so similar to say, a redditor trying to sound smart by googling and debating another while both has no qualification on that topic, got it.
I wonder how much of that is just an inherent part of how neural networks behave, or if LLMs only do it because they learned it from humans.
More the latter. Neural networks have been used in biomed for about a decade now fairly successfully. Look into their use of genetic algorithms, where we are effectively using the power of evolution to discover new therapies, in many cases even new uses for existing (approved) drugs.
But ChatGPT has no way to test or improve any "designs", it simply uses existing indexed data to infer what you want to hear as best it can. The goal is to sound smart, not be smart.
That's actually a decently good analogy, though a random redditor is still smarter than ChatGPT because they can actually analyze google results, not just match situations and put them together.
so similar to say, a redditor trying to sound smart by googling and debating another while both has no qualification on that topic, got it.
I wonder how much of that is just an inherent part of how neural networks behave, or if LLMs only do it because they learned it from humans.
More the latter. Neural networks have been used in biomed for about a decade now fairly successfully. Look into their use of genetic algorithms, where we are effectively using the power of evolution to discover new therapies, in many cases even new uses for existing (approved) drugs.
But ChatGPT has no way to test or improve any "designs", it simply uses existing indexed data to infer what you want to hear as best it can. The goal is to sound smart, not be smart.
That's actually a decently good analogy, though a random redditor is still smarter than ChatGPT because they can actually analyze google results, not just match situations and put them together.