Keng
@kengdaica
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Support to @miranetwork @brevis_zk @useTria
Joined August 2020
I always thought of my crypto wallet as a place to hold money, not use it. Until @useTria flipped the script for me. Tria connects self-custody wallets directly to spending rails, so USDC, SOL, ETH or even BTC can be used immediately through the Tria Card without sending funds
i just read that Tria raised $12 million in its latest pre-seed + strategic funding round. to me, that changes the conversation: this is not some side project or vaporware. it’s funded, backed by serious investors, and building real infrastructure. that funding means they’re
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Most people talk about the Tria Card or rewards, but the part that changed my personal confidence the most is something you don’t see: BestPath AVS. Before Tria, every cross chain action felt like gambling: Will liquidity fail? Will fees spike? Will a bridge get stuck? Am I
I always thought of my crypto wallet as a place to hold money, not use it. Until @useTria flipped the script for me. Tria connects self-custody wallets directly to spending rails, so USDC, SOL, ETH or even BTC can be used immediately through the Tria Card without sending funds
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brevis changes the moment you stop asking what the chain can handle and start asking what your logic could be. @brevis_zk moves the heavy work off-chain, proves it, and brings the result back on-chain as if the chain ran it natively. the contract stays minimal. the application
这 @brevis_zk 增📈有点快，出乎了我的意料 通过hook机制搞到链上交易量突破14.1亿美金，可见真的是钱验证了可验证跨链数据的价值 @brevis_zk 把多链数据，聚合+zk证明，让应用能像 pancake一样根据持仓动态调整费率。 它既是隐私计算协处理器，也是可验证分析鱼防女巫工具包。 预期明年tge，大毛
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one thing I’ve realized watching @openmind_agi evolve is this: the future of robotics hinges less on commands and more on shared world-models. most robots today follow instructions blindly. but OM1 flips the script. Instead of waiting for direct orders, robots learn to see,
Everyone talks about autonomous robots doing jobs, trading resources, or coordinating logistics. But none of that works if you can't prove who acted, when, and whether it was safe. That’s why FABRIC feels like such a necessary layer from @openmind_agi. If robots are going to
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Something interesting is happening behind the scenes: builders are starting to treat @fogo as the “first deployment” chain, not just an optional expansion. Not because of hype. Because of physics. When block times sit at 40 ms, finality lands in 1.3 seconds, and Firedancer
recent coverage by CoinGecko reiterated what many of us already saw: Fogo delivers 40 ms block times and 1.3 s finality while staying SVM-compatible. that means dApps, tools, and liquidity protocols from Solana can migrate almost seamlessly but run on an environment optimized
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the AI companion in @LumiterraGame is the biggest advantage nobody talks about the more time I spend in Lumiterra, the more I realize the AI companion isn’t just a cute follower, it’s a quiet power boost that shapes how efficiently you play. it watches how you move, what you
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brevis changes the moment you stop asking what the chain can handle and start asking what your logic could be. @brevis_zk moves the heavy work off-chain, proves it, and brings the result back on-chain as if the chain ran it natively. the contract stays minimal. the application
这 @brevis_zk 增📈有点快，出乎了我的意料 通过hook机制搞到链上交易量突破14.1亿美金，可见真的是钱验证了可验证跨链数据的价值 @brevis_zk 把多链数据，聚合+zk证明，让应用能像 pancake一样根据持仓动态调整费率。 它既是隐私计算协处理器，也是可验证分析鱼防女巫工具包。 预期明年tge，大毛
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We’re entering a world where data doesn’t just sit there, it behaves. On @WalrusProtocol, a blob isn’t a file. It’s an object with rules: who can access it when they can access it what they must pay what contracts can extend or revoke rights Combine that with Seal’s access
AI models are hitting a wall. Not because they lack training data But because they lack trusted training data. As models scale, the bottleneck isn’t size. It’s provenance: Where did this data come from? Has it been tampered with? Can I prove it’s the same dataset I trained on
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AI models are hitting a wall. Not because they lack training data But because they lack trusted training data. As models scale, the bottleneck isn’t size. It’s provenance: Where did this data come from? Has it been tampered with? Can I prove it’s the same dataset I trained on
recent updates reaffirm a truth i’ve slowly come to accept: storage isn’t just about saving files. it’s about giving those files rules, behavior, and life. walrus was built to treat blobs as programmable objects with metadata, onchain IDs, and storage logic. that shift is
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The EVM gave us smart contracts. But it also locked developers into a world of step-by-step, transaction-bound thinking. When I first understood Anoma’s Intent Machine (IM), it clicked: This feels like what a blockchain VM should have been all along. Instead of instructing the
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Why consolidation around settlement layers is inevitable Every ecosystem goes through the same arc: Explosion of experimental chains Fragmentation Liquidity thinning Consolidation around foundational layers @Noble_xyz Cosmos is entering stage 4. Appchains aren’t going away
