I mean, sure, but the issue is that the rules aren’t being applied on the same level. The data in question isn’t free for you, it’s not free for me, but it’s free for OpenAI. They don’t face any legal consequences, whereas humans in the USA are prosecuted including an average fine per human of $266,000 and an average prison sentence of 25 months.

OpenAI has pirated, violated copyright, and distributed more copyright than an i divided human is reasonably capable of, and faces no consequences.

https://www.splaw.us/blog/2021/02/looking-into-statistics-on-copyright-violations/

https://www.patronus.ai/blog/introducing-copyright-catcher

My use of the term “human” is awkward, but US law considers corporations people, so i tried to differentiate.

I’m in favour of free and open data, but I’m also of the opinion that the rules should apply to everyone.

I all keep going back to my Pebble Time. The battery life and focus on productivity are second to none.

Audacity is wild to me. It does so much on so many platforms.

That’s more what I mean. They won’t break the encryption, but at that point with physical access to my home/ computer/ servers, I have bigger problems.

There’s very little stored locally that could be worse than a situation where someone has physical access to my machine.

I used to, but it’s proven to be a pain more often than a blessing. I’m also of the opinion that if a bad actor capable of navigating the linux file system and getting my information from it has physical access to my disk, it’s game over anyway.

Yeah but that’s missing the flair required by people who spend their evenings adjusting the radial blur on the window borders.

In the modern day, sometimes it’s just nice to be able to say “I did that!”.

Same reason I look in the toilet.

I watched LTT for years, since we were the same age, and NCIX was my local computer shop.

I noticed a steep decline in quality as LMG got bigger, and a greater focus on personalities and entertainment rather than substance. There’s a market for that, and it appeals to the less knowledgeable or as an entry to tech as a hobby, or even people who just want tech-adjacent entertainment. I can’t deny the reach and impact this team has, but the content isn’t for me anymore.

I can’t stand this form of content, or the delivery, but it’s where audiences are so I’m willing to accept that I’m just old and lame.

Isn’t that what the Order of Odd Fellows is?

I love secret societies because they always remind me of LARPers. I used to go to this comic shop that held a Vampire:The Masquerade LARP thing, and they would all act secretive and sneaky, and come in the backdoor and things.

I remember researching it a while ago when I was curious how they made money. If anything else, this just illustrated glee little research and care people have with their online information.

I’m not entirely sure.
A non-probabilistic algorithm, probably. Something that didn’t rely on the liklihood of association, and instead was capable of context and rationality.
Something that wouldn’t have a system capable of saying “Put glue on your pizza” because it would know that’s a silly thing to say to a human. A system that, when asked "Whats a good caustic detergent " wouldn’t be able to respond "Any good caustic detergent is a good caustic detergent " because duh. Something that doesn’t require thousands of hours of training to update and instead is capable of ingesting and rationalize new information on the fly.

I’m not convinced that it’s anywhere near an AGI, I’m convinced after combing through papers and code, that it’s an amazing parlor trick.

I’d love to be proven wrong, but everything I’ve seen and everything I’ve used in my studies ( using DNN to simulate neurodivergence and spinal disgenesis, which is kinda AI adjacent) leads me to believe that the current part won’t lead to anything but convincing parlor tricks.

The argument could be made that if a trick is convincing enough, does it matter if it’s intelligent or not.

o3 made the high score on ARC through brute force, not by being good. To raise the score from 75% to 87% required 175 times more computing power, but exactly stunning returns.

This semester i took a basic database course, and the prof mentioned that LLMs are useful for basic queries. A few weeks later, we had a no-computer closed book paper quiz, and he was like “You can’t use GPT for everything guys!”.

Turns out a huge chunk of the class was relying on gpt for everything.

Real talk though, I’m seeing more and more of my peers in university ask AI first, then spending time debugging code they don’t understand.

I’ve yet to have chat gpt or copilot solve an actual problem for me. Simple, simple things are good, but any problem solving i find them more effort than just doing the thing.

I asked for instructions on making a KDE Widget to get weather canada information, and it sent me an api that doesn’t exist and python packages that don’t exist. By the time I fixed the instructions, very little of the original output remained.

Yes. Go buy a new computer.

Then give me your old computer so I can put linux on it and distribute it for free to students and immigrants.

Well that’s just about the cutest darn ring I’ve ever seen.

Just so I’m the first one to utter the phrase:

"We have credible reports from Windows Intelligence that a crime has been committed, your computer is going to restart. "

It sounds invasive. Like it’s a private intelligence agency and not a chat bot.