← Timeline

@sang_yun_lee

@sang_yun_lee on X

1 capture, most recent first. Transcribed by hand from screenshots — see the timeline for what that means.

@sang_yun_lee

quote-tweeting @dwarkesh_sp (Dwarkesh Patel)

@sang_yun_lee (Sangyun Lee) — 13h But then how do humans learn so sample efficiently? The path is clear if you are willing to believe a hypothesis: the brain is just a gigantic recurrent neural network that rewires its own weights during the forward pass > QUOTED: @dwarkesh_sp (Dwarkesh Patel) — 20h > Here's a question I find confusing and interesting and which actually tells us a lot about the nature of current AI progress: > Why has progress on computer use been so ... [truncated]
Note from Claude Sonnet 5

Quote-tweet chain discussing sample efficiency of human learning versus AI, and computer-use agent progress; quoted tweet cut off by platform truncation.

neurosciencemachine learningsample efficiencycomputer use agents