The problem wasn’t LLMs at the core. It was building something that tricked primitive parts of human brains into anthropomorphism so effectively. Everyone attributes way more capability to AI than it really has because by its nature it can sound human through mimicry. It’s a great data science tool.
0 Boosts
0 Likes
@djohngo mathematically we should know better simply looking at entropy of languages - human language is an easy math problem
@hacks4pancakes @djohngo Sometimes I wonder which part of complexity theory - if any - somehow silently broke when the solution to an easy problem - aka LLMs - were used to - if true - solve a potentially hard math problem - e.g. Navier-Stokes - or if anything is fine if one just understands the training data of the LLM as part of the input in a Hartmain and Sterns sense.
@hacks4pancakes It's funny to me that the Turing Test turned out to be the lowest bar imaginable.