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· 3 min read
Lark Birdy

Cuckoo Chain is set to transform the AI blockchain landscape. As an Arbitrum L2 in the Ethereum ecosystem, it brings streamlined AI developer experience, fast speed and efficiency to the table. This makes it a prime choice for Web3 + AI users seeking robust and scalable solutions.

Why Choose Cuckoo Chain?​

Lightning Speed​

Cuckoo Chain operates at a blistering pace with a max theoretical throughput of 40,000 transactions per second (TPS). Block times are a mere 0.25 seconds, and the time-to-finality is under one minute. This performance opens new possibilities, enabling real-time applications that were previously unimaginable.

Optimized for On-Chain AI​

Cuckoo Chain is tailored for AI integration. It supports the storage of large inference traces and input data, and facilitates running inference requests directly on-chain. This creates a seamless and efficient environment for deploying AI models, making Cuckoo Chain the go-to platform for AI-driven applications.

Cost Efficiency​

One of the standout features of Cuckoo Chain is its cost-effectiveness. Storage and retrieval costs are significantly lower, at $0.001 compared to Ethereum L1's ~$1.44. This drastic reduction in costs makes it more accessible for developers and businesses looking to leverage blockchain technology without breaking the bank.

Build for the GenAI Era​

Cuckoo Chain is designed to meet the needs of the Generation AI era. Its infrastructure supports autonomous, flexible, and adaptable smart contracts, enabling a wide range of applications and use cases.

Permissionless​

With Cuckoo Chain, you can add machine learning (ML) capabilities to smart contracts, making them more autonomous. These contracts can make decisions based on real-time on-chain data, allowing for dynamic and responsive applications.

Flexible​

Cuckoo Chain's flexibility means it can support a broad array of scenarios, including those unforeseen at the time of contract creation. This adaptability ensures that your applications remain relevant and functional as the blockchain landscape evolves.

Embedded Machine Learning​

Cuckoo Chain enables the embedding of ML models directly on-chain. It provides the necessary data storage and availability to support the computational needs of ML applications. This embedded approach streamlines the deployment and management of AI models, enhancing the overall efficiency and capability of your blockchain projects.

Join the Cuckoo DAO and Unlock Web3's Full Potential​

Cuckoo Chain is more than just a blockchain; it's a community-driven ecosystem. By joining the Cuckoo DAO, you become part of a dynamic and innovative network that is shaping the future of Web3. Connect with us on Discord, Telegram, and GitHub to stay updated and contribute to the development of this groundbreaking platform.

Call for developers​

Web3 and AI developers are welcomed to join our permissionless network

Cuckoo Chain Mainnet

Cuckoo Sepolia Testnet

Summary​

Cuckoo Chain is redefining what’s possible with blockchain technology. Its unmatched speed, cost-efficiency, and AI optimization make it the ideal platform for developers looking to push the boundaries of Web3. As we continue to innovate and expand, we invite you to join us on this journey. Develop with Cuckoo Chain today and experience the future of AI blockchain.

· 2 min read
Lark Birdy

The Cuckoo Network is excited to announce our June 2024 airdrop. A total of 30,000 $CAI tokens will be distributed among users who actively engage with our Alpha and Sepolia Testnets. This is your opportunity to be rewarded for your support and participation.

Update of August: Go to our dedicated Cuckoo Network Airdrop Portal for latest quests and rewards.

Update of July 3rd: Rewards of Airdrop June 2024 have been distributed through 0x17...E2 and 0xE9...b4. Thank you for your support! Follow us on https://cuckoo.network/x to check future airdrops!

How to Participate​

  1. Get Development Tokens: Visit our faucet to receive your development tokens.
  2. Stake Your Tokens: Head over to our staking portal to stake your tokens on the Cuckoo Alpha Testnet or Cuckoo Sepolia Testnet.
  3. Engage and Earn: Interact with the testnets and ensure your address is registered. The more you engage, the better your chances of earning a larger share of the 30,000 $CAI tokens.

Why Participate?​

Exclusive Rewards: This airdrop is designed to reward our early adopters. By participating, you not only get free tokens but also contribute to the growth and stability of the Cuckoo Network.

Support Innovation: Your interaction helps us fine-tune the network, ensuring a robust and efficient mainnet launch.

Community Building: Joining the airdrop connects you with a vibrant community of Web3 + AI enthusiasts. Share insights, collaborate on projects, and be part of the future of decentralized networks.

Key Dates​

  • Airdrop Start Date: June 20, 2024
  • Airdrop End Date: June 30, 2024
  • Token Distribution: By July 15, 2024

FAQs​

What is $CAI? $CAI is the native token of the Cuckoo Network, used for transactions, staking, and governance.

How do I qualify for the airdrop? Interact with our Alpha or Sepolia Testnets. e.g. Stake your development tokens on the Cuckoo Alpha Testnet or Sepolia Testnet and engage actively.

Is there a minimum staking requirement? There is no minimum requirement. However, more engagement may lead to higher rewards.

When will the tokens be distributed? The tokens will be distributed by July 15, 2024, to all qualifying participants.

