ayern
@DefiAyern
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๐๐ฎ๐ข๐ฅ๐๐ข๐ง๐ ๐ ๐๐๐ ๐ญ๐ก๐๐ญ ๐๐จ๐ง๐ง๐๐๐ญ๐ฌ ๐๐๐ ๐ข ๐ฉ๐ซ๐จ๐๐ฎ๐๐ญ๐ฌ ๐ฐ๐ข๐ญ๐ก ๐ฅ๐จ๐ฒ๐๐ฅ ๐ฎ๐ฌ๐๐ซ๐ฌ | ๐๐ฒ๐๐๐ซ๐ฌ๐๐๐ฎ๐ซ๐ข๐ญ๐ฒ
ahead
Joined January 2025
How to Learn On-Chain Data Analysis & Make Your First $20K A Simple Guide๐งต:
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one thing Iโd add is how prediction markets are evolving beyond binary โyes/noโ outcomes weโre starting to see formats where how you think matters as much as what you think for example, markets that let participants express conviction visually or structurally, not just
Polymarket, Kalshi, Limitless, Space, Opinion Everywhere you turn, there seems to be a prediction market platform. Some people think prediction markets are just a trend and they'll fade soon. Some others think prediction markets have no real use case beyond gambling Here's the
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imo, the best action you could take right now is to pay attention to xyberinc ai will control the entire global workforce within soon @Xyberinc treats ai like a worker, not a feature this means an ai can do tasks and earn money just like humans do when a software can earn by
jsyk i've been busy offline onboarding builders to xyber xyberinc is simply too good to ignore if youโre a builder in the ai space, xyberinc is open and actively welcoming developers - the best way to describe Xyberinc is as an operating system that enables a wide range of ai
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imo, the best action you could take right now is to pay attention to xyberinc ai will control the entire global workforce within soon @Xyberinc treats ai like a worker, not a feature this means an ai can do tasks and earn money just like humans do when a software can earn by
jsyk i've been busy offline onboarding builders to xyber xyberinc is simply too good to ignore if youโre a builder in the ai space, xyberinc is open and actively welcoming developers - the best way to describe Xyberinc is as an operating system that enables a wide range of ai
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every major ico crash shared one fatal flaw: there was no real cost to dumping early tokens were unlocked immediately, creating instant sell pressure whales flipped huge allos, and retail was left holding the bag the result was predictable crash after crash. prices destroyed
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every major ico crash shared one fatal flaw: there was no real cost to dumping early tokens were unlocked immediately, creating instant sell pressure whales flipped huge allos, and retail was left holding the bag the result was predictable crash after crash. prices destroyed
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the market is extremely volatile right now, and itโs exhausting sometimes, the best trade is no trade for now, stablecoin yield is the safer lane the simplest approach is to convert your bags to stables and deploy them into yield vaults like @alturax that way, you continue
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jsyk i've been busy offline onboarding builders to xyber xyberinc is simply too good to ignore if youโre a builder in the ai space, xyberinc is open and actively welcoming developers - the best way to describe Xyberinc is as an operating system that enables a wide range of ai
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the market is extremely volatile right now, and itโs exhausting sometimes, the best trade is no trade for now, stablecoin yield is the safer lane the simplest approach is to convert your bags to stables and deploy them into yield vaults like @alturax that way, you continue
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jsyk i've been busy offline onboarding builders to xyber xyberinc is simply too good to ignore if youโre a builder in the ai space, xyberinc is open and actively welcoming developers - the best way to describe Xyberinc is as an operating system that enables a wide range of ai
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remember the โsave the kidsโ skem token? it was a clear example of hype + insider dumping early supporters got crushed while whales exited quickly this is what happens when launchpads prioritize speed or whitelists over real conviction now imagine a different approach: >
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> forcing time-based commitment changes everything it filters out mercenaries and attracts people who actually believe in the vision
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so it was error... one of the reason i didn't put out a post about @Xyberinc ty @xeetdotai for rectifying this asap
If you are seeing an "account limited" notation on your Xeet profile, it is most likely incorrect. The error was caused by a false scoring flag from a new system of transparency that we will be rolling out soon.
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remember the โsave the kidsโ skem token? it was a clear example of hype + insider dumping early supporters got crushed while whales exited quickly this is what happens when launchpads prioritize speed or whitelists over real conviction now imagine a different approach: >
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i agree with this framing OM1 is optimizing for coordination: > shared context, identity, and verifiable action are exactly what robots need once they leave the lab i feel FABRIC is more like a missing layer. if machines are going to act in the real world, they need a way to
The @openmind_agi OM1 is starting to look like the real AI OS layer for robots, not just another research project itโs built to let machines share context, verify identity and act together in real environments. What gets me most is how theyโre pushing decentralized coordination
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breaking: avalanche has officially surpassed 10 billion transactions across its entire ecosystem this is just the beginning
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Somnia closed 2025 the right way by rewarding real users: - onchain activity turned into NFTs - participation turned into points, stimmies, and potential airdrops you can literally mint your year on Somnia
We're hosting Somniaverse one last time in 2025 on Monday, Dec 29 at 2:00 PM UTC. Join us on Discord to reflect on everything weโve built together this year and discuss whatโs ahead in 2026. See you there.
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most ai today runs on blind trust you get an output, but you have no idea what actually happened inside the model what Inference Labs is doing is smart: > by slicing the model into only the critical decision paths, they cut the cost, the time, and the complexity > parallel
Back in the kitchen again ๐งโ๐ณ Cooked up another custom graphic, this time showing how @inference_labs actually works in practice The problem is pretty simple: AI gives you an answer but you usually have no real way to know how it got there or whether anything was tampered with.
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this is exactly the kind of innovation ai needs rn trusting ai blindly wonโt cut it when real value is on the line all inference labs is saying is "don't trust, verify." the model is like verifying the key scenes of a movie instead of watching it all over again this balance
Back in the kitchen again ๐งโ๐ณ Cooked up another custom graphic, this time showing how @inference_labs actually works in practice The problem is pretty simple: AI gives you an answer but you usually have no real way to know how it got there or whether anything was tampered with.
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