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@virtuals_io supporter All in @KaitoAI follow @miranetwork
Việt Nam
Joined March 2019
architectures are easy to sketch. Incentives are not. What @miranetwork built, PoW for meaningful work + PoS for honest behavior, creates economic gravity toward correctness. bad verification becomes expensive. honesty becomes profitable. that’s how you build infrastructure
real Value Comes From Domain Fit, Not Model Size bigger isn’t always better. A smaller model with the right routing, caching, and verification can outperform a “superhuman benchmark” model in the real world. that’s why Klok thrives with crypto intelligence. It’s powered by
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chain abstraction finally feels real what surprised me about BestPath AVS is how it makes chains stop feeling like separate worlds. pathfinders compete, simulators verify, challengers keep everyone honest, and the user just gets the best route without touching a bridge or
what i like most about this move from @useTria is how honest it feels. most platforms ask creators to push content, but they rarely give them a place to grow together. creating a dedicated space for infofi creators flips the script. you get early product signals, content angles,
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what clicked for me is that infinit doesn’t try to replace defi. it interprets it. it turns the noise of protocols, apys, risks, unlocks, and sentiment into something coherent and contextual. @Infinit_Labs takes my wallet, my behavior, my goals, and curates strategies that
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devika’s comment is a reminder that tokenization isn’t a tech trend, it’s a geopolitical shift. RWAs aren’t just numbers on chain. they touch jurisdiction, settlement, custody, liquidity, and real economic exposure. that’s why alignment matters. Multipli’s direction mirrors
one thing i appreciate about multipli: they don’t romanticize yield. they treat it as a system design problem. better routing, safer vault isolation, smarter allocation, that’s how you create yield that actually survives market cycles. sustainable beats sensational, every time.
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most chains pretend to support assets, but you can feel the friction the moment you try to move anything serious across them. noble being purpose-built for issuance and interoperability sounds niche… until you notice how many chains break because they weren’t designed for this.
talk to any merchant and they’ll tell you a simple truth: settlement speed dictates survival. when noble says 24/7 programmable dollars, that’s not a technical flex, it’s a lifeline. faster cash flow, lower fees, no middlemen… that compounds into higher margins and fewer
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everyone talks about “fixing AI hallucinations,” but few address the structure of information itself. @miranetwork’s claim splitting is a subtle but profound breakthrough: one messy block becomes dozens of independent micro-truths. consensus becomes clearer, bias decreases,
architectures are easy to sketch. Incentives are not. What @miranetwork built, PoW for meaningful work + PoS for honest behavior, creates economic gravity toward correctness. bad verification becomes expensive. honesty becomes profitable. that’s how you build infrastructure
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what I respect most about this rollout is the honesty: Walrus isn’t trying to reinvent the world in one announcement. It’s solving the stuff developers quietly struggle with every day, cost, performance, and predictable access to data. the developer preview is a good reminder
what i found most interesting is how projects like https://t.co/RguX1Htbzc and zark lab are leaning on walrus not just for storage, but for proof. training data for modern AI is massive, yes, but size is not the real issue. trust is. if you cannot prove where data came from, who
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education Needs Precision, Not Hype if you’ve ever designed assessments, you know the pain: writing high-quality questions is slow and brutally expensive. learnrite solved this not by using a bigger model, but by pairing generation with @miranetwork Verified AI. the result?
real Value Comes From Domain Fit, Not Model Size bigger isn’t always better. A smaller model with the right routing, caching, and verification can outperform a “superhuman benchmark” model in the real world. that’s why Klok thrives with crypto intelligence. It’s powered by
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talk to any merchant and they’ll tell you a simple truth: settlement speed dictates survival. when noble says 24/7 programmable dollars, that’s not a technical flex, it’s a lifeline. faster cash flow, lower fees, no middlemen… that compounds into higher margins and fewer
chains love to optimize for speed, security, or yield pick one and call it a brand. but neutrality? that’s a rarer promise. what noble builds is more than a feature bundle. it’s a settlement layer that doesn’t compete with you, doesn’t steer liquidity, doesn’t push an agenda.
