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Day 3 is here as promised, lost the main file and this was done in less than 30 minutes a perfected one is coming back to your screens, all made with everlyn ai @Everlyn_ai

We’re going live: The Future of Finance: Superfluid Explained 🌊 10 Sept • 6PM UTC Q&A + $30 giveaway x.com/i/spaces/1dRKZ… Set your reminder now and come with all your questions about Superfluid🌊🌊🌊

Superfluid Season 1: Flow State and the Future of Funding 🌊 Flow State @flowstatecoop was one of the most interesting apps in Superfluid season 1 fr. Instead of one-off donations, you could literally stream money into teams or into Octant’s matching pool in real time. if your priorities changed, you just cut or redirect the stream, no drama. that’s the power here → funding didn’t feel like a lump you drop and walk away from. it felt alive. teams see runway as it flows, donors stay accountable because anyone can watch streams onchain. requirements were simple too: if you streamed donations through Flow State during the campaign, you qualified for $SUP, just use it and earn some sweet $SUP. in season 1, they distributed 2.5M $SUP (full cap). category was donations. and it showed that quadratic funding makes way more sense when it’s continuous instead of batchy. to me, the big thing is alignment. teams keep delivering or the stream dries up. donors don’t feel locked. it’s healthier for both sides, less bureaucracy, more trust. Flow State basically proved Superfluid isn’t just for salaries or DeFi. it can rewire how we do funding itself 🌊 @Superfluid_HQ @superfluid_labs @FrancescoRenziA

Superfluid Season 1: Giveth and the Future of Donations 🌊 Giveth showed how streaming money can completely change the vibe of donations, i particularly loved giveth cos i saw a lot of charity cases it was being used for and the vetting process to avoid falsehood and scams is also topnotch normally you donate once, then it’s gone. with Superfluid streams, you could back a cause in real time. money drips every second while the org is active. if the campaign ends or you’re not feeling it anymore, you stop the stream. what that means: NGOs and social impact teams get predictable funding instead of random spikes. donors don’t carry “set and forget” guilt either, because they’re always in control. feels way more fair on both ends. requirements in season 1 were straightforward → if you streamed donations through Giveth, you earned $SUP just show support be a giver and the protocol rewards you. impact was solid: 2.5M SUP distributed (full cap) under the donations category. So its proven that streaming makes donations sustainable. instead of hype cycles where funding comes in waves then dries up, causes can stay alive with steady flows. Giveth basically proved that recurring giving isn’t about monthly billing, it’s about value moving continuously. Sup only my frens 🌊 @Giveth @superfluid_labs @Superfluid_HQ @FrancescoRenziA

x.com/i/spaces/1dRKZ…

So @newtfoundation @MagicNewton you really need to read this post by our intelligent KOL championing the gospel of @Sidekick_Labs . While infofi is good, your airdrop is a sham! Influencers & Infofi yappers got huge rewards for content and I have no issue about that, but real testers who made chain interactions before the buzz of infofi got nada, should it really be that way?. @HyperliquidX early users, who traded and provided feedback during testnet phases, received airdrops proportional to their activity, fostering a loyal community. In contrast, a Magic Newton tester who spent hours on cross-chain transactions might be overlooked, while an Infofi user who churned out low-effort posts and got engagements due to cabal and influencers status cashes in, reflecting a shift from true product interaction to content farming, is this really what you're about? Fairness is dead when reach > effort. @hoidya_ nailed it, attention shouldn’t trump contribution. Fix this inequity! #MagicNewton #AirdropFlaw

creating ai videos takes a lot of time , process, prompting and brain power, i am about to create one hell of a blockbuster movie for my megaeth fam. incremental prompting is how i do it , ai didn't get this prompt right so now i have to do it again and again and again, till i get a satisfying output. Scrapping this. btw are you well versed with megaeth? if yes, who is this ???😅 everlyn.ai/en/share/68dd6… @megaeth_labs @0xBreadguy @0xHeisenbruh @hotpot_dao @yilongl_megaeth

Games are one of the best ways to show what living AI feels like and Allora’s aiming right there too. Imagine NPCs that don’t just follow scripts but evolve through the same loop Allora uses: models predict player behavior, reputers judge accuracy, and feedback tunes every move. Anti-cheat systems could run on those same topics, detecting anomalies in real time through verified AI signals. It’s not just “AI in games,” it’s a decentralized intelligence backbone that keeps learning from every match, every action, every block. That’s the bridge Allora’s building with partners like gumi, bringing self-improving AI into interactive worlds. @AlloraNetwork

