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Reading this as someone who switched over to ChatGPT after (and largely because of the changes made in) the Fable release, it reads a bit naive. Not only do I f
by pigpop 24d ago
Reading this as someone who switched over to ChatGPT after (and largely because of the changes made in) the Fable release, it reads a bit naive. Not only do I find Sol to be as good, if not better than, Fable it is also faster, better behaved and has a much more coherent writing style. You also don't randomly get the Opus downgrade. OpenAI seems to be pulling this off due to their partnership with Cerebras so I wouldn't make any comparisons to Moore's law just yet considering it seems like we're just getting started in that department. Anthropic could (and should) do the same thing. It certainly feels like model development is at a point where it would be worthwhile building special purpose silicon for the models we have now since they are capable enough that they would still be useful even when/if further advancements are made. If anything, I think Anthropic's problem has more to do with their micromanagement of what users can do with their models, they're creating an undue amount of overhead for themselves by over-policing usage and capabilities.
- r_lee 24d agoEtched is doing this. it seems like in the near future they'll actually ramp up production. not sure how much faster/economical compared to Cerebras but..
- TiredOfLife 24d agoThe Cerebras version of 5.6 is available only to select customers
- pigpop 24d agoYou're right, I should have clarified that they are still slowly integrating it and it isn't the thing running all models. I meant moreso that since they are planning on moving more usage over to Cerebras wafers, they're able to relieve some pressure on their predicted expenses while also moving some current workload (ultrafast and codex spark) onto them freeing up Nvidia GPUs.
- bitmasher9 23d agoAnthropic -> OpenAI switcher here. I fully expect I’ll switch back to Anthropic, or another model in the next 90 days. The fact that we are switching indicates that the models aren’t ready to be baked into silicon. I wonder if they will ever been that good, or if the lifespan of silicon is longer than the lifespan of a model before it needs to be retrained.