Yesterday it tried to tell me Duration.TotalYears() and Number.IsNaN() were M functions in the first few interactions. I immediately called it out and for the first time ever, it doubled-down.

I think I’m at a level where, for most cases, what I ask of LLMs for coding is too advanced, else I just do it myself. This results in a very high counts of bullshit. But even for the most basic stuff, I have to take the time to read all of it and fix or optimise mistakes.

Parking lots to leave your car and roll into town on rail or bus via the attached depot.

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.

Women are just as bad. It’s not a gender thing, though there are the old stereotypes you mentioned

My experience is women are very unclean if they don’t think it will be noticed or on display. Cleaning is more for appearances with little influence from hygiene or being organised. Men seem to do it out of necessity only, it’s not the bare minimum, but the state of something can be left longer, like a pile of clothes not being big enough to deal with yet. But there are those that can’t survive without their mothers.

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

It has its ups and downs

This could be asked of a thousand million other products in the past three years.

But hey, here I am replying to this comment from my AI powered pants zipper, so…

Imagine marriage is your identity and you do things based on it.

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.

Exploding batteries is just Li-ion doing its thing and succumbing to thermal runaway while at it. Bad battery batches are common. Just replace it.

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.

Most things this vehicle has been designed for cannot be found in London and most challenges London has for vehicles cannot be overcome by such a design. They’re incompatible; all the way down to visibility, agility of the chassis, vulnerability to liquid explosives on hard ground and panels, to even basics like the turning circle.

Is it great in softer, non-urban, open, and wider terrain? Yes. Is London any of these things? Definitely not.

There are vehicles for the job that would make the desired impact. This is definitely not one of them.

This, in no way, looks like a vehicle that could offer anything but hindrance, difficulty, and cost to the job, being quite ineffective at most things required of it. It is designed with a purpose in mind and it wasn’t the streets of London.

A filthy bitch

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.