| ▲ | staunton 3 days ago |
| > models deployed in critical applications such as finance, law, and healthcare. We went really quickly from "obviously noone will ever use these models for important things" to "we will at the first opportunity, so please at least try to limit the damage by making the models better"... |
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| ▲ | devoutsalsa 3 days ago | parent [-] |
| Today someone who is routinely drug tested at work is being replaced by a hallucinating LLM. |
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| ▲ | thedanbob 3 days ago | parent [-] | | To be fair, the AI probably hallucinates more efficiently than the human. | | |
| ▲ | daveguy 3 days ago | parent [-] | | Nope. The human neural network runs on about 20 watts of power. The LLM is vastly less efficient than the human version. And that's just the inference -- if you consider training it's much worse. | | |
| ▲ | mminer237 3 days ago | parent | next [-] | | Humans are more than just brains. The average American human costs about $50,000/year to run. | | |
| ▲ | afiori 3 days ago | parent [-] | | That is how I like to think about human lives, as a cost, to be minimized. | | |
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| ▲ | hx8 3 days ago | parent | prev [-] | | Sure the brain runs on low power but it requires an entire body of support systems, extensive daily downtime maintenance, about twenty five years of training, and finally requires energy input in an incredibly inefficient format. |
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