Seriously. This is not new. The whole Prism thing before Palantir had all the data but not the ontology. I’m glad Europe learnt from Snowden.

I’m from Europe and would not feel safe over there. My perception of the USA is probably biased by lemmy, but it really doesn’t seem like the place to be.

You are probably right. This is basically what capitalism dictates. But considering API usage at least the context is in the developers control. Vibe coding is becoming pretty hungry though :D

lol inference is already cheap af. Might as well pay money. Dipshits.

Let’s skip the playing part. Let the customers pay and directly see their playthrough results and achievements.

Windows 12 Reportedly Set for Release This Year as a Fully Shitty, Shit-Based, Shit-Focused Slop.

This is so wild. The article frames Gemini to be the active part making the guy do things all the time. I cannot imagine how this works without roleplay-prompting and requesting those things from the chatbot. Not that I want to blame the victim and side with Google. It’s obviously dangerous to hand tools with good convincing-capabilities to unstable people. And weapons.

Oh boy…

Early teens…. This is so disgusting

It sure does

Wouldn’t that rather be an MS Graph bug? Why give copilot all mails and have it decide what to summarise and what not? —> I’m sure that’s not the way it’s implemented. I don’t understand the framing of the article tbh. „AI bad“ seems to click well.

I don’t even know what they mean with Aliens. This country has alienated itself from me.

lol when you think the US Government cannot be any more broken they deploy a pedo AI

It’s like there are three major political forces in the market: USA, China, Open Source. If we leave the dominant place for another IT world hurt competition? How exactly?

Spotifys UX has always been terrible. We all got used to having crappy software. It’s too convenient that’s AI also makes crappy vibecode without supervision. No one will notice anything.

I know it’s hard to reflect topics from different perspectives. No tech ever had zero use cases. I’ve worked in data science with NLP since word2vec came out in 2016. I’ve seen and implemented hundreds of solutions. I agree that most of the implementations of LLMs are insane and wrong, but that’s what happens with every tech at the peak of inflated expectations. Let me know what kind of evidence you want.

This is too generalised of a statement. You could say the same about people. I could tell you about how well these things (notLLMs in general, I mean mature use cases) actually work at many companies I’ve seen it, but you still won’t accept it so what’s the point.

This is the way

You must have done things wrong. These cases actually work extremely well. Like it or not.

lol yes I meant lonely :D