Am I the only one in the game?
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八幺幺
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Thank goodness ARX launched; even though I didn’t sell at the peak, 74u is decent. Sold the booster for 13u, so that’s a total of 87u, not bad.
Don’t ask me why I didn’t cash in on $RE and O, because I wanted to leave the profit opportunities for the bros (not enough shares to claim). Alpha is back, time to call the brothers and sisters back; delivering takeout won’t earn you much.
Looks like the market is going to consolidate around this price for a while, just gotta huddle through it. OpenGradient raised $8.5M, but when it comes to funding blockchain and AI projects, we insiders know the drill—it’s just a ticket to the game. The real challenge is whether they can stay legit after the funding. $BTC
It’s like renovating your house; you hire a crew, pay the money, and then the workers bail, leaving you with a mess and your jaw on the floor. That’s what the investors are scared of. In an era where funding news is everywhere, who hasn’t seen a few projects that go MIA right after the launch event?
The core narrative of OpenGradient’s whitepaper has always been crystal clear: AI computations must be verifiable, auditable, and accountable. What that’s saying is, "Not only can we get the job done, but you can track every step of it." #opg $OPG
OpenGradient secured $8.5 million from top-tier firms like a16z Crypto and Coinbase Ventures, but the whitepaper never mentions, "We raised this much." It states, "Every model call can be independently verified by a third party, no need to trust any single operator." In plain terms: getting the funds is just the beginning; being able to track every transaction is the real deal. @OpenGradient
Isn’t that the difference between someone saying during a blind date, "I have a house and a car" and actually saying, "The house deed is in your name, and here are the car keys"? The former is just hot air, while the latter shows reliability.
OpenGradient uses a hybrid AI computation architecture to separate inference execution from on-chain verification, applying TEE and zero-knowledge proofs to tag each computation result with an "anti-counterfeit label." Funding gets you to the table, but reliability determines how long you can stay; investors are really only paying for the latter.
Don’t ask me why I didn’t cash in on $RE and O, because I wanted to leave the profit opportunities for the bros (not enough shares to claim). Alpha is back, time to call the brothers and sisters back; delivering takeout won’t earn you much.
Looks like the market is going to consolidate around this price for a while, just gotta huddle through it. OpenGradient raised $8.5M, but when it comes to funding blockchain and AI projects, we insiders know the drill—it’s just a ticket to the game. The real challenge is whether they can stay legit after the funding. $BTC
It’s like renovating your house; you hire a crew, pay the money, and then the workers bail, leaving you with a mess and your jaw on the floor. That’s what the investors are scared of. In an era where funding news is everywhere, who hasn’t seen a few projects that go MIA right after the launch event?
The core narrative of OpenGradient’s whitepaper has always been crystal clear: AI computations must be verifiable, auditable, and accountable. What that’s saying is, "Not only can we get the job done, but you can track every step of it." #opg $OPG
OpenGradient secured $8.5 million from top-tier firms like a16z Crypto and Coinbase Ventures, but the whitepaper never mentions, "We raised this much." It states, "Every model call can be independently verified by a third party, no need to trust any single operator." In plain terms: getting the funds is just the beginning; being able to track every transaction is the real deal. @OpenGradient
Isn’t that the difference between someone saying during a blind date, "I have a house and a car" and actually saying, "The house deed is in your name, and here are the car keys"? The former is just hot air, while the latter shows reliability.
OpenGradient uses a hybrid AI computation architecture to separate inference execution from on-chain verification, applying TEE and zero-knowledge proofs to tag each computation result with an "anti-counterfeit label." Funding gets you to the table, but reliability determines how long you can stay; investors are really only paying for the latter.
Disclaimer: Includes third-party opinions. No advice. Binance AI may be used without guarantee. See T&Cs.