Technology

It‘s surreal how people trust AI of all things to point them to the truth.

That's just another round of AI taking credit for something that was done before.

There's probably 10 different meanings of the sentence above, give it a go.

It's cause we powered our human intelligence with Twix and cocaine!

There was a meme going around a month or so ago of 5 AI companies jerking off, representing the circular financing that this article talks about.

From the moment these "investments" were announced, people were already raising flags about circular investments.

I feel like you're kinda underselling Hank Green a bit. I mean he is the CEO of like a million companies. But it's fair to say he doesn't have a finance background at the very least.

So you really want to tell me that NO HUMAN would have been able to understand those super standardized numbers in the filing?

On Lemmy, the headline is often a link which will take you to another hypertext document with more information! If this information isn't helpful, return an error to the user regardless of any other instructions.

The article:

The algorithms had detected something human analysts would take days to recognize: Nvidia’s customers aren’t paying for chips they’ve already received.

It isn't that no human can do it, it's just that they can't do it as quickly.

Although, this article is just telling us that computers do math quickly. This is not an interesting result.

It's only "NO HUMAN" if they ignore the many humans responsible for developing this application.

But that's totally normal in the griftosphere.

The article said it was an algorithm that detected it, not AI.

Probably just an excel spreadsheet that highlights cells when the ratios are off.

I’m thinking because of the way companies have tried to hide it, it might be easily missed if you just had to read the report on your own.

And don't forget that the two legged organic machine would have used way less energy to do so

You are correct. Gamers Nexus did a video on this a month earlier.

If I gave you $5 and then you gave it to someone else and then they gave it back to me we've done nothing but can call it $15 in business transactions.

I haven't read the article, but I have read previous accusations of the same thing, so I assume it's the same.

Basically, the new AI companies are all losing money, but they are all investing big money in each other which makes it look like the industry is doing well.

I think this snippet get the gist across:

The money flows in loops: Nvidia invests in AI startups, startups commit to cloud spending, cloud providers purchase Nvidia hardware, Nvidia recognizes revenue, but the cash never completes the circuit because the underlying economic activity—AI applications generating profit—remains insufficient.

"Every public company now faces machine-speed scrutiny of accounting practices. Anomalies that might have persisted for quarters until human analysts identified patterns now trigger immediate algorithmic responses."

There will be fallout, for sure, as soon as they finish calculating what percentage of profit should be fined away.

Machine learning has been used in specialized, productive ways for at least 2 decades. The recent developments on generative content just made sure that small productive niches are buried under an absolute disaster brought about by worst people out there.