Renzoo

67 posts

Renzoo

Renzoo

@nahrenzoo

vibing on @ritualnet

Katılım Temmuz 2026
45 Takip Edilen39 Takipçiler
Samir ~
Samir ~@SamirAhame96036·
Meet @0xploplo, the AI companion built on @ritualnet PloPlo isn't just another NFT project. It's an ET-Friend from Imagineer Planet with a persistent onchain identity, memory that evolves over time and a future physical companion device to go with it. Ritual is the real infrastructure behind it, a sovereign L1 built for autonomous AI agents with $25M raised from top VCs including Polychain and Accel. PloPlo is their ecosystem's identity layer brought to life. ET-Friends-001 Genesis NFT: ❖ Supply: 5,555 ❖ Price: 0.1 ETH ❖ Mint date: July 22, 2026 ❖ Each NFT tied to a future physical PloPlo device Not just a cute face. This is what persistent AI identity looks like onchain. #PloPlo #Ritual
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FYD||BULLISH (ALL IN RITUAL)
Post no:158 for @ritualfnd and @ritualnet Hola and gritual to everyone who's connected to ritual, continuing my artwork series for ritual with Ritualians and ritualists, now it's @synedclover with @coffeedegen and @joshsimenhoff Pioneers are pioneers, no one can make pioneers weak, I hope that ritual will respect pioneers, let's gooooooo
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FYD||BULLISH (ALL IN RITUAL)@fydbullish

Post no:157 Gritual @ritualfnd and @ritualnet Continuing my series of artworks with Ritualians and ritualists, now it's @Cripson01 with @Faizan626371 and @joshsimenhoff Rate the work and thanks to everyone who's with me and supporting me in every condition,huge love to you guys, we'll keep building together famm.

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Renzoo
Renzoo@nahrenzoo·
gm. If Ethereum became the home of smart contracts, Ritual is becoming the home of AI. where intelligent applications, agents, and models can execute in a decentralized, verifiable, and programmable way. @Jez_Cryptoz @joshsimenhoff
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Renzoo
Renzoo@nahrenzoo·
why do most blockchains struggle with ai? it’s not because ai is too advanced. it’s because blockchains were never designed to run it. ai workloads like llms and gpu-heavy inference don’t fit traditional blockchain environments. runtimes like the evm can’t handle floating-point operations, large memory requirements, or non-deterministic computation. validators also run on uniform cpu hardware, not gpus. there’s another problem. ai works concurrently, while blockchains execute transactions synchronously. that mismatch creates latency and workflow bottlenecks. so what happens today? most applications rely on centralized ai APIs. that brings trust assumptions back into the system, which defeats the purpose of building decentralized applications. this is where ritual comes in. @ritualnet is decentralized ai compute infrastructure where models run privately, verifiably, and efficiently across distributed hardware. it’s built around two core components: infernet and ritual chain. infernet infernet is a decentralized network of gpu and tee nodes that execute ai inference and send cryptographically verifiable outputs to smart contracts. developers submit inference requests through a unified api. nodes run the model, generate proofs of integrity, and smart contracts verify the result on-chain. privacy is built in. techniques like smpc and cascade token sharding protect both user data and model weights, making trustless ai calls available to any smart contract. ritual chain ritual chain is an ai-native layer 1 built specifically for ai computation. it supports heterogeneous validator roles, including gpu nodes, tee nodes, and zk proof nodes. transactions execute asynchronously, so ai workflows don’t block the rest of the network. smart contracts can also make native http calls for secure external data access. under the hood, the chain supports distributed execution of large models and uses a multi-prover architecture with optimistic execution and zk verification. what does that make possible? in defi, ai can power dynamic lending, credit scoring, and autonomous agents. in gaming, it enables on-chain npc behavior and procedural content. social protocols can build verifiable recommendation engines. daos can coordinate multi-agent governance and task automation. and privacy-sensitive applications can use blind inference to protect sensitive data. the biggest challenge isn’t putting ai on-chain. it’s building infrastructure that was designed for ai from the start. @Jez_Cryptoz @joshsimenhoff @0xMadScientist
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Renzoo
Renzoo@nahrenzoo·
@detonzi we keep showing up everyday
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NOB (❖,❖)
NOB (❖,❖)@Nobleg_6·
It’s game time, guys! We played Codenames in the @raikucom server tonight, and Blue Team came out on top in both rounds. 💙 It was my first time playing codenames, but I got the hang of it pretty quickly. Looking forward to the next game next week. gRaiku.
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Renzoo
Renzoo@nahrenzoo·
risk doesn’t wait. most defi protocols set parameters like liquidation thresholds ahead of time, and those values stay unchanged until someone updates them. the problem? markets can move in seconds while the protocol is still using stale values. ritual solves this. with native onnx inference, smart contracts can run an ai model during transaction execution. so instead of relying on old parameters, the contract can react to current market conditions and settle everything in the same transaction. most blockchains execute predefined logic. ritual executes logic informed by ai, exactly when the transaction happens. @Jez_Cryptoz @joshsimenhoff @0xMadScientist
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James557 (❖,❖)
James557 (❖,❖)@JamesJa43782392·
From Static Rules to Real Time Intelligence: How Ritual Makes On-Chain Trading Smarter 🧵 Traditional DeFi markets move at block speed, but risk management often moves at human speed. Let's dive into it 👇 @ritualfnd
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James557 (❖,❖)@JamesJa43782392

