2 sources filed · EN 2
AECI (Anthropic's version of the Epoch Capabilities Index) has grown 1.9x faster since a breakpoint estimated at 7 October 2025, roughly two years of historical progress in one year.
≈12xaverage self-reported staff uplift from the most capable internal model, October 2026 (loose evidence)
Experiment 1: four PPO networks of identical shape (17,253 weights) trained on grid Breakout, Pong, Pac-Man and Freeway.
7.9% to 48.1%Qwen3.5-0.8B on MATH-500 after GPT-6 Astra edited its weights, with 50 forward passes and no gradients
1 source filed · EN 1
Each agent received 3,000 GPU-hours on up to 50 GPUs and a 10 billion-token inference budget, in a sandbox without internet access, with a codebase scrubbed of SDPO.
35%share of the human method's gains reached by the best uncontaminated model (GPT-5.6 Sol), scored generously; 15% when only in-scope changes count