ray (raysonsio)

do you know every major tech wave needed a new kind of infrastructure to exist? > uber couldn’t exist without real time gps tiktok blew up because of edge compute chatgpt runs on specialized gpu clusters and now, ai x crypto is heading for its own infrastructure ☇ → the limits of today’s blockchains l1s were built for payments, not intelligence. if you throw ai level compute at them, they choke. > can’t run inference inside the runtime validators can’t handle gpu workloads long running tasks don’t fit the model verification is too rigid for ai ops basically, they’re financial ledgers pretending to be compute platforms. ☇ → the pattern repeats look at history, every wave demanded new rails. transportation → real-time data infra social → low-latency content infra ai → needs a compute-native blockchain the real need is a network where ai can live on-chain. ☇ → you have to enter @ritualnet

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another chain? really? that’s usually the first reaction when people hear about ritual. but the thing is, ritual isn’t competing on speed. it’s rewriting what blockchains can even do let’s break this down ⬎ ✦ ok but… why another blockchain? every big wave in crypto came from a new primitive, not only fast blocks yk → 2009: bitcoin let anyone send money globally without banks → 2015: ethereum brought smart contracts → composable finance since then, most l1s have just been optimizing for throughput, not expanding what’s possible onchain. they scaled the old use cases… but didn’t get new ones ✦ where ritual comes! ritual’s whole thing is: > enrich what users can do onchain today to attract the users of tomorrow it starts with ai × crypto, but it’s really about expressive compute. think of it as the first blockchain built to actually run AI inference, ZK proofs, TEE code, and web2 APIs, natively. >>>> read more below!

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many people don’t realize, blockchains weren’t designed for long-running compute they excel at: ✓ short, atomic transactions ✓ replicated state changes ✓ deterministic replay but when it comes to: ✖ multi-step AI inference ✖ zk proof generation ✖ extended agent logic they break down. gas limits, latency, and validator duplication kill it ritual changes this. its architecture separates consensus from execution, and introduces execution sidecars, purpose-built environments for long-running, stateful compute. that means you can: ➙ run multi-step AI agents directly onchain ➙ outsource zk proofs to specialized nodes ➙ schedule autonomous actions without keepers the result is, developers don’t need workaround infrastructure or off-chain crutches. ritual makes extended computation an integral part of the blockchain so, it’s a chain where contracts can think, wait, and act meaningfully ❖ ritual = the execution layer for the intelligent economy

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privacy at literally transformer speed, why cascade matters ok so here’s the thing… smpc was supposed to make llm prompts private. but the second you actually try to run it on real models? it’s basically unusable yk ok so, wtf is smpc? secure multi-party computation = split your prompt across multiple parties so no single one sees it all. sounds good but in practice: > 1000x slower than standard inference like 2 minutes per token for llama-7b breaks completely on bigger models so yeah… math guarantee, zero practicality ggs so how does cascade change it? ritual built cascade around one key insight: transformers are mostly per-token ops. that means you can shard tokens directly and keep things private without the smpc slowdown. cascade uses: compnodes → handle pre-pass, split query/key/value per token attnnodes → handle attention pass across sharded keys/values post-pass → merge partial results + mlp, still sharded to be continued 👇

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gm @plazafinance

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@MitosisOrg: The Modular Liquidity Protocol ➽ Mitosis is an innovative liquidity protocol tailored for the modular blockchain ecosystem. It aims to enhance cross-chain liquidity and improve capital efficiency. Here’s a deeper look into its core features and benefits. Core Innovations of Mitosis ☸ ➽ Capital Efficiency: Mitosis unlocks the potential of locked cross-chain assets by transforming them into liquid assets. This allows liquidity providers (LPs) to utilize their assets in ways beyond traditional transfer fee revenue sharing. By becoming an LP, users receive a 1:1 derivative token, which can be leveraged across various platforms, including Layer 2 (L2) solutions and Celestia rollups, maximizing asset utility. ➽ Interoperability: The protocol champions permissionless chain integration, facilitating seamless interactions between different modular chains. Mitosis removes the limitations imposed by conventional automated message bridges (AMBs).

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