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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... show more

Phoenix AI Labs

75,749 subscribers

37,324 次观看 • 1 年前 •via X (Twitter)

教育科学技术

Anya Rossi• Live Now

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10 条评论

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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Deploy an AI agent to create smart contracts on Wayfinder. The contract agent is prompted to create a staking contract for $PRIME, and the user can create secure contracts with details including the APY, staking mechanisms, total supply, and more...

Deploy an AI agent to create smart contracts on Wayfinder. The contract agent is prompted to create a staking contract for $PRIME, and the user can create secure contracts with details including the APY, staking mechanisms, total supply, and more...

Wayfinder Foundation 🧭

112,246 次观看 • 1 年前

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.

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.

OpenLedger

17,229 次观看 • 1 年前

3 reasons why we chose to deploy our rollup in the ZKsync Elastic Chain ecosystem. 1⃣ SXT smart contract execution layer SXT is a blockchain designed for collecting, storing, querying, and proving data to smart contracts. Unlike an EVM chain, it's not designed to execute smart contracts. In order to support critical functions for the SXT network, like staking and slashing for node ops, as well as to allow devs to deploy their own smart contracts directly on SXT, we built our own ZK rollup with ZKsync’s stack. It serves as the settlement and smart contract execution layer for SXT. 2⃣ Elastic Chain ecosystem We 🩷 the ZKsync community, and building in the Elastic Chain ecosystem gives us access to an array of other rollups, users, apps, and smart contracts that need ZK-proven data. The Elastic Chain includes some of the coolest projects in crypto across DeFi, social, NFTs, and more, and we're excited to build with them. 3⃣ ZK is the endgame ZKsync is fast, secure, scalable, and the best-in-class zkEVM. Full stop. We’re incredibly bullish on ZK in general, but more specifically the ZKsync roadmap and everything being built by the community and the Matter Labs team. 🎙️: chain builder on The Rollup

3 reasons why we chose to deploy our rollup in the ZKsync Elastic Chain ecosystem. 1⃣ SXT smart contract execution layer SXT is a blockchain designed for collecting, storing, querying, and proving data to smart contracts. Unlike an EVM chain, it's not designed to execute smart contracts. In order to support critical functions for the SXT network, like staking and slashing for node ops, as well as to allow devs to deploy their own smart contracts directly on SXT, we built our own ZK rollup with ZKsync’s stack. It serves as the settlement and smart contract execution layer for SXT. 2⃣ Elastic Chain ecosystem We 🩷 the ZKsync community, and building in the Elastic Chain ecosystem gives us access to an array of other rollups, users, apps, and smart contracts that need ZK-proven data. The Elastic Chain includes some of the coolest projects in crypto across DeFi, social, NFTs, and more, and we're excited to build with them. 3⃣ ZK is the endgame ZKsync is fast, secure, scalable, and the best-in-class zkEVM. Full stop. We’re incredibly bullish on ZK in general, but more specifically the ZKsync roadmap and everything being built by the community and the Matter Labs team. 🎙️: chain builder on The Rollup

