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> Why would he bring up tokens? If you continue reading, he explains it in the next sentence.
by InsideOutSanta 2mo ago
> Why would he bring up tokens?
If you continue reading, he explains it in the next sentence.
- simianwords 2mo agoI did. And he implies that cost per task increases. Otherwise there’s literally no reason to bring up tokens - that is an internal implementation detail.
- InsideOutSanta 2mo ago> Otherwise there’s literally no reason to bring up tokens - that is an internal implementation detail. I'm not sure if you're not aware of what he's referencing there, but the specific example he brings up is that Anthropic ostensibly kept pricing identical with new models, but changed the tokenizer, which made the model use more tokens for the same input and output text. So that's a case where, prima facie, the cost per task increased. Of course, this also depends on how verbose the model is and what harness you use, and so on. Correct me if I'm wrong; I think you believe that he makes an argument like "OpenAI decreased API pricing, but this decrease was actually secretly an increase in cost." But he does not. He's saying that even though cost-per-token is going down overall, the actual cost of using LLMs is in many cases going up, because there isn't a direct causal relationship between cost-per-token and the total cost of using LLMs. And he's entirely correct about that.