A story went around today that made me laugh, then wince, because I've seen the same mistake in a lot of pitch decks.
What happened
Pietro Miotti, who says plainly that he's not an archaeologist, took public NASA lidar data covering about 1,200 km² of the Maya region in Mexico. Lidar is a laser scan from an aircraft, and you can think of it as an X-ray of the ground under the trees. According to his write-up, 48 AI agents went through the strips "one by one like very patient archaeologists".
They flagged a hilltop with a levelled plaza, an oval pyramid of roughly 8–12 metres, a raised courtyard, a possible reservoir and three platforms that were probably houses. He sent a report to INAH, Mexico's national institute of anthropology and history. It replied that "no registered archaeological site was identified at the location given in your report." He says the whole thing took less than 72 hours from idea to official reply.
The story hit Hacker News today and passed 800 points within hours.
The twist
Then came the update dated 11 November. The site had already been mapped in a 2025 paper by Estrada-Belli and colleagues. The agents missed it while going through the literature. It also wasn't in INAH's register yet, which explains the reply, because a missing database entry doesn't prove nobody has found something.
Credit to the author for posting the correction openly. Plenty of people would have quietly deleted the post.
Why this is a founder story
I've been building products for 13+ years, and the most dangerous slide in any deck is the one that says "no direct competitors". It's almost never true. Usually it means the search stopped too early.
The Maya story is a clean example of that, with AI in the middle. The agents did two different jobs:
- Finding something. They were excellent at this. Spotting a pyramid shape in noisy lidar is genuinely hard.
- Checking whether it's new. This is where it fell apart.
These jobs need different instincts. Finding rewards enthusiasm, and checking rewards suspicion. When you ask one AI session to do both, the enthusiasm usually wins. One HN commenter put it well: agents tend to declare novelty after reading most, but not all, of the existing work.
I've seen the same thing in ordinary product work. Ask an AI whether an idea exists and you often get a confident "there's nothing quite like this". Then a two-minute search in a startup directory shows four of them, two of which shut down for reasons you'd really like to know.
The other side
I don't want to dunk on this. One person, public data and a few days produced a site interpretation that used to need a funded team and a field season. The method worked. The rediscovery even validates the method, because it found something real that experts had also found.
The failure is narrow and fixable. The AI didn't hallucinate a pyramid. It just didn't check the footnotes.
The check I'd use
If an AI tells you something is new, whether it's a startup idea, a bug nobody reported or a "novel" approach in your codebase, do this before you believe it:
- Separate the jobs. Open a fresh chat with no context about how excited you are. Ask only: "Find existing examples, papers, products or competitors for X. Links only."
- Make it argue against you. "Assume someone has done this before. Where would I find them?" works better than "Is this new?"
- Open the links yourself. Half the value is noticing which sources the AI didn't look at.
- Ask a human who lives in that world. One archaeologist, one customer or one person on the forum where the topic gets discussed. Their "oh, that's the thing from last year" is worth a hundred tokens.
- Treat database silence as weak evidence. "Not in the register" isn't the same as "doesn't exist". The same goes for "not on Product Hunt" and "no results on page one".
What I take from it
AI makes finding cheap. That means more people will "discover" things, and most of those discoveries will be rediscoveries. That's fine, as long as we stop treating "the AI didn't find it" as proof that it isn't there.
The pyramid has waited more than a thousand years. It can wait five more minutes for a literature check.
Have you ever been sure you were first with an idea, a fix or a product, and then found out you weren't? What gave it away?