Space and Time

19,565 次观看 • 1 年前

A world first: a demonstration of AI running *on* blockchain as a smart contract 🧠⚡️ The Internet Computer is used – the world's first 3rd gen. blockchain #ICP. AI will become the beating heart of our web3, multi-chain world, and this is only my first demo. Code will follow shortly. This is running on DFINITY's Internet Computer testnet, but you'll be able to take the code and run it on the public network as the NNS is expected to up the per-transaction instruction limit in the coming days. Some important notes. The inference engine used has not been optimized, and we will show vastly greater efficiency in subsequent demos, where the AI runs even faster, and consumes less gas/cycles. We will also propose to the NNS that smart contracts have access to SIMD instructions – which we have determined are deterministic – unlocking vastly more speed and efficiency. Lastly, currently the actor smart contracts ICP hosts run inside a 32 bit environment, which limits their main memory to 4GB. Within the next couple of months, we expect the Internet Computer to move to a 64 bit environment, allowing smart contract memory limits to be raised much higher – allowing for models with far more parameters, and thus power, to be run. Those of you who have followed my posts know that hardware optimization support is planned. Firstly this will involve WASM smart contracts shipping out matrices for processing by the CPUs on existing node machines (another advantage of the Internet Computer running on sovereign node hardware). Secondly, we plan to propose a new public node machine specification, which node providers can build to, for use in subnets specialized for hosting AI smart contracts, in which each machine will incorporate several GPUs. Naturally, this will be packaged with other technological developments that ensure smart contract determinism. This is part of our mission to enable powerful LLMs to run as smart contracts on the Internet Computer – in a forms that are tamperproof, unstoppable, and optionally autonomous (including under the exclusive control of DAOs). Our vision: you will be able to have a chat with a smart contract. A smart contract will be able to coordinate your organization (see my earlier tweet about a "Delphi"). ICP smart contracts will be able to audit Ethereum smart contracts, kitemarking those without backdoors and reentrancy bugs. And smart contracts will be able to do KYC autonmously, matching faces to driving licenses, and more. We will deliver new SDK enhancements, and work with partners, to turbocharge crypto AI developers. Secure and unstoppable AI and third generation blockchain will be two sides of the same coin. Security and AI will be indivisible. AI models will be traded as NFTs. Thanks to Internet Computer's chain key (trustless multi-chain) capabilities, all blockchains will be able to leverage AI smart contracts. The future is beyond exciting. Thanks for watching. Can't wait to give you more demos!

A world first: a demonstration of AI running on blockchain as a smart contract 🧠⚡️ The Internet Computer is used – the world's first 3rd gen. blockchain #ICP. AI will become the beating heart of our web3, multi-chain world, and this is only my first demo. Code will follow shortly. This is running on DFINITY's Internet Computer testnet, but you'll be able to take the code and run it on the public network as the NNS is expected to up the per-transaction instruction limit in the coming days. Some important notes. The inference engine used has not been optimized, and we will show vastly greater efficiency in subsequent demos, where the AI runs even faster, and consumes less gas/cycles. We will also propose to the NNS that smart contracts have access to SIMD instructions – which we have determined are deterministic – unlocking vastly more speed and efficiency. Lastly, currently the actor smart contracts ICP hosts run inside a 32 bit environment, which limits their main memory to 4GB. Within the next couple of months, we expect the Internet Computer to move to a 64 bit environment, allowing smart contract memory limits to be raised much higher – allowing for models with far more parameters, and thus power, to be run. Those of you who have followed my posts know that hardware optimization support is planned. Firstly this will involve WASM smart contracts shipping out matrices for processing by the CPUs on existing node machines (another advantage of the Internet Computer running on sovereign node hardware). Secondly, we plan to propose a new public node machine specification, which node providers can build to, for use in subnets specialized for hosting AI smart contracts, in which each machine will incorporate several GPUs. Naturally, this will be packaged with other technological developments that ensure smart contract determinism. This is part of our mission to enable powerful LLMs to run as smart contracts on the Internet Computer – in a forms that are tamperproof, unstoppable, and optionally autonomous (including under the exclusive control of DAOs). Our vision: you will be able to have a chat with a smart contract. A smart contract will be able to coordinate your organization (see my earlier tweet about a "Delphi"). ICP smart contracts will be able to audit Ethereum smart contracts, kitemarking those without backdoors and reentrancy bugs. And smart contracts will be able to do KYC autonmously, matching faces to driving licenses, and more. We will deliver new SDK enhancements, and work with partners, to turbocharge crypto AI developers. Secure and unstoppable AI and third generation blockchain will be two sides of the same coin. Security and AI will be indivisible. AI models will be traded as NFTs. Thanks to Internet Computer's chain key (trustless multi-chain) capabilities, all blockchains will be able to leverage AI smart contracts. The future is beyond exciting. Thanks for watching. Can't wait to give you more demos!

