I am doubting myself now after not being able to quickly find a verified source but I’ve worked with lots of smart TVs and seem to recall Samsung or LG models using this simulated effect. It would have had to have been simulated since there was no signal coming in, and I recall the pattern being noticably pseudo random.

As for why: I have no idea! Maybe just for user familiarity reasons, since a lot of people grew up with that kind of analog feedback that the antenna wasn’t getting a signal.

Take what I said with a grain of salt, though, since like I said I wasn’t able to quickly verify it. It’s a vivid but ambiguous memory, though, since I also thought it was strange

Depending on the TV it’s likely simulated noise at this point

That’s giving the algorithms too much credit. They don’t encode user desires they encode user engagement bait. Like everything under our capitalist system the motivation is profit: in this case ad revenue. Sometimes positive things or agreeable things drive engagement, sometimes negative or divisive things. As long as users spend time scrolling on the platform they’ll both be given equal weight.

As with anything profit motive driven it’s just about what makes more money not what makes more sense or what makes better outcomes. The core assumption of capitalism (at least how it’s sold) is that profit causing activity correlates with improvements to human well-being. How anyone still believes that, I’m not sure.

they’re so quirky let’s normalize their rhetoric, those weirdos are so silly. you wouldn’t wanna be seen as lame by voting for them.

I’m so glad Democrats pulled out all the stops

haha they’re so WEIRD said the liberal on the way to the concentration camp

wouldn’t it be nice if the profit motive wasn’t the only driving force of the economy?

Putting these valid points aside we’re also all just taking for granted that the software would have properly identified a human under the same circumstances… This could very easily have been a much more chilling outcome

Being a run of the mill fascist (rather than those in power) is actually an incredibly submissive position, they just want strong daddies to take care of them and make the bad people go away. It takes courage to be a “snowflake liberal” by comparison

100 point top thread based on the second and third hand opinions of a Windows non-user really sums up the quality of this discussion lol

The average human driver is tried and held accountable

How’s that different from any other platform? What a coincidence that American capitalists want you to hate Chinese capitalists

The platforms are responsible because they curate and serve the content. Their algorithms can be and are exploited, but the fact that they’re algorithms doesn’t absolve them of responsibility.

Nobody told them they have to serve and intake millions of hours of content every day. If a human editor put that stuff out we’d hold the business accountable for that person’s actions.

Algorithms and AI aren’t excuses.

Here’s the actual statement. It’s not truly singling out China for being “China bad.”

https://mediacenter.org.ua/russia-s-disinformation-and-propaganda-efforts-on-social-media-ukraine-s-center-for-countering-disinformation-warns-of-growing-danger-on-tiktok/

You guys are lapping up and spreading sinophobia, just as bad as what people are doing on Telegram and Tik Tok.

Pot, meet kettle.

I’m pretty sure this story was blown out of proportion and exaggerated. These people were training and validating the automated systems not watching the cameras 24/7.

That’s how AI is trained, manual intervention. It wasn’t working as well as they hoped, but it wasn’t humans watching cameras in real time.

https://www.theverge.com/2024/4/17/24133029/amazon-just-walk-out-cashierless-ai-india

I basically stole your comment but made a worse version. On this note, though, there’s sometimes value in using words like “fix” or other kinds of tagging or consistent formatting in the sense that you can do a meta-analysis of the repo history to look at trends (like the ratio of fixes to feature work) over time.

Issue tracking software obviates that, somewhat, but having that info embedded in the repo history lets you go further and look at which files have the most fixes etc.

Existing tools out there sometimes do this exact thing, but it can be manually done as well

Knowing you fixed a bug is minimal information and usually covered by an issue reference in professional software development. I’d prefer to see the commit describing what the fix is actually doing to fix the bug.

The link goes into discussion of complexity and parallelism advantages of this approach. That implies that it could be faster

NVIDIA uses of AI technology aren’t going to pop, things like DLSS are here to stay. The value of the company and their sales are inflated by the bubble, but the core technology of NVIDIA is applicable way beyond the chat bot hype.

Bubbles don’t mean there’s no underlying value. The dot com bubble didn’t take down the internet.