Technology

There's a ton of papers on Google Scholar that still include phases like "Let's delve into..." That show otnwas used not to translate, but for the research itself.

And someone did replicate this, and ChatGPT 4o, o1, Claude and Grok all came up with the same formula for an "easy" way to calculate tariffs.

and a man, who has never had salad in his entire life!

BUY A TESLER

They tariffed places with no people in them.

though some suspiciously are.

Some? A huge portion are. Numerous others have replicated it with visual proof. I agree that the news sites should be verifying it, but NYT did and also documented their proof.

That bothers me too. Get an actual expert source to verify before you publish shit from randos on Twitter and Reddit.

Because the article is likely just more GenAI vomit, and an LLM doesn't have any degree of deductive reasoning ability to begin with.

The numbers come from an overly simple way to level out trade deficits.

So if I sell you $100 in goods and you sell me $120 dollars in goods, I'm "losing" money, therefore 20% tariff (tax to sell me something). In reality, you're going to increase your prices and sell me $140 worth of the same stuff.

All the AIs did was expand this to a global scale, what's insane to me is that the math adds up. It doesn't take an AI to do this though, some economics undergrad could come up with the same thing. Understanding the underlying methodology shows how it completely lacks nuance or understanding of how the world really works.

Yeah, this makes sense to me. ChatGPT isn't crunching the numbers, looking at conservative ideology, foreign policy goals and media optics before recommending the ideal number for the trump admin to implement. Instead it's just looking for the most widely publicized set of numbers in relation to that query and regurgitating that.

what if they all come up with that because it has been publicised

Then I'd ask who published and where they got their analysis from. Very possible that we've got an AI that's built up a backlog of Harvard Business Studies and CalTech economics models to reach the ideal hypothetical tariff regime. But it's just as likely they're ingesting 4chan reposts of Ron Paul Newsletters and Michael Savage radio transcripts to build up its economic background.

That's sort of the problem with AI. There's no specialist-driven guidance on what data is valuable and what data is crap. No litmus test to separate fact from fiction or serious discussion versus trolling. And these western developed models, in particular, are very bad about including the origins of their graphed logical output (because that would make the process of hashing and graphing more expensive, in a system that's already inelegant and resource intensive).

I just glanced at it and wouldnt know how something like that is even supposed to be, so I dont really know how unhinged the tariff rate thing is.

The problem is less that we don't know how bad the tariff rate is and more that the people designing the policies don't know either. They're fishing for answers in the answer pond, and they don't even know if they've got a fish or a boot at the end of the line.

Yea but we can all agree on sky color but the numbers Trump posted are questionable at best

The sky color is part of the training data. How did the LLMs include the training data before it existed?

Except these AI systems aren't search engines, and people treating them like they are is really dangerous