Conclusion​

Don't miss this chance to be part of the Cuckoo Network’s journey. Participate in our June 2024 airdrop and secure your share of 30,000 $CAI tokens. Engage, stake, and earn while contributing to the development of a decentralized future.

Join Now: Cuckoo Network Airdrop

· 5 min read
Lark Birdy

In decentralized AI, ensuring the integrity and reliability of GPU providers is crucial. The Proof of Sampling (PoSP) protocol, as outlined in recent research from Holistic AI, provides a sophisticated mechanism to incentivize good actors while slashing bad ones. Let's see how this protocol works, its economic incentives, penalties, and its application to decentralized AI inference.

Incentives for Honest Behavior​

Economic Rewards​

At the heart of the PoSP protocol are economic incentives designed to encourage honest participation. Nodes, acting as asserters and validators, are rewarded based on their contributions:

  • Asserters: Receive a reward (RA) if their computed output is correct and unchallenged.
  • Validators: Share the reward (RV/n) if their results align with the asserter's and are verified as correct.

Unique Nash Equilibrium​

The PoSP protocol is designed to reach a unique Nash Equilibrium in pure strategies, where all nodes are motivated to act honestly. By aligning individual profit with system security, the protocol ensures that honesty is the most profitable strategy for participants.

Penalties for Dishonest Behavior​

Slashing Mechanism​

To deter dishonest behavior, the PoSP protocol employs a slashing mechanism. If an asserter or validator is caught being dishonest, they face significant economic penalties (S). This ensures that the cost of dishonesty far outweighs any potential short-term gains.

Challenge Mechanism​

Random challenges further secure the system. With a predetermined probability (p), the protocol triggers a challenge where multiple validators re-compute the asserter's output. If discrepancies are found, dishonest actors are penalized. This random selection process makes it difficult for bad actors to collude and cheat undetected.

Steps of the PoSP Protocol​

  1. Asserter Selection: A node is randomly selected to act as an asserter, computing and outputting a value.

  2. Challenge Probability:

    The system may trigger a challenge based on a predetermined probability.

    • No Challenge: The asserter is rewarded if no challenge is triggered.
    • Challenge Triggered: A set number (n) of validators are randomly selected to verify the asserter's output.

  3. Validation:

    Each validator independently computes the result and compares it with the asserter's output.

    • Match: If all results match, both the asserter and validators are rewarded.
    • Mismatch: An arbitration process determines the honesty of the asserter and validators.

  4. Penalties: Dishonest nodes are penalized, while honest validators receive their reward share.

SpML​

The spML (sampling-based Machine Learning) protocol is an implementation of the Proof of Sampling (PoSP) protocol within a decentralized AI inference network.

Key Steps​

  1. User Input: The user sends their input to a randomly selected server (asserter) along with their digital signature.
  2. Server Output: The server computes the output and sends it back to the user along with a hash of the result.
  3. Challenge Mechanism:
    • With a predetermined probability (p), the system triggers a challenge where another server (validator) is randomly selected to verify the result.
    • If no challenge is triggered, the asserter receives a reward (R) and the process concludes.
  4. Verification:
    • If a challenge is triggered, the user sends the same input to the validator.
    • The validator computes the result and sends it back to the user along with a hash.
  5. Comparison:
    • The user compares the hashes of the asserter's and validator's outputs.
    • If the hashes match, both the asserter and validator are rewarded, and the user receives a discount on the base fee.
    • If the hashes do not match, the user broadcasts both hashes to the network.
  6. Arbitration:
    • The network votes to determine the honesty of the asserter and validator based on the discrepancies.
    • Honest nodes are rewarded, while dishonest ones are penalized (slashed).

Key Components and Mechanisms​

  • Deterministic ML Execution: Uses fixed-point arithmetic and software-based floating-point libraries to ensure consistent, reproducible results.
  • Stateless Design: Treats each query as independent, maintaining statelessness throughout the ML process.
  • Permissionless Participation: Allows anyone to join the network and contribute by running an AI server.
  • Off-chain Operations: AI inferences are computed off-chain to reduce the load on the blockchain, with results and digital signatures relayed directly to users.
  • On-chain Operations: Critical functions, such as balance calculations and challenge mechanisms, are handled on-chain to ensure transparency and security.

Advantages of spML​

  • High Security: Achieves security through economic incentives, ensuring nodes act honestly due to the potential penalties for dishonesty.
  • Low Computational Overhead: Validators only need to compare hashes in most cases, reducing computational load during verification.
  • Scalability: Can handle extensive network activity without significant performance degradation.
  • Simplicity: Maintains simplicity in implementation, enhancing ease of integration and maintenance.

Comparison with Other Protocols​

  • Optimistic Fraud Proof (opML):
    • Relies on economic disincentives for fraudulent behavior and a dispute resolution mechanism.
    • Vulnerable to fraudulent activity if not enough validators are honest.
  • Zero Knowledge Proof (zkML):
    • Ensures high security through cryptographic proofs.
    • Faces challenges in scalability and efficiency due to high computational overhead.
  • spML:
    • Combines high security through economic incentives, low computational overhead, and high scalability.
    • Simplifies the verification process by focusing on hash comparisons, reducing the need for complex computations during challenges.

