Three Steps to Build a Frontier Model: Clean Data, Build Evals, Automate at Scale
yunta_tsai · x · 2026-08-10
An AI practitioner outlines three steps to build a frontier model: first, inspect and scrub the data; second, build an eval that can distinguish good data from bad; third, do the first two reliably, autonomously, and at scale. Complete these steps and you have a frontier model.
More from AGI Musings
- Borrowing from Law: Establishing Standards for AI Instruction Interpretation — dhadfieldmenell · 2026-08-11
- Peer Review is Overwhelmed: Can it Survive the AI Era? — JackFisherBooks · 2026-08-11
- e/acc Voice: Those Pushing to Pause AI Development Are 'Enemies of Humanity' — DeryaTR_ · 2026-08-11
- DHH Claims Humans Will No Longer Read or Write Code in 5 Years — RealGeneKim · 2026-08-11
- US Open Models to Outcompete Chinese Labs, Forcing Ecosystem Re-evaluation — qinzytech · 2026-08-11
- Karpathy: Hybrid Setup of Cloud Executive Intelligence and Local Models is Very Appealing — karpathy · 2026-08-11