That feels remarkably intellectually honest. I doubt if I would have replied again in that case, so I don’t know why anyone was downvoting this

Ah, I see. That makes sense, but to be fair I think that was expected. I suspect they also pull the same data from every page where adsense is embedded regardless of browser, e.g., and every other company out there is aggregating the same sort of data every possible place they can get it from (shared sign ins, etc etc)

Edit: It’s definitely a particularly bad look when there are several things in there that representatives for Google have apparently lied about over the years.

Forgive me for not reading all 2500 documents, but I haven’t heard anything to suggest there was a bunch of sinister stuff in there – and there’s nothing implicitly evil about having docs leaked.

Exactly the same here. Since I swipe type, I have to imagine that would be a nightmare on Dvorak with all the vowels clustered together.

I use Dvorak, but it has nothing to do with statistics for me. When I switched to Dvorak, it felt more comfortable on my hands. My typing speed is essentially the exact same, for example, and I don’t think you could find a measurable difference depending on which I use. But qualitatively – it feels more comfortable.

While the conversion is appreciated, there’s no reason to be an ass about it. OP labeled it, so it’s not like it was confusing or making unnecessary assumptions about the audience. So really you’re the one who just comes across as completely culturally insensitive.

I think the trouble is, what baby are we throwing out with the bathwater in this case? We can’t prevent LLMs from hallucinating (but we can mitigate it somewhat with carefully constructed prompts). So, use cases where we’re okay with that are fair game, but any use case (or in this case, law?) that would require the LLM never hallucinates aren’t attainable, and to get back earlier, this particular problem has nothing to do with capitalism.

This is a thing that is true of all LLMs, but it seems like you’re misunderstanding the core issue. It CAN give outputs like that sometimes. What we CAN’T do is force it to give outputs like that ALL the time.

It will answer “I don’t know” if its predictive text model guesses that the most common response to this would be “I don’t know”. To do that, to simplify a little, you could imagine that it reads your question, compares that to all the text in its training data, and tries to find the conversation that looks most like the question you asked, then answers whatever the person in the training data answered. But your exact question wasn’t in its training data, so if you took that mental model, and instead had it compare to 1000 similar looking things in its training model and average them, then it would hopefully do a better job of coming up with something at least close to what you actually asked. Now take it to a million, or a billion.

When we’re asking questions about the real world, we would prefer for it to answer based on knowledge about the real world. But what if it “matches” data from a work of fiction? Or just someone who doesn’t know what they’re talking about? Or true information, but about a different subject?

It doesn’t know anything. It doesn’t understand anything you say. It just looks at patterns that it learned from the training data and tries to guess what words are most likely to be said in that case. In other words, “here’s one case where it didn’t hallucinate” and “it will never hallucinate” are not the same thing at all.

Edit: To clarify, it doesn’t search its training data to answer your question, so asking “was this in the training data” is impossible. By the time you interact with it, the data is long gone. It was just used for training.

I think the bigger factor is, someone who already thinks they’re great probably isn’t working on noticing and improving their weaknesses. Someone who thinks they still have a lot to learn is putting a lot of effort into improving.

So, especially if they’ve felt that way for any significant length of time, it’s no wonder which person will end up being better.

One problem it has is that it can be REALLY slow sometimes. Like any turn based strategy game, map size has an exponential effect on how long a game takes, but the mechanics of wesnoth lean a lot more towards larger maps.

I’m mostly talking about multiplayer though. For singleplayer there’s about a hundred million campaigns to play so you could probably play it forever.

Both of the examples you give are Id - and to be honest, I feel like this was always more of an Id thing than it was an overall trend

To some extent I feel like the inverse of this would be “do you wish Gmail wasn’t federated?”

They were remastered (which I think hurts the original argument), but I as I understand, the question of which is better is pretty divisive

There’s nothing implicit about “opening the project in unity” that needs to be a trigger for terms to change.

If you make and distribute a game made in unity, then you are distributing some unity IP. You would need the license holder to grant you permission to do that. The terms you agree to with unity are what grant you the right to distribute this.

So this has very little to do with “have you opened the editor lately”, and is more similar to when e.g. Dead By Daylight has to stop selling a dlc character because they don’t renew an agreement with the rights holders.

To my knowledge, almost zero games incorporate licenses that actually give any legal space or protection for streaming, it’s almost always a “we 100% have the right to sue you but we probably won’t, we totes promise fr fr” kind of situation.

But for this case in particular, what’s actually happening is that Japan is one of the strictest countries in the world w.r.t. copyright law; I can’t know the laws of every country in the world, but in 90% of jurisdictions the worst you’d expect to happen is the videos get taken down, maybe your channel gets deleted.

Don’t screw around with copyright law in Japan though.

Honestly I haven’t heard much rhetoric around anyone banning these terms. But if moving away from them IS good, and the entire catalyst for this conversation is “YouTube chose to use newer, more preferable terms”, then isn’t that a good thing?

Unfortunately from their perspective that isn’t apples to apples. They can charge higher rates for targeted ads.

There are cultural traditions of using colors as symbols, many of which are harmless – red for anger, blue for sadness, green for envy. Whitelist and blacklist come from the very long-standing theme of using white to represent good and black to represent evil.

Regardless of how you feel about the origin of those themes, it makes sense to start moving away from them now. Whether intentional or not, they can be harmful and aren’t really necessary.

I had never heard about this, this is absolutely awesome

I wish I could give this a million upvotes.