Reading up on Beren Millidge

AI researchers contend that recursive self‑improvement is still far off, hampered by generalization limits, difficulty defining objectives, and alignment challenges rather than raw compute scaling.

Dwarkesh Patel argues that current AI models lack the continual learning and on-the-job adaptability of humans, making AGI distant, but he expects explosive progress once true AGI arrives within a decade or two.