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.

It is terrible for a first draft if you’re aiming for something that reads like a human being’s actual thoughts. Don’t let an LLM think for you and create the first draft of “your” thoughts. At most, if you absolutely must, use it as a spell checker. But write your words yourself.

No one wants to know what ChatGPT thinks. We might want to know what you think… But only if it’s actually you doing the thinking.

I’m well-educated and understand the historic use of “liberal” versus today’s common usage in the United States. My only real concern is that people who are only familiar with U.S. common usage might need some explanation.

Likely. I get why people find the modern American use of “liberal” as a synonym for the progressive left annoying, but word usages change and that one has unfortunately stuck, which makes references to the “liberal media” confusing.

I’m assuming you meant “liberal” ironically? Those outlets are exactly as liberal as the right-wing conservative corporations that own them.

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.

The important thing to remember is that it actually has zero access to information, because that’s not how LLMs work.

At their core, they’re vector databases, and they’re trying to probabilistically come up with the next most likely token in a stream of tokens found in the DB. You can manipulate the stream by injecting text such as the content of existing files (which becomes more tokens) into the stream, but it never actually understands any of it.

That’s why hallucinations are inherently unavoidable. It’s really all just hallucinations. It’s just that you can sometimes get useful text from their hallucinations if they happen to comport with reality.

Jesus Tapdancing Christ…

1000%. Functionally unlimited lifespan in which to explore the universe, in a super-intelligent ship that contains the sum of civilizational knowledge? Hell yeah, sign me up!

Isn’t this the breach that was widely reported on in March? And they’re just now disclosing the scale of the exposure?

Ugh. If this makes my Linux systems less stable, I don’t even know what the fuck I’m going to do. I won’t go back to Windows, I’m not buying Macs (which have their own software problems anyway), and my hardware probably won’t work with any BSD variant.