That isn’t fair. He wasn’t collaborating with Israel, he was just helping innocent people with no regard for their religions or ethnicities.

Which makes what Israel did to him much, much worse.

Boom Bubble. It’s not a boom, it’s an economic bubble, propped up with circular financing instigated by NVIDIA.

You have to remember that with conservatives, the hypocrisy is a feature, not a bug. This appears to be universal, not just a part of conservatism in the United States.

It’s not fucking “rare and contested.” It’s just blatantly violating the Constitution. Congress has control of the budget, not the president. It’s his job to execute on the law, not to pick and choose which laws to follow.

Because how else will they enshittify it?

Presumably the Free Democratic Party in Germany. They’re a center-right party.

Sure, but how likely is that?

I’m 100% positive they’re not reading my ChatGPT logs.

(I don’t use ChatGPT, and neither should anyone else.)

No. We’re starting to figure out that OpenAI is both incompetent and unethical. Nothing is “escaping.” LLMs are just burning compute to accomplish tasks they’re assigned by incompetent and unethical people at the company.

If they set up their sandboxes properly, none of these hacking incidents would happen.

Let’s make one thing clear: The “extinction warning” was marketing.

LLMs generate text. That’s all they do. Don’t want them to create an army of killer robots or deadly viruses? Then don’t run them in a harness that can create robots or viruses. Problem solved.

I think you’re misunderstanding what’s happening. The LG TV isn’t directly using the Windows internet connection. It’s taking advantage of Windows Update to have Windows itself install malware as a driver update for the screen.

Which I think is actually worse, because it shows that Microsoft is complicit in this nonsense.

Not me. This shit source should be banned from the community.

It’s already happening. Software instability is becoming a major problem.

Honest answer? Not much… yet. As the stupidity of “tokenmaxxing” and replacing developers with hallucinations-and-plagiarism engines really comes into focus, I expect developer hiring to ramp back up.

He probably is. Maybe if Republicans stopped cheating, lying, and behaving like abysmal, horrid monsters at every conceivable turn and using every dirty trick in the book, Democrats wouldn’t have decided that they need to fight fire with fire.

I’m not condoning this, but it is an utterly predictable outcome after decades of Democrats trying to take the high road while Republicans turn taking the low road into an art form.

Meanwhile, in the real world, my company has locked down usage of Anthropic’s top-tier models, because costs were out of control. Even the low-end models are usage-capped, and developers are starting to write code by hand again.

And we’re busily setting up local models we control ourselves on our network edge. We’ll probably end up with a modest budget for frontier models (until the model providers collapse), but most of the coding will be done by local models and developers themselves.

And that seems to be the way the entire industry is going, unless Anthropic starts subsidizing tokens with investor money again.

In conclusion: Get fucked, Dario.

As I’ve mentioned elsewhere, not if by “information” you mean semantic content that a mind can process. What they have are vector fields (essentially just numbers) with statistically more or less likely relationships.

If I say, “take me out to the ballgame” to an LLM, the tokens representing the words in the next verse of the song are statistically “close” in the vector database, so it’s likely to generate them. But that doesn’t mean it actually knows the lyrics… or even has those lyrics recorded in a regular database anywhere.

That’s why they hallucinate. The model determines that the next token is something nonsensical, but it has no way of understanding that it has made a mistake. In a sense, it actually hasn’t made a mistake. It’s done exactly what it’s designed to do. It’s just that in the case of hallucinations, its output isn’t useful.

They’re information, but not the same information that was used to create them.

No, they really don’t. That’s not how they work. At least, not if the “information” you’re talking about is real semantic content that real minds can process.

Every piece of information you think an LLM has access to is actually just converted into a stream of additional tokens that are fed into the model to (hopefully usefully) modify the next tokens it predicts. That’s not the same thing as having actual access to information. Tokens are just numbers with statistically more (or less) likely relationships to each other.

I’m not trying to downplay LLMs. They’re architecturally interesting and have genuine uses. I’m just trying to head off a bit of technical inaccuracy.

Just a reminder that it’s illegal for Trump to unilaterally impose these tariffs without congressional approval. Again. Again.