DeepMind's Andrew Trask: Scaling Laws Are Pushing AI From Monolithic Models to Protocols
iamtrask · x · 2026-07-30
DeepMind's Andrew Trask discusses how scaling laws are reshaping the future architecture of AI. He notes that as single companies hit bottlenecks in data, compute, and talent, AI is evolving from a massive monolithic "program" into a "protocol."
By combining models from multiple providers, we implicitly integrate the resources they were trained on, yielding faster and better models at lower costs. Trask emphasizes that ensembling top-tier models will always win for absolute accuracy, while mixing open and closed models will quietly dominate the Pareto frontier for price-to-performance ratio.
More from AGI Musings
- AI-Powered Founders School Guarantees Teens $1M Profit or Tuition Refund — nateliason · 2026-07-30
- Cambridge Expert Warns of Increasing AI Agent Loss of Control Incidents — S_OhEigeartaigh · 2026-07-30
- AI Didn't Take the Job, It Took the Hours Spent Making It Look Hard — oykun · 2026-07-30
- The Essence of Tech Learning: Understanding Tradeoffs Outlasts Memorizing Facts — Franc0Fernand0 · 2026-07-30
- Altman Admits AI Job Apocalypse Hasn't Happened: Humans Still Value Trust — taherdhanera · 2026-07-30
- Blogger Predicts Doom for Apple Without Frontier AI, Claims OpenAI Will Dominate Hardware — iruletheworldmo · 2026-07-30