
Reaching AGI by Using the Human Feedback Loop
Human-style iteration gives LLMs a path to reliable AGI by pairing clear goals with self-measured loss functions.

Human-style iteration gives LLMs a path to reliable AGI by pairing clear goals with self-measured loss functions.

Building AI that excels at research with AlphaGo-style self-improvement might reach AGI faster than solving general intelligence directly.