Reading up on Redwood Research

The piece contends that AI progress is driven chiefly by algorithmic advances and smarter data curation, not merely more data or human expert labels, citing Greenblatt and Bi.

The discussion explores whether automating AI R&D could trigger recursive self-improvement, potentially yielding years of progress in months, with debate on verifiability, data bottlenecks, and alignment risks.