I’m just eyeballing the rate of algorithmic progress while in the computer vision case, we can at least look at benchmarks and know the cost of training compute for various models.
My sense is that you have generalization issues in the compute vision case while in the frontier LLM case you have issues with knowing the actual numbers (in terms of number of employees and cost of training runs). I’m also just not carefully doing the accounting.
I’d be interested to hear more about this.
I don’t have much to say here sadly, but I do think investigating this could be useful.
I’m just eyeballing the rate of algorithmic progress while in the computer vision case, we can at least look at benchmarks and know the cost of training compute for various models.
My sense is that you have generalization issues in the compute vision case while in the frontier LLM case you have issues with knowing the actual numbers (in terms of number of employees and cost of training runs). I’m also just not carefully doing the accounting.
I don’t have much to say here sadly, but I do think investigating this could be useful.