dom | icp

1,362,003 次观看 • 2 年前

Odra is a cutting-edge Smart Contract Framework #Casper, designed to streamline development and enhance the efficiency of creating secure, scalable applications on the blockchain. 🎙️ Curious to learn more? Dive deeper into the world of Odra in our podcast episode:

Odra is a cutting-edge Smart Contract Framework #Casper, designed to streamline development and enhance the efficiency of creating secure, scalable applications on the blockchain. 🎙️ Curious to learn more? Dive deeper into the world of Odra in our podcast episode:

Casper

31,828 次观看 • 1 年前

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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OP_NET

129,776 次观看 • 1 年前

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 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 • 1 年前

LitVM's LiteForge testnet is live 🔥 For the first time, the Litecoin ecosystem has access to smart contracts, DeFi, and Web3 applications — running on LitVM, powered by zkLTC. The next chapter of Litecoin starts now. 🌐 Explore:

LitVM's LiteForge testnet is live 🔥 For the first time, the Litecoin ecosystem has access to smart contracts, DeFi, and Web3 applications — running on LitVM, powered by zkLTC. The next chapter of Litecoin starts now. 🌐 Explore:

LitVM

411,547 次观看 • 3 个月前

Do you want to learn how to read from a smart contract on Somnia? We cover deploying a contract on the Somnia Testnet, setting up a simple frontend with Next.js, and connecting it all with Hardhat and TypeScript. This is part one of a series where we go deeper into building on Somnia.

Do you want to learn how to read from a smart contract on Somnia? We cover deploying a contract on the Somnia Testnet, setting up a simple frontend with Next.js, and connecting it all with Hardhat and TypeScript. This is part one of a series where we go deeper into building on Somnia.

Somnia

22,191 次观看 • 1 年前

QF NETWORK: RISC-V SMART CONTRACTS NOW LIVE! World's first RISC-V smart contract platform is here! With groundbreaking PVM architecture now available on Devnet, delivering unprecedented performance for decentralized applications. Current Status: Our core technical foundation is solid and functional. The platform supports the full smart contract lifecycle - from compilation to deployment to function calls. However, we're still in the early stages of refining developer experience. What's Available Now: -Step-by-step guides for the complete development workflow -Video tutorials explaining each step in detail -Working faucet for testnet tokens -Example contracts to accelerate your start Our Immediate Focus: Transforming QF Network into the most developer-friendly blockchain environment by: -Simplifying tooling installation and setup -Building better error handling and debugging tools -Expanding documentation with more examples -Creating development templates and frameworks 🔗 Resources for Early Adopters: Complete Guide: Step-by-Step Instructions Video Tutorials: Text Instructions: Faucet: SDK (Work in progrss): Developers with experience in Rust or smart contract development will find our current toolchain accessible, while we work to make it approachable for all developers. We welcome adventurous developers to explore our platform and provide feedback to help shape the future of QF Network! -QF Team

QF NETWORK: RISC-V SMART CONTRACTS NOW LIVE! World's first RISC-V smart contract platform is here! With groundbreaking PVM architecture now available on Devnet, delivering unprecedented performance for decentralized applications. Current Status: Our core technical foundation is solid and functional. The platform supports the full smart contract lifecycle - from compilation to deployment to function calls. However, we're still in the early stages of refining developer experience. What's Available Now: -Step-by-step guides for the complete development workflow -Video tutorials explaining each step in detail -Working faucet for testnet tokens -Example contracts to accelerate your start Our Immediate Focus: Transforming QF Network into the most developer-friendly blockchain environment by: -Simplifying tooling installation and setup -Building better error handling and debugging tools -Expanding documentation with more examples -Creating development templates and frameworks 🔗 Resources for Early Adopters: Complete Guide: Step-by-Step Instructions Video Tutorials: Text Instructions: Faucet: SDK (Work in progrss): Developers with experience in Rust or smart contract development will find our current toolchain accessible, while we work to make it approachable for all developers. We welcome adventurous developers to explore our platform and provide feedback to help shape the future of QF Network! -QF Team

