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Culture War Roundup for the week of February 27, 2023

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I'm going to shamelessly steal @Scimitar's post from the Friday Fun thread because I think we need to talk about LLMs in a CW context:


A few months ago OpenAI dropped their API price, from $0.06/1000 tokens for their best model, to $0.02/1000 tokens. This week, the company released their ChatGPT API which uses their "gpt-3.5-turbo" model, apparently the best one yet, for the price of $0.002/1000 tokens. Yes, an order of magnitude cheaper. I don't quite understand the pricing, and OpenAI themselves say: "Because gpt-3.5-turbo performs at a similar capability to text-davinci-003 but at 10% the price per token, we recommend gpt-3.5-turbo for most use cases." In less than a year, the OpenAI models have not only improved, but become 30 times cheaper. What does this mean?

A human thinks at roughly 800 words per minute. We could debate this all day, but it won’t really effect the math. A word is about 1.33 tokens. This means that a human, working diligently 40 hour weeks for a year, fully engaged, could produce about: 52 * 40 * 60 * 800 * 1.33 = 132 million tokens per year of thought. This would cost $264 out of ChatGPT.

https://old.reddit.com/r/singularity/comments/11fn0td/the_implications_of_chatgpts_api_cost/

...or about $0.13 per hour. Yes technically it overlooks the fact that OpenAI charge for both input and output tokens, but this is still cheap and the line is trending downwards.

Full time minimum wage is ~$20k/year. GPT-3.5-turbo is 100x cheaper and vastly outperforms the average minimum wage worker at certain tasks. I dunno, this just feels crazy. And no, I wont apologize for AI posting. It is simply the most interesting thing happening right now.



I strongly agree with @Scimitar, this is the most interesting thing happening right now. If you haven't been following AI/LLM progress the last month, it has been blazingly fast. I've spent a lot of time in AI doomer circles so I have had a layer of cynicism around people talking about the Singularity, but I'll be damned if I'm not started to feel a bit uncomfortable that they may have been right.

The CW implications seem endless - low skill jobs will be automated, but which tribe first? Will HR admins who spend all day writing two emails be the first to go? Fast food cashiers who are already on their way out through self ordering consoles?

Which jobs will be the last to go? The last-mile problem seems pretty bad for legal and medical professionals (i.e. if an LLM makes up an answer it could be very bad) but theoretically we could use them to generate copy or ideas then go through a final check by a professional.

Outside of employment, what will this do to human relations? I've already seen some (admittedly highly autistic) people online saying that talking to ChatGPT is more satisfying than talking to humans. Will the NEET apocalypse turn into overdrive? Will the next generation even interact with other humans, or will people become individualized entirely and surround themselves with digital avatars?

Perhaps I'm being a bit too optimistic on the acceleration, but I can't help but feel that we are truly on the cusp of a massive realignment of technology and society. What are your thoughts on AI?

ChatGPT's words are not even close to equivalent to a human's words. You have peek under the hood a little bit to understand why. ChatGPT is a prediction engine that predicts the next word in a sequence (as would be typical in its training corpus), and then applies that capability over and over again. ChatGPT has zero capability to abstract and apply its reasoning to its own thought process. ChatGPT can't wait and think about a question for a while before it starts answering.

The LLMs will continue to get better as researchers throw more parameters at the problem, but this avenue is ultimately a dead end for pursing general intelligence. ChatGPT is a neat parlor trick, but it can only make impressive-looking tech demos so long as the context is kept very narrow. Play around with it a little, and the cracks start to show.

All this is not to detract from your main thesis. Artificial general intelligence is still coming for lots of jobs at some unknown point in the future, but don't confuse ChatGPT with the herald of the jobs-apocalypse.

Why are you so certain that human intelligence (at least in bulk) is not "predicting the next word in a sequence"?

Because we reason about concepts. Predicting the next word in a sequence is only the output filter that attempts to make said sequence intelligible to our interlocutor so that she may also reason about concepts in similar fashion. We're not perfect at it, but we're oriented toward something different.