ai-research

2 items

The Atlantic 2026-04-05-2

The AI Industry Wants to Automate Itself

Anthropic says 90% of its code is AI-written; Amodei says that speeds up workflows 15-20%. The gap between those numbers is the story: code generation was never the bottleneck. The real race among frontier labs isn't who automates coding fastest; it's who closes the "research taste" gap between rote execution and the judgment to know what's worth building. Even the incremental version of this race compresses model generations faster than institutions can adapt.

Fortune 2026-03-23-2

The Karpathy Loop: Autonomous Agent Optimization as Research Pattern

Karpathy's autoresearch ran 700 experiments in two days on a 630-line codebase: the result matters less than the pattern. The Karpathy Loop (agent + single file + testable metric + time limit) is the atomic unit of constrained autonomous optimization, and it generalizes to any problem with a measurable output and a modifiable code surface. The real competitive shift isn't building better agents; it's designing better constraints, metrics, and stopping criteria: taste becomes the bottleneck, not compute.