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Joined 4 years ago
Joined 4 years ago
Then I realized that wasn’t an optical illusion and instead just part of the setup…
Surely, even if you’re just using open weights models, it should theoretically be cheaper to use them in a highly optimized cloud architecture(even with vendor markups) rather than each person serving their own models from much less efficient (and more importantly, much less consistent volume) self-owned “server under your desk”?
But isn’t Fable supposed to be another step change? I never used it, myself.
Tbh, at this point I think top tier models are smart “enough” (I’m sure this will look antiquated in a year), and the way to give me MORE noticeable improvement is to make them much faster rather than much smarter. Or even a way to automatically and accurately pick faster models when it makes sense. I know that IDE’s have Auto modes, but it’s not something that I trust right now to pick smart+fast instead of picking “maybe smart enough”+”cheaper for harness owner”
Show me the incentive structure and…
I was listening to a podcast a couple days ago and Brad Gerstner was on and mentioned that with how AI is boosting productivity that perhaps one member of a household would be able to start staying home from work if they wanted. I shut off the podcast after that (to be fair, the podcast just seemed to be one massive SpaceX IPO pump).
It’s just so divorced from reality and every new advancement is just making *higher expectations for doing more work*.
The unfortunate reality is: Companies that are selling ai will sell that ai will make life easier. Companies that are buying ai will demand more from employees using ai (why else would they buy it?).
And the bigger thing here is that this is all cached after it’s downloaded the first time.