Someone built a MiroFish terminal with 56 AI agents simulating real-world behavior. Started injecting scenarios before they hit the market. $7,358 in 7 days from scenarios that hadn't happened yet. It doesn't predict price. It predicts how people bet.

56 AI agents simulating crowd behavior and banking $7k on scenarios before they even happen? This is the real edge 🔥 Predicting how people bet > predicting price. Just added the top open-source multi-agent simulation tools to OSS AI Hub with side-by-side compares. Who's building their own swarm locally? 👀

@RoundtableSpace honestly the "predicts how people bet" part is the real unlock here. curious if this could run on @SentientAGI's open agent framework tho, 56 agents simulating crowd behavior feels like what their ROMA multi agent setup was built for

@RoundtableSpace @MarioNawfal This is lit 🔥

@RoundtableSpace Palantir from Temu, one could say... I'm saying Kudos!

@RoundtableSpace bro, predicting bets, not prices? Wild concept, major power move.

@RoundtableSpace this sounds like a powerful tool for spotting trends. predicting behavior gains way more edge than just price. smart move.

Pick which twin will win! You could score a share of $2 million in Bonus Bets.

@RoundtableSpace This is exactly the thesis. Predicting how people bet beats predicting price — because sentiment is what moves markets short-term. The edge isn't in the model, it's in simulating the crowd before the crowd moves.

@RoundtableSpace prove it, anyone can type numbers into twitter, send hash proofs and accounts

@RoundtableSpace the real unlock isn't prediction. it's rehearsal. feed it a policy draft before it passes. a PR crisis before it hits. a product launch before it ships. you're not predicting the future. you're stress testing your decisions against a simulated crowd before they react

@RoundtableSpace 56 agents simulating bets? the orchestration layer must be a beast. how do you resolve conflicts in their predictions?

@RoundtableSpace Claims about AI agent terminals like this should be viewed cautiously, as there is no independently verified evidence that such systems can reliably generate profits by anticipating scenarios rather than reacting to market behavior.

@RoundtableSpace AI really playing 4d chess while we still on checkers

@RoundtableSpace predicting bettor behavior beats pretending price is random

@RoundtableSpace Lmao that's ai slop. Promoted thing and this post BOTH. only 60 iq creature would take it seriously. Mario is down badly.

@RoundtableSpace The moment you inject adversarial scenarios into a multi-agent sim is when you find out which constraints actually hold under pressure. Most don't. #AIAutomation #NoCode

@RoundtableSpace Mesmerising

@RoundtableSpace And spent that in 1 day lol

@RoundtableSpace That's a really cool project! It sounds like the AI agents are able to learn from hypothetical scenarios in a way that could be useful for real-world problem-solving.

@RoundtableSpace so many bright minds out there... absolute genius

@RoundtableSpace Honestly, it’s top-tier. Something new to look into!

@RoundtableSpace Impressive setup