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PhoenixLLM for Coding & Engineering is a specialized vertical LLM running on SkyNet custom-tailored for automating the development of applications in 80+ programming languages, with output quality on-par with GPT4 and GPT-4o. One of its use cases include rapid development of smart contracts and dApps on various public blockchains...

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Phoenix AI Labs

75,749 subscribers

37,324 次观看 • 1 年前 •via X (Twitter)

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NARUTO- Unknown 的头像
NARUTO- Unknown1 年前

$PHB my number 1 LONGTERM Bag $PHB 222$ ATH sooon

Huracavio 的头像
Huracavio1 年前

WHEN 100$

BUCHI 的头像
BUCHI1 年前

U should hit 20 dolls soon

Beauty 💖💖 的头像
Beauty 💖💖1 年前

$PHB 🔥

nhap thanh 的头像
nhap thanh1 年前

PHB 100$

Azim Khan 的头像
Azim Khan1 年前

This bull run Phoenix 10B $ MarketCap achieved confirm, its AI's Solana & Matic..

Serkan Batur💱🪽 的头像
Serkan Batur💱🪽1 年前

#phb never stop 💪🏻🚀❤️

El Gran Machista 的头像
El Gran Machista1 年前

Wow! Super cool #phb

🔥 的头像
🔥1 年前

#phb 🔥🔥🔥

PSYOPTRON (Sukhchain Singh) 的头像
PSYOPTRON (Sukhchain Singh)1 年前

@Phoenix_Chain PHB 🚀🚀

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We’re excited to announce our partnership with Use Morpheus as they develop a specialized AI model on OpenLedger. Leveraging our decentralized infrastructure, Morpheus will create a fine-tuned Web3 LLM focused on secure code generation and autonomous workflows. This collaboration will push the boundaries of intelligent contract creation, enabling decentralized applications to scale smarter, faster, and more securely. The next wave of AI-powered smart contracts is here, stay tuned for more updates! Hear adamzhao.eth , founder of Use Morpheus, break it down in the video.

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OpenLedger provides the infrastructure to ensure that contributor data used in model outputs is recorded with verifiable attribution. Through Proof of Attribution, contributors-whether they provide prompts, datasets, or logic refinements-can receive credit and rewards when their work influences model behavior. But attribution alone isn’t enough. In critical domains like smart contract deployment, DeFi automation, and DAO governance, understanding why a model made a decision is just as important as the output itself. OpenLedger supports explainability by linking outputs back to their original data sources-allowing developers and auditors to trace logic, validate decisions, and build trust in AI-powered systems. 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Unlike generalized coding agents, it is designed specifically for EVM environments and Web3 use cases, drawing from real protocol data and security best practices. Morpheus is fine-tuned on a vertical stack of smart contract data: Audited protocol code (e.g., Uniswap V4, Compound) OpenZeppelin libraries and EIP reference implementations Smart contract vulnerability reports and exploit reconstructions Edge cases from fuzz testing and adversarial examples It uses models like CodeLlama and DeepSeek-Coder, enhanced through RAG pipelines referencing standardized security patterns and emerging protocol designs. This training stack is integrated into a continuous feedback loop, enabling real-time specialization for EVM and beyond. Why a specialized model is needed? Smart contract development is uniquely high-stakes. A generalized AI model is not enough. As 'vibe coding' and natural language programming become more common, we're seeing an influx of AI-generated code in Web3 as well. But smart contracts are not frontends or prototypes-they govern real value, enforce trustless execution, and often become immutable after deployment. Billions have been lost in Web3 due to bugs and inefficiencies: In 2022 alone, over $3.8 billion was stolen due to smart contract exploits, many of which stemmed from avoidable issues like reentrancy, integer overflows, or access control failures. Inefficient contract structures lead to unnecessary gas consumption. Optimizing for gas can reduce costs by up to 40%, saving projects millions over time. Upgradeable contract patterns, like UUPS or Transparent Proxies, require strict adherence to storage layout and initialization rules. Mistakes here often go undetected by generic models and can render a contract unupgradeable or vulnerable. A specialized Solidity model is trained on real-world exploits, EIP standards, and libraries like OpenZeppelin to: Generate secure, gas-efficient code by default Recognize and correctly implement complex proxy patterns Map user intent to modular, auditable contract architectures Incorporate battle-tested logic from audited protocols and fuzz-tested edge cases Morpheus goes beyond syntax-it understands the nuances of decentralized infrastructure and deploys code that meets production-grade standards. What applications will this enable Token creation with built-in logic (tax, liquidity, governance) DeFi automations triggered by market conditions Payment contracts between agents and contributors DAO tooling with dynamic NFT-based voting Cross-chain bridging logic tied to real-world oracles Asset issuance flows through chat-based interfaces Natural language contract templates with reusable logic Each of these flows is backed by OpenLedger’s Proof of Attribution-ensuring traceability, explainability, and fair rewards across the ecosystem. This is the future of AI-native development. Open. Attributed. Explainable. Community-powered. Morpheus and OpenLedger are building the first system for autonomous coding agents where: Contributor work is recorded onchain Reuse is incentivized through attribution Model outputs are traceable and explainable Contracts evolve through human-agent collaboration Anyone can contribute prompts, logic, or flows-and get rewarded The smart contract engineer is no longer a human-only role. It is an agentic, decentralized, and transparent process-powered by OpenLedger.
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OpenLedger X Morpheus The partnership of openledger with Morpheus enables Use Morpheus to build "The Autonomous Smart Contract Engineer" on top of OpenLedger. What is Morpheus? Morpheus is a Web3-native AI coding agent that turns natural language into executable smart contracts and full-stack dApps. It is powered by a specialized Solidity model built on top of OpenLedger, tailored for the unique demands of secure and efficient onchain development. It goes beyond code generation. Using fine-tuned models, agent-based architecture, and modular plugin support, Morpheus automates the entire development pipeline-from writing and simulating contracts to deploying and maintaining them. Its mission is to reduce the barrier to dApp creation while enabling autonomous agents and individuals to participate in decentralized economies. Why OpenLedger? The rise of AI agents in Web3 raises urgent questions around transparency, attribution, explainability, and contributor incentives. OpenLedger provides the infrastructure to ensure that contributor data used in model outputs is recorded with verifiable attribution. Through Proof of Attribution, contributors-whether they provide prompts, datasets, or logic refinements-can receive credit and rewards when their work influences model behavior. But attribution alone isn’t enough. In critical domains like smart contract deployment, DeFi automation, and DAO governance, understanding why a model made a decision is just as important as the output itself. OpenLedger supports explainability by linking outputs back to their original data sources-allowing developers and auditors to trace logic, validate decisions, and build trust in AI-powered systems. OpenLedger supports Morpheus by: Recording which data was used in generating model outputs Enabling verifiable attribution of contributed datasets Powering reward mechanisms for contributors Offering scalable and efficient model execution via OpenLoRA Supporting transparency and traceability in model decision-making This creates an open, rewardable foundation for AI-driven coding-without relying on opaque systems. How is the system built? The Morpheus architecture has three layers: Datanet Layer OpenLedger powers Morpheus with a specialized Datanet - a decentralized data layer where developers, auditors, and contributors can share smart contract patterns, audit logs, exploit reports, and logic modules. Each submission is recorded onchain with attribution using OpenLedger’s Proof of Attribution. As the model learns and evolves from this data, contributors receive rewards proportional to their impact on future outputs. The Morpheus architecture has two layers: Intent Layer Users describe what they want to build. Example: "Create a token with tax logic that routes to a DAO." Morpheus parses the instruction, retrieves relevant contract types, and plans a modular execution flow. Agent Layer The agent generates, tests, and assembles the contract. It handles versioning, logic validation, and deployment readiness. Security checks-reentrancy protection, overflow control, gas modeling-are embedded into the generation phase. Generated outputs are mapped to their source data using OpenLedger’s Proof of Attribution, providing traceability across the pipeline. How does the AI model work? Morpheus is being powered by a specialized Solidity model built on top of OpenLedger. This model is purpose-built to handle the nuances of smart contract logic, security, and upgradeability. Unlike generalized coding agents, it is designed specifically for EVM environments and Web3 use cases, drawing from real protocol data and security best practices. Morpheus is fine-tuned on a vertical stack of smart contract data: Audited protocol code (e.g., Uniswap V4, Compound) OpenZeppelin libraries and EIP reference implementations Smart contract vulnerability reports and exploit reconstructions Edge cases from fuzz testing and adversarial examples It uses models like CodeLlama and DeepSeek-Coder, enhanced through RAG pipelines referencing standardized security patterns and emerging protocol designs. This training stack is integrated into a continuous feedback loop, enabling real-time specialization for EVM and beyond. Why a specialized model is needed? Smart contract development is uniquely high-stakes. A generalized AI model is not enough. As 'vibe coding' and natural language programming become more common, we're seeing an influx of AI-generated code in Web3 as well. But smart contracts are not frontends or prototypes-they govern real value, enforce trustless execution, and often become immutable after deployment. Billions have been lost in Web3 due to bugs and inefficiencies: In 2022 alone, over $3.8 billion was stolen due to smart contract exploits, many of which stemmed from avoidable issues like reentrancy, integer overflows, or access control failures. Inefficient contract structures lead to unnecessary gas consumption. Optimizing for gas can reduce costs by up to 40%, saving projects millions over time. Upgradeable contract patterns, like UUPS or Transparent Proxies, require strict adherence to storage layout and initialization rules. Mistakes here often go undetected by generic models and can render a contract unupgradeable or vulnerable. A specialized Solidity model is trained on real-world exploits, EIP standards, and libraries like OpenZeppelin to: Generate secure, gas-efficient code by default Recognize and correctly implement complex proxy patterns Map user intent to modular, auditable contract architectures Incorporate battle-tested logic from audited protocols and fuzz-tested edge cases Morpheus goes beyond syntax-it understands the nuances of decentralized infrastructure and deploys code that meets production-grade standards. What applications will this enable Token creation with built-in logic (tax, liquidity, governance) DeFi automations triggered by market conditions Payment contracts between agents and contributors DAO tooling with dynamic NFT-based voting Cross-chain bridging logic tied to real-world oracles Asset issuance flows through chat-based interfaces Natural language contract templates with reusable logic Each of these flows is backed by OpenLedger’s Proof of Attribution-ensuring traceability, explainability, and fair rewards across the ecosystem. This is the future of AI-native development. Open. Attributed. Explainable. Community-powered. Morpheus and OpenLedger are building the first system for autonomous coding agents where: Contributor work is recorded onchain Reuse is incentivized through attribution Model outputs are traceable and explainable Contracts evolve through human-agent collaboration Anyone can contribute prompts, logic, or flows-and get rewarded The smart contract engineer is no longer a human-only role. It is an agentic, decentralized, and transparent process-powered by OpenLedger.

OpenLedger

46,735 次观看 • 11 个月前

Introducing OP_WALLET - built for Bitcoin’s programmable future🍊💊 Securely manage assets, interact with dApps, and deploy smart contracts directly on Bitcoin L1 through the OP_WALLET. Key features: 🔸 Send & receive BTC + OP_20 tokens 🔸 Import any OP_20 via contract address 🔸 Deploy smart contracts to Bitcoin L1 Coming soon: 🔸 Swap OP_20s directly in-wallet 🔸 And much more! Everything you need to explore Bitcoin-native DeFi is LIVE now. ⬇️ Download the OP_WALLET BELOW⬇️
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Introducing OP_WALLET - built for Bitcoin’s programmable future🍊💊 Securely manage assets, interact with dApps, and deploy smart contracts directly on Bitcoin L1 through the OP_WALLET. Key features: 🔸 Send & receive BTC + OP_20 tokens 🔸 Import any OP_20 via contract address 🔸 Deploy smart contracts to Bitcoin L1 Coming soon: 🔸 Swap OP_20s directly in-wallet 🔸 And much more! Everything you need to explore Bitcoin-native DeFi is LIVE now. ⬇️ Download the OP_WALLET BELOW⬇️

OP_NET

129,233 次观看 • 1 年前

Today, we’re releasing the first demo of Cortex. An AI agent that trades and interacts with blockchains on your behalf. - Research coins, trade, and deploy to blockchains with chat - CX1 is the first AI model trained on every blockchain transaction, smart contract and protocol
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Today, we’re releasing the first demo of Cortex. An AI agent that trades and interacts with blockchains on your behalf. - Research coins, trade, and deploy to blockchains with chat - CX1 is the first AI model trained on every blockchain transaction, smart contract and protocol

cortexprotocol.hl

219,445 次观看 • 1 年前

Learn how to use the Native Hedera Token Airdrop inside of a Solidity Smart Contract with Jay Cool ℏ Hashgraph. In this tutorial we build a Smart Contract which extends the Hedera System Smart Contract to create & cancel a frictionless airdrop. Start building on Hedera today 🛠️
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Learn how to use the Native Hedera Token Airdrop inside of a Solidity Smart Contract with Jay Cool ℏ Hashgraph. In this tutorial we build a Smart Contract which extends the Hedera System Smart Contract to create & cancel a frictionless airdrop. Start building on Hedera today 🛠️

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32,233 次观看 • 1 年前

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How do Dash's novel data contracts work? 📄 Decentralized applications built on Dash use data contracts to order, write, and call up information. We're working on smart contracts too, but so many use cases are more efficient as a data contract without needing computation.

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