4 free resources on this topic. Everything here is free and hand-picked. You can also search within this topic.
TechCrunch reports on new risk-factor language in Anthropic's revised S-1 filing, which says the company may soon meet its own definition of recursive self-improvement — AI substantially building more capable AI — and that it has used AI to develop models whose capability jumps it did not recognize at the time.
Jürgen Schmidhuber's page tracing the idea of recursive self-improvement — systems that rewrite their own learning algorithms — back to his 1987 diploma thesis and later work.
MIT Technology Review report on recursive self-improvement — the idea that AI systems will soon rewrite and retrain themselves — and where the current evidence actually stands.
Why I recommend it: MIT Technology Review gives you a few free articles a month before a paywall. If you hit it, borrow via a library or your workplace subscription rather than paying at the door.
A free arXiv preprint on recursive self-improvement in AI agents trained inside evolving simulated worlds.
Why I recommend it: Technical, and central to the safety debate about systems that improve themselves.
