Let The Ritual Begin. Private Testnet. Today.

RT @0xQTpie: MEV in conventional blockchains forces users to become strategic traders, navigating gas prices and sandwich attacks just to e….

RT @bahrani_maryam: Stoked to share what I’ve been working on for the last year with @n_durvasula at @ritualnet. Resonance -- a new fee mar….

RT @akileshpotti: Resonance is the culmination of 1.5 years of work—the focus for us has always been to enable new behavior for users acros….

RT @n_durvasula: Introducing Resonance: A fee mechanism for a computationally heterogeneous world. Resonance efficiently coordinates payme….

Infinitely expressive blockchains are inevitable. @VitalikButerin multi-dimensional fees are the past. Resonance is the future.

2009: Bitcoin unlocked digital money.2015: Ethereum unlocked programmable money.2020: Solana unlocked quic money.2024: Resonance unlocks [redacted] money.

NFT mint   Uniswap trade  Blob.200K gas   200K gas     plot twist:.1kB stored  0.1kB stored    nobody knows.300 cycles   20,000 cycles   the end. Honestly, you don’t need a diagram to prove we can’t price blobs today. Resonance lets you do that and more:

RT @ritualfnd: ❖ HELLO WORLD ❖. Today, we are excited to announce the launch of the Ritual Foundation. The Foundation is dedicated to adva….

Earlier this year we announced Ritual Altar, a program dedicated to supporting the most ambitious teams building novel protocols combining crypto and AI on Ritual. Today, we’re excited to announce the first batch of Altar companies.

❖ ANIMA ❖. Anima’s goal is two fold: to build performant, crypto-native AI models and to make AI multiplayer. Anima is working on a series of crypto-native models, including Large Action Models (LAMs) optimized for interpreting on-chain data and executing complex.

We’re honored to be working with these ambitious teams building on Ritual. But this is just the beginning; follow @ritualnet to stay tuned for the next batch (coming soon!). Ready to join the Altar yourself? Apply here:

RT @evayzh: Introducing vTune: verification for LLM fine-tuning. Our work explores how to verify fine-tuning from third-party providers wi….

Beyond Inference: vTune. vTune scales our verifiability and provenance schemes to support fine-tuning, not just inference, via watermarking & ZK. Our focus has always been on augmenting user choices across security, cost, and efficiency.

The future of AI verifiability is multi-prover, not single. Over the coming weeks, we’ll present a combination of lazy ZK & OP composed with vTune to strengthen the guarantees above.

@evayzh @ArkaPal999, @akileshpotti @micahgoldblum. @PraveenPsamy, @igorsyl, @LiaoPeiyuan, @ArshanKhanifar, @_anishagnihotri, @sidgreddy, @divyahansg, @steliosrrr, @lucia__zheng, @TensorProduct, @tarunchitra, @nima_vaziri @ilblackdragon, @noamnisan.