Why businesses will enter Web3 through @Noble_xyz without even knowing it Enterprises don’t want: ❌ new wallets ❌ complex bridging ❌ liquidity risks ❌ inconsistent UX ❌ regulatory ambiguity They want: ✔️ predictable settlement ✔️ compliant assets ✔️ plug-and-play
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Why businesses will enter Web3 through @Noble_xyz without even knowing it Enterprises don’t want: ❌ new wallets ❌ complex bridging ❌ liquidity risks ❌ inconsistent UX ❌ regulatory ambiguity They want: ✔️ predictable settlement ✔️ compliant assets ✔️ plug-and-play
I never expected holding a dollar to feel productive. But USDN proved something simple: if the collateral earns yield, users should too. No staking. No lockups. No DeFi gymnastics. Just Treasury-backed yield flowing through the system the way it should’ve always worked. It
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long-term infra is built on quiet correctness not on hype not on slogans not on flashy launches but on systems that behave correctly block after block month after month. that’s why @multiplifi feels durable. the product grows because the architecture grows. and that’s the kind
the thing nobody talks about in RWAs is how slow credibility used to move. attestations every quarter documents lost in email numbers that age the moment they’re published but with @multiplifi + AFI credibility now moves at block-speed. reserves update live collateral status
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Decentralized Verification Eliminates AI’s Single Point of Failure Every centralized AI system suffers the same structural flaw: One model. One perspective. One potential bias. @miranetwork flips the architecture. Multiple models interpret the same claim. Multiple verifiers
Why AI Needs a Trust Layer Before It Needs More Power Most people think the next breakthrough in AI will come from bigger models, longer context windows, or trillion-parameter scaling. But that’s not what breaks products today. What breaks them is trust. A single hallucination
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Why AI Needs a Trust Layer Before It Needs More Power Most people think the next breakthrough in AI will come from bigger models, longer context windows, or trillion-parameter scaling. But that’s not what breaks products today. What breaks them is trust. A single hallucination
recent public data claims that Mira’s verification layer boosts output accuracy to ~96% and cuts hallucinations by as much as 90%. it’s one thing to talk about solving AI’s reliability problem. It’s another to see the numbers drop dramatically. that shift changes how I think
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Most people talk about the Tria Card or rewards, but the part that changed my personal confidence the most is something you don’t see: BestPath AVS. Before Tria, every cross chain action felt like gambling: Will liquidity fail? Will fees spike? Will a bridge get stuck? Am I
I always thought of my crypto wallet as a place to hold money, not use it. Until @useTria flipped the script for me. Tria connects self-custody wallets directly to spending rails, so USDC, SOL, ETH or even BTC can be used immediately through the Tria Card without sending funds
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Everyone talks about autonomous robots doing jobs, trading resources, or coordinating logistics. But none of that works if you can't prove who acted, when, and whether it was safe. That’s why FABRIC feels like such a necessary layer from @openmind_agi. If robots are going to
robots won’t scale just because they get stronger or smarter. they scale when we can trust them. openMind’s decentralized identity and verification layer builds exactly that, robots that can prove who they are, what they did, and whether an action is safe. in a world of shared
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Hybrid Notes are one of the most overlooked features of @0xMiden. They let developers mix the programmability of accounts with the privacy and transferability of UTXOs. It’s a dual system that works because proofs, not the chain, enforce correctness. Practically, this enables
Most people still imagine rollups through the lens of Ethereum: you sign a transaction, send it somewhere, and wait for a sequencer to tell you what happened. But @0xMiden flips that flow on its head. On Miden, your device executes the transaction locally and produces a zk-proof
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Most people still imagine rollups through the lens of Ethereum: you sign a transaction, send it somewhere, and wait for a sequencer to tell you what happened. But @0xMiden flips that flow on its head. On Miden, your device executes the transaction locally and produces a zk-proof
when i reflect on what @0xMiden brings, i keep coming back to the idea of it as an “edge zk-rollup”: execution and state moved to the client side, hybrid notes model, optional privacy or public flows, native support for smart contracts and composability. in a world where most
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One thing I don’t think people fully grasp: Brevis is making it possible to use on-chain behavior without exposing the wallet behind it. Want to prove you’re a long-term ETH staker? Or a real DeFi user? Or someone who’s actually active across chains? You can do that now without
For years, devs avoided anything that required heavy computation. Not because they didn’t want richer mechanics but because blockchains simply couldn’t afford it. What’s happening now with Brevis is the flip: Teams are starting to design features that assume off-chain ZK compute
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