale and ingest data optimally for continuous learning
Said nearby on the same subject
“We prioritized… a strong pre-training base… then amplified it with reinforcement learning at what we believe to be the largest scale… 10,000 GB-300 for four weeks run documented yet.”
ML
Misha Laskin ReflectionAI
No Priors: Artificial Intelligence | Technology | Startups ·
“You implement a minimum viable stack governed by strict data contracts… like enforced UTMs, taxonomy, lifecycle stages. It beats having this massive, drifting tech stack.”
“You have an AI economist ... two level reinforcement learning system ... you can now iterate billions of years of taxation and subsidization and see what is the actual best outcome.”
RS
Richard Socher
Super Data Science: ML & AI Podcast with Jon Krohn ·