I like how there are all these terms with increasingly loose definitions, to which we attach different levels of evilness:
- algorithm - older, reliable, deterministic except when it’s “The Algorithm” in capital letters like “The Social Media Algorithm”; then it becomes evil
- machine learning - been out for decades, hasn’t destroyed the world, mostly does its job undetected. Used mainly by technical people
- machine intelligence - The machine is starting to become conscious but it is still generally helpful. “Machine intelligence” performs brain surgery, detects tumors, folds and unfolds proteins, whatever that means (but it sounds like a good thing, so we’ll give it a pass)
- artificial intelligence - machine intelligence’s evil twin. Takes credit for everything good that comes from the other ones and we tend to believe it, because it’s the only one we can actually speak to and can lie to us very convincingly. On its own it can draw pretty pictures and animate them, write code that occasionally works, pretend to love us and teach us the most effective way to slash our own wrists
Machine intelligence and aritificial intelligence are the same thing. AI just changed its meaning too much i guess. What was AI few years ago, is now machine intelligence.
(Somebody correct me if i’m wrong, i know you want to…)
The original comment or first line was
“I like how there are all these terms with increasingly loose definitions, to which we attach different levels of evilness”
On a technical level, I agree machine intelligence and artificial intelligence are closely related, if not the same definition. However, they are not synonymous for the average person, going back to the “loose definitions” bit.
On November 20, 2025, trading algorithms identified what may become the largest accounting fraud in technology history
Did these algorithms just look up the Gamer’s Nexus video about the circular financing that was published a month earlier?
Financial analysts were sounding the alarm in October. On October 7, Bloomberg ran an influential article about the circular deals:
That built on earlier reporting where they described the deals as circular, as the deals were being announced. Each of these reports notes the financial analysts at different investment firms sounding the alarm.
From there, a robust discussion happened all over the financial press about whether these circular deals were truly unstable. By the time Gamers Nexus ran that video the financial press was already kinda getting sick of the story.
Whatever the hell these trading algorithms were doing on November 20, they definitely weren’t ahead of the curve on investor knowledge and belief.
Whatever the hell these trading algorithms were doing on November 20, they definitely weren’t ahead of the curve on investor knowledge and belief.
Yup. But you’d need to keep your head out of the AI bubble’s arse to notice that. :D
I’m pretty sure I watched some random youtuber’s video explaining how circular this shit is nearly a month ago… I guess it’s 2025, so human observations doesn’t matter, what matters is “what does the AI think”.
You are correct. Gamers Nexus did a video on this a month earlier.
Hank Green also did a video on this, I think 🤔
The entirety of what little remains of independent media discovered the apparent undiscoverable over a month before our Tech-corp’s AI super-intelligence overlords. Amazing.
Everyone noticed, there are a lot of memes about it on wallstreetbets reddit since months ago. This is old news.
Yeah I’m glad this news is like everywhere and a major scandal and there will be a fallout
There will be fallout, for sure, as soon as they finish calculating what percentage of profit should be fined away.
The rest of us knew it was a scam all along. and we didn’t need AI to figure that out.
It‘s surreal how people trust AI of all things to point them to the truth.
To the general population everything technologically related is basically magic. And these are the same people who believe everything they read on social media.
It’s the result of poor education or zero education in STEM. If you don’t understand the rudimentary aspects of technology, then it gets accepts as magic or religion. See AI and Elon Musk.
Even with proper education, most people don’t have a reason to care enough to be knowledgeable about technology.
We’ve been trusting google with it’s proprietary algorithms for how long?
We also trust politicians, business leaders with PR teams crafting their every speech and press release…
We also all trust Google, Apple, Microsoft and many other companies with all of our data and metadata. We give away the content of our personal email, and we end up paying google or microsoft to snoop through our enterprise emails.
I don’t know what you call trust, but count me out mate.
Just because there’s no option it’s not meant to say I can’t see the grift.
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!
While true, what actually happened was interesting. Algorithm’s are not inherently bad, afterall.
At some point, someone wrote a rule to verify DSO against other tech companies, and trigger an automated short position to correct the market changed from an earnings call.
To me, that’s pretty cool. This wasn’t magic LLM AI, this was a smart engineer that programmed a system to discover problems as they arose.
