xor

@xor@lemmy.blahaj.zone

• ⁨Comment⁩ on ⁨Universal theme park for Bedfordshire confirmed by Starmer⁩ ⁨⁨2⁩ ⁨weeks⁩ ago⁩:

  Do you think the government is paying for the park…?

• ⁨Comment⁩ on ⁨Why DO credit card companies make a stink about adult content anyway?⁩ ⁨⁨4⁩ ⁨weeks⁩ ago⁩:

  I think that’s largely for the same reason; their legal obligations to ensure they don’t facilitate illegal stuff means that the risk of working with companies that do e.g. amateur porn makes the potential consequences (financial processing ban, i.e. effectively the entire company being shut down) massively outweigh the potential benefits.

  So you’re right that PH’s legal liability was part of the reasoning, but that pressure largely came from payment processors, for whom the legal consequences are more severe.

• ⁨Comment⁩ on ⁨Discord going public. Plz help a future refugee.⁩ ⁨⁨5⁩ ⁨weeks⁩ ago⁩:

  Can you elaborate on what you mean by web tech? I don’t know much about how matrix works

• ⁨Comment⁩ on ⁨Opening Lemmy in the morning and seeing dozens of unread comments in your inbox makes you think: what the heck did I say yesterday?⁩ ⁨⁨1⁩ ⁨month⁩ ago⁩:

  Find hot Nicoles in your local Fediverse!

• ⁨Comment⁩ on ⁨When people in constitutional monarchies pledge loyalty to the monarch, is it actually for real, or just symbolic / a pro-forma thing?⁩ ⁨⁨1⁩ ⁨month⁩ ago⁩:

  In the British monarchy, the monarch (“the Crown”) and the person who is the current monarch are considered distinct “people” with their own separate possessions (i.e. King Charles as the Crown owns property separately to Charles Windsor the private citizen).

  So these oaths are meant to be pledging loyalty to the Crown, in its role as the embodiment of the British state, as opposed to the king personally.

  The commons library is a treasure trove of information about the UK’s fascinating and complex constitution, I’d strongly recommend giving it a read if you’re interested in this sort of stuff!

  Commons Library: the Crown and the constitution

  In particular, I’d recommend checking out The United Kingdom constitution – a mapping exercise, which is a document intended to be a reasonably thorough summary of the UK’s constitution and where it comes from. It’s ~300 pages so I wouldn’t recommend reading the whole thing, but it’s great as a reference for the parts you find interesting.

• ⁨Comment⁩ on ⁨You knew it was coming: Google begins testing AI-only search results | This version of Google won't show you the 10 blue links at all—Gemini completely takes over the results in AI Mode⁩ ⁨⁨1⁩ ⁨month⁩ ago⁩:

  (and reinforces it)

• ⁨Comment⁩ on ⁨YSK that if you hover your mouse over each segment of Wikipedia's IPA pronunciation key (typically found at the beginning of an article), it will let you know how it sounds in the tooltip⁩ ⁨⁨1⁩ ⁨month⁩ ago⁩:

  The whole what? As in you think each Wikipedia article should start by describing every sound in the word?

  Skeuomorph (sk like skin, eu like you, m like mat, o like orphan, ph like off)

• ⁨Comment⁩ on ⁨Study of 8k Posts Suggests 40+% of Facebook Posts are AI-Generated⁩ ⁨⁨2⁩ ⁨months⁩ ago⁩:

  I’m not necessarily saying they’re conflicting goals, merely that they’re not the same goal.

  The incentive for the generator becomes “generate propaganda that doesn’t have the language chatacteristics of typical LLMs”, so the incentive is split between those goals. As a simplified example, if the additional incentive were “include the word bamboo in every response”, I think we would both agree that it would do a worse job at its original goal, since the constraint means that outputs that would have been optimal previously are now considered poor responses.

  Meanwhile, the detector network has a far simpler task - given some input string, give back a value representing the confidence it was output by a system rather than a person.

  I think it’s also worth considering that LLMs don’t “think” in the same way people do - where people construct an abstract thought, then find the best combinations of words to express that thought, an LLM generates words that are likely to follow the preceding ones (including prompts). This does leave some space for detecting these different approaches better than at random, even though it’s impossible to do so reliably.

  But I guess really the important thing is that people running these bots don’t really care if it’s possible to find that the content is likely generated, just so long as it’s not so obvious that the content gets removed. This means they’re not really incentivised to spend money training models to avoid detection.

• ⁨Comment⁩ on ⁨Study of 8k Posts Suggests 40+% of Facebook Posts are AI-Generated⁩ ⁨⁨2⁩ ⁨months⁩ ago⁩:

  Sure, but then the generator AI is no longer optimised to generate whatever you wanted initially, but to generate text that fools the detector network, thus making the original generator worse at its intended job.

• ⁨Comment⁩ on ⁨BACK IT UP⁩ ⁨⁨4⁩ ⁨months⁩ ago⁩:

  They’re hoarse

• ⁨Comment⁩ on ⁨DOJ to ask judge to force Google to sell off Chrome, Bloomberg reports⁩ ⁨⁨5⁩ ⁨months⁩ ago⁩:

  And a series of words that sounds kinda like a complex sentence when you listen to it, but actually means nothing whatsoever

  And he says to me… a very smart guy, Mark, he’s really doing… he’s really got to show… when he does things he really does them, you know, like he really does, it’s very impressive, very modern

• ⁨Comment⁩ on ⁨USA President term limits⁩ ⁨⁨5⁩ ⁨months⁩ ago⁩:

  It’s also worth adding, though, that the convention of only running for at most two terms had existed pretty much since the establishment of the republic (until FDR broke it), when Washington and Jefferson each chose not to run for third terms

• ⁨Comment⁩ on ⁨This feels wrong. I love it.⁩ ⁨⁨5⁩ ⁨months⁩ ago⁩:

  I think BAC is supposed to be defined as a right-angle, so that AB²+AC²=CB²

  => AB+1²=0²

  => AB = √-1

  => AB = i

• ⁨Comment⁩ on ⁨New largest prime number discovered by former Nvidia software engineer⁩ ⁨⁨5⁩ ⁨months⁩ ago⁩:

  Almost certainly a multiple of 2 minus one

• ⁨Comment⁩ on ⁨Truly a tragedy of our times⁩ ⁨⁨5⁩ ⁨months⁩ ago⁩:

  Clearly.

• ⁨Comment⁩ on ⁨Iguanadons⁩ ⁨⁨6⁩ ⁨months⁩ ago⁩:

  Get the knife!

• ⁨Comment⁩ on ⁨Someone Put Facial Recognition Tech onto Meta's Smart Glasses to Instantly Dox Strangers⁩ ⁨⁨6⁩ ⁨months⁩ ago⁩:

  And you can keep hand waving away the fact that lower precision because of less light is not the primary cause of racial bias in facial recognition systems - it’s the fact that the datasets used for training are racially biased.