195·
4 months agoSure, throw people in jail who haven’t committed a crime, that’ll fix all kinds of systemic issues
Kogasa
- 0 Posts
- 43 Comments
Joined 1 year ago
Cake day: June 12th, 2023
You are not logged in. If you use a Fediverse account that is able to follow users, you can follow this user.
Catch and then what? Return to what?
It sounds like you don’t understand the complexity of the game. Despite being finite, the number of possible games is extremely large.
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.
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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
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.
It could still be rust. Code is always the easy part. Design and organization and funding are hard
Not sure I understand. How could there possibly be a solution? Isn’t this an inherent problem with federation? You can’t un-share information
It is better to switch to Firefox. But chromium forks can generally do whatever they want, it’s just a matter of maintenance burden. e.g. nothing is stopping a Chromium fork like Brave from running a manifest v2 compatible appstore, but it’ll cost money to make, maintain, and operate, plus you have less discoverability as an app developer when using a smaller app store.
Decentralized SSO on the other hand has the potential to be both convenient and privacy respecting.
The attention paper from Google introduced transformers, OpenAI introduced generative pretraining as a technique that allows transformers to achieve very good performance on downstream tasks with very little additional fine tuning. This paper and the subsequent release of the pretrained GPT models directly lead to the LLM boom.
You can’t really say any GPT model has nothing to do with OpenAI. They invented the architecture. But the name GPT predates their commercial products using the technology.
Linux gang, but I use Windows at work and do a full update (“Please wait… We’re working on things…”) weekly over lunch due to being trapped in the Windows insider program. It takes about half an hour. Longer than compiling a kernel though.
I use VSCode + Markdown for an actual notepad. The only thing I ever want from Notepad is to open a file as plain text, instantly, and let me read and search through the text, and maybe make a modification and save it. If I’m gonna be looking at the contents for more than 5 seconds it’s already a good idea to be using a proper text editor.
This has nothing to do with Windows or Linux. Crowdstrike has in fact broken Linux installs in a fairly similar way before.