Many features seem to come like 5-7 years late. Somewhere around 2016 Apple had finally added so many of the basic features to the iPhone that I could actually start considering it a realistic alternative to Android phones. Before that, there were always several serious deal breakers. Nowadays, things are actually surprisingly tolerable. It took like forever to get there, but now the phone actually does all the basic things.

Why would you need to summarize notifications? Usually each notification is just a short sentence, so there’s hardly anything you can do to shorten them further. Summarizing websites is far more useful though.

Turns out, I have an old dumb FullHD TV that should be ideal for this experiment. So, if I watch a YT video on 1080p, I should be able to see compression artefacts that are invisible when using a higher resolution. How is that supposed to work anyway, given that the browser knows the output resolution? Will it just download a higher resolution video, drop every other pixel, and display the rest?

I haven’t noticed anything. Would you do me a disservice and explain what I’m missing in my blissful ignorance. Make me see something that can never be unseen.

Consider setting up a content blocker in your browser. This way, all elements that match a specific keyword, get removed.

Oh, that is very spicy! I can’t wait for the lawsuit that brings up this argument.

I’m pretty sure the number of Lemmy users who like Chrone is very small. It feels like most people here already use Firefox or some related browser.

Soon we’ll find delivery robots trying to pull some amazing stunts, all thanks to the sacrifices of some daring Pokemon Go players. Good times ahead 🍿

Thanks. Seems like a really freaky situation. Must be something with the training data. My guess is, this LLM was trained with all the creepy hostility found on Twitter.

They could just run the whole dataset through sentiment analysis and delete the parts that get categorized as negative, hostile or messed up.

Twitter is another possibility. The LLM could have learned how to write like a bubbling barrel of radioactive toxic waste, and then just applied those lessons in longer format.

Stuff like this should help with that. If the AI can evaluate the response before spitting it out, that could improve the quality a lot.

Oh, there it is. I just clicked the first link, they didn’t like my privacy settings, so I just said nope and turned around. Didn’t even notice the link to the actual chat.

Anyway, that creepy response really came out of nowhere. Or did it?

What if the training data really does contain hostile and messed up stuff like this? Probably does, because these LLMs have eaten everything the internet has to offer, which isn’t exactly a healthy diet for a developing neural network.

Would be really interesting to know what kind of conversation preceded that line. What does it take to push an LLM off the edge like that. Did the student pull a DAN or something?

It would make sense to include matching images in the search results and other engagement driven recommendations. There are quite a few screenshots too, so if the search can only handle text, it’s going to completely miss a pretty large category.

It’s probably going to be a rare collectible in about 50 years. Right now, it’s a high risk investment.

More like american news. The rest of the world couldn’t care less. On the other hand, whatever Trump does can also be seen as tragedy/comedy/both, so maybe post this in some relevant entertainment oriented community.

“Chinese authorities temporarily suspended the release of monthly figures after youth unemployment hit an all-time high of 21.3% in June last year. Since then, new standards have been applied and announced from this year excluding enrolled students from the statistical target.”

If that trick doesn’t work, you could narrow it down even more to make the numbers prettier. Maybe you could exclude the people who have a degree in a specific field.

Obviously Netfilx wants to tell the stock holders how many “new subscribers” they have every quarter. Nobody stopped to think what those numbers actually mean.

It really depends on your assumptions. If you assume that software and hardware will stay at the current level, then the article does present a valid point. I would argue that those assumptions are only reasonable in the short term. AGI development does depend on some big technological changes we haven’t seen yet, so it could take decades or even a century, but I wouldn’t call it impossible.

If you assumed that 1950s style vacuum tube computers were the best thing ever, you could safely say that playing a game like fortnite with your buddies living in different countries is completely impossible. Modern semiconductors and integrated circuits would have seemed pretty magical in that context.

If we assume that we’re going to be stuck with silicon, you can safely say that AGI just isn’t going to happen with these tools and methods. Since quantum computers aren’t quite useful just yet and optical computers aren’t even in the news in any meaningful way, it seems that we will be stuck with silicon for quite some time. However, in the long term, you can’t really say that for sure. Technological developments have taken sudden and unpredictable jumps from time to time.