[gen220]

This is genuinely an incredible proof-of-concept; the business implications of this demo to the AI labs and all the companies that derive a ton of profit from inference is difficult to understate, really.

I think this is how I'm going to get my dream of Opus 3.7 running locally, quickly and cheaply on my mid-tier MacBook in 2030. Amazing. Anthropic et al will be able to make marginal revenue from licensing the weights of their frontier-minus-minus models to these folks.

[g-mork]

I do like the idea of an aftermarket of ancient LLM chips that still have tons of useful life on text processing tasks etc. They don't talk about their architecture much, I wonder how well power can scale down. 200W for such a small model is not something I see happening in a laptop any time soon. Pretty hilarious implications for moat-building of the big providers too.

[gen220]

Yea I mean this is the first publishable draft of a startup cooking on this.

I'm confident there are at least 1-2 OOMs of improvement to come here in terms of the (intelligence : wattage) ratio.

I really thought we were going to need to see a couple of dramatic OOM-improvement changes to the model composition / software layer, in order to get models of Opus 3.7's capability running on our laptops.

This release tells me that eventual breakthrough won't even be strictly necessary, imo.