[symbolicAGI]

The Stockfish chess engine example nails it.

For AI researchers, the Bitter Lesson is not to rely on supervised learning, not to rely on manual data labeling, nor on manual ontologies nor manual business rules,

Nor on *manually coded* AI systems, except as the bootstrap code.

Unsupervised methods prevail, even if compute expensive.

The challenge from Sutton's Bitter Lesson for AI researchers is to develop sufficient unsupervised methods for learning and AI self-improvement.