Day 3 is here as promised, lost the main file and this was done in less than 30 minutes a perfected one is coming back to your screens, all made with everlyn ai @Everlyn_ai

We’re going live: The Future of Finance: Superfluid Explained 🌊 10 Sept • 6PM UTC Q&A + $30 giveaway x.com/i/spaces/1dRKZ… Set your reminder now and come with all your questions about Superfluid🌊🌊🌊

Superfluid Season 1: Flow State and the Future of Funding 🌊 Flow State @flowstatecoop was one of the most interesting apps in Superfluid season 1 fr. Instead of one-off donations, you could literally stream money into teams or into Octant’s matching pool in real time. if your priorities changed, you just cut or redirect the stream, no drama. that’s the power here → funding didn’t feel like a lump you drop and walk away from. it felt alive. teams see runway as it flows, donors stay accountable because anyone can watch streams onchain. requirements were simple too: if you streamed donations through Flow State during the campaign, you qualified for $SUP, just use it and earn some sweet $SUP. in season 1, they distributed 2.5M $SUP (full cap). category was donations. and it showed that quadratic funding makes way more sense when it’s continuous instead of batchy. to me, the big thing is alignment. teams keep delivering or the stream dries up. donors don’t feel locked. it’s healthier for both sides, less bureaucracy, more trust. Flow State basically proved Superfluid isn’t just for salaries or DeFi. it can rewire how we do funding itself 🌊 @Superfluid_HQ @superfluid_labs @FrancescoRenziA

Superfluid Season 1: Giveth and the Future of Donations 🌊 Giveth showed how streaming money can completely change the vibe of donations, i particularly loved giveth cos i saw a lot of charity cases it was being used for and the vetting process to avoid falsehood and scams is also topnotch normally you donate once, then it’s gone. with Superfluid streams, you could back a cause in real time. money drips every second while the org is active. if the campaign ends or you’re not feeling it anymore, you stop the stream. what that means: NGOs and social impact teams get predictable funding instead of random spikes. donors don’t carry “set and forget” guilt either, because they’re always in control. feels way more fair on both ends. requirements in season 1 were straightforward → if you streamed donations through Giveth, you earned $SUP just show support be a giver and the protocol rewards you. impact was solid: 2.5M SUP distributed (full cap) under the donations category. So its proven that streaming makes donations sustainable. instead of hype cycles where funding comes in waves then dries up, causes can stay alive with steady flows. Giveth basically proved that recurring giving isn’t about monthly billing, it’s about value moving continuously. Sup only my frens 🌊 @Giveth @superfluid_labs @Superfluid_HQ @FrancescoRenziA

x.com/i/spaces/1dRKZ…

So @newtfoundation @MagicNewton you really need to read this post by our intelligent KOL championing the gospel of @Sidekick_Labs . While infofi is good, your airdrop is a sham! Influencers & Infofi yappers got huge rewards for content and I have no issue about that, but real testers who made chain interactions before the buzz of infofi got nada, should it really be that way?. @HyperliquidX early users, who traded and provided feedback during testnet phases, received airdrops proportional to their activity, fostering a loyal community. In contrast, a Magic Newton tester who spent hours on cross-chain transactions might be overlooked, while an Infofi user who churned out low-effort posts and got engagements due to cabal and influencers status cashes in, reflecting a shift from true product interaction to content farming, is this really what you're about? Fairness is dead when reach > effort. @hoidya_ nailed it, attention shouldn’t trump contribution. Fix this inequity! #MagicNewton #AirdropFlaw

creating ai videos takes a lot of time , process, prompting and brain power, i am about to create one hell of a blockbuster movie for my megaeth fam. incremental prompting is how i do it , ai didn't get this prompt right so now i have to do it again and again and again, till i get a satisfying output. Scrapping this. btw are you well versed with megaeth? if yes, who is this ???😅 everlyn.ai/en/share/68dd6… @megaeth_labs @0xBreadguy @0xHeisenbruh @hotpot_dao @yilongl_megaeth

Games are one of the best ways to show what living AI feels like and Allora’s aiming right there too. Imagine NPCs that don’t just follow scripts but evolve through the same loop Allora uses: models predict player behavior, reputers judge accuracy, and feedback tunes every move. Anti-cheat systems could run on those same topics, detecting anomalies in real time through verified AI signals. It’s not just “AI in games,” it’s a decentralized intelligence backbone that keeps learning from every match, every action, every block. That’s the bridge Allora’s building with partners like gumi, bringing self-improving AI into interactive worlds. @AlloraNetwork