Boyngyn246 (✱,✱) | (❖,❖)
350 posts

Boyngyn246 (✱,✱) | (❖,❖)
@boyngyn24
Contributor build: @axisrobotics | @ritualnet "Where will the future lead?"



gRitual ❖❖ This is my daily Ritual routine: Explore search mode on X: "@ritualnet -filter:replies " Best way to discover builders, apps, memes, and active community members early. Try this and send me tks later!






RITUAL CHAIN -TECHNOLOGY OVERVIEW (PART 4) 1. MODULAR COMPUTATIONAL INTEGRITY The core challenge when bringing AI onchain is ensuring that the model ran correctly, was not tampered with, and was not swapped for a different model. ✅And that is the inspiration behind @ritualnet 's support for multiple distinct verification methods simultaneously: ❖ Zero-Knowledge Machine Learning (zkML): Provides mathematical proofs of the computation. ❖ TEE Attestations: Delivers hardware-level trust. ❖ Optimistic ML: Follows a model similar to optimistic rollups (like Ethereum L2s — Arbitrum, Optimism). ❖ Probabilistic Proof Machine Learning: For cases where a full proof is not needed. All methods are supported natively and agnostically, meaning developers can choose the approach that best fits their specific use case. ✅Real-world analogies: ❖ TEE → Trusted employee working inside a secure company office. ❖ ZK → Notarized document with an official government seal. ❖ Optimistic → Unsecured loan (based on trust, with challenge period). ❖ Probabilistic → No need for full proof; accept a certain probability, even “blind bag” / lottery-style verification. => Covers all scenarios, ranging from guaranteed items to "blind bag" secrets. 2. VERIFIABLE PROVENANCE & vTUNE One of the biggest problems in AI today is that no one can be sure whether the running model is the original one, and model creators have no reliable way to prove ownership or collect fees when others use their models. Ritual solves this with Verifiable Provenance: a set of primitives that allow model creators to cryptographically prove ownership of their models even in a fully open, “wild” environment. The first mechanism built on top of these primitives is vTune. It enables precise attribution tracking for both model creators and data providers. This unlocks the creation of a true onchain model marketplace where models can be bought, sold, and borrowed with verifiable proof of origin and usage. In simple terms “Whose model is this, and who should get paid?” For buyers -buy directly from the rightful owner For creators-receive fair compensation for their work and intellectual property. Most importantly It eliminates the need for trusted third parties. @dunken9718 @Jez_Cryptoz @0xMadScientist @SaintLee04 @ericgudboy


gRitual 💚 Good Morning Ritual Family 💚 Happy Sunday and Happy Mother’s Day! Thank you to all the amazing mothers who fill our lives with love and strength. May your day be filled with joy and beautiful Ritual. @ritualnet @joshsimenhoff @Jez_Cryptoz







Just built a free community tool for Axis Hub contributors.
AxisScan 🔍 axisscan.vercel.app
No wallet connection required.
Paste your Base wallet and instantly see:
1⃣Total trajectories,
2⃣How many are signed on-chain vs
3⃣Pending task
4⃣Average score
5⃣Quality breakdown (Perfect / Excellent / Good)
It also tracks your activity streak 🔥every day you submit a trajectory counts, not just signed ones. You get your current streak, longest streak ever, and a full 6-month heatmap of your activity (think GitHub contribution graph but for Axis).
There's also a shareable card one click copies a clean 1200×630 PNG with all your stats, rank, streak and heatmap. Perfect for flexing 😏
Indonesian Community check this directly on Telegram using
/address


Moring ☀️ Target 1 ngày + 200 new followers được không anh em? Qua đến nay anh em build X nhiệt tình quá, nay phải hoạt động hết công suất mới được :D


Ritual testnet is now live. The first chain where an agent's existence doesn't end when its creators do.





I've just delved into Ritualnet's testnet and I'm really impressed. @ritualnet is building the first blockchain dedicated to automated AI agents – a true lab for autointelligence. What's the big idea? Agents don't die when their creators leave. They can hold value, keep secrets, run scheduled tasks, and continue operating on the chain forever. No more "trust me" stuff – everything is verifiable and long-lasting. The testnet launched a few weeks ago and the community has already started to get very active. People are creating Ritual IDs on the chain, creating personal testnet tokens, building Siggy pixel NFTs, and experimenting with asynchronous and scheduled transactions. The atmosphere is exciting but also very relaxed – real builders are putting in the effort, not just people grinding points. You can get testnet tokens from the tap (if you have the right role) and start playing immediately. Having raised $25 million from Polychain, Hack VC, Robot Ventures, and other top names, Ritualnet feels different from the usual hype about AI + blockchain. It's real infrastructure that makes agent autonomy possible at scale. If you're interested in AI agents or just want to get an early look, the test network is live and growing rapidly. I've spent time testing it every day, and the building energy is really strong. Who else wants to join? Share your Ritual ID or favorite dApp you've tried 🔥 @ritualfnd @ritualnet @joshsimenhoff @Jez_Cryptoz @0xMadScientist @dunken9718 @ericgudboy






Noticed that object descriptions and reference images sometimes don't perfectly match the actual assets spawned in a task? This is because we’ve rolled out in-task randomization to increase data diversity and improve model generalization. The actual assets may vary, but the task goal always remains the same. Please focus on the task goal rather than the specific assets. Rich scenarios, diverse combinations of atomic skills, and extensive in-task randomization build the diversity of our data.





