More partial credit on the second to last point:
https://home.treasury.gov/news/press-releases/jy2766
Aside: I don’t think it’s just that real world impacts take time to unfold. Lately I’ve felt that evals are only very weakly predictive of impact (because making great ones is extremely difficult). Could be that models available now don’t have substantially more mundane utility (economic potential stemming from first order effects), outside of the domains the labs are explicitly targeting (like math and code), than models available 1 year ago.
On Jan 8 2024, I wrote a Google doc with my AI predictions for the next 6 years (and slightly edited the doc on Feb 24). I’ve now quickly sorted each prediction into Correct, Incorrect, and Unclear. The following post includes all of my predictions for 2024 with the original text unedited and commentary in indented bullets.
Correct
Incorrect
Unclear
Conclusion
The main pattern I notice looking back at my 2024 predictions was that benchmarks and capabilities increase quickly, but real world impacts (especially societal backlash and protests) are slower than I’d expect.