Audience: Intermediate AI users (comfortable with transformers, RLHF, and agent pipelines)
Trigger: @somewheresy's post "I am begging more people to study cybernetics and follow @thrialectics" (Oct 2026), which linked to General Reasoning's RLCR release and an Avalon-M1 video talk.
Date: written 2026-10-24, after web research + local transcript of the video (/tmp/rlcr-plain.txt)
On Oct 23, 2026, General Reasoning (GR, a small team) released RLCR — Reinforcement Learning from Collective Rewards, a recipe for training language models to work as a company: a CEO agent hires specialist agents, all talk on a shared message board with a shared workspace, and every agent receives the same team-level reward — there is no per-agent credit assignment. They used it to train Avalon-M1 (120B total / 12B active, from a Nemotron-3-Super base), and the team's headline clai