Nathan Lambert says weak benchmarks bottleneck recursive AI self-improvement

Nathan Lambert, posting on X as @natolambert, says a lack of good enough benchmarks is a bottleneck for recursive self-improvement, the process described as an intelligence explosion.

He also says existing benchmarks can still be used to make models much cheaper. The post is a single report, and the fact record contains no further detail on the benchmarks or the cost reductions he describes.