Kogasa

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

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

Catch and then what? Return to what?

Still not enough, or at least pi is not known to have this property. You need the number to be “normal” (or a slightly weaker property) which turns out to be hard to prove about most numbers.

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

Bitcoin is more widely seen as a vehicle for speculation rather than a decentralized currency. Unlucky.

U good?

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

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.

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.

There’s a search field on the front page. The rest is blank because I used the (default) “exact match” option, so the rest of the page is (by random chance) filled with spaces. The search function presumably uses knowledge about the algorithm used to generate the pages to locate a given string in a reasonable amount of time, rather than naively looking through each page.

This already exists. https://libraryofbabel.info/

Your comment appears in page 241 of Volume 3, Shelf 4, Wall 4 of Hexagon: 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

Mesa is usually pretty quick to update, it’s just that stable distros won’t update mesa all that quickly. I assume most of them have some way to install a newer mesa from a community repo or something.

Docker is lighter and easier to manage than a VM. I run a collection of services as docker compose services inside a NixOS host VM. It’s easy to start, stop, monitor, update etc. even from a different computer (via ssh or docker contexts). It’s great.

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It’s just as easy to run in a Docker container and I would recommend this anyway.

What platforms would you like your app to run on? Then, which UI framework supporting those platforms would you like to use? Then, look at the framework’s documentation to find a sample starter project that you can run as an app, and modify it from there

What’s wrong with mssql besides licensing? It’s fast

Obfuscation is meaningless. It’s public info or it’s not. In this case it’s necessarily public

Not really a substantial opinion, but I have little hope that replacing a fairly well established Rust codebase with a brand new Java one will do much in terms of increasing contribution.