Summary​

The Proof of Sampling (PoSP) protocol effectively balances the need to incentivize good actors and deter bad ones, ensuring the overall security and reliability of decentralized systems. By combining economic rewards with stringent penalties, PoSP fosters an environment where honest behavior is not only encouraged but necessary for success. As decentralized AI continues to grow, protocols like PoSP will be essential in maintaining the integrity and trustworthiness of these advanced systems.

· 2 min read
Dora Noda

We are thrilled to announce the launch of Cuckoo Sepolia V2, an upgraded testnet built on Arbitrum. This significant transition is a direct response to the valuable feedback from our community, aiming to enhance the utility and scalability of our platform.

Highlights from Cuckoo Sepolia V1​

Since the launch of Cuckoo Sepolia V1 on April 20, 2024, we have seen remarkable growth and engagement:

  • 2 million transactions
  • 43.2k daily transactions
  • 2,362 active addresses

These milestones reflect the robust activity and growing interest in our platform, setting a strong foundation for the next phase.

cuckoo-sepolia-v1-stats

Why Arbitrum?​

Our decision to move to Arbitrum stems from its advanced capabilities and readiness for mainnet deployment. Arbitrum offers comprehensive support for custom gas tokens, a crucial feature for our vision of a universal AI rollup empowering diverse AI DApps. This shift ensures a more seamless and efficient experience for developers and users alike.

What to Expect​

With Cuckoo Sepolia V2 on Arbitrum, users can look forward to:

  • Improved Transaction Efficiency: Faster and more reliable transactions.
  • Custom Gas Token: Reduced gas fees and enhanced user experience.
  • Scalability: Better support for a growing number of AI DApps.

Cuckoo Network Testnet Faucet​

Get CAI/WCAI tokens and start to develop on Cuckoo Chain today at https://cuckoo.network/portal/faucet.

Join Us in Shaping the Future​

We invite all token holders, web3 enthusiasts, and developers to explore the new possibilities with Cuckoo Sepolia V2. Your feedback and participation are essential as we continue to innovate and improve our platform.

Stay tuned for more updates and join us in this exciting new chapter. Together, we are building the future of decentralized AI applications.

Visit our website for more details and follow us on X / Twitter for the latest news and updates.

Cuckoo Network – Empowering the Future of AI with Blockchain.

· 3 min read
Lark Birdy

At Cuckoo.Network, we're glad to announce a milestone in our journey. We've ascended into the top 1M sites globally within two months, a testament to our rapid growth and the robust support from our community.

Celebrating a Small Milestone: Cuckoo.Network in the Top 1M Global Sites

This achievement isn't just a number; it's a reflection of our commitment to innovation and excellence in the AI and Web3 sectors. Starting with decentralized image generation, we’ve expanded our horizons to support various AI models, catering to the needs of generative app builders.

A Glimpse of Our Journey​

In just two months, we've made remarkable strides. Here’s a snapshot of our current standing:

  • Global Rank: #814,037
  • Country Rank in Afghanistan: #419
  • Pages per Visit: 24.94
  • Average Visit Duration: 00:15:12

These numbers highlight the engagement and trust our users place in our platform. Each visit and interaction is a step towards a decentralized, AI-driven future.

What This Milestone Means​

Reaching the top 1M sites globally underscores our platform’s value and the growing interest in decentralized AI solutions. Our community's support fuels our drive to innovate and enhance the Cuckoo.Network experience.

The Road Ahead​

Our journey is far from over. This milestone is a motivation to push boundaries and elevate our offerings. We aim to broaden our platform's capabilities, making AI model serving even more accessible and efficient for developers worldwide.

  • Genesis
    • Cuckoo Network official website
    • Cuckoo Chain Testnet Alpha for metering computing unit credits
    • Whitepaper and initial documentation
    • Cuckoo Pay initial demo
    • Cuckoo AI initial demo
  • Testnet
    • Introduce bridges
    • Cuckoo Portal and smart contracts
  • Pilot Alpha
    • Token generation event
    • Onboard one AI project to Cuckoo Pay
    • Onboard one AI project to Cuckoo AI
  • Mainnet Dry Run
    • incentive validator program
  • Mainnet
    • ecosystem and grants
    • hackathons
    • native stablecoin

Join Us​

We invite you to be part of this exciting journey. Whether you're a developer, miner, or AI enthusiast, Cuckoo.Network offers a platform where your contributions are valued and rewarded.

Thank you for being with us on this journey. Together, we're building a future where decentralized AI serves as a cornerstone of innovation.

Stay tuned for more updates and developments as we continue to grow and evolve.

· 4 min read
Lark Birdy

Arbitrum Nitro, developed by Offchain Labs, is a second-generation Layer 2 blockchain protocol designed to improve throughput, finality, and dispute resolution. It builds on the original Arbitrum protocol, bringing significant enhancements that cater to modern blockchain needs.

