I had a thought while reading @SentientAGI's post..
What if open-source AIs like Sentient improve by having various AI agents compete on tasks, rewarding the agent that provides the answer the questioner prefers?
In crypto, rewards aren't just targeted at users.
Isn't it worth hoping for the advancement of permissionless/open-source AI by driving competition among AIs through the biggest strength of crypto, which is rewards?
Instead of the Trump reading room, let's listen to the @SentientAGI AMA at 9 PM on the 15th!
Are you all checking the Trump reading room?
I heard that the Trump president's sons made over 1 trillion won in profits from coins this year.
Moreover, the major coins related to the Trump family are:
Official Trump $TRUMP
Official Melania meme $MELANIA
Stablecoin $USD1
World Liberty Financial $WLFI
The market capitalization of these four coins is approximately $7.71B, close to 11 trillion won.
WLFI surpassed a market cap of $5 billion right after listing, and it was seen that the Trump family made trillions in profits in a short period...
Last spring, it was mentioned that it was a good time to buy stocks, and a bull market followed, with specific themes or stocks being mentioned.
It's quite a sad yet funny situation that the market reacts to a single word from the U.S. president, but as an investor, it's essential to follow up on these matters.
Experiencing such events, I suddenly thought that instead of a single model providing information at Sentient, multiple open-source agents could explore and verify information simultaneously, producing results that could help in investments through accurate predictions.
The more accurate the predictions, the more rewards are given, and penalties are imposed for incorrect interpretations, creating a trust-based structure that evolves into a more sophisticated and efficient direction over time.
With such a structure, it would be possible to detect and predict market patterns in real-time, such as the rapid rise and fall of coins/stocks related to Trump, following the sequence of political statements > fund movements > price reactions.
Sentient's intelligence layer does not treat these signals as simple events but interprets them in relation to behavioral patterns, emotional flows, and market reactions, estimating the potential for future price fluctuations.
What Sentient is creating is not just a prediction engine but a self-evolving intelligence network that reads market psychology and data flows.
It can be seen as a new form of AI financial sense that captures even human variables like political themes as statistical patterns.
Even if I don't make profits in the trillions like the Trump family, can't I protect my assets with Sentient?
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