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AI Socratic

AI Ascent 2026 by Sequoia Capital

May 31, 2026Posted by Federico Ulfo

Sequoia Capital's AI Ascent 2026 convened Greg Brockman, Andrej Karpathy, Demis Hassabis, Boris Cherny, Dmitri Dolgov, and more with 150+ leading founders and researchers to discuss the present and future of AI.

Fireside Chat: Sequoia × Karpathy

  1. LLMs enable new primitives: apps fully engulfed by LLMs, "install .md, not .sh", knowledge systems over arbitrary unstructured data.
  2. LLM jaggedness: a model can refactor a 100k-line codebase and still fail basic tasks — increasingly it’s about both verifiability and economics: frontier labs heavily optimize domains with strong reward signals and large TAMs.
  3. The agent-native economy: products decomposing into sensors, actuators, and logic; systems designed to be maximally legible to LLMs; and the rise of agentic engineering as a new discipline.

Sources: Full playlist, tweet