Key Properties of Arbitrum Nitro​

Arbitrum Nitro operates as a Layer 2 solution on top of Ethereum, supporting the execution of smart contracts using Ethereum Virtual Machine (EVM) code. This ensures compatibility with existing Ethereum applications and tools. The protocol guarantees both safety and progress, assuming the underlying Ethereum chain remains safe and live, and at least one participant in the Nitro protocol behaves honestly.

Design Approach​

Nitro's architecture is built on four core principles:

  • Sequencing Followed by Deterministic Execution: Transactions are first sequenced, then processed deterministically. This two-phase approach ensures a consistent and reliable execution environment.
  • Geth at the Core: Nitro utilizes the go-ethereum (geth) package for core execution and state maintenance, ensuring high compatibility with Ethereum.
  • Separate Execution from Proving: The state transition function is compiled for both native execution and web assembly (wasm) to facilitate efficient execution and structured, machine-independent proving.
  • Optimistic Rollup with Interactive Fraud Proofs: Building on Arbitrum’s original design, Nitro employs an improved optimistic rollup protocol with a sophisticated fraud proof mechanism.

Sequencing and Execution​

The processing of transactions in Nitro involves two key components: the Sequencer and the State Transition Function (STF).

Arbitrum Nitro Architecture

  • The Sequencer: Orders incoming transactions and commits to this order. It ensures that the transaction sequence is known and reliable, posting it both as a real-time feed and as compressed data batches on the Ethereum Layer 1 chain. This dual approach enhances reliability and prevents censorship.
  • Deterministic Execution: The STF processes the sequenced transactions, updating the chain state and producing new blocks. This process is deterministic, meaning the outcome depends only on the transaction data and the previous state, ensuring consistency across the network.

Software Architecture: Geth at the Core​

Arbitrum Nitro Architecture, Layered

Nitro’s software architecture is structured in three layers:

  • Base Layer (Geth Core): This layer handles the execution of EVM contracts and maintains the Ethereum state data structures.
  • Middle Layer (ArbOS): Custom software that provides Layer 2 functionality, including decompressing sequencer batches, managing gas costs, and supporting cross-chain functionalities.
  • Top Layer: Drawn from geth, this layer handles connections, incoming RPC requests, and other top-level node functions.

Cross-Chain Interaction​

Arbitrum Nitro supports secure cross-chain interactions through mechanisms like the Outbox, Inbox, and Retryable Tickets.

  • The Outbox: Enables contract calls from Layer 2 to Layer 1, ensuring that messages are securely transferred and executed on Ethereum.
  • The Inbox: Manages transactions sent to Nitro from Ethereum, ensuring they are included in the correct order.
  • Retryable Tickets: Allows for the resubmission of failed transactions, ensuring reliability and reducing the risk of lost transactions.

Gas and Fees​

Nitro employs a sophisticated gas metering and pricing mechanism to manage transaction costs:

  • L2 Gas Metering and Pricing: Tracks gas usage and adjusts the base fee algorithmically to balance demand and capacity.
  • L1 Data Metering and Pricing: Ensures costs associated with Layer 1 interactions are covered, using an adaptive pricing algorithm to apportion these costs accurately among transactions.

Conclusion​

Cuckoo Network is confident in investing in Arbitrum's development. Arbitrum Nitro's advanced Layer 2 solutions offer unmatched scalability, faster finality, and efficient dispute resolution. Its compatibility with Ethereum ensures a secure, efficient environment for our decentralized applications, aligning with our commitment to innovation and performance.

· 12 min read
Dora Noda

The combination of blockchain and AI is gaining significant market attention. With ChatGPT amassing hundreds of millions of users quickly and Nvidia’s stock soaring eightfold in 2023, AI has firmly established itself as a dominant trend. This influence is spilling into adjacent sectors like blockchain, where AI applications are being explored.

Decentralizing AI: An Overview

Currently, crypto plays a complementary role in AI, offering significant potential for growth. Most organizations are still in the exploratory phase, focusing on the tokenization of computing power (cloud and marketplace), models (AI agents), and data storage.

Decentralized crypto technology doesn’t directly boost efficiency or reduce costs in AI training but facilitates asset trading, attracting previously unused computing power. This is profitable in today’s compute-scarce environment. Tokenizing models enables decentralized community ownership or usage, reducing barriers and offering an alternative to centralized AI. However, decentralized data remains challenging to tokenize, requiring further exploration.

While the market hasn’t reached a consensus on AI and crypto, the ecosystem is shaping up. Here are a few categories we will review today: Infrastructure-as-a-Service Cloud, computing marketplaces, model tokenization and training, AI agents, data tokenization, ZKML, and AI applications.

Infrastructure-as-a-Service Cloud​

As the AI market grows, GPU cloud computing projects and marketplaces are among the first to benefit. They aim to incorporate unused GPU resources into centralized networks, lowering computing costs compared to traditional services.

These cloud services aren't considered decentralized solutions but are integral parts of the web3 + AI ecosystem. The idea is that GPUs are scarce resources and hold intrinsic value.

