this post was submitted on 23 Nov 2023
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Machine Learning
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I know very little about ML (essentially nothing, I have a background in economics and, a bit, of statistics), but isn't AGI still miles away from these models?
Like, my understanding of LLMs is that they essentially "predict" the right word to respond to a prompt and then write a new word based on the previous one and so on. Actual human level intelligence seems to me to be a degree of complexity higher.
Does it? In what quantitative way?
I dunno. I am asking dude
Im not that clued up either. But given how the 'predict the next word' method trivially enables the wonders of AI photo, video, audio, code, etc. generation it's not inconceivable that it can also be extended to areas like logic, cognition.
The rhetorical question of other guy is actually quite a good one. Since predicting the next best word alone already seems to do such a great job of convincing us of intelligence, perhaps the onus is on us to describe how our intelligence is anything more than essentially a predictor of next words.