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This is a common argument to support the usage of LLMs: "Well, humans do it too." We have many rules, regulations, strategies, patterns, and legions of manager
by danrob 2y ago
This is a common argument to support the usage of LLMs: "Well, humans do it too."
We have many rules, regulations, strategies, patterns, and legions of managers and management philosophy for dealing with humans.
With humans, they're incorrect sometimes, yes, and we actively work around their failures.
We expect humans to develop over time. We expect them to join a profession and give bad answers a lot. As time goes on, we expect them to produce better answers, and if they don't we have remediations to limit the negative impact they have on our business processes. We fire them. We recommend they transfer to a different discipline. We recommend they go to college.
Comparing the successes and failures of LLMs to humans is silly. We would have fired them all by now.
The big difference is that computers CAN get every single question correctly. They ARE better than humans. LLMs are a huge step back from the benefits we got from computers.
- taylodl 2y ago> The big difference is that computers CAN get every single question correctly. I emphatically disagree on that point. AFAIK, nobody has been able to demonstrate, even in principle, that omniscience is possible over a domain of sufficient complexity and subtlety. My gut tells me this is related to Gödel's Incompleteness Theorem.
- nunez 2y agoAlso, humans can say "I don't know," a skill that seems impossible for LLMs
- stavros 2y agoWhat's more useful to me is "I'm not sure" or "I'm very sure", but LLMs can't provide you with a level of certainty. They're very sure about everything, including things they make up.