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Culture War Roundup for the week of May 8, 2023

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Firstly, can OP clarify if he's talking about 4 or 3.5? Secondly, look at what people are already doing in the field of law and earning discounts: https://twitter.com/jbrowder1/status/1652387444904583169

GPT-4 is, in my view, Generally Intelligent. I can ask it to submit a corporatese style job application for the hordes of Genghis Khan, I can have it dream up sequels to video games, it can manage moderately complex programming tasks and bugfix them, it can emulate the format of Grand Designs, write half-decent parts from the Simpsons... Aside from censorship and limitations with how much memory it can store in a conversation, is this not general intelligence?

Certainly there's confusion as to the definition of AGI. GPT-4 doesn't meet the qualification 'perform most human functions as good as or better than humans' because it can't draw or use a mouse, amongst other things. But in terms of matching human intelligence, it is basically there.

Human intelligence is not all it's cracked up to be. Consider that about half of the UK Parliament can't answer a basic probability question. GPT-4 has no problem with this, nor does GPT-3.5.

It asked the MPs what the probability is of getting two heads if you flip a fair coin twice.

Only 52% of those surveyed gave the correct answer of 25%. A third (33%) said the answer was 50%, while 10% didn’t know. The rest gave other answers.

Firstly, can OP clarify if he's talking about 4 or 3.5?

Apologies, I wrote this fairly early in the morning and forgot to include this information, I was using the free 3.5v.

GPT-4 can draw (albeit not well) if asked to output SVG or TikZ or some other human-readable graphics format.

I've tried a set of qualitative math/engineering questions on LLMs. The Bard and GPT-3.5 answers were about what I'd expect from an undergraduate starting to study the field: roughly 25% of the answers were true-and-useful, 50% true-but-not-useful (not a bad thing, just statements that were adding context to the answer rather than being the answer), 25% not-true (though even these were oversimplifications and natural misunderstandings, not utter hallucinations). If a human had given those answers I'd have considered them a kid worth mentoring but I wouldn't have expected them to save me any work in the near future.

The GPT-4 answers were better than I'd expect from a typical grad student who had just passed an intro class on the subject. Adequate depth, more breadth, and this time the statements weren't 25/50/25, they were about 75/25/0. I passed my questions to a friend's brother who had a subscription, but now I'm tempted to subscribe myself, give the thing my whole final exam, and see how it does on the quantitative + symbolic questions.