Why would somebody intuitively know that a newer, presumably improved, model would hallucinate more? Because there’s no fundamental reason a stronger model should have worse hallucination. In that regard, I think the news story is valuable - not everyone uses ChatGPT.
Or are you suggesting that active users should know? I guess that makes more sense.
I don’t pay Tesla for the vehicle (I don’t even supercharge), so it doesn’t actually affect their bottom line if I sell it. Buying a new car does affect my bottom line though.
Boycotts are only effective when they change purchasing behaviors, and this purchase is long done. I do encourage everyone who asks if I like my car to look into specific alternatives instead however.
And that’s really the only reason I have one - it was the only long range electric car available when I bought it. Now I would choose any of the many other options first.
That’s still faster than me though…
If you’re feeling out of breath, drink a thorium potion!
It’s fine if you need to slam out some dirty HTML and CSS. Not so much if you have real problems to solve.
Thank goodness, the AI comic had the glass of water talking.
Check out Ollama, it’s probably the easiest way to get started these days. It provides tooling and an api that different chat frontends can connect to.
Locally run AI: 0
That’s increasingly untrue as we build tools to inspect and modify those weights. Nearly every open model has homegrown LoRA support, and most of them have abliteration code that lets you erase undesirable behaviors.
Should be illegal, but they are doing it legally by exploiting a loophole. Disgusting.
This one projects the image onto a bunch of vibrating rubber bands. I don’t think there’s a long term market for this. It’s a clever idea though that fixes the hazards of a solid diffuser (like those godawful fan-based volumetric displays).
There’s a shit ton of modern AIs that are actively talked about and aren’t LLMs. What about AlphaFold? Or StableDiffusion, or the reinforcement learning running Boston Dynamic’s robots, or like, every computer vision classification task ever, or the software behind Waymo, or GANs like they use in Snapchat filters? Heck, people still consider Deep Blue an AI even though it’s completely obsolete today.
People still call this stuff AI (because it is) even though most of them have nothing to do with LLMs.
Nah the guy on the right understands that AI means almost anything. Hell, even the A* pathfinding algorithm falls under the realm of AI.
They really are! We should use tools for what they are good at and not try to cram AI into everything. Something something hammer, nail, right?
To be fair, I’ve worked with people who do the exact same thing. Always making excuses but somehow never actually finishing their work.
Except… at least AI is polite about it.
Agreed. I use it in my daily workflow but you as the senior developer have to understand what can and cannot be delegated, and how to stop it from doing stupid things.
For instance when I work in computer vision or other math-heavy code, it’s basically useless.
Code written by AI is really poorly written. A couple smells I’ve noticed:
On the other hand, if you’re in a green field project and need to throw up some simple, dirty CSS/HTML for a quick marketing page, sure, let the AI bang it out. Some projects don’t need to be done well, they just need to be done fast.
And the autocomplete features can be a time saver in some cases regardless.
If I recall correctly, lemmy.doesnotexist.club also has some Nicole problems.
But if we all talk like that, and AI learns to talk like that from humans, then the AI has succeeded in emulating human speech again. 🤔