.loc and .iloc queries are a fun syntax adventure every time

Maybe lol

I could be wrong, but they likely asked because vinyl/PVC is generally toxic to the environment so it was probably a means of asking whether your neighbor replaced the foliage in their yard with a fixture that poisons the ground. I wouldn’t be surprised if the strips in the chain link were vinyl, as that’s a pretty common outdoor filler material.

I’m not the person you replied to, but pretty sure the question was whether the neighbor in your story replaced their hedge with a vinyl fence specifically.

It’s just premusk twitter at this point.

I mean, given that Jack Dorsey founded it as basically the “not Twitter Twitter” after musk bought the main one, I don’t think it’s surprising to see it face basically the same moderation issues in the name of being “even-handed”

I guess you could consider someone who is staunchly whitehat with no exceptions to have a creed/code, where they consider the rules transcendent of any specific situation (e.g. nazi websites).

Back when Minecraft existed and both archive tools had been established software for at least 9 years?

7zip all the way, especially back then!

This is one of the reasons my main email is a (unique) password I still memorize, so if my password manager fails catastrophically I can still get in.

Well, no.

In scenario A they are instantly vaporized. In scenario B they are brutally sliced into multiple pieces and crushed to death, rather painfully depending on the speed of the trolley.

You are on track A and the bomb is within sight. If you get the shit end of the 50/50, everyone in the diagram would be vaporized instantly

That doesn’t fix the out-of-the-box experience of the platform for millions, if not billions of people. Yes it’s a good step to take individually, but insufficient to deal with the broader issue raised of latent alt-right propagandizing

Desktop OSes, my bad.

iOS is still much worse than Android in terms of “walled garden” practices but Google has been slowly inching over that way, what with the recent crackdown on sideloading apps.

While the main quote I can find is like 6 years old at this point, Tim Sweeney directly compared Linux to a US citizen moving to Canada when they don’t like the political landscape. I’m sure his opinions have become more nuanced since then, but it’s still imo just needlessly antagonistic.

In that regard I think both Epic and Valve are trying to advance the industry in different ways: Steam trying to break PC gaming from Windows, and the EGS trying to free up restrictive mobile app store policies. We really should be able to directly buy and play mobile games from whatever storefront we choose, not being limited to Google Play or the App Store.

Since Valve and Epic are both for-profit companies, the advancements are largely for profit’s sake of course. I agree that we should take wins where we can secure them, but always be vigilant for how a company might turn the tables once they have the upper hand and try to mitigate that. We’ve seen the same anti-consumer practices happen many times over in the PC hardware market, such as with AMD v Intel or AMD v Nvidia, where a given company pushes for an open standard only when they are the underdog.

I wouldn’t dislike Tim Sweeney so much if he didn’t write off Linux so much.

He’s diehard on primarily having the Epic Games Store support Windows, which is ironically the most monopolistic and anti-consumer OS right now.

(minor edit to acknowledge Windows isn’t the only platform since the EGS is also available on Mac)

Reminds me of how the YouTuber Angela Collier detailed once reading Atlas Shrugged and really enjoying it. Wanting to read it blind, she did as little research as possible on the book beforehand, only knowing that the author was made fun of for relying on food stamps leading up to her death. As she worked through the book, it was shaping up to be a masterpiece satire on much the same level of A Modest Proposal.

It was only upon finishing the book and looking through the other reviews on Goodreads that she realized it was not satirical.

The problem in my experience is that those apps are often quite bloated, require you to make an account, then run in the background slurping up telemetry data. (I’m looking at you, HP Smart)

And then if you run into a situation where the app stops working properly, if a reinstall doesn’t fix it you’re basically out of luck because the error logging and online documentation is functionally non-existent.

Removing the homepage entirely, replacing the entire UI with the shorts-style format of “view video right now, tap button to see next/previous video”. If you want a specific video, you must search for it.

People developing local models generally have to know what they’re doing on some level, and I’d hope they understand what their model is and isn’t appropriate for by the time they have it up and running.

Don’t get me wrong, I think LLMs can be useful in some scenarios, and can be a worthwhile jumping off point for someone who doesn’t know where to start. My concern is with the cultural issues and expectations/hype surrounding “AI”. With how the tech is marketed, it’s pretty clear that the end goal is for someone to use the product as a virtual assistant endpoint for as much information (and interaction) as it’s possible to shoehorn through.

Addendum: local models can help with this issue, as they’re on one’s own hardware, but still need to be deployed and used with reasonable expectations: that it is a fallible aggregation tool, not to be taken as an authority in any way, shape, or form.

On the whole, maybe LLMs do make these subjects more accessible in a way that’s a net-positive, but there are a lot of monied interests that make positive, transparent design choices unlikely. The companies that create and tweak these generalized models want to make a return in the long run. Consequently, they have deliberately made their products speak in authoritative, neutral tones to make them seem more correct, unbiased and trustworthy to people.

The problem is that LLMs ‘hallucinate’ details as an unavoidable consequence of their design. People can tell untruths as well, but if a person lies or misspeaks about a scientific study, they can be called out on it. An LLM cannot be held accountable in the same way, as it’s essentially a complex statistical prediction algorithm. Non-savvy users can easily be fed misinfo straight from the tap, and bad actors can easily generate correct-sounding misinformation to deliberately try and sway others.

ChatGPT completely fabricating authors, titles, and even (fake) links to studies is a known problem. Far too often, unsuspecting users take its output at face value and believe it to be correct because it sounds correct. This is bad, and part of the issue is marketing these models as though they’re intelligent. They’re very good at generating plausible responses, but this should never be construed as them being good at generating correct ones.

90 days to cycle private tokens/keys?