No other than it’s geographically closer to my actual location so I thought the speed would be faster.

EU is about to do the exact same thing. Norway is the place to be. That’s where I went - at least according to my ip address.

FUD has nothing to do with what this is about.

And nothing of value was lost.

Sure, if privacy is worth nothing to you but I wouldn’t speak for the rest of the UK and EU.

My feed right now.

It’s actually the opposite of a very specific definition - it’s an extremely broad one. “AI” is the parent category that contains all the different subcategories, from the chess opponent on an old Atari console all the way up to a hypothetical Artificial Superintelligence, even though those systems couldn’t be more different from one another.

It’s a system designed to generate natural-sounding language, not to provide factual information. Complaining that it sometimes gets facts wrong is like saying a calculator is “stupid” because it can’t write text. How could it? That was never what it was built for. You’re expecting general intelligence from a narrowly intelligent system. That’s not a failure on the LLM’s part - it’s a failure of your expectations.

I don’t think you even know what you’re talking about.

You can define intelligence however you like, but if you come into a discussion using your own private definitions, all you get is people talking past each other and thinking they’re disagreeing when they’re not. Terms like this have a technical meaning for a reason. Sure, you can simplify things in a one-on-one conversation with someone who doesn’t know the jargon - but dragging those made-up definitions into an online discussion just muddies the water.

The correct term here is “AI,” and it doesn’t somehow skip over the word “artificial.” What exactly do you think AI stands for? The fact that normies don’t understand what AI actually means and assume it implies general intelligence doesn’t suddenly make LLMs “not AI” - it just means normies don’t know what they’re talking about either.

And for the record, the term is Artificial General Intelligence (AGI), not GAI.

Claims like this just create more confusion and lead to people saying things like “LLMs aren’t AI.”

LLMs are intelligent - just not in the way people think.

Their intelligence lies in their ability to generate natural-sounding language, and at that they’re extremely good. Expecting them to consistently output factual information isn’t a failure of the LLM - it’s a failure of the user’s expectations. LLMs are so good at generating text, and so often happen to be correct, that people start expecting general intelligence from them. But that’s never what they were designed to do.

There are plenty of similarities in the output of both the human brain and LLMs, but overall they’re very different. Unlike LLMs, the human brain is generally intelligent - it can adapt to a huge variety of cognitive tasks. LLMs, on the other hand, can only do one thing: generate language. It’s tempting to anthropomorphize systems like ChatGPT because of how competent they seem, but there’s no actual thinking going on. It’s just generating language based on patterns and probabilities.

Large language models aren’t designed to be knowledge machines - they’re designed to generate natural-sounding language, nothing more. The fact that they ever get things right is just a byproduct of their training data containing a lot of correct information. These systems aren’t generally intelligent, and people need to stop treating them as if they are. Complaining that an LLM gives out wrong information isn’t a failure of the model itself - it’s a mismatch of expectations.

I haven’t claimed that it is. The point is, the only two plausible scenarios I can think of where we don’t eventually reach AGI are: either we destroy ourselves before we get there, or there’s something fundamentally mysterious about the biological computer that is the human brain - something that allows it to process information in a way we simply can’t replicate any other way.

I don’t think that’s the case, since both the brain and computers are made of matter, and matter obeys the laws of physics. But it’s at least conceivable that there could be more to it.

Did you genuinely not understand the point I was making, or are you just being pedantic? “Silicon” obviously refers to current computing substrates, not a literal constraint on all future hardware. If you’d prefer I rewrite it as “in non-biological substrates,” I’m happy to oblige - but I have a feeling you already knew that.

We’re not even remotely close.

That’s just the other side of the same coin whose flip side claims AGI is right around the corner. The truth is, you couldn’t possibly know either way.

Don’t confuse AGI with LLMs. Both being AI systems is the only thing they have in common. They couldn’t be further apart when it comes to cognitive capabilities.

The path to AGI seems inevitable - not because it’s around the corner, but because of the nature of technological progress itself. Unless one of two things stops us, we’ll get there eventually:

1. Either there’s something fundamentally unique about how the biological brain processes information - something that cannot, even in principle, be replicated in silicon,

2. Or we wipe ourselves out before we get the chance.

Barring those, the outcome is just a matter of time. This argument makes no claim about timelines - only trajectory. Even if we stopped AI research for a thousand years, it’s hard to imagine a future where we wouldn’t eventually resume it. That’s what humans do; improve our technology.

The article points to cloning as a counterexample but that’s not a technological dead end, that’s a moral boundary. If one thinks we’ll hold that line forever, I’d call that naïve. When it comes to AGI, there’s no moral firewall strong enough to hold back the drive toward it. Not permanently.

This applies to every single site that hosts adult content - not just reddit.