recursive-self-improvement
A self-improving coding agent that compares notes with a rival lineage News
Most self-improving coding agents rewrite themselves after a single failure, throwing away the archive of everything they have already tried; a new method adds two edit operations that use multiple trajectories and a competing agent's evidence instead.
Models that rewrite their own harness gain 16 points and flunk office work News
Evo-Bench holds the model and budget fixed and measures only what improving its own scaffolding is worth, finding gains of up to 16.6 points that come close to human-engineered baselines everywhere except tasks with prescribed workflows.
Greenblatt puts his median at five years of progress in one News
Redwood Research's Ryan Greenblatt told Dwarkesh Patel that once AI matches top human AI researchers the feedback loop could compress four or five years of progress into a single year, and that what models still lack is not deep insight but hands-on experimental taste.
An agent edited its own runtime for 161 days News
Ouroboros is a coding agent whose tools, prompts and core implementation change through reviewed commits that become the runtime for its next task, and its longest public deployment ran live for 161 days across seven surfaces.
An open 35B model trained to evolve its own machine-learning code nearly doubled its base model's medal rate News
Frontis-MA1, released with full weights and stack, raises its base model's medal average on a machine-learning engineering benchmark from 39.4% to 60.6%, and to 71.2% with a stronger search - all within a 12-hour budget on a single consumer GPU capped at 12GB.
DeepMind Sketches Four Roads From Human-Level AI to Superintelligence News
A new report from senior DeepMind researchers lays out four ways AI could push past human-level ability -- and argues the leap is more likely to be a steady climb than a single dramatic jump.
The AI That Now Writes Most of Its Maker's Code News
Anthropic says more than 80 percent of the code it ships is now written by its own model, Claude, and the more interesting numbers are about judgment.
Recursive self-improvement: when AI starts building AI Lesson
The idea that an AI good enough at AI research could improve itself, and the improved version could improve itself again, faster each round. Here's what it actually means, why a major lab now says we're getting close, and why "close" is not the same as "here."