Agreed. Although they started the show by showing a slide of how shit subways are… so I don’t think it is in Teslas interest to be an addition to mass transport. And they themselves walk a fine line between selling a consumercar or just reinventing buses

🔗 link

Your description is hilarious, I’ll be sure to check it out. Good job 👍 and happy Halloween 🎃

Why?

That’s logical in a way, I never thought about it that way 😄 I understand that you weren’t, I hope you can find a solution for her!

That’s what would have done! But that learning curve would be even steeper.

Thats one way to read it 😄 but at least retired

Research papers in creative cloud? I am guessing she is using something like InDesign or illustrator to make pdfs or maybe Acrobat? I think you need to clarify what her workflow entails to get better answers.

But going with my assumptions, it sounds like she can get away with using some kind of Office suit instead, maybe 365? not that it would solve the enshitification of apps problem… But I do consider it a stable program both as installed apps and on the web. There are also endless tutorials and support to get if she is running into issues.

With that said, it is probably not worth it if she is a boomer. It would take a long time to get into a new workflow and it would affect her output. If she is used to adobe she should probably stick to it.

Some of these are a real longshot. I’d wadger to say most of them even. Sure, some companies will try to do this. But in three years alot of those companies will realize that humans are very good at certain tasks and much more reliable than a superbot that will probably still be prone to hallucinations and also have issues with maintainance, because in the end, nobody can look at the code and say “oh here is a bug, I’ll have that sorted by Thursday”. Just look at Google, one of the most successful software companies in the world, they can barely figure out how to solve the issues with their ai search. They just blame it on being a new feature and have to manually block the ai from saying stupid shit. It has become this strange game of whack-em-all but instead of being harmless it is backed by these massive corporations that only care about their stock price going to the moon.

Where I am from It is very common that people break in and only steal the loose valuables inside the car. Not the car itself. If you don’t even have to crack a window i would imagine it is very enticing to do so and specialize in Teslas… with that said, I can’t magine Teslas are more prone to this and other brands. What makes Teslas a bigger target is that their fleet is large and use very similar components and tech. If you hack one, you can hack into alot of them.

I don’t know. I know some older midrange phones tried it out. I wonder if the main benefit is to heal the crease from the screen being unfolded or if it is to protection the softer screen surface. I hope it solves the former issue.

Confusiong riches and fame for brains. Classic mistake

Thats must have been horrifying to experience, very tragic. My thoughts go out to their families and the people of the village.

I do it already at work! Windows runs great in qemu.

There is a few things that we still need to move away from, app wise, that requires windows. But already I solve 95% of my work tasks in Linux. We will soon move all terminal computers in our production lines to Foss software and new stations run Ubuntu. Linux runs lighter and cheaper and easier to maintain and update and replace. We are super happy about it.

Best thing is, it will only get better!

Predicting? Ok, if you say so.

The model makes decisions thinking it is right, but for whatever reason can’t see a firetruck or stopsign or misidentifies the object… you know almost like how a human hallucinating would perceive something from external sensory that is not there.

I don’t mind giving it another term, but “being wrong” is misleading. But you are correct in the sense that it depends on every given case…

Text to video, automated driving, object detection, language translations. I might be misusing the term, you could argue that the word is describing what LLMs commonly does and that is where the term is derived from. You can also argue that AI is sometimes correct and the human have issues identifying the correct answer. But In my mind it is much the same just different applications. A car completely missing a firetruck approaching or a LLM just spewing out wrong statements is the same to me.

AI in general is definitely prone to hallucinations. It is more commonly seen in LLMs because it is more widely used by the public. It is definitely a problem with all AI

This is already worked in through mathematics, it is its own mathematical field. We can optimize packaging through formulas that are very fast and accurate. No need to train a AI for that. Especially not for space flight, AI are prone to hallucinations that is not something you want anywhere near any space mission that requires precision and predictability. I believe Johannes Kepler started this field in the 1600s, it is not something new. It is definitely a complex problem, but not new and not unheard of. Amazon is not exactly inventing something new and amazing here…

Yes a car is definitely not something that increases in value siting on a shelf ( if you don’t believe Musk). But they made the same car for years, so it is the same car as a few years ago? Does it matter if I get one from the shelf or one a year from now really?