And all the doom games.

That’s just what they want you to think.

The original case was just bullshit made up by a bored journalist.

https://en.m.wikipedia.org/wiki/Murder_of_Kitty_Genovese

In 2007, an article in the American Psychologist found “no evidence for the presence of 38 witnesses, or that witnesses observed the murder, or that witnesses remained inactive”.

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It really comes down to what you’re used to. If you use Windows tools then you already know many of the workarounds for Windows and you don’t know the tools that haven’t been ported there.

For example, you know not to use Python directly, but that you have to install anaconda instead, or whatever the current problems with Python development on Windows are.

The big obvious thing that you can’t get away from is that you have to do things differently if you have develop for two different OSs with a view to deploying on Linux.

In particular support for shell scripts is crap on Windows. I could learn powershell or there’s workarounds using WSL and a bunch of other stuff that I don’t need to care about, but I’d rather not bother.

I mean coding is difficult enough as it is, I wouldn’t choose to use an OS that makes it even harder.

I use Linux because it makes my life easier. It has better support for development. Some of the other stuff is maybe not as easy or polished, but the support for dev tools and the ease of deploying to from local machines to servers that are also running Linux makes up for it.

If I wanted more effort I’d still be using Windows. It would force me to work on cross platform development and deployment. The idea that there’s value in making things unnecessarily hard is just weird. I want Linux to be as simple as possible to use, so I can spend that effort on things that actually matter.

Although it’s federated nature is kinda dying.

If you’re not on one of the major providers good luck getting people to see your email.

As someone working and publishing in the field this is more a cyber jerk about American exceptionalism than actually true.

Chinese universities and companies publish a shit tonne at pure machine learning conferences. They absolutely do a large amount of research into the fundamentals of machine learning as well as the applied stuff. They’re probably the closest to the US in terms of having large firms that are prepared to bank roll the training of the very large language models.

Alibaba in particular has been constantly doing cutting edge stuff in terms of multimodal language models that are worth paying attention to.

The actual truth is that China does both kinds of work. Broad foundational and applied work lead by independent research groups in companies and universities, and focused application driven stuff for direct application by the state.

Google still stands out in terms of the amount of research it does, but this is because Google is different to everyone -other US research institutes don’t compare to it either.

The problem is that Tesla is a meme stock. It’s stupidly overpriced for a car company with such little production.

They could get rid of musk and try to turn it into a normal company with solid fundamentals but this would remove its meme status and crash the share price anyway.

There’s no way to fix Tesla without burning it’s stock price to the ground, so anyone involved is just going to try to ride the crazy train as long as possible.

Come on Elon, make the Cybertruck 2 and really fuck everything up.

Lots of people still split latex documents into one section per file, because subversion used file locks and we only knew how one person could edit a file at a time.

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Honestly, if you’re sharing office files you’re probably using office 365. This means everything is a web app first and therefore Linux compatible.

I tried using the desktop version of word on a Mac last week, and the latency was so bad on a shared document that I had to switch to the web app anyway.

Basically, if you just want to use Linux you’ll be fine. If instead you don’t want to use Microsoft, you’ll probably have lots of problems.

Microsoft have been brutally effective in getting their tentacles into academic institutes, and you’ll find that everything from email to logging into internal sites relies on an office 365 account.

It’s a consequence of parliamentary sovereignty.

Parliament can always dissolve itself and call an election, and it’s an important mechanism for getting rid of the government.

The problem is that the prime minister also has a majority in parliament, and that means he can make parliament dissolve itself when he likes.

This was actually a problem for Johnson. Initially, he didn’t have enough of a majority and it wasn’t clear he could call an election without Corbyn’s support.

They actually hired an Australian to copy it for them. https://en.m.wikipedia.org/wiki/Isaac_Levido

It’s very true on a Mac. Almost every time you click the green button, it jumps to full screen and then you can’t drag another window on top of it.

It’s a pain in the arse because my workflow is to have a reading screen with documents and emails on, and a work screen with whatever I’m actually doing. But if outlook is full screen, you can’t drag any other windows on top of it.

Don’t know why the first guy was saying this is a Windows thing though. I only run onto it on macs.

I mean that’s a problem, but it’s distinct from the word “intelligence”.

An intelligent dog can’t classify a logic problem either, but we’re still happy to call them intelligent.

“Write an essay on the rise of ai and fact check it.”

“Write a verifiable proof of the four colour problem”

“If p=np write a python program demonstrating this, else give me a high-level explanation why it is not true.”

Words might have meanings but AI has been used by researchers to refer to toy neutral networks longer than most people on Lemmy have been alive.

This insistence that AI must refer to human type intelligence is also such a weird distortion of language. Intelligence has never been a binary, human level indicator. When people say that a dog is intelligent, or an ant hive shows signs of intelligence, they don’t mean it can do what a human can. Why should AI be any different?

It’s good for anything that has thousands of examples on stack overflow.

For example, every time I end up trying to work with pandas, I always forget the syntax and it’s generally good here.

Anything unusual, or that is sufficiently complicated that I wouldn’t be able to Google for, and just forget it.

Great that’ll go really well with teams, teams classic, and teams work and school.