My poor, sweet summer child

At the point where they are running a custom ROM, this feels like a bad faith argument. It’s like claiming someone running Linux is clearly a Microsoft supporter when they bought a laptop preinstalled with Windows and replaced the OS day 1.

Exactly what alternative are you proposing? They don’t buy any hardware at all? It materializes out of thin air?

So you’re saying the problem is that it’s infeasible to distribute the source code, which they already distribute to all of their developers with no problem, while there are numerous platforms that will host it for you for free if it’s public FOSS?..

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.

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

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 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.

Plot twist - the nerd in IT was just looking for some new sources for free porn

abolishing the European Union

Ah, yes. I believe this was step 4 of setting up your self-hosted instance.