FaceDeer

This is very important, I’ve seen people try this and it just makes things worse. In another comment I suggested my favourite solution to getting stuck like this; have a one-handed garden pick or similar tool in the car so you can dig the tires out of the ice.

I’ve got a spray bottle filled with windshield wiper fluid I sometimes use to “pre-treat” an icy windshield before I get to scraping it, it’s often able to loosen the ice’s grip on the glass so the scraper can just lift it off. Simpler and more controllable than relying on the built-in windshield sprayers.

A one-handed garden pick is a nice tool to have handy if you find your car’s wheels stuck in some hard-packed snow or ice. Don’t spin your wheels fruitlessly, the friction is just making the ice slicker and harder. Use the garden pick to dig the wheels out instead, creating a rough surface to get some initial traction on. There are also traction plates or mats that you can stick in there to help get moving, though you need to be able to move the car far enough to get them caught under the wheels for them to work.

Make sure your car battery is in good condition. Cold weather will reduce its power output, so if your car’s going to fail to start it’ll be in the dead of winter when that happens. For peace of mind I bought one of those battery booster packs that you can use to jump-start a car with and I really like it, it’s got a built-in air pump, USB charger, and light source as well and I’ve used it for all of those things now and then. Wasn’t very expensive.

Stash a warm hat and a pair of warm mittens in the car somewhere. If you end up stranded on a roadside you won’t have known ahead of time that you were going to be stranded so you might not have brought adequate clothing with you. A flashlight, too. In northern latitudes there’s a lot of darkness during winter time.

IMO the best feature of democracy is not that it results in better selection of who gets to lead, because it doesn’t really - the vast majority of the electorate is not educated in the sorts of things they’d need to be educated in to make truly good decisions about this. The best feature is that every few years we “throw the bums out” and put a new batch of people in charge.

I used to be kind of ambivalent about term limits, I figured it was kind of suboptimal to have to get rid of a leader who’s doing well at some point. But with the size of the population of most democracies there’s really no constraint on the pool of perfectly adequate candidates to draw on. I’m starting to think that “one and done” might be an even better approach, at least for the highest levels. Make it so that there’s no motivation whatsoever to cling to power. Do the same with congressmen and senators, perhaps. Let them prove their capabilities with a political career in local politics, where it’s less important if someone ends up with some kind of corrupt fiefdom because the higher levels of government can keep them in check.

There have been many systems developed over the years for handling decentralized data storage, decentralized user identities, and decentralized decision-making. There are excellent options out there for all this stuff.

IMO the problem is that there’s a huge “not invented here” problem, combined with a popular “ew, I don’t want to be associated with that technology (or more accurately with the group behind that technology)” reflex that has nothing to do with the technology itself. So projects like the Fediverse keep reinventing the wheel over and over, and whenever a project manages to do something right it’s rare for the other projects to abandon their own implementations to borrow from the best.

Those jobs are also being replaced by AI. Modern AIs are trained on synthetic data, which is data that was generated from source material specifically for training purposes by other AIs. AIs reformat, rewrite, and vet the source material more reliably and efficiently than humans.

AI models don’t actually contain the text they were trained on, except in very rare circumstances when they’ve been overfit on a particular text (this is considered an error in training and much work has been put into coming up with ways to prevent it. It usually happens when a great many identical copies of the same data appears in the training set). An AI model is far too small for it, there’s no way that data can be compressed that much.

Those sadly will also be replaced over time with machines and there is something we will really lose.

Not all of the things we lose will be sad, though. An AI researcher has the potential to be more thorough and less biased when it comes to digging up and interpreting resources.

Udio. There aren’t yet any locally-runnable music generation tools like it, and even if they were they’d have to be pretty darned good to rival Udio’s quality. I make a lot of use of it for tabletop roleplaying games, but also “just for fun.” It’s only $10 a month.

I never left, I just started using both.

Probably the “final straw” would be shutting down old.Reddit. Unless they do something else unexpectedly awful that I haven’t thought of.

If it’s not communicating anything, what’s the point?

My point is that if we turn up our gibberish dial now then at least our llms will be learning the wrong thing & we have some control.

We’d be covering ourselves in poop to prevent people from sitting next to us on the train. Sure, people will avoid sitting next to us, but in the meantime we’ll be covered in poop.

And then other people will learn the trick, cover themselves in poop too, and now everyone’s poopy and the trick stops working.

There is still a lot of understanding that we do automatically that an llm will never do.

Are you willing to bet the convenience of comprehensible online discourse on that? “Automatically understanding stuff” is basically the one job of LLMs.

LLMs model language, and coming up with some kind of “gibberish” filter is simply inventing a new language. If there’s semantic meaning in it the LLMs will figure it out just like any other language, and if there isn’t semantic meaning then we’ve lost the ability to communicate entirely. I see no upside.

Well, the “at least for now” part is my point - if people start using “gibberish” to communicate or to hide their communication, that provides training material for LLMs to let them figure out how to use it too.

LLMs learn how to communicate based on existing examples of communication. As long as humans are communicating with each other somehow then LLMs will be able to train how to do that too. They have the same communication capabilities that we do at this point, so there’s not really any way we can make a secret clubhouse that they can’t figure out how to infiltrate.

Personally, I think there’s two main routes we can go to deal with this. Either we can simply accept that there’s no way to be 100% sure we’re talking to a human any more and evaluate the value of our conversation based on the content of the words spoken rather than the composition of the entity generating them, or we could come up with some kind of “proof of personhood” system to allow people to label the text the write as coming from them.

The latter is extremely hard to do, of course, both from a technical and cultural perspective. And such a system would likely still allow someone’s “person token” to be sneakily used by AI, either by voluntarily delegating it (I could very well be retyping all of this out of a ChatGPT window) or through hackery.

So I’m inclined toward the former. If I’m chatting with someone and I’m having a good time doing it, and then later I find out it was a bot, why should that change how much fun I had?

I don’t see how that would be practical. People who aren’t “in on the joke”, as it were, will call out the gibberish and downvote it. If enough people are “in on the joke” then the whole forum becomes useless and some other forum will be created to fill the role of the original. The AI will train off of that one.

Basically, if you don’t want an AI training on your content, then don’t post your content in public where an AI will see it. The Fediverse is the last place you should be posting since its very nature is about openly broadcasting your content to whoever wants to see it.

You realize that this is only going to train LLMs how to recognize “gibberish?”

It’s unfortunate that there’s such a powerful knee-jerk prejudice against blockchain technology these days that perfectly good solutions are sitting right there in front of us but can’t be used because they have an association with the dreaded scarlet letters “NFT.”

Not only can AI do that, it probably does it far better than a human would.

I like XKCD’s solution. Aside from the fact that it would heavily reinforce whatever bubble each community lived in, of course.

It’s more impressive when you use inpainting to preserve the beak, eye, and feet from the original source image.

Everybody wants money, that’s why they call it “money.”

You won’t be taken away for “study”, you’ll be taken away for pension fraud. Probably much earlier than 150.

Why would participating in studies be bad, though? Major pharmaceutical companies would pay you an absolute fortune in exchange for participation and you could advance medical science tremendously. You’d be a hero and get incredibly rich in the process.

If you divide the sides up to “people who care about this stuff” and “people who just want to make games”, then yeah. One side’s doing okay.