Earlier quoted context omitted.
I just wanted to share an essay I liked. I didn't think you'd pay it much mind. But I can see now that you are a person devoted to science. If you want to know what I believe, I think computers in the 50's were intelligent. I think gpt2 probably qualified as agi if you take the meaning of the acronym literally. At this point we've blown so far past all expectations in terms of intelligence that I've come to agree wit…
To continue my earlier comment... I prefer not to call an LLM "intelligent" much less "outrageously intelligent". Why? The main reason is communication clarity -- and by communication I mean the notion of a sender communicating a meaning to a receiver. Not just symbolic information (a la Shannon), but a faithful representation in the recipient. The phrase "outrageously intelligent" can have many conflicting interpret…
The closest thing we have to a definition for intelligence is probably the LLMs themselves. They're very good at predicting words that attract people. So clearly we've figured it out. It's just such a shame that this definition for intelligence is a bunch of opaque tensors that we can't fully explain.
LLMs don't just defy human reasoning and understanding. They also challenge the purpose of intelligence itself. Why study and devise systems, when gradient descent can figure it out for you? Why be cleverer when you can just buy more compute?
I don't know what's going to make the magical black pill of machine learning more closely align with our values. But I'm glad we have them. For example, I think it's good that people still hold objectivity as a virtue and try to create well-defined benchmarks that let us rank the merits of LLMs using numbers. I'm just skeptical about how well our efforts to date have predicted the organic processes that ultimately decide these things.