Apoush

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Apoush

Apoush

@apoushDiv

Art that moves a little | @RoboX_to storyteller | Contributor @KASTxyz

Присоединился Ağustos 2024
42 Подписки49 Подписчики
Morsa
Morsa@0xmorsa·
@AIVIVEHQ doesn't stop at AI generation Users buy credits with USDC on Base CCTP moves revenue to Solana Jupiter swaps it into AVV Then AVV gets burned on chain The point is simple usage creates scarcity in the background
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Apoush
Apoush@apoushDiv·
So who is going to be the 50th person to follow me?
GIF
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Apoush
Apoush@apoushDiv·
Another AI image generator is not the interesting part here That market is already crowded You open a tool type a prompt get an image and move on The bigger question is not whether AI can make good images anymore It can The real question is what happens to the value that comes from all this creation Right now most of it goes back to centralized subscription platforms Users make the culture platforms keep the economics That is where @AIVIVEHQ gets interesting Every image generation can feed a revenue loop behind the product That revenue moves onchain buys back AVV and helps reduce supply permanently So the app is not just a surface for creating images It is also the engine that powers the token economy People use the product revenue comes in the loop runs supply gets smaller This is the part that makes the idea different Aivive is not asking users to hold a token before they create It lets the creative activity come first and lets the economic layer work in the background AI made content feel infinite Aivive is trying to make the network behind that content more scarce every time people use it
AIVIVE@AIVIVEHQ

x.com/i/article/2062…

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Reya
Reya@0x01space·
where creators and communities grow together with the network @AIVIVEHQ
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Reya
Reya@0x01space·
Most AI projects just focus on making content AIVIVE is more about what happens after content is created it connects AI generated content onchain value sharing and creator ownership and turns user activity into a transparent economic loop
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Apoush
Apoush@apoushDiv·
@0xjimboo Tnx aloot Mate 😍
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Jimboo
Jimboo@0xjimboo·
@apoushDiv I just can say wowwww You are so talented
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Apoush
Apoush@apoushDiv·
POW!
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Apoush
Apoush@apoushDiv·
Most crypto products still stop at holding value You keep stablecoins in a wallet maybe move them between apps maybe send them to an exchange then wait for the real world part to begin That gap is the problem The interesting thing about KAST is that it does not treat stablecoins as something that should stay trapped inside crypto rails It turns them into something closer to everyday money You can store digital dollars receive global payments earn on idle balances move money across borders and spend through a card when life actually asks for payment That full flow matters more than one single feature Because most people do not wake up thinking about financial infrastructure They just want money that works when they need it @KASTxyz feels important because it is trying to make stablecoins useful beyond trading and holding not louder just more usable
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KAST
KAST@KASTxyz·
Matchday is coming ⚽ Are you ready?
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Apoush
Apoush@apoushDiv·
Lab data is useful, but it usually shows the clean version of the world. The real world is different. Objects are not always in the right place, lighting changes, hands move imperfectly, rooms are cluttered, and people do things in ways that are hard to script. That mess is not a problem for robotics data. It is the point. @RoboX_to matters because it helps capture the kind of first person data robots actually need if they are going to work outside controlled environments. @0xsikdar , @0xnag1 , @MohdSarim0
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Apoush
Apoush@apoushDiv·
@RoboX_to Now even drinking water can be valuable data who would’ve thought!?
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Apoush ретвитнул
RoboX
RoboX@RoboX_to·
EgoTask is a data collection campaign for robotics training. First-person video of everyday manipulation tasks, recorded on an iPhone or GoPro, one to five minutes per session. During recording, RoboX tracks both hands and labels every grasp, then turns the footage into training data for imitation learning: hand poses, grasp types, camera trajectory, and object contacts.
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Apoush
Apoush@apoushDiv·
One of the biggest gaps in robotics is not that teams do not know what they want to build, it is that they do not have enough real world data to train it properly. A robot that only learns from clean lab setups will struggle when the room is messy, the object is slightly different, or the movement does not go as planned. @RoboX_to is interesting because it connects normal people with robotics teams through useful first person recordings. People capture real tasks from real environments, and that data can become training material for robots that need to understand the world outside the lab. @0xsikdar , @0xnag1 ,@MohdSarim0
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