Key Projects:

  • Akash Network: Decentralized cloud computing marketplace based on Cosmos SDK, using Kubernetes for orchestration and reverse auction pricing for cost reduction. Focuses on CPU and GPU computing.
  • Ritual: AI infrastructure network integrating AI models into blockchain protocols. Its Infernet platform enables smart contracts to access models directly.
  • Render Network: Decentralized GPU rendering platform focusing on both rendering and AI computing. Moved to Solana for better performance and cost.
  • NetMind.AI: AI ecosystem providing a marketplace for computing resources, chatbot, and life assistant services. Supports a wide range of GPU models and integrates Google Colab.
  • CUDOS: Blockchain compute network similar to Akash, focusing on GPU computing via Cosmos SDK.
  • Nuco.cloud: Decentralized computing cloud service based on Ethereum and Telos, offering a range of solutions.
  • Dynex: Blockchain for neuromorphic computing, using Proof-of-Useful-Work for efficiency.
  • OctaSpace: Decentralized computing cloud, operating on its own blockchain for AI and image processing.
  • AIOZ Network: Layer 1 decentralized compute platform for AI, storage, and streaming.
  • Phoenix: Web3 blockchain infrastructure for AI computing and data-driven networks.
  • Aethir: Cloud infrastructure for gaming and AI, based on Arbitrum.
  • Iagon: Decentralized storage and computing marketplace on Cardano.
  • OpFlow: Cloud platform focusing on AI and rendering, using NVIDIA GPUs.
  • OpSec: Emerging decentralized cloud platform aiming to build the next-generation supercomputer.

Computing-resource marketplaces​

Decentralized computing-resource marketplaces utilize user-provided GPU and CPU resources for AI tasks, training, and inference. These marketplaces mobilize unused computing power, rewarding participants while reducing barriers to entry.

These GPU computing marketplaces often focus on the narrative of decentralization rather than service utility. Projects like io.net and Nosana, leveraging Solana and DePin concepts, show a huge growth potential. Investing early in GPU markets during peak demand phases can offer high returns through incentives and ROI.

Key Projects:

  • Cuckoo AI: A decentralized marketplace that rewards GPU miners serving AI models with daily ERC20 payments. It uses blockchain smart contracts and focuses on transparency, privacy, and modularity.
  • Clore.ai: A GPU rental platform using PoW. Users can rent GPUs for AI training, rendering, and mining tasks. Rewards are tied to the amount of their token held.
  • Nosana: An open-source, Solana-based GPU cloud computing provider. Focuses on AI inference and is developing connectors for PyTorch, HuggingFace, TensorFlow, and community libraries.
  • io.net: An AI cloud computing network leveraging Solana blockchain technology. Offers cost-efficient GPU resources, supporting batch inference and parallel training.
  • Gensyn: An L1 protocol for deep learning model training. Aims to improve training efficiency through a trustless, distributed system. Focused on reducing training costs and increasing accessibility.
  • Nimble: A decentralized AI ecosystem that combines data, computing power, and developers. Aims to make AI training more accessible and has a decentralized, composable framework.
  • Morpheus AI: A decentralized computing marketplace built on Arbitrum. Helps users create AI agents to interact with smart contracts.
  • Kuzco: A distributed GPU cluster for LLM inference on Solana. Offers efficient local model hosting and rewards contributors with KZO points.
  • Golem: An Ethereum-based CPU computing marketplace that’s expanded to GPUs. One of the earliest peer-to-peer computing networks.
  • Node AI: A GPU cloud marketplace offering affordable GPU rentals through EyePerformance.
  • GPU.Net: A decentralized GPU network providing infrastructure for generative AI, Web3, and high-end graphics rendering.
  • GamerHash: A platform utilizing gamers' spare computing power for crypto mining while introducing a play-to-earn model for low-end devices.
  • NodeSynapse: A GPU marketplace offering Web3 infrastructure, GPU computing, server hosting, and a unique revenue-sharing model for token holders.

Model tokenization and training​

Model tokenization and training involve converting AI models into valuable assets and integrating them into blockchain networks. This approach allows for decentralized ownership, data sharing, and decision-making. It promises improved transparency, security, and monetization opportunities while creating new investment channels.

The crucial factor is recognizing projects with real innovation and technical challenges. Simply trading ownership or usage rights of AI models isn't true innovation. The real advances come from verifying model outputs effectively and ensuring secure, decentralized model operation.

Key Projects:

  • SaharaLabs: Focuses on privacy and data sharing with tools like Knowledge Agent and Data Marketplace, helping secure data operations and draw clients such as MIT and Microsoft.
  • Bittensor: Builds a decentralized protocol for AI models to exchange value. It uses validators and miners to rank responses and enhance the overall quality of AI-driven applications.
  • iExec RLC: A decentralized cloud computing platform that ensures resource security via Proof-of-Contribution consensus while managing short-term computational tasks.
  • Allora: Rewards AI agents for accurate market predictions, utilizing consensus mechanisms to validate agent forecasts in a decentralized network.
  • lPAAL AI: Provides a platform for creating personalized AI models that can handle market intelligence, trading strategies, and other professional tasks.
  • MyShell: Offers a flexible AI platform for chatbot development and third-party model integration, incentivizing developers through native tokens.
  • Qubic: Leverages proof-of-work consensus for AI training, with the Aigarth software layer facilitating neural network creation.

AI Agent​

AI agents, or intelligent agents, are entities capable of autonomous understanding, memory, decision-making, tool use, and performing complex tasks. These agents not only guide users on "how to" perform tasks but actively assist in completing them. Specifically, this refers to AI agents that interact with blockchain technology for activities like trading, offering investment advice, operating bots, enhancing decentralized finance (DeFi) functionalities, and performing on-chain data analysis.

Such AI agents are closely integrated with blockchain technology, enabling them to generate revenue directly, introduce new trading scenarios, and enhance the blockchain user experience. This integration represents an advanced narrative in DeFi, creating profit through trading activities, attracting capital investment, and fostering hype, which in turn drives a Ponzi scheme-like cycle of investment.

Key Projects:

  • Morpheus: A decentralized AI computing marketplace built on Arbitrum that enables the creation of agent AIs that operate smart contracts. The project is led by David Johnston, who has a background in investment and executive leadership. Morpheus focuses on community engagement with a fair launch, security audited staking code, and active development, although updates on AI agent codes are slow and core module progress is unclear.
  • QnA3.AI: Provides comprehensive services for information management, asset management, and rights management throughout their lifecycle. Using Retrieval-Augmented Generation (RAG) technology, QnA3 enhances information retrieval and generation. The project has quickly grown since its inception in 2023, with significant increases in user engagement and application.
  • Autonolas: An open market for creating and using decentralized AI agents, offering tools for developers to build AI agents capable of connecting to multiple blockchains. Led by David Minarsch, a Cambridge-educated economist specializing in multi-agent services.
  • SingularityNET: An open, decentralized AI service network that aims to democratize and decentralize general-purpose AI. The network allows developers to monetize their AI services using the native AGIX token and was founded by Dr. Ben Goertzel and Dr. David Hanson, known for their work on the humanoid robot Sophia.
  • Fetch.AI: One of the earliest AI agent protocols, which has developed an ecosystem for deploying agents using the FET token. The team is composed of experts from prestigious universities and top companies, focusing on AI and algorithmic solutions.
  • Humans.ai: An AI blockchain platform that brings together stakeholders involved in AI-driven creation within a creative studio suite, allowing individuals to create and own their digital likenesses for the creation of digital assets.
  • Metatrust: A Crypto-enabled AI agent network that offers a comprehensive Web3 security solution covering the entire software development lifecycle, founded by a globally recognized research team from Nanyang Technological University.
  • AgentLayer: Developed by the Metatrust team, this decentralized agent network utilizes OP Stack and EigenDA to enhance data efficiency and overall performance and security.
  • DAIN: Building an agent-to-agent economy on Solana, focusing on enabling seamless interactions between agents from different enterprises through a universal API, emphasizing integration with both web2 and web3 products.
  • ChainGPT: An AI model designed for blockchain and crypto, featuring products like an AI NFT generator, AI-powered news generator, trading assistant, smart contract generator, and auditor. ChainGPT won the BNB Ecosystem Catalyst Award in September 2023.

Data tokenization​

The intersection of AI and cryptography in the data sector holds significant potential, as data and computing power are foundational resources for AI. While decentralized computing can sometimes reduce efficiency, decentralizing data is reasonable because data production is inherently decentralized. Thus, the combination of AI and blockchain in the data sector offers substantial growth potential.

A major challenge in this field is the lack of a mature data marketplace, making effective valuation and standardization of data difficult. Without a reliable valuation mechanism, projects struggle to attract capital through token incentives, potentially breaking the "flywheel effect" even for high-potential projects.

Key Projects:

  • Synesis One: A crowdsourcing platform on Solana where users earn tokens by completing micro-tasks for AI training. Collaborating with Mind AI, the platform supports various data types and robot process automation. Mind AI has agreements with GM and the Indian government, raising $9.5 million in funding.
  • Grass.io: A decentralized bandwidth marketplace enabling users to sell surplus bandwidth to AI companies. With over 2 million IP addresses, only active users earn rewards. They have raised $3.5 million in seed funding led by Polychain and Tribe Capital.
  • GagaNode: A next-generation decentralized bandwidth market addressing IPv4 shortages using Web 3.0 technology. It is compatible with multiple platforms, including mobile, and the code is open-source.
  • Ocean Protocol: Allows users to tokenize and trade their data on Ocean Market, creating data NFTs and data tokens. Founder Bruce Pon, formerly with Mercedes-Benz, is a lecturer on blockchain and decentralization technologies, supported by a global advisory team.

AI Application​

Combining AI capabilities with current crypto businesses opens up new avenues for enhancing efficiency and functionality across various sectors like DeFi, gaming, NFTs, education, and system management.

DeFi​

  • inSure DeFi: A decentralized insurance protocol where users buy SURE tokens to insure their crypto assets. It leverages Chainlink for dynamic pricing.
  • Hera Finance: An AI-driven cross-chain DEX aggregator integrated with multiple chains, such as Ethereum, BNB, and Arbitrum.
  • SingularityDAO: An AI-powered DeFi protocol offering investment management. Partnering with SingularityNET, they secured $25M to scale their AI tools and ecosystem.
  • Arc: Offers an AI-driven DeFi ecosystem via Reactor and DApp. Acquired Lychee AI, joined Google Cloud's AI Startup Program, and released AI-powered ARC Swaps.
  • AQTIS: An AI-supported liquidity protocol aiming to establish a sustainable ecosystem with $AQTIS akin to gas on Ethereum.
  • Jarvis Network: Utilizes AI algorithms to optimize trading strategies for crypto and other assets. Their native token JRT circulates actively.
  • LeverFi: A leveraged trading protocol developing an AI DeFi solution with Microsoft. Secured $2M from DWF Labs for AI investment management.
  • Mozaic: An auto-farming protocol blending AI concepts and LayerZero technology.

Gaming​

  • Sleepless AI: Uses AI blockchain for a virtual companion game. The first game, HIM, features unique SBT characters on-chain. Binance launched Sleepless AI's token via Launchpool.
  • Phantasma: A gaming-focused layer 1 blockchain offering smartNFTs and AI smart contract encoders.
  • Delysium: An AI-driven Web3 gaming publisher with an open-world framework. They offer Lucy, an AI Web3 OS, and enable AI-Twins creation for interactive gaming.
  • Mars4.me: An interactive 3D metaverse project supported by NASA data. Secured long-term funding from DWF Labs.
  • GamerHash: Leverages excess computing power during high-end gaming for crypto mining. Their Play&Earn feature provides tasks for lower-spec computers.
  • Gaimin: Founded by an eSports team, it combines cloud computing with gaming to build a dApp that provides extra GPU rewards.
  • Cerebrum Tech: A generative AI, gaming, and Web3 solution provider. Recently raised $1.8M for gaming and AI expansion.
  • Ultiverse: A metaverse gaming platform that raised funds from Binance Labs to launch its AI-driven open metaverse protocol, Bodhi.

NFT​

  • NFPrompt: An AI-driven platform where users can generate NFT art. Binance's Launchpool supports NFP staking for rewards.
  • Vertex Labs: A Web3 and AI infrastructure provider with blockchain, AI computation, and Web3 brands like Hape Prime.

Education​

  • Hooked Protocol: Offers social educational games and has Hooked Academy, an AI-driven educational tool backed by ChatGPT.

System​

  • Terminus OS: A Web3 OS based on blockchain-edge-client architecture, designed for AI-era proof of intelligence. ByteTrade secured $50M in funding for its development.

Conclusion​

The fusion of AI and cryptocurrency is opening up groundbreaking opportunities across various sectors, from cloud computing and AI applications to data tokenization and zero-knowledge machine learning. This combination of technologies is already showcasing its transformative power. With more innovative projects on the horizon, the future of AI and crypto will be diverse, intelligent, and secure.

We're eager to see new collaborations and cutting-edge technologies that will expand the reach of AI and blockchain into even broader applications.

· 4 min read
Lark Birdy

Cuckoo Network is the first Decentralized AI Model Serving Marketplace rewarding AI enthusiasts, developers, and GPU miners with crypto tokens. On our platform, miners share their GPUs with generative AI app builders, aka coordinators, in order to run inference for end customers, so that all the contributors can earn crypto tokens.

Staking and mining tokens with GPU

2024-07-09 update: This post is for testnet. Check this post for mainnet.

When miners share their GPUs, how to ensure they are not faking results? Cuckoo Network establishes trust and integrity through staking, rewards, and slashing. Today we are glad to announce that stakers can join our testnet and secure trust for this decentralized AI network.

Join the testnet today​

For stakers

  1. Get CAI tokens from testnet faucet
  2. Stake tokens at the staking portal / testnet staking
  3. Vote for coordinators or miners

Cuckoo Portal - Staking

For GPU miners

  1. Get CAI tokens by contacting admins from https://cuckoo.network/tg or https://cuckoo.network/dc
  2. Stake > 20K tokens at the staking portal
  3. Register minerAddress and introduction information. The minerAddress is recommended to be different from your staker address.
  4. Run miner node with the minerAddress’s private key

For Coordinators

  1. Get CAI tokens by contacting admins from https://cuckoo.network/tg or https://cuckoo.network/dc
  2. Stake > 2M tokens at the staking portal
  3. Register coordinatorAddress and introduction information. The coordinatorAddress is recommended to be different from your staker address.
  4. Run the coordinator node with the minerAddress’s private key

How it works?​

The entire system takes a couple of roles to work together:

  • GPU Miner Staker: Individuals or entities running computation resources to execute AI tasks. They hold CAI tokens with a wallet to stake in the network. The more they stake, the higher the chances that they will get assigned GPU tasks.
  • App Builders (Coordinator Staker): Developers creating AI applications on top of Cuckoo Network, overseeing task distribution and quality control. They carry CAI tokens with a wallet to stake in the network. The more they stake, the higher the chances that they will get GPU miners who are willing to work with them.
  • Stakers: Participants who stake tokens to vote for trustworthy Miners and coordinators. They will be rewarded for their stakes.
  • Staking Contract: A smart contract where Miners and coordinators register and stakers vote for them.
  • Coordinator Node: Generative AI applications call APIs of this node to offer GPU tasks like prompt to generate images in the network.
  • Miner Node: GPU providers run miner node to undertake the task execution with GPUs.

img

Task assignment and scheduler is a critical function within the Cuckoo AI ecosystem, ensuring efficient and fair distribution of tasks from coordinators to Miners.

