Comment by theturtletalks
8 hours ago
Did I even mention AGI? All I’m saying is that we’re hitting a plateau with how good models are while harnesses are untapped potential. And with Pi, you can swap models like electricity companies. Yes for now, the electricity is better with some companies but this will stabilize.
And no I came up with the metaphor all on my own, send me the chat of you getting the LLM to come up with it. Why not argue based on merit instead of strawman and ad hominem attacks?
I’m afraid it’s a terrible metaphor, starting with the fact that LLMs are nothing like electricity, and the relation of harnesses to them is nothing like that of electronics to electricity, save perhaps one is a prerequisite of the other.
Harnesses (and the concept of agents before them) presuppose competence in LLMs which simply doesn’t exist.
“Just as electricity transformed almost everything 100 years ago, today I actually have a hard time thinking of an industry that I don’t think AI will transform in the next several years” - Andrew Ng
Is it just a coincidence that he works in the space and will directly benefit if this is true?
I didn’t come with the electricity idea, it was Sam Altman saying it will be like a utility down the line and metered[0]. What would the “electronics” be in your opinion?
0. https://www.businessinsider.com/sam-altman-ai-utility-electr...
Altman is a salesman selling flimflam to people who should know better.
His idea of metering is predicated on the thing he’s selling being AGI, it is not, and all his predictions have turned to dust.
Also that isn’t how metaphors work - they illuminate by comparison, if the comparison is not close they are not useful.
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> presuppose competence in LLMs which simply doesn’t exist.
Then how do you explain the wild success at using them for development?
Guided by humans, code generators which have ingested the worlds’ code and can recognise and generate patterns can be useful tools. I wouldn’t personally qualify it as a wild success as we are early and there are significant downsides.
That doesn’t make them intelligent agents which think independently.
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