Ryan Greenblatt
Author of the narrated LessWrong post and researcher who investigated how recent LLMs use filler tokens and problem repeats to improve no‑CoT math performance; provides the primary narration and explanation throughout the episode.
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Apr 6, 2026 • 30min
“AIs can now often do massive easy-to-verify SWE tasks and I’ve updated towards shorter timelines” by ryan_greenblatt
Ryan Greenblatt, AI researcher who updates timelines for advanced systems. He explains why short, easy-to-verify software tasks are now much easier for AIs and how that pushes his timeline estimates much earlier. He walks through what makes those tasks verifiable, limits like taste and scaffolding, hands-on attempts to automate safety research, and implications for large-scale SWE, R&D, and cyber work.
