Skip to content
Longterm Wiki
All Source Checks
Citation

Leopold Aschenbrenner - Footnote 34

partial85% confidence

1 evidence check

Last checked: 4/3/2026

The claim of a 100,000x increase in effective compute between 2024 and 2027 is not explicitly stated in the source. It is implied through the discussion of orders of magnitude (OOMs) of progress per year, but not directly quantified as 100,000x. The claim that AI systems will surpass college graduates on many benchmarks by 2025-26 is not explicitly stated in the source. The source mentions that by 2027, models will be able to do the work of an AI researcher/engineer, which is a related but distinct claim.

Evidence — 1 source, 1 check

partial85%Haiku 4.5 · 4/3/2026
Found: According to Aschenbrenner, these trends combine to project a 100,000x increase in effective compute between 2024 and 2027. He argues that by 2025-26, AI systems will surpass college graduates on many

Note: The claim of a 100,000x increase in effective compute between 2024 and 2027 is not explicitly stated in the source. It is implied through the discussion of orders of magnitude (OOMs) of progress per year, but not directly quantified as 100,000x. The claim that AI systems will surpass college graduates on many benchmarks by 2025-26 is not explicitly stated in the source. The source mentions that by 2027, models will be able to do the work of an AI researcher/engineer, which is a related but distinct claim.

Debug info

Record type: citation

Record ID: page:leopold-aschenbrenner:fn34