Which is exactly what the paper recommends! As long as you have something that isn’t an LLM in the pipeline to vet the output and you’re aware is the tech’s limitations, they can be useful tools. But some of those limitations might be a more solid barrier than some sales departments would like us to believe.

For those of you who didn’t read the paper, the argument they’re making is similar to Godel’s Incompleteness Theorem: no matter how you build your LLM, there will be a significant number of prompts that make that LLM hallucinate. If the proof holds up then hallucinations aren’t a limitation of the training data or the structure of your particular model, they’re a limitation of the very concept of an LLM. That doesn’t make LLMs useless, but it does mean you shouldn’t ever use one as a source of truth.

First, try to understand what’s actually being said here. Sometimes I call myself fat because I’m above my target weight. But in my case my self-esteem is just fine: I’m a former gym rat who knows where I am, what I need to do to get back in shape, and that I’m still okay if I don’t get there. Saying “I’m fat” is a light jab at myself and a reminder to take steps toward my goals, nothing to worry about.

If your GF is calling herself fat more hurtfully (which is sadly common) the issue is not how fat she is or isn’t. That’s just a symptom. The issue is whatever negative feeling is prompting her to tear herself down. Arguing with her about whether she’s actually fat won’t help with that, and might even do more harm than good. Maybe ask her how she’s doing, remind her that you love her just the way she is.

Most of these companies are just arguing that they shouldn’t have to license the works they’re using because that would be hard and inconvenient, which isn’t terribly compelling to me. But Adobe actually has a novel take I hadn’t heard before: they equate AI development to reverse engineering software, which also involves copying things you don’t own in order to create a compatible thing you do own. They even cited a related legal case, which is unusual in this pile of sour grapes. I don’t know that I’m convinced by Adobe’s argument, I still think the artists should have a say in whether their works go into an AI and a chance to get paid for it, but it’s the first argument I’ve seen for a long while that’s actually given me something to think about.

I’ve occasionally ended up on Reddit accidentally when following a search link. Which immediately blasts me with notifications and pushy requests to browse in some other way than I want to. After using Lemmy for this long, which lets me peacefully do my thing my way, it comes off as really rude even before I get to the comments.

At this point, I’ve actually started actively avoiding Reddit links in my searches. I can generally find the info I need somewhere else without getting yelled at by the website.

I vote on every post I see. That combined with the “hide read posts” setting means I always see new stuff on the front page.

I upvote any post that I want to see more of in the community it was posted to. Posted game news in a gaming community? You get an upvote, whether or not I actually like or care about that game. I also upvote anything I don’t have any particular reason to downvote. It’s my default vote.

I downvote any post I want to see less of. Clickbait titles or misspellings are an automatic downvote. Off topic posts are always a downvote. And any post that comes off as salty gets downvoted, especially if the post is salty about being downvoted. I just don’t want to see any of that, so I use my vote to discourage it.

No matter where you go, upvotes and downvotes are still subject to the Lizardman’s Constant. Someone will end up voting in a totally contrary way just to be contrary, or because they didn’t understand, or because they just hit the wrong button. No matter how great your content is, it would be weird and possibly suspicious if it didn’t get some downvotes.

Prior to the API fiasco, Reddit Inc had demonstrated a pattern of promising changes to the mods which they failed to deliver timely if at all. They’ve acknowledged this pattern, promised to do better, then failed to deliver time and again. That part isn’t new.

Then the API changes were announced and the Reddit community gave Reddit Inc the loudest and most decisive rebuke they ever have. That was the feedback conversation. And Reddit Inc went forward with their plan unchanged. No concessions were made. No concerns were addressed or alleviated. Reddit Inc was informed of what this decision would break and they went ahead and broke it anyway.

As a former mod, there is nothing left to discuss. There is no reason to believe Reddit Inc will act on anything that doesn’t agree with what they’ve already decided to do. I’m not going back to that kind of abusive relationship. They had their chance to listen to feedback and made it clear that they won’t.

Technology Connections has a video on exactly these devices that dives into how they work and what they can and can’t do. TLDW; you’re not wrong about the physics of cooling a room, though in some cases this little thing might make you feel a bit cooler.

Agreed. I find Bing chat is really good when I know almost nothing about what I’m searching, or when I know a whole lot about what I’m searching. Like in your example, if I know exactly what I need but can’t remember its name Bing will read all the spammy beginners’ guides for me and get the answer. And on the opposite end, if I’m looking to buy a gift in a hobby I don’t remotely understand Bing does a pretty good job of holding my hand through the search process.

Weirdly, medium knowledge questions seem to still do better as a basic Google search. If I need to fix an appliance I’ve fixed before, but it’s been a long time so I really need a full walkthrough, the first few results on Google are faster than waiting for Bing to talk through it.