kogasa

joined 1 year ago
[–] kogasa@programming.dev 2 points 4 weeks ago

I'm stuck on the homological algebra exercise

[–] kogasa@programming.dev 0 points 1 month ago

Don't think it saves bandwidth unless it's a DNS level block, which IT should also do but separately from uBO

[–] kogasa@programming.dev -1 points 1 month ago

No, it isn't

[–] kogasa@programming.dev 36 points 2 months ago* (last edited 2 months ago) (1 children)

This has nothing to do with Windows or Linux. Crowdstrike has in fact broken Linux installs in a fairly similar way before.

[–] kogasa@programming.dev 14 points 2 months ago (2 children)

Sure, throw people in jail who haven't committed a crime, that'll fix all kinds of systemic issues

[–] kogasa@programming.dev 17 points 2 months ago

Catch and then what? Return to what?

[–] kogasa@programming.dev 3 points 2 months ago

It sounds like you don't understand the complexity of the game. Despite being finite, the number of possible games is extremely large.

[–] kogasa@programming.dev 17 points 2 months ago

Well, we knew he was a shitbag beforehand, so that's not really what's in question

[–] kogasa@programming.dev 2 points 3 months ago (2 children)

Your first two paragraphs seem to rail against a philosophical conclusion made by the authors by virtue of carrying out the Turing test. Something like "this is evidence of machine consciousness" for example. I don't really get the impression that any such claim was made, or that more education in epistemology would have changed anything.

In a world where GPT4 exists, the question of whether one person can be fooled by one chatbot in one conversation is long since uninteresting. The question of whether specific models can achieve statistically significant success is maybe a bit more compelling, not because it's some kind of breakthrough but because it makes a generalized claim.

Re: your edit, Turing explicitly puts forth the imitation game scenario as a practicable proxy for the question of machine intelligence, "can machines think?". He directly argues that this scenario is indeed a reasonable proxy for that question. His argument, as he admits, is not a strongly held conviction or rigorous argument, but "recitations tending to produce belief," insofar as they are hard to rebut, or their rebuttals tend to be flawed. The whole paper was to poke at the apparent differences between (a futuristic) machine intelligence and human intelligence. In this way, the Turing test is indeed a measure of intelligence. It's not to say that a machine passing the test is somehow in possession of a human-like mind or has reached a significant milestone of intelligence.

https://academic.oup.com/mind/article/LIX/236/433/986238

[–] kogasa@programming.dev 4 points 3 months ago

I don't think the methodology is the issue with this one. 500 people can absolutely be a legitimate sample size. Under basic assumptions about the sample being representative and the effect size being sufficiently large you do not need more than a couple hundred participants to make statistically significant observations. 54% being close to 50% doesn't mean the result is inconclusive. With an ideal sample it means people couldn't reliably differentiate the human from the bot, which is presumably what the researchers believed is of interest.

[–] kogasa@programming.dev 3 points 3 months ago (1 children)

I don't really query, but it's good enough at code generation to be occasionally useful. If it can spit out 100 lines of code that is generally reasonable, it's faster to adjust the generated code than to write it all from scratch. More generally, it's good for generating responses whose content and structure are easy to verify (like a question you already know the answer to), with the value being in the time saved rather than the content itself.

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