Ritual emerges from stealth, born from our conviction that AI will completely change how
crypto products are used. Our initial architecture outlines a sovereign execution layer purpose-built for AI compute, pioneering a modular precompile and node specialization architecture.Since then, every chain has converged to ~nearly the same design we pioneered.
We publish 
v0.1.0 of Infernet, the first decentralized oracle network (DON) purpose-built for AI workloads, which can be integrated into any EVM smart contract in under 10 lines of code.Today, Infernet is the most popular AI DON backed by 9,000+ nodes around
the world, used by tens of thousands of users daily, with over 10 million
transactions on Base alone.We build Frenrug, the first on-chain AI agent,
controlled by a combination of LLM and Classical ML models, powered by
Infernet, managing >$30,000 on
Base.We are the first to combine text-based transformer models with action-based
classifier models to execute on-chain actions. Frenrug
informs our design for what Agents should look like.
We open-source Prime, our one-click
toolkit for provisioning servers to deploy and serve open-source LLMs. Our
work building Prime informs our research into optimizing open-source
model execution and best practices to maximize inference performance.
GitHub: ritual-net/prime
One-click toolkit for provisioning servers to deploy and serve Large Language Models.
We come to the conclusion that specialized use cases demand specialized
cryptographic gadgets, not general-purpose ones. We begin working on a suite of
primitives across provenance, privacy, and computational integrity to give users
full flexibility of choice.These eventually materialize into our suite of
modular computational integrity gadgets
and
verifiable provenance primitives.Ritual is the only blockchain architecturally flexible enough to let
applications choose the primitives that best fit their use case. All other
chains must take a one-size-fits-all approach.
We open-source infernet-ml, the first-of-its-kind framework to deploy ML-enabled dApps on-chain. This gives us applied insight into how developers build novel AI experiences, informing our developer experience decisions when building Ritual Chain.Developers use infernet-ml to bring ONNX & Torch models on-chain, use Stable
Diffusion to mint NFTs from prompts, and connect their smart contracts to LLMs.
We publish Ritual Learn, introducing a crypto
audience to the underpinnings behind ML, with hands-on guides to building
dApps on Ritual.
Our video walk-through tutorials are especially popular.
Infernet reaches
v1.0.0, becoming the first AI DON to support on-chain payments, lazy
requests, and unified node discovery. Infernet also becomes the first AI compute mesh to undergo holistic audits;
Trail of Bits
and
Zellic
find no critical issues.We announce Altar, our full-stack program to support ambitious protocols building on Ritual.Initial applications include
Anima: Multi-agent transaction framework,
Opus: Memecoins meet AI,
Relic: ML-enabled AMM,
and
Tithe: ML-enabled lending.
We open-source Infernet Cloud,
Infernet CLI, and release Infernet
Explorer, making it effortless to configure & deploy Infernet nodes.
Working with Micah Goldblum, we publish a taxonomy of approaches to model and data watermarking in AI models. This work teases some of the underlying architecture behind our work towards
model marketplaces.
Model and Data Watermarking
A review of watermarking in AI models.
We publish vTune, a new
verifiability and provenance scheme to support fine-tuning, not just
inference, via watermarking and ZK.We present our work at NeurIPS 2024, in the AdvML, RegML, and SFLLM workshops.
vTune: Verifiable Fine-Tuning for LLMs Through Backdooring
vTune uses a small number of backdoor data points added to the training data to provide a statistical test for verifying that a provider fine-tuned a custom model on a particular user’s dataset.
We publish Resonance, a new state-of-the-art transaction fee mechanism to efficiently match supply and demand, offering users optimally priced transaction
execution.Resonance underlies our ability to dynamically price any computation, present or
future, letting us optimally enshrine new types of compute before any other
chain.
What's new?: Resonance
Resonance is a state-of-the-art transaction fee mechanism to efficiently match supply and demand, offering users optimally priced
transaction execution.
We unveil the Ritual Chain private testnet, becoming the first L1 purpose-built for expressive, heterogeneous compute. As a part of this, we share our new innovations including EVM++, Symphony, and
our Model Marketplace for the first time.
What is Ritual?
Ritual is the most expressive blockchain in existence, with a single focus: enrich what users can do on-chain today to attract the users of tomorrow.
What's new?: EVM++
EVM++ enables smart contract developers to progressively adopt advanced Ritual Chain functionality, while using the same tooling they already know and love.
Symphony
New consensus protocol with dual proof sharding, attested committees, and
distributed verification.
Model Marketplace
Creating a verifiable marketplace for AI models and Intellectual Property.