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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.

by rasputin2437 hours ago|

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“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

by Avicebron6 hours ago|

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Is it just a coincidence that he works in the space and will directly benefit if this is true?

by theturtletalks7 hours ago|

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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...

by grey-area6 hours ago|

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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.

by theturtletalks6 hours ago|

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If it is metered and like a utility, Sam Altman will not benefit alone. All the models will have plateaued and you can swap for any of them. Then the only differentiator is the harness.

I don’t believe in AGI, but that doesn’t mean I don’t find AI useful. I just understand that the correct harness can take them to the next level.

by qarl25 hours ago|

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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?

by grey-area3 hours ago|

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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.

by qarl22 hours ago|

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Would you like to see some of my own examples of wild success?

I have a system that entirely reverse engineers old arcade games. Creates semantic symbol mappings that were considered impossible just a couple years ago.

Granted, it took me a couple weeks to build the system.

From impossible to a couple weeks in just a couple years.

Would you like to see it or continue to pretend these things don't exist? Your call.

(It's finding the coolest stuff - the anti-tampering hacks they put into the old machines is fascinating.)