TenTen | Ritual (❖,❖)

Intern/artist: @pipeline_xyz | @monad | Underrated Artist | Soon ritualist in @ritualfnd #MyRitualChain

[TenTen | Ritual (❖,❖) @reyyym_m]

Ritual is a blockchain platform (specifically a layer-1 chain called Ritual Chain) built at the intersection of crypto / web3 and artificial intelligence. Here's a breakdown of what the phrase actually means, based on how the project describes itself:

Key parts explained
Thread 🧵 1/1

[TenTen | Ritual (❖,❖) @reyyym_m]

@_QtyJ Happy monday po

[TenTen | Ritual (❖,❖) @reyyym_m]

@rajlol01 @ritualnet @ritualfnd @joshsimenhoff @Jez_Cryptoz @0xMadScientist Gritual ser! I love you haha

[TenTen | Ritual (❖,❖) @reyyym_m]

@MallyBhullar @ritualnet @ritualcommunity @Jez_Cryptoz @0xMadScientist @0xmisau @abracadabra_27 @Anna272493 @hamiweb3 Gritual mally

[TenTen | Ritual (❖,❖) @reyyym_m]

@monad @moe_xyzzz Gmonad

[Zygfrid🌎 @ZygfridS]

That little green box is our community @AlphaIntelMedia.

[TenTen | Ritual (❖,❖) @reyyym_m]

@LaunchMyNFT Wen?

[Jez ritual/acc (❖,❖) @Jez_Cryptoz]

Ritual = Fairness
Vote for your Community
Vote for your Region
Vote for Your Friend

[TenTen | Ritual (❖,❖) @reyyym_m]

@ZygfridS Possible retest after hitting the first fvg on the impulsive price

[TenTen | Ritual (❖,❖) @reyyym_m]

Gritual

[TenTen | Ritual (❖,❖) @reyyym_m]

@mikeinweb Gmonad mike🫡

[TenTen | Ritual (❖,❖) @reyyym_m]

@monad Gmonad💜

[TenTen | Ritual (❖,❖) @reyyym_m]

@monotonelabs Follow the darkness

[TenTen | Ritual (❖,❖) @reyyym_m]

Happy hearts day to all💜💚❤️

Gritual to the community 🧙🫡

[Monad @monad]

In under 2 days, 168 teams applied to join Nitro Accelerator.

[TenTen | Ritual (❖,❖) @reyyym_m]

@blench Still gblench🀄️

[TenTen | Ritual (❖,❖) @reyyym_m]

@keoneHD Gmonad keone💜

[TenTen | Ritual (❖,❖) @reyyym_m]

@0xhammadx @ritualnet @preshynode @orji_marcellus @ritualfnd Congrats my bro🫡 from dunce into ritty butty🤣

[TenTen | Ritual (❖,❖) @reyyym_m]

@lambezii @ritualnet @ritualfnd @Jez_Cryptoz @0xMadScientist @dunken9718 Yah bro rooting for you

[TenTen | Ritual (❖,❖) @reyyym_m]

How does Ritual handle micropayments for frequent, low-cost AI inferences (e.g., thousands of small model calls per minute) to keep transaction costs reasonable?

Ritual, as a decentralized AI infrastructure network (with its Infernet oracle system and upcoming Ritual Chain sovereign execution layer), addresses the challenge of micropayments and low-cost, high-frequency AI inferences through a combination of protocol design choices optimized for efficiency, market-driven pricing, and crypto-native payment mechanics.

Key mechanisms include:

- Offchain computation with onchain settlement/verification—
Most actual AI inference (especially small, frequent model calls) happens **offchain** via distributed Infernet nodes or specialized compute providers. Only the request, proof/verification (when needed, e.g. via ZK or other integrity guarantees), and payment settlement occur onchain. This avoids executing expensive compute directly on the blockchain, drastically reducing per-inference gas costs compared to forcing everything onchain.

- Resonance transaction fee mechanism —
Ritual uses a state-of-the-art, surplus-maximizing fee market (called Resonance) designed specifically for heterogeneous workloads like AI inference. It dynamically matches supply (compute nodes) and demand via market-driven pricing rather than fixed gas prices. This enables efficient, low-cost execution for high-volume, low-value tasks by allowing prices to reflect real resource usage and network conditions, preventing overpayment during bursts of small calls.

- Native support for micropayments and programmatic payments —
Ritual explicitly lists micropayments as one of the core properties it enables for developers (alongside provenance, privacy, agents, etc.). Crypto's ability to handle small-value transfers natively (in ETH or the network's token) supports paying per inference without prohibitive fees. For frequent calls (e.g., thousands per minute), applications can batch requests, use recurring/scheduled execution (Ritual has native scheduling without external keepers to cut overhead), or leverage account abstraction-style patterns to aggregate many small payments into fewer onchain settlements.

- On-chain payment system in Infernet —
Infernet includes an on-chain payment layer where developers register wallets and pay nodes directly for compute in a trust-minimized way. Node operators are compensated based on work done, incentivizing a competitive supply of low-cost inference capacity.

- Modular architecture for scale —
By specializing nodes (e.g., for cheap/fast inference vs. heavy ZK proving), partnering with modular data availability layers (like Celestia for lower fees), and abstracting complexity via SDKs/APIs, Ritual keeps individual small inference costs reasonable even at high throughput. This contrasts with traditional centralized APIs (high marginal cost at scale) or naive onchain approaches (gas explosion).

In short, Ritual doesn't rely on pure onchain micropayments for every tiny call (which would still be expensive on most chains). Instead, it minimizes onchain footprint, uses optimized fee markets, and leverages crypto's strengths in programmable low-value transfers to make high-frequency, low-cost AI inference economically viable for agents, dApps, and automated systems.

For the most current technical details (as Ritual continues evolving from Infernet toward full Ritual Chain), check their docs at https://t.co/mcPl9eaeaE or https://t.co/moJuKf6r9k, especially sections on Resonance, Infernet payments, and the execution layer design.

Gritual🧪

[TenTen | Ritual (❖,❖) @reyyym_m]

@AbrahamJT9 @ritualnet @0xMadScientist @Jez_Cryptoz @dunken9718 @Majorproject5 Lets go!