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Zetaphor
@zetaphor.com

The inevitable future of this technology is not putting it in the hands of a few large corporations. The *actually useful applications* are smaller in scope and TAM than what is required to sustain OpenAI/Anthropic. They're scrambling to find use cases that you *can't* just run at home on a 3060

ghost malone ergo propter bones@proptermalone.bsky.social

I think a lot of AI/corporate doomers are still fundamentally not understanding that open-source models you can run locally on consumer hardware are no worse than two years behind the frontier models and for most purposes a lot closer

Zetaphor
@zetaphor.com

It then naturally follows that there is a long tail of tasks that can be performed by even smaller models. Most of the useful work is not sexy "I one-shotted a SaaS and now make 1M ARR!", it's "I just automated a bunch of nuanced data classification and menial knowledge work" Useful != Profitable

Zetaphor
@zetaphor.com

Most of the real world applications I've done in this space for employers wouldn't make sense to have humans do because the labor cost was higher than the output value. When you have intern-level intelligence for effectively free it completely flips the equation on what is worth automating.

Zetaphor
@zetaphor.com

Not to mention a significant amount of these tasks *require* data privacy. The best the frontier labs can offer you is a hefty enterprise fee to get on their zero-data retention plan, and that's on top of the token costs you're already paying

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