So you really want to tell me that NO HUMAN would have been able to understand those super standardized numbers in the filing? Sure man.
It took 18h for the AI to detect this. 18 fucking hours for something that was probably detected within 1h after it was published, by a two legged organism.
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.
You are absolutely right. They are talking about algorithmic trading and machine intelligence. Both things that have been in use for decades. Not sure why this is news then.
It’s the confusion between and LLM and AI.
LLMs are just algorithms that understand language. They don’t really think for themselves. They just search the database of stolen ideas and try to apply it.
But we all use those words interchangeably they basically mean the same thing.
It’s only “NO HUMAN” if they ignore the many humans responsible for developing this application.
But that’s totally normal in the griftosphere.
It’s only “NO HUMAN” if they ignore the many humans responsible for developing this application
Or the fact that humans already posted a video about this circular financing a month earlier
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.
Did you just ignore the second part of my post on purpose? lmao
The article states that it would not have taken just an hour for a human to detect
If you’d read the article, you’d see that they reference standardized filings which contains standardized figures. Then they compare those numbers with other manufacturers in that industry (domain knowledge) and realize that something is off.
Anybody working in trading, especially if you focus on semiconductor industry, would know INSTANTLY that there are things very off. The article is so utterly stupid I can’t even comprehend.
Lmao the absolute sass in this reply, mmmm delicious!
And don’t forget that the two legged organic machine would have used way less energy to do so
I am not so sure since I saw Super Size Me.
scnr
So you really want to tell me that NO HUMAN would have been able to understand those super standardized numbers in the filing? Sure man.
Gamers Nexus managed to figure it out a month earlier using good old-fashioned HI.
I am so glad that we have people like Stephen Burke on this planet. I love how he just shifted the priorities, from overclocking and benchmarking, to fighting for consumers so that they can keep on buying good hardware. He deserves much love.
Don’t they call Burry the GOAT?
Kind of gross how this article seems to be trying at every turn to say, “no ai is actually good! It helped us catch the bad businessmen that happen to be in the AI industry!” By focusing on a tiny trading period on November 20th.
Hank Green isn’t a finance bro or an AI guy or even really a tech guy. He’s just a guy reacting to things that are trending, and I remember I had seen the main graphic he was talking about floating around the internet for a while before I watched the video. People have been calling AI a “bubble” for much longer.
I am old enough to remember the report that 95% of generative AI companies failed to see returns from using it. That was back in August.
I don’t like giving credit to “trading algorithms” for things that humans figured out a long time ago.
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.
Don’tsay AI found it, just an algorithm caught it.Could have been as simple as a spreadsheet highlighting cells with a ratio that was below a threshold.
Article didn’t say what software was used.
Edit: I meant “didn’t say”. Autocorrect has been really going after me lately.
But the AI or algorithm didn’t catch it - humans did just fine with that part.
Yeah! I saw reporting on this months ago.
What I appreciated about this article was the detail about how they tried to hide it.
Also I love GN. Thanks for sharing!
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.
Oh yeah I have as much respect for him as I can have for any other celebrity I’ve never met or interacted with at all. I just wanted to get ahead of anyone responding to me pointing out that he’s not particularly qualified on this subject.
The reason I referenced him at all was not because of his qualifications, but as a way of establishing how popular these conversations were on the internet at the time. In that sense, the fact that he’s not an AI or finance expert and doesn’t specialize in such content speaks to how widespread the topic was at the time.
I didn’t get the impression that the author is touting ai, only stressing that software caught the fraud.
So AI exposed AI scam?
So uh AI works then and will fix all our problems that it caused in the first place 👍
Roflmao
Is this what he meant by we should be using AI for everything?
“AI” <—> “AI”
Meaningless grift fixed by meaningless grift? Sounds like peak grift.
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.
AI != Al
One has a lower case L. But most people don’t check for fontjacking and I just sold a 3 billion data center for Al 👍
I don’t know how to tell you this, but not everything a computer does is AI.
But it is though… AI was started long before computers were made.
AI at its core means “intelligent behaviour exhibited by non-natural/Artificial means”. This means that if your OS “intelligently” switches tasks on physical threads on cpu that’s AI. If you go to supermarket and the door opens when you go near it, that’s AI as well (actually this example was in our intro to AI textbook).
