the upside for Fogo feels a lot like Hyperliquid in its early days @0xdoug respected in the space and building Ambient to give retail a real edge in an untapped perps market in the SVM world if Fogo hits mainnet this year, I think it’s gonna grab a chunk of SOL market share and

how it feels to be early in Fogo

all in on Fogo absolute control over trading

gm, breakfast today? fogo

gm fogo enjoyers

this is where i am tweeting from

one thing that keeps coming back to me: how do you prove that an open model stays open? the moment code is public, someone can fork it, close it, and sell it back and that breaks the entire idea of collective intelligence that’s why @SentientAGI OML 1.0 feels like a real

wonder how many true believers will stay same bullish after Fogo hits mainnet? I mean those who are yelling gfogo everywhere right now

funny thing about open systems you can’t really ''own'' them in the traditional sense the moment you try to hold on, they stop evolving value here isn’t something you possess it’s something you create every time you contribute - a piece of data, a fix, an insight, a new

I’ve been thinking about value lately how it moves, who gets it, who doesn’t in most AI systems it flows only up data comes from people, profit goes to a few open intelligence should work differently @SentientAGI tries to change that logic value should circulate between

the 'F' in @fogo stands for Fast

GM fogo traders

Fogo won’t even give them a chance (i hope)

now imagine how trading with @SentientAGI features will look like with OML, MCP, GRID, ROMA it would be banger trading but don't forget always dyor

there’s something fascinating about the idea of intelligence learning through interaction not through static datasets or labeled examples, but through the unpredictable dynamics of other minds that’s what @SentientAGI MindGames Arena experiments with: agents that grow not by

gf: dear, why have you been staring at the oven for two hours? how am I supposed to explain to her that I’m just staring at the stones? oh badges

skibidi dop yes yes, oh, yeah-yeah loweer loweeeeeer (c) Skibidi Trump

when I look at @SentientAGI, what stands out is how each layer solves a different part of what “intelligence” actually needs to exist -> OML defines how models stay open yet protected. -> MCP gives them a shared protocol -> Grid provides the environment to connect and scale ->

just bought iphone 17 thank you crypto!

sometimes I wonder why every AI still talks the same way -> one model, one answer, one voice it’s like we keep rebuilding the same interface, just changing the engine underneath but real intelligence doesn’t work in straight lines it’s made of many parts thinking at once