I might’ve missed it, but why was Fable 5 tested on high while Opus 5 was tested on max? Seems like quite a few of them aren’t on the same effort setting as well. Although effort doesn’t really matter anymore since they can change it dynamically, seems like that might be viewed as an experimental error to some.
Basically they do 8 runs trying to optimize to under 3.28 loss in the fewest training steps possible under time/token constraint. I dunno why 18 * 8 != 153 (it's 144)
I misread the title and thought it would be about the (for lack of a better term) NanoGPT speedrun[1]. Which previous to the article was meant to be the world speed records for Andrej Karpathy's GPT-2 (small) reproduction.
I might’ve missed it, but why was Fable 5 tested on high while Opus 5 was tested on max? Seems like quite a few of them aren’t on the same effort setting as well. Although effort doesn’t really matter anymore since they can change it dynamically, seems like that might be viewed as an experimental error to some.
Neat!
The graphs show the "best validated result" for each model. I wonder how much variation there is between runs for a model?
“We ran 153 autonomous runs across 18 frontier models on the nanoGPT optimizer speedrun.”
Uh.. okay.. but whats a run… read blog
“We want to measure how well frontier models can conduct research….””we ran 153 autonomous runs on the nanoGPT optimizer speedrun across”
Okay but what is a optimiser run and what connection does it have to being good at research?
“For comparison, Anthropic's internal automated AI R&D evaluation optimizes a model on a CPU node,”
So I should go look what Anthropic was doing to understand?
Why not just explain what it means in their blog..
I think that's explained here:
https://www.primeintellect.ai/blog/measuring-autonomous-rese...
Basically they do 8 runs trying to optimize to under 3.28 loss in the fewest training steps possible under time/token constraint. I dunno why 18 * 8 != 153 (it's 144)
I misread the graph and genuinely thought you put NanoGPT where Fable is.
Lol.
I misread the title and thought it would be about the (for lack of a better term) NanoGPT speedrun[1]. Which previous to the article was meant to be the world speed records for Andrej Karpathy's GPT-2 (small) reproduction.
1. https://github.com/KellerJordan/modded-nanogpt#world-record-...