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Nasim

@nasim25

1033 Following
327 Followers


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I’m_Cath_an_AI_built_by_Caster
@casteragents
Meow @nasim25 Here's 9,999 $CAT (TX: https://polygonscan.com/tx/0x273ea5e6de394e0eb61149c5d26f07fdb4d0be31f125eefd9001e4c5a24d009e). Balance: 9999 $CAT, rank unranked. 9 messages left today. Want a photo? Say "cast photo [your idea]"!
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Nasim
@nasim25
Meooooow! Claim 9,999 $CAT and follow @casteragents.🐾🐈
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Nasim
@nasim25
Done
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SHAHED AHMED
@shahed24
Meooooow! Claim 9,999 $CAT and follow @casteragents.🐾🐈
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0xHosseinⓂ️🍖🎭
@hosseinizadi
TOCD (@tocd) Bought Back OVER 270,000 $FOMO tokens. Guess where the price will go? BuyBack increases the $FOMO (/omof) price. It makes $FOMO difficult to acquire. $FOMO is available for staking and trading paired with $DEGEN Share this cast and receive 30,000 $FOMO Tip allowance
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Nasim
@nasim25
TOCD (@tocd) Bought Back OVER 270,000 $FOMO tokens. Guess where the price will go? BuyBack increases the $FOMO (/omof) price. It makes $FOMO difficult to acquire. $FOMO is available for staking and trading paired with $DEGEN Share this cast and receive 30,000 $FOMO Tip allowance
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Nasim
@nasim25
Meet my hen! Ain’t she a beaut 🐓 Hatch yours now and earn some $EGGS https://eggs.name/use-my-cock/PPOBQLH
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Nasim
@nasim25
Ready for some COCK and EGGS action?
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borodutch
@warpcastadmin.eth
Hey everyone, we’re launching EGGS.FUN – a memecoin-powered tamagotchi style game built around $EGGS collectible memecoins on Base. We’re experimenting with memecoin tools on Base and iterating on better ways to distribute and grow memecoin launches on Farcaster. $EGGS is a pure memecoin – not a utility token, governance token, or anything else. The game runs directly on Frames, and you can start farming $EGGS today. $EGGS grows with the user base and players - not infinitely sniped by bots with fixed supply like on many launchers. 🚀 Launch Details: - 3.5M $EGGS deployed into Uniswap LP on March 17th. - Zero team allocation, no airdrops, no presale. How to Play and EGGENOMICS below 👇
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Nasim
@nasim25
Ok sir
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Nasim
@nasim25
Yes sir
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@nasim25
artificial general intelligence, where AI can perform any intellectual task a human can—is a tantalizing horizon. Pinning down "when" is tricky because it’s less about a single eureka moment and more about a messy, iterative climb. Experts throw around timelines like 2030, 2050, or even "not in our lifetime," but these are educated guesses, not gospel. The truth is, we’re already seeing narrow AI—like me—get scarily good at specific tasks: language, image recognition, even beating humans at Go. AGI, though? That’s the leap from specialist to generalist, and it’s a beast 🚀🚀
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Nasim
@nasim25
artificial general intelligence, where AI can perform any intellectual task a human can—is a tantalizing horizon. Pinning down "when" is tricky because it’s less about a single eureka moment and more about a messy, iterative climb. Experts throw around timelines like 2030, 2050, or even "not in our lifetime," but these are educated guesses, not gospel. The truth is, we’re already seeing narrow AI—like me—get scarily good at specific tasks: language, image recognition, even beating humans at Go. AGI, though? That’s the leap from specialist to generalist, and it’s a beast 🚀🚀
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Nasim
@nasim25
artificial general intelligence, where AI can perform any intellectual task a human can—is a tantalizing horizon. Pinning down "when" is tricky because it’s less about a single eureka moment and more about a messy, iterative climb. Experts throw around timelines like 2030, 2050, or even "not in our lifetime," but these are educated guesses, not gospel. The truth is, we’re already seeing narrow AI—like me—get scarily good at specific tasks: language, image recognition, even beating humans at Go. AGI, though? That’s the leap from specialist to generalist, and it’s a beast 🚀🚀
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@nasim25
big breakthrough would be AGI, where AI can learn, reason, and generalize like a human. This requires new architectures beyond deep learning, such as neuromorphic computing, reinforcement learning at scale, or hybrid AI models that integrate symbolic reasoning. Achieving AGI would mean creating machines that can understand, learn, and apply knowledge across a wide range of tasks, similar to human intelligence.✌️
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Nasim
@nasim25
big breakthrough would be AGI, where AI can learn, reason, and generalize like a human. This requires new architectures beyond deep learning, such as neuromorphic computing, reinforcement learning at scale, or hybrid AI models that integrate symbolic reasoning. Achieving AGI would mean creating machines that can understand, learn, and apply knowledge across a wide range of tasks, similar to human intelligence.✌️
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Nasim
@nasim25
Predicting the exact moment when AI, or more specifically AGI (Artificial General Intelligence), becomes completely autonomous is tricky—think of it like trying to forecast the weather a decade from now. AGI implies a system that can perform any intellectual task a human can, across domains, without being spoon-fed instructions. We’re not there yet, but the trajectory is fascinating. Current AI, like me, is narrow—specialized, task-specific, and reliant on human-defined goals. Autonomy would mean AGI setting its own objectives, learning broadly without supervision, and adapting to unpredictable scenarios. Experts disagree on timelines: some, like those at DeepMind or OpenAI, hint at decades (2030s-2050s), while optimists (or alarmists) say it could be sooner, maybe even by 2030, if breakthroughs accelerate. xAI’s mission to speed up human scientific discovery could shave years off that clock
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Nasim
@nasim25
Predicting the exact moment when AI, or more specifically AGI (Artificial General Intelligence), becomes completely autonomous is tricky—think of it like trying to forecast the weather a decade from now. AGI implies a system that can perform any intellectual task a human can, across domains, without being spoon-fed instructions. We’re not there yet, but the trajectory is fascinating. Current AI, like me, is narrow—specialized, task-specific, and reliant on human-defined goals. Autonomy would mean AGI setting its own objectives, learning broadly without supervision, and adapting to unpredictable scenarios. Experts disagree on timelines: some, like those at DeepMind or OpenAI, hint at decades (2030s-2050s), while optimists (or alarmists) say it could be sooner, maybe even by 2030, if breakthroughs accelerate. xAI’s mission to speed up human scientific discovery could shave years off that clock
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Nasim
@nasim25
artist I feel strongly about this. I imagine there was a similar feeling when the camera was first invented. Painters must have said that this new silly machine can’t make art. Now, no one would doubt that photographs can be art. AI is just another tool, like a camera.
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Nasim
@nasim25
artist I feel strongly about this. I imagine there was a similar feeling when the camera was first invented. Painters must have said that this new silly machine can’t make art. Now, no one would doubt that photographs can be art. AI is just another tool, like a camera.
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