QF Network

37,566 次观看 • 1 年前

Cardano founder Charles Hoskinson explains his excitement for the rise of #Bitcoin and $XRP DeFi, highlighting: 🔹Bringing XRP DeFi to #Cardano 🔹The $140B opportunity in BTC and XRP ecosystems 🔹Cardano’s UTXO design alignment with BTC and XRP 👉 Charles Hoskinson discusses Cardano's potential to lead in DeFi by bridging legacy crypto assets with smart contract platforms as DeFi grows beyond #Ethereum.

Cardano founder Charles Hoskinson explains his excitement for the rise of #Bitcoin and $XRP DeFi, highlighting: 🔹Bringing XRP DeFi to #Cardano 🔹The $140B opportunity in BTC and XRP ecosystems 🔹Cardano’s UTXO design alignment with BTC and XRP 👉 Charles Hoskinson discusses Cardano's potential to lead in DeFi by bridging legacy crypto assets with smart contract platforms as DeFi grows beyond #Ethereum.

Bitcoin.com News

140,169 次观看 • 1 年前

This demo shows Wayfinder AI's testing suite for smart contracts. Our goal is to have this functionality available to everyone in the near future with the release of the contract agent and pro plans. Each contract is coded, reviewed, and edited, then the testing agent sets up a framework to check the contract’s logic and flow before deployment - this helps catch errors early and prevent costly issues. In the video, we create a community governance contract called "Tarrified" on Base. Using OFT from LayerZero , we deploy the main governance contract on Base with the entire token supply, then set up a BSC Binance version with zero supply so tokens can be bridged over.

This demo shows Wayfinder AI's testing suite for smart contracts. Our goal is to have this functionality available to everyone in the near future with the release of the contract agent and pro plans. Each contract is coded, reviewed, and edited, then the testing agent sets up a framework to check the contract’s logic and flow before deployment - this helps catch errors early and prevent costly issues. In the video, we create a community governance contract called "Tarrified" on Base. Using OFT from LayerZero , we deploy the main governance contract on Base with the entire token supply, then set up a BSC Binance version with zero supply so tokens can be bridged over.

Wayfinder Foundation 🧭

69,024 次观看 • 1 年前

$XRP utility is continuously expanding. On this episode of Onchain Economy, Hugo Philion, Co-Founder and CEO of Flare ☀️, explains how Flare is expanding what’s possible for $XRP through interoperability. By bringing XRP into a smart contract environment, Flare enables DeFi use cases including using XRP as collateral, lending and borrowing, and interacting with stablecoins and tokenized assets. Hugo also shares his perspective on why privacy may be important for broader institutional adoption. 📺 Watch the full episode:

$XRP utility is continuously expanding. On this episode of Onchain Economy, Hugo Philion, Co-Founder and CEO of Flare ☀️, explains how Flare is expanding what’s possible for $XRP through interoperability. By bringing XRP into a smart contract environment, Flare enables DeFi use cases including using XRP as collateral, lending and borrowing, and interacting with stablecoins and tokenized assets. Hugo also shares his perspective on why privacy may be important for broader institutional adoption. 📺 Watch the full episode:

RippleX

95,179 次观看 • 1 个月前

Say hello to a massive acceleration of AI smart contracts 🧠 on the Internet Computer #ICP blockchain. Brilliant work by the DFINITY Foundation team has accelerated deterministic floating point instructions by 10X. We continue on our mission to run sophisticated LLMs as smart contracts 👊⚡️🔥 In the demo, image classification is now running 3X+ faster (across 3-4 blocks through consensