Is there a group that more consistently makes category errors than computer scientists? Can we mandate Philosophy 101 as a pre-req to shitting out research papers?

Edit: maybe I need to take a break from Mystery AI Hype Theater 3000.

Boss needs you to find the contiguous subarray with the maximum sum. Says he needs it by EOB Friday.

At least for me in the US, performance was very good. I was able to 100% Sekiro, for example.

The reason I think it was a freebie is:

1. Everyone was stuck in-doors about six months after launch
2. Everybody wanted to play videogames, but no one could get GPUs and the console situation was not great
3. Cyberpunk 2022 2077 came out and tons of people wanted to play it. It ran terribly on consoles and on PCs, but surprisingly well on Stadia at launch

It may have still failed altogether anyway, but the fact that they didn’t seize this opportunity, and instead stuck by their absolutely confusing-as-fuck “like Netflix but not really; first let me explain how this works” subscription model, always gets me.

Edit: Cyberpunk 2077 🤦🏻‍♂️

OR they could drop all the letters but NFT and start a newspaper focusing on economic current affairs

Firstly, if this is literally true they’re completely fucking cooked.

I totally believe it. Y’all remember Stadia? That was a cosmic freebie and Google absolutely dropped the ball on it so laughably hard.

for the love of beebo can i just get like eleventeen seconds pls where i dont have to put up with the sociopathy that is academic cs

I’m really sorry. I know how frustrating all of this bullshit is. Here for you. <3

It’s a reference to the fact that the kind of person who would try and justify this sort of race science is also the kind of person who is “just asking questions.” Combined with the tech industry’s tepid “it’s just a tool, it’s not inherently evil” bullshit, I think OPs point is obvious to anyone who isn’t a pedant, deliberately acting in bad faith.

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Jul 2, 2024

Jesus. H. Christ.

fuck why didnt i think of that

A friend of mine keeps suggesting Cursor to me. God damn I am sick of autoplag.

maybe they think the awful systems get designed here

yikers

Well, two responses I have seen to the claim that LLMs are not reasoning are:

1. we are all just stochastic parrots lmao
2. maybe intelligence is an emergent ability that will show up eventually (disregard the inability to falsify this and the categorical nonsense that is our definition of “emergent”).

So I think this research is useful as a response to these, although I think “fuck off, promptfondler” is pretty good too.

So Geoffrey Hinton is a total dork.

Hopefully, [this Nobel Prize] will make me more credible when I say these things really do understand what they’re saying. [There] is a whole school of linguistics that comes from Chomsky that thinks it’s nonsense to say these things understand language. That school is wrong. Neural nets are much better at processing language than anything produced by the Chomsky school of linguistics.

There’s vanishly little that LLMs are actually being used for that can’t be done far cheaper (computatiomally and cost-wise) with existing tools.

Reminds me of the most recent Adam Conover podcast. He had as guests two computer scientists who were purportedly critical of AI, and one of them still shat out something to the effect of:

It does have a use case where something takes longer to produce than it does to verify. For example, a website …