So computers are a special case of AI, so are calculators.
why call Ed Zitron an algorithm tho
I love Ed. He is the personification of my emotions.
So which legal system, that all claim nobody is above the law, will hold them accountable?
Absolute idiots
ELI5?
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.
That’s why transactions are defined as the exchange of something of value. In most legal systems, if you’re caught swapping phony transactions like that, you can be prosecuted for fraud.
Nvidia invests in company… Company buys Nvidia items… Nvidia stock goes up… Nvidia has new pretend money to invest into another company…
And this is news to people?
Apparently so.
Question is: which of those is truly the best short play?
Only winning play is to not.
Why would nvidia have new money to invest when its stock goes up? That’s not how the stock market works, you buy stock from other investors, not the company. Unless they finance all their investments with debt and use their higher valuation to get easier access to that financing. Which seems unlikely.
Don’t get me wrong, I 100% think AI is a crap bubble, but I don’t think you understood how this scam works.
NVIDIA sells GPUs to Oracle. Oracle sells GPU time to openai.
When time comes to pay the bills, openai doesn’t have the money to pay Oracle who then doesn’t have money to pay NVIDIA. So, Oracle gives stock to NVIDIA, and openai also gives stock to NVIDIA.
NVIDIA doesn’t care if both go broke because now a gpu is worth a lot more, and in the books they’re selling a lot more GPUs each for a lot more money. So NVIDIA stock goes through the roof even if they ran out of cash and got into ridiculous debt.
Shareholders have a ridiculous profit, NVIDIA directors get a massive bonus and NVIDIA CEO gets famous.
Why is it a problem? Because nobody has cash and this can’t go on forever without some massive bankruptcies. I’m sceptical anyone is paying their power bills or servicing bank loans, so these may get dragged into the mud too.
the power bill seems to be placed on customers of the electric companies
Wouldn’t NVIDIA care? They now own part of the company in exchange for that hardware?
If they go bankrupt, nvidia loses their stake in a company, and it all falls apart. GPUs won’t stay this expensive if this implodes.
OpenAI though, can only go on for as long as their venture capitalists are willing to support it.
I’m not convinced the current LLM architecture can ever make an AGI, but it a can be useful and be made more useful. There could come a point where it’s usefulness and it’s short comings reach a profitable point that people will accept.
What could also help is nvidia being able to come out with more power efficient chips as well. It could go a long way to solving at least one of the problem.
The point is that major shareholder will try to hide insider knowledge to sell their stock before a big crash.
They pump the stock value as much as possible and sell it before it crashes. They make a shit ton of money and some suckers are left holding the bag.
Ah, yes those people definitely don’t care, they’ll make their money either way.
I think your question comes from thinking that anybody involved in this grift cares about anything other than short-term results. They would sell both their own kidneys as long as they only had to deliver after the next quarterly earnings report.
Because higher stock value means more collateral for debt.
You’d be surprised on how much debt is used in even small companies.
I’m aware, usually investments are not financed (primarily) with debt though.
Having the capabilities to take on debt helps to garner investments.
You can do a joint venture, take on a bit of debt but get more money of it.
And we’ve seen many mega corpos finance their venture throught debt (see Uber business model).
So I’d say that it was true in the past, but corpos are getting bolder.
Companies issue new stock to raise capital all the time.
Yea, except Nvidia didn’t.
That’s not how the stock market works, you buy stock from other investors, not the company.
The company can issue more stock, not just use debt for its financing. And the value of the new stock is strongly influenced by the market price of the stock that has already been issued.
Nvidia’s outstanding shares have declined continuously since 2017.
I think I understand. Can… Can I have the $5 now please?
300% profit! Where’s my bonus!
You are allowed to take an extra 15-minute break.
But it has to be used this week. And during quiet times. And not within an hour of any other break. Or the start and end of your work hours. And not on any day that ends in Y.
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.
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.
“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.”
Good reading. Besides Nvidia and the AI money bubble, the link to Bitcoin is interesting.I‘ve read so many other articles about financial acrobatics with Bitcoin and how it collapses now, I‘m waiting to see it falling down to 50k.
I‘m waiting to see it falling down to 50k.
Yeah, if you look at long-term averages, this is a realistic buy price.
