Have you seen the work where they use another instance to fact check the first? The MS Research podcast made it seem like a really viable way to find hallucinations without really needing to code more. I’m curious if other people find that works or if MS researchers are just too invested in gpt.
I’ll check out that podcast but I’m deeply skeptical that one LLM can correct another since neither of them truly understands anything: it’s all statistics. Very detailed stats but still stats.
And stats will be wrong.
Before chatgpt released most Google AI engineers were looking into alternatives to LLMs as the limitations of an LLM were increasingly clear.
They’re convincing facsimiles of intelligence and a good tool for maybe 80% of basic uses.
But I agree with the consensus: they’re a dead end in our search for intelligence and their output is vastly overestimated
They’re treated like something more than they are because we anthromorphise everything, and in our brains we assume anything that can string a sentence together is intelligent. “Oh, it can form a sentence! That must mean it’s pretty much already general intelligence since we gauge the intelligence of humans by the sentences they say!”
Have you seen the work where they use another instance to fact check the first? The MS Research podcast made it seem like a really viable way to find hallucinations without really needing to code more. I’m curious if other people find that works or if MS researchers are just too invested in gpt.
I’ll check out that podcast but I’m deeply skeptical that one LLM can correct another since neither of them truly understands anything: it’s all statistics. Very detailed stats but still stats.
And stats will be wrong.
Before chatgpt released most Google AI engineers were looking into alternatives to LLMs as the limitations of an LLM were increasingly clear.
They’re convincing facsimiles of intelligence and a good tool for maybe 80% of basic uses.
But I agree with the consensus: they’re a dead end in our search for intelligence and their output is vastly overestimated
They’re treated like something more than they are because we anthromorphise everything, and in our brains we assume anything that can string a sentence together is intelligent. “Oh, it can form a sentence! That must mean it’s pretty much already general intelligence since we gauge the intelligence of humans by the sentences they say!”