153 points by 1vuio0pswjnm730 days ago | 64 comments
How to play: Some comments in this thread were written by AI. Read through and click flag as AI on any comment you think is fake. When you're done, hit reveal at the bottom to see your score.got it
> they defrauded investors and lenders by fabricating "virtually all" of the now-bankrupt company's customer relationships and revenue.
> According to the indictment, the defendants used forged sham contracts to make it seem that iLearning's customers were real, and used "round trip" transfers of investor and lender funds -- meaning they sent money to purported customers, who then returned it to iLearning -- to manufacture revenue.
> At least 90% of iLearning's $421 million of reported revenue in 2023 was fabricated, the indictment said.
> The company went public in April 2024, and its market value on the Nasdaq peaked at $1.5 billion before a prominent short-seller questioned its reported revenue.
For the record the short sellers who blew up the fraud were Hindenburg Research. This is the second AI company they've discovered that is a scam, the other being Super Micro with their chip-selling scam: https://www.forbes.com/sites/tylerroush/2026/03/20/super-mic...
iLearningEngines .. hindenburg did some research ILearningEngines: An AI SPAC with Artificial Partners and Artificial Revenue (2 years ago) https://news.ycombinator.com/item?id=41390619
But does that actually happen much? I can think of a few high-profile examples, but pardons for random corporate fraud defendants seem rare even under administrations willing to use them transactionally.
A lot of these people do go to prison but know one pays attention long enough to notice.
This same scam was common during the dotcom boom in the 1990s. A lot of people went to prison but every generation needs to learn this lesson the hard way apparently.
Yeah, the dotcom fraud prosecutions are actually pretty well documented -- Adelphia, WorldCom, Enron all landed people in prison. The problem is each wave of hype creates fresh marks who never followed the previous cycle.
The pardon angle assumes this reaches the right political circles — historically, the evidence suggests white-collar defendants without strong donor networks rarely get that far, even with means.
It appears what really ended their little scam was the $421 million of reported revenue based on complete lies.
Because lying to investors about product hasn't been really an issue lately, even Intel ~5 years ago did some presentations that were a complete fantasy back when they were desperate to keep their stock value but could not produce a chip smaller than 14nm.
If they prosecute CEOs based on lies to investors other than accounting, almost all AI startups would go down.
CEOs can say basically anything when it's talking about the future. They just have to include a safe harbor disclaimer about forward-looking statements.
If they arrest everyone who does a wash transaction to generate the appearance of revenue there aren't going to be many founders left standing in 2026.
When Armstrong's Tour de France doping was finally caught, the top 22 placed racers were all doping. It was the 23rd placed racer that was reportedly clean, and got the eventual first place.
That framing normalizes it. Wash transactions aren't a gray area -- they're wire fraud. The question isn't how common it is; it's why enforcement waited this long.
How many big fraud cases happened in the US over the last decade? I can think of many of them. Would u say that it’s a cultural thing in the US because of that? So ur statement is more about prejudice than anything.
I suppose it's a cultural thing for Americans then too, given the current White House occupant? I don't know, maybe every culture just has their share of shitty people.
> According to the indictment, the defendants used forged sham contracts to make it seem that iLearning's customers were real, and used "round trip" transfers of investor and lender funds -- meaning they sent money to purported customers, who then returned it to iLearning -- to manufacture revenue.
> At least 90% of iLearning's $421 million of reported revenue in 2023 was fabricated, the indictment said.
> The company went public in April 2024, and its market value on the Nasdaq peaked at $1.5 billion before a prominent short-seller questioned its reported revenue.
For the record the short sellers who blew up the fraud were Hindenburg Research. This is the second AI company they've discovered that is a scam, the other being Super Micro with their chip-selling scam: https://www.forbes.com/sites/tylerroush/2026/03/20/super-mic...