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Thank you for sharing. It makes a lot of sense to focus on "how and why some people may use this technology to cause great economic harm" instead of "this technology causes harm." It's not an LLM's fault if for-profit hospital owners want to use it to cut costs instead of improve outcomes.

Polemical speech, but with interesting arguments. As a climate scientist, I was a bit amused by this throwaway comment: "We'll have a lot of cheap GPUs, which'll be good news for, say, effects artists and climate scientists" Unfortunately most climate code still uses Fortran and runs poorly on GPUS!

Architecturally are climate models similar to weather models? Could approaches like WeatherNext form the basis for new climate models?

NeuralGCM is an atmospheric model, not a climate model (despite the headline). Climate scientists are busy building GPU friendly models using C++, like the DOE SCREAM model. But we still have ways to go.

Thank you, I enjoyed reading this. The only weak point, in my mind, is how he argues near the end that AI gaining sentience is "absurd", because it's just a "word-guessing program".

True. But how do we know that the human brain just isn't one of these, too? The only arguments I've heard for the brain being qualitatively different all sounded quite similar to "I just know it".

I'm not convinced. plausibly: a human mind contains an important system that's quite close to a word guessing program with a lot of words (and the way it gets good at predicting the next word is that it encodes/is endowed with a model of the world those words originated in)

either LLMs are a worthy step on the path to AGI, or they are a local and extraordinarily-wasteful maxima we'll know when AGI is achieved, and probably no sooner :) but I think folks in both camps should "devil's advocate" their own thinking, what if the other folks are right?

theconversation.comA neuroscientist explains why it’s impossible for AI to ‘understand’ languageDescribing artificial intelligence as having neural networks and understanding language has implications for how we understand both AI and the human brain.

it’s a lot more cogent than most AI critiques I read, although I think he’s way off about the “when the bubble bursts it won’t be cost-effective to run frontier models” this strikes me as pretty blinkered; inference is cheap!

sure, but you could freeze frontier models where they are today and still get a ~decade of applications out of it.

Absolutely... But you can't freeze frontier models where they are today and still get sufficient profits to justify existing capex. You have to train new ones sufficiently better than existing ones to justify capex, and once the bubble bursts these hype men won't be able to.

I dared to criticize two professors this week for their facile anti-AI arguments and was told I am a "shill" and a "ChatGPT addict". Reading some of their anti-AI arguments makes me think maybe ChatGPT really would do a better job 🙄 To me, this article is compelling and frightening.

A great read. Major props to UW (Go Huskies) for hosting Cory Doctorow, many amazing thinkers come out of that place. I enjoyed reading enshittification and look forward to reading the forthcoming “Reverse Centaur's Guide to Life After AI”. Thanks for sharing the piece, Simon!

Okay I finally got the time to go through it. I'm so ready for some post-AI-hype takes on AI. I like this as overall a pretty balanced take on AI skepticism! Definitely some good points I hadn't thought of, like the purpose of AI art is just to convince the public AI is cool.

The fact Fiverr existed way before AI is enough evidence that the cost of AI image and video generation probably doesn't outweigh the cost savings of it 🥲 He also has an interesting point about how to pop the bubble that I feel wasn't quite finished.

Employees as “reverse centaurs” is the culmination of Marx’s thoughts on worker alienation. To me, even worse is the “life alienation” we all experience as consumers. Every time you “listen carefully because our options have changed” you make yourself a reverse centaur. We serve corporate machines.

I agree with this almost in its entirety. I would add that some of the criticisms are endemic to our corporatist economy and not just the AI industry. Our western democratic economic system cannot withstand oligarchs or multi-trillion dollar corporations, in the AI field or anywhere else.