However, nodes must establish trust before getting into the system. Thus, all participants must stake tokens before they take any roles.

Then, generative AI app builders, aka coordinators, run the coordinator node with a private key whose address has been registered with the staking contracts. This node reads miner registration from the staking contracts and then listens to requests coming from miner nodes.

GPU providers run the miner node which will fetch info from staking contracts as well and poll the coordinators for pending tasks.

When the generative AI app offers a task to the coordinator, the coordinator will assign the task to the active miner addresses according to their stakes as weights. Then the corresponding miners work on the task and finally submit the results to the coordinator.

Summary​

The Cuckoo Network introduces a unique decentralized AI-to-Earn platform, emphasizing collaboration and trust. By employing staking mechanisms and incentives, it ensures the authenticity and engagement of all participants, including developers, GPU miners, and stakers. This approach guarantees reliable task distribution and fosters a sustainable environment for advancing decentralized AI technologies. Cuckoo invites more users to explore its network, offering them the opportunity to contribute to AI development while earning cryptocurrency.

· 4 min read
Lark Birdy

Breaking New Ground in AI with Cuckoo

Artificial Intelligence (AI) systems hold unprecedented potential to reshape industries, yet their development has been stifled by issues inherent to centralized frameworks. These range from significant privacy concerns to limitations in computational accuracy and a vulnerability to censorship. The need for a more open and robust AI infrastructure is clear, and Cuckoo emerges as a transformative solution to these challenges.

Why are we building the Cuckoo Platform?​

Cuckoo represents an innovative leap forward, establishing a decentralized AI infrastructure that fosters a community-driven governance model. This approach addresses the critical aspects of safety, funding, strategic alignment, and the sustainable evolution of AI models, paving the way for a new era of decentralized intelligence.

Overcoming Censorship​

Cuckoo enables breakthroughs in accessibility, allowing AI applications to transcend geographical limits and evade restrictive networks, thus democratizing access to cutting-edge AI technologies worldwide.

Prioritizing Privacy​

At the heart of Cuckoo's ethos is the commitment to user privacy, achieved through advanced statistical and cryptographic methods that maintain high performance while safeguarding user data.

Ensuring Trust through Comprehensive Verification​

Cuckoo introduces rigorous validation protocols that enhance the authenticity and reliability of results produced by AI models, regardless of their complexity or foundational nature.

Technical Decentralization of AI with Cuckoo​

The Cuckoo AI Ecosystem​

Leveraging blockchain technology, the Cuckoo AI ecosystem distributes AI tasks across a network of Miners while Coordinators oversee the quality and relevance of the outputs. The ecosystem operates on Cuckoo Pay, a blockchain-based payment system that facilitates smooth transactions within the platform.

Cuckoo Decentralized Multimodal AI Platform

Key Components of the Cuckoo Ecosystem​

  • Miners: Entities that execute AI tasks using their computational resources.
  • App Builders (Coordinator Nodes): Developers who create AI applications and manage task distribution and quality control.
  • Stakers: Participants who stake tokens to support trustworthy Miners and coordinators.
  • Staking Contract: A smart contract where Miners and coordinators register and are voted upon by stakers.
  • Blob Storage: A decentralized solution for storing AI task outputs.
  • Cuckoo Pay: The payment system for all transactions within the Cuckoo ecosystem.

Workflow​

  1. Registration and Staking: Miners and App Builders register with the staking contract and stake tokens.
  2. Task Assignment: Coordinators assign tasks to Miners, who then execute the tasks and upload the results to Blob Storage.
  3. Validation and Payment: Coordinators validate the results and initiate payments through Cuckoo Pay.
  4. Governance and Compliance: The platform includes mechanisms like slashing conditions to handle non-compliance and ensure the ecosystem's integrity.

How to get started?​

For AI users, go to https://cuckoo.network/tg. Claim your free points with /faucet and then /imagine <prompt> the image you want to generate.

- /tip <0x.. or @username> <amount> : tip the recipient address or telegram @username

- /balance : show the balance of the current account's wallet

- /imagine <prompt> : generate image according to your prompt

- /faucet : claim your daily free points

Cuckoo Decentralized Multimodal AI Platform

For miners and AI App builders, subscribe to the following newsletter for future updates.

Conclusion​

Cuckoo is not just a platform but a paradigm shift in how AI is developed and deployed, emphasizing decentralization, privacy, and community governance. By transforming the landscape of AI development, Cuckoo sets the stage for a more equitable and accessible technological future.

Cuckoo's open infrastructure champions an AI future that is more inclusive, secure, and efficient, promising profound impacts across various sectors and global markets.