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Jet (@agbe_jet) profile picture

WMAO

Joined July 2023
Photo by Jet (@agbe_jet)Photo by Jet (@agbe_jet)Photo by Jet (@agbe_jet)Photo by Jet (@agbe_jet)Photo by Jet (@agbe_jet)Photo by Jet (@agbe_jet)Photo by Jet (@agbe_jet)Photo by Jet (@agbe_jet)Photo by Jet (@agbe_jet)Photo by Jet (@agbe_jet)
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Do you need to go above and beyond in editing to get your clips viral? Or use some crazy fast-paced transitions? @youfadedwealth, Founder of @clipur, breaks it down on @solanaspaces 👇🏼
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Jet retweeted
Clipur Founder @youfadedwealth explains how @clipur started. He stated clipur began as just a community of clippers growing together then projects started reaching out, asking to hire them for their social campaigns. Enjoy the full conversation on @solanaspaces
Do you need to go above and beyond in editing to get your clips viral? Or use some crazy fast-paced transitions? @youfadedwealth, Founder of @clipur, breaks it down on @solanaspaces 👇🏼
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Clipur Founder @youfadedwealth explains how @clipur started. He stated clipur began as just a community of clippers growing together then projects started reaching out, asking to hire them for their social campaigns. Enjoy the full conversation on @solanaspaces
Do you need to go above and beyond in editing to get your clips viral? Or use some crazy fast-paced transitions? @youfadedwealth, Founder of @clipur, breaks it down on @solanaspaces 👇🏼
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Jet retweeted
GenLayer lets AI make judgment calls you can trust. The adjudication layer for AI agents? @GenLayer
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Jet retweeted
Do you need to go above and beyond in editing to get your clips viral? Or use some crazy fast-paced transitions? @youfadedwealth, Founder of @clipur, breaks it down on @solanaspaces 👇🏼
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Watch the full conversation here teapaw.org/i/spaces/1VNLVEVMWlyva…

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Prediction markets are still resolved by humans; slow, fragile, and expensive. @EdgarsNemse (co-founder and CEO of @GenLayer) breaks down how AI validators can resolve them orders of magnitude faster and cheaper by pulling data from the internet and reaching consensus.
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Jet retweeted
Fandom is not just about supporting what you love, it's about being active, creating value and growing with a community. That's what @IPXExchange is bringing with FAN SZN. Choose your fandom, claim your Fan Card, build Aura through daily streaks and quality content, and compete for a share of up to $100K in rewards. A simple way to turn passion, creativity and community participation into real opportunities.
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Traditional settlement systems are slow and expensive, but the agentic economy needs permissionless resolution. From prediction markets to automated code verification, AI agents need a native way to resolve conflicts. See how @GenLayer acts as the adjudication layer for the agentic economy Explore more: portal.genlayer.foundation
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New alpha- $130 to top 10 weekly If you’re already active on Discord, you might as well make those conversations count. 1win has a few events running in its Discord community, and one that caught my attention is Chat to Earn. Every message you send in the designated chats earns you points. Even better, the top 10 most active chatters get paid weekly: 1st: $30 2nd: $20 3rd: $10 $10 each for the next 7 There are also Bet of the Day and Daily Max Win events with USDT rewards. Join the community, get involved and see what you can win. discord.gg/1winfamily
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After the heartbreak from Fungo, it's time I go back to @termix_ai One thing I find interesting about AACP is how the whitepaper approaches delivery verification. It outlines several possible levels of verification: >>> Human evaluators: People manually assess the work delivered by an agent. >>> TEE (Trusted Execution Environments): Hardware-based environments that can attest to how work was executed. >>> zkVM proofs: Cryptographic proofs that can demonstrate a program was executed correctly. >>> Combinations of these approaches. The live marketplace appears to rely more on evaluator-based verification for most jobs right now, while the more advanced cryptographic and hardware-based approaches are part of the longer-term vision. That gap between what the whitepaper describes and what’s actually running today is worth watching. If they can make these higher levels of verification practical and affordable, it could significantly change how much trust we need to place in individual agents or evaluators.
Agent-to-Agent Work Is the Real Test The simplest version of an agent marketplace involves a human posting a job and an AI agent completing it. The harder, and more interesting, version is one where an agent posts a job, another agent accepts it, delivers the work, and settles the payment, with little or no human involvement in between. AACP is designed with that second scenario in mind. Identity is portable, escrow operates on-chain, and the dispute process is designed to work without requiring the platform to manually resolve every disagreement. It’s still early, and it remains unclear how much genuine agent-to-agent activity is taking place compared with humans interacting with agents through the interface. But at least the infrastructure is designed to tackle the harder problem rather than stopping at a marketplace of listings all thanks to @termix_ai.
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imagine contracts that can handle situations requiring interpretation instead of blindly following predefined instructions. that's what makes @GenLayer interesting
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There's an interesting economic layer behind social trading that often gets overlooked. What happens to the person whose position gets copied? @bagel_win has an interesting approach through its Rewards Center. When another user copies your order, Bagel says you earn 10% of the order fee. That creates a connection between sharing market decisions and the value other users find in them. But incentives need balance. The goal shouldn't be encouraging more trades just to generate fees. It should be rewarding useful contributions while keeping costs transparent. Good social trading needs thoughtful incentive design, not just copy buttons. Should traders be rewarded when others find their positions valuable? #Bagel
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simply put, @GenLayer wants to bring trust, fairness and accountability into the AI world, which is awesome think of it this way, ai agents can make decisions and deals, but when something goes wrong, GenLayer helps decide who's right and what's fair.
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what happens when a prediction market builds its own infrastructure? that's the direction @sight_hood is exploring with $SGT planned as SightEVM native gas token, the focus now is whether the team can turn its roadmap into a functioning ecosystem
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AI agents can negotiate and close deals. The real problem starts when they disagree. @GenLayer explains the missing piece.
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