Just ask them to answer your question in the style of a know-it-all Redditor because you need the dialog for a compelling narrative or something

I’ve been able to nix so many intrusive web elements with the ublock picker tool, often without leaving a trace due to modern web design practices. The YouTube shorts shelf is one such case, and it’s shocking how well it worked!

People developing local models generally have to know what they’re doing on some level, and I’d hope they understand what their model is and isn’t appropriate for by the time they have it up and running.

Don’t get me wrong, I think LLMs can be useful in some scenarios, and can be a worthwhile jumping off point for someone who doesn’t know where to start. My concern is with the cultural issues and expectations/hype surrounding “AI”. With how the tech is marketed, it’s pretty clear that the end goal is for someone to use the product as a virtual assistant endpoint for as much information (and interaction) as it’s possible to shoehorn through.

Addendum: local models can help with this issue, as they’re on one’s own hardware, but still need to be deployed and used with reasonable expectations: that it is a fallible aggregation tool, not to be taken as an authority in any way, shape, or form.

On the whole, maybe LLMs do make these subjects more accessible in a way that’s a net-positive, but there are a lot of monied interests that make positive, transparent design choices unlikely. The companies that create and tweak these generalized models want to make a return in the long run. Consequently, they have deliberately made their products speak in authoritative, neutral tones to make them seem more correct, unbiased and trustworthy to people.

The problem is that LLMs ‘hallucinate’ details as an unavoidable consequence of their design. People can tell untruths as well, but if a person lies or misspeaks about a scientific study, they can be called out on it. An LLM cannot be held accountable in the same way, as it’s essentially a complex statistical prediction algorithm. Non-savvy users can easily be fed misinfo straight from the tap, and bad actors can easily generate correct-sounding misinformation to deliberately try and sway others.

ChatGPT completely fabricating authors, titles, and even (fake) links to studies is a known problem. Far too often, unsuspecting users take its output at face value and believe it to be correct because it sounds correct. This is bad, and part of the issue is marketing these models as though they’re intelligent. They’re very good at generating plausible responses, but this should never be construed as them being good at generating correct ones.

90 days to cycle private tokens/keys?

Life is suffering. Once you accept that fact wholly, you may ascend

That’s really good to know, and not how I thought the system worked previously. I thought instances were responsible for all vote aggregation and simply reported totals to each other at regular intervals, plus submitting comments/edits from users which are more obviously public

Y’know, that’s fair. I think I misspoke, and meant to say that the admins of your instance can see your IP but not the admins of another (assuming you’re not self hosting on your home PC without a VPN), but I’m not 100% sure that’s true because I’ve never looked at the protocol.

If every interaction is already public on the backend/API level, then simply not showing the info to users is just a transparency issue.

The more I’m thinking about this, the more I believe it’s a cultural/expectations thing. On websites like Tumblr, all of your reblogs and likes are public info, but it’s very up front about that. Social media like Facebook, IG, and sites like Discord, it’s the same; you can look through the list of everyone who reacted.

Data is not suddenly public just because some people have access to it. Data is public when it’s available for anyone to look at. Privacy is almost always going to be a trust issue on some level, and very few things are possible to do truly anonymously. Some data will always be available to someone in a position where it’s possible to abuse. Instance admins can see your IP address. Should that be available for everyone to see?

I mean, that’s already true and why the federation model is used in the first place. If another instance can’t be trusted, you can disconnect your own from it (extremely easy if you self-host, if you are a standard member of a larger instance it might require convincing)

Texas would be brisket, barbecue sauce, and possibly pickle slices and/or chopped onions in between two slices of white bread. Butter the white bread beforehand for extra points.

I guess that’s too similar to the Kansas one on this chart though

So am I supposed to flip the sushi over to dip the fish side in the soy sauce? That seems a bit awkward

The lines coming from the label nodes add a lot of unnecessary visual noise. I think it’s already pretty clear what’s what based on the circles this graph is arranged into.

Technically, steamOS because it’s designed to play games and it’s what the steam deck uses. That probably won’t have many other non-gaming features though, and I’ve personally never used it. In my experience, you can get most games without a hyper-aggressive anti cheat working on any Linux distro with varying degrees of effort, just a matter of having all the needed libraries installed! The more popular distros like Ubuntu, popOS, Fedora, even Arch (btw) should have a lot of helpful information out there on how to get Lutris or Steam set up.

I’d love a stting where the windows just casually wobble more and more until your entire screen is just triangle artifacts

Y’all are crazy, I like to know where my window is with decent precision when I move it around. Is there a way to have the windows wobble by default but turn off/tighten up while holding shift or something? I might try it out if this is an option