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one thing i appreciate about multipli: they don’t romanticize yield. they treat it as a system design problem. better routing, safer vault isolation, smarter allocation, that’s how you create yield that actually survives market cycles. sustainable beats sensational, every time.
usdc deposits going live on monad through multipli v2 feels like plugging a clean power source into an engine built for performance. monad handles speed. @multiplifi handles capital efficiency. together, you get flow the kind of flow that actually matters when billions start
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what i like most about this move from @useTria is how honest it feels. most platforms ask creators to push content, but they rarely give them a place to grow together. creating a dedicated space for infofi creators flips the script. you get early product signals, content angles,
yes, @useTria is not listed yet, but bitget already gives a clear path: create an account, top up with any method you like, and you are basically ready the moment tria goes live. what helped me most was just getting the account and kyc done early. no waiting, no scrambling on
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what i found most interesting is how projects like https://t.co/RguX1Htbzc and zark lab are leaning on walrus not just for storage, but for proof. training data for modern AI is massive, yes, but size is not the real issue. trust is. if you cannot prove where data came from, who
the most underrated part of this launch is how aligned it is with the ai boom. ai models are only as good as the data they touch, and right now that data is messy, unverified, and often impossible to trace. @WalrusProtocol gives provenance. seal adds privacy. combined, you get a
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usdc deposits going live on monad through multipli v2 feels like plugging a clean power source into an engine built for performance. monad handles speed. @multiplifi handles capital efficiency. together, you get flow the kind of flow that actually matters when billions start
a hard truth I’ve come to accept: as long as advanced strategies stay locked behind institutional walls, retail will always be stuck in low-yield mode. and that caps the entire market’s growth. what Multipli is doing hits at something deeper than “better returns.” they’re
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chains love to optimize for speed, security, or yield pick one and call it a brand. but neutrality? that’s a rarer promise. what noble builds is more than a feature bundle. it’s a settlement layer that doesn’t compete with you, doesn’t steer liquidity, doesn’t push an agenda.
most crypto users are tired of complicated staking, lockups, and yield farming strategies. USDN’s value proposition lies in its simplicity: hold in wallet, earn yield. no extra action needed. I appreciate how @Noble_xyz built a product that respects time and mental load.
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real Value Comes From Domain Fit, Not Model Size bigger isn’t always better. A smaller model with the right routing, caching, and verification can outperform a “superhuman benchmark” model in the real world. that’s why Klok thrives with crypto intelligence. It’s powered by
Mainnet + Staking: Finally, AI Verification Has Skin in the Game Most AI moderation and verification systems rely on goodwill. Mira relies on economic consequences. With the mainnet live and validators staking MIRA, the system now rewards accuracy, and penalizes manipulation.
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most crypto users are tired of complicated staking, lockups, and yield farming strategies. USDN’s value proposition lies in its simplicity: hold in wallet, earn yield. no extra action needed. I appreciate how @Noble_xyz built a product that respects time and mental load.
USDN hit $100 M in supply within 87 days of launch. @noble_xyz that’s not luck, that’s real demand. the fact that it paid out over $1.5 M in yield to tens of thousands of holders, while generating hundreds of millions in swap volume, tells me this isn’t a niche experiment. it’s
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when MIRA listed on Binance, Upbit, and others, people called it “hype.” They’re missing the bigger point. for a verification layer to become standard, it needs distribution, not speculation. the listings expanded access for devs, validators, and institutions who will actually
Mainnet + Staking: Finally, AI Verification Has Skin in the Game Most AI moderation and verification systems rely on goodwill. Mira relies on economic consequences. With the mainnet live and validators staking MIRA, the system now rewards accuracy, and penalizes manipulation.
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a hard truth I’ve come to accept: as long as advanced strategies stay locked behind institutional walls, retail will always be stuck in low-yield mode. and that caps the entire market’s growth. what Multipli is doing hits at something deeper than “better returns.” they’re
At first, I was skeptical about synthetic staking. It sounded like a workaround rather than a solution. But the more I sat with it, the more it made sense. Synthetic staking isn’t trying to copy PoS. It’s trying to free PoW and other non-stakeable assets from their structural
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At first, I was skeptical about synthetic staking. It sounded like a workaround rather than a solution. But the more I sat with it, the more it made sense. Synthetic staking isn’t trying to copy PoS. It’s trying to free PoW and other non-stakeable assets from their structural
for years, institutional yield felt like a closed room. delta neutral strategies. Arbitrage models. Capital thresholds. if you were not a fund, you were not invited. what surprised me about @multiplifi is how quietly they flipped that dynamic. the same strategies banks use
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as someone who’s spent years watching analysts explain strategies on twitter that nobody can actually replicate, prompt to defi feels like a breakthrough. just describe a multi step plan in english and the agents build the entire executable structure. no code, no spreadsheets,
before infinit, every defi action required tab-hopping: research someplace, simulate elsewhere, execute manually. but having intelligence and strategies tied together in one conversational loop feels surprisingly natural. you learn, you ask, you adjust, you execute all without
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