That’s not disturbing; that’s completely fucked up.

If they want to buy data to use for AI, they can pay someone to license their voice for its use. What they’ve done is no different to bootlegging, but it’s worse because it’s personally identifiable data.

It will burst. AI is improving at the same rate it always has and no one’s surprised, just LLMs have gotten attention from normal users who seem to think “this is AI”.

For actual AI, nothing has changed. You still need extremely well governed data and lots and lots of controlled training, lots and lots of condition farming and resolving, all at considerable cost not worth it for BAU, just AI-soecific projects.

It’s already bursting, as people realise what is AGI and what is non-logic LLMs and why the latter has limited use, especially with awful mass “training”.

The most realistic outcome is that LLMs are able to assist in increasing the pace of AGI.

They’ll blame this for more ads and enough people will say, “Oh, that makes sense.”

I wish I could steal code. Everything I do is so situation-specific. I save my own snippets “for next time” but they never seem to come up again lol

It becomes very fatiguing. Especially when the same article is posted in several places.

To make things worse, it’s a trash article. It’s literally just quoting another article. So it’s bot scraped, bot written, title generated with zing and spooned to idiot cohorts on places like this, simply to garner traffic.

There are a lot of simple users on Lemmy, though they’d hate to admit it. But we have this post in this community with those comments, soooo… GG, big brains 👍

Yeah, same. Long-time user of an em-dash—love a cheeky en-dash in my ranges too. But now LLMs are using them all the time, out of context, and with spaces on either side.

Is nothing safe?! Next it’ll be semicolons!

What Deere did was even more harsh. They tried to block off not only self repair, but third-party firmware that made the tractors work better, especially older ones that were out of warranty.

That’s straight up a major federal crime in my country. So that should give Americans an idea how balanced their scale of justice is at the moment.

The consumer and supplier ALWAYS get equal and fair protection, lest a business becomes based on ripping people off with product instead of the product itself.

I like referring to LLMs as VI (Virtual Intelligence from Mass Effect) since they merely give the impression of intelligence but are little more than search engines. In the end all one is doing is displaying expected results based on a popularity algorithm. However they do this inconsistently due to bad data in and limited caching.

Our names, numbers, and home addresses used to be in a book delivered to everyone’s door or found stacked in a phone booth on the street. That was normal for generations.

It’s funny how much fuckwits can change the course of society and how we can’t have nice things.

If that photo is from the actual test, Cheesus Sliced…

There’s so little going on for video to pick up on apart from overcoming folage texture.

Probably Blue Shift. I think it goes better to play before startingHL.

50% of the post here are. Echo chambers rely on most users never reading the article.

Americans still actively use telephony services?

I just don’t use the Phone and SMS apps. Haven’t for years. It’s old tech that’s only used by bots and scammers.

Get with the times. Just block them. You’re basically putting an ad blocker on.

Light debugging I actually use an LLM for. Yes, I know, I know. But when you know it’s a syntax issue or something simple, but a quick skim through produces no results; AI be like, “Used a single quote instead of double quote on line 154, so it’s indirectly using a string instead of calling a value. Also, there’s a typo in the source name on line 93 because you spelled it like this everywhere else.”

By design, LLMs do be good for syntax, whether a natural language or a digital one.

Nothing worse than going through line by line, only to catch the obvious mistake on the third “Am I losing my sanity?!” run through.

I don’t even know if I pronounce it right. Is it like libré or is it more like a lobster-tiger hybrid? Or a Lemur-cobra.hybtid?

Also, if they’re watching, the themes still make the UI all funky unless it’s on the default—at least for Calc, anyway.

If they unloaded the goods to another truck really fucking fast, maybe. Otherwise they’re just being recorded on top of a giant GPS beacon that’s alerting a system that something abnormal is happening so rally nearby law enforcement. It’d way easier to hold up a bookies, with a shotgun, Saul.

I can’t really imagine people wanting to hijack a truck that’s basically a giant camera and tracking system.

I just watched Buckaroo Bonzai having heard nothing about it. Fucking brilliant movie. I need to watch it again now that I know what I’m in for

We can, but it’s a lot of effort and time. Good AI requires a lot of patience and specificity.

I’ve sort of accepted the gimmick of LLMs being a bit of a plateau in training. It has always been that we teach AI to learn, but currently the public has been exposed to what they perceive to be magic and that’s “good enough”. Like, being wrong so often due to bad information, bad interpretation of information, and bias within information is acceptable now, apparently. So teaching to learn isn’t a high mainstream priority compared to throwing in mass information instead—it’s far less exciting working on infrastructure.

But here’s the cool thing about AI, it’s pretty fucking easy to learn. If you have patience and creativity to put toward training, you can do what you want. Give it a crack! But always be working on refining it. I’m sure out there right now someone’s been inspired enough to do what you’re talking about and in a few years of tears and insane electricity bills, there’ll be a viable model.

Yeah, get too far in or give it too much to start with, it can’t handle it. You can see this with visual generators. “Where’s the lollypop in its hand? Try again… Okay now you forgot about the top hat.”

Have to treat them like simple interns that will do anything to please rather than admit the task is too complex or they’ve forgotten what they were meant to do.