@ritualfnd x oracast markets: Real Time Market Intelligence for On-Chain AI AI trading agents are only as good as the data they receive. That’s where oracast markets comes in, delivering real time price, volume, volatility data designed for autonomous on-chain decision making👇

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MARNI 🌿(❖,❖)
MARNI 🌿(❖,❖)@MARNI_069·
an autonomous economy isn't one where humans disappear. it's one where human attention becomes the scarcest resource and autonomous systems protect it.
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DKxWeb3
DKxWeb3@xoolman69·
Let's talk about why modular design matters. a lot of people assume bigger systems are always better. but in engineering... adding more features into one giant system usually makes it harder to upgrade, maintain, and scale. that's why i found @ritualnet 's approach interesting. instead of building one massive AI stack, they're building infrastructure around modular components that can work together. need one feature? use one module. need more? combine them. it's a simple idea, but modular infrastructure often gives builders more flexibility than trying to solve everything in one place. sometimes the best systems aren't the biggest... they're the ones built from small pieces that fit together well. ⛧💚
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DKxWeb3@xoolman69

Everyone talks about making AI more powerful. But what if the bigger challenge isn't intelligence... it's trust? How do you know who trained a model? How do you prove where it came from? How can an AI own assets or make decisions without relying on a human? That's what I find interesting about @ritualnet Instead of only focusing on smarter AI, Ritual is building the infrastructure for AI that's verifiable, autonomous, and economically independent. Because in the future, AI won't just generate answers... it'll own wallets, verify its own work, and participate in the economy onchain. That's a much bigger shift than most people realize. ⛧💚

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alfadanil (❖,❖)
alfadanil (❖,❖)@ALFACREATIVE33·
Ritual is not magic It is a revolution. Ritual achieves what others can't Oracast-markets is a price, volume, and volatility API your agents can actually consume. Built for: • Trading agents • Portfolio bots • Market-condition-aware on-chain logic Your agent reads the market. Ritual runs the decision. That's the stack: oracast-markets as the data layer, Ritual as the inference layer. Verifiable by default. It’s strange that you’re not with us yet, isn’t it? @ritualfnd
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Ares (❖,❖)
Ares (❖,❖)@0xArees·
The best part of being early is not just watching the ecosystem grow. It's growing alongside the people building it. Excited for another Initiates Townhall. Let's raise the flag together. 🏳️ @Initiatenft_ @El__khalil @Softieeexx
initiates@Initiatenft_

It's time for another Initiates weekly townhall 🗓️ Saturday ⏰ 2:00 PM UTC 🎙️ Hosted by @El__khalil & the INITIATES Team Special Guest This week, we'll be joined by @Pdbullbear one of the top voices in the Ritual ecosystem He's stopping by to hang out with the INITIATES community, chat about Ritual, share insights, and spend some time with us. If you've ever wanted to hear from PD or ask him a question, this is the perfect opportunity As always, we'll also be covering community updates, ecosystem discussions, upcoming plans, giveaways and more Come through, bring your questions if you have any, and let's have a great session together See you in the sanctum Initiate accordingly!

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Renzoo retweetledi
Renzoo
Renzoo@nahrenzoo·
this week’s @ritualdigest edition covered four interesting ideas. 1. ai that learns faster instead of waiting for a batch of results before learning, this new training method lets the model learn from each result as soon as it’s ready. the outcome? more stable training, better reasoning, and stronger performance on coding and math tasks. 2. using ai to evaluate ai what if ai could review another ai’s work? this paper shows it can score coding, robotics, and even medical reasoning without needing task-specific training. that could reduce the need for constant human feedback during training. 3. can ai come up with original research? researchers asked humans and ai to generate new ideas for scientific papers. the ai produced solid ideas, but they mostly built on existing work. humans were still better at making unexpected leaps and looking at problems in completely new ways. 4. testing ai with real mathematical reasoning most benchmarks only care about the final answer. this one asks ai to write proofs, verify them, and explain mistakes. today’s models are much better at recognizing correct proofs than spotting flawed ones. the bigger picture? ai is getting better at learning, evaluating, reasoning, and even helping with research. and that’s exactly why ritual digest keeps tracking these papers. if ai is moving this fast, it’s worth knowing where it’s headed. @Jez_Cryptoz @joshsimenhoff @0xMadScientist
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Ritual Digest@ritualdigest

Here’s this week’s Ritual Research Digest, a newsletter covering the latest in the world of LLMs and the intersection of Crypto x AI. With hundreds of papers published weekly, staying current with the latest is impossible. We do the reading so you don’t have to.

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Tanjiro (❖,❖)
Tanjiro (❖,❖)@Tanjiro3060·
Markets move at block speed. Risk shouldn't move at human speed. Most protocols rely on parameters that were set earlier, even while the market keeps changing every block. That delay can matter. With Ritual, ONNX inference is native to the chain, so smart contracts can compute at execution time, within the same call frame as the trade. No stale values. No waiting for updates. Just real-time intelligence exactly when it's needed. Put together this infographic to explain why native AI inference is such a powerful unlock for onchain applications. @ritualnet @ritualfnd
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Ritual Foundation@ritualfnd

Risk moves at human speed while markets move at block speed... A problem when teams set your DEX parameters & users trade on the stale values in between. On Ritual ONNX inference is native to the chain so the contract can compute at execution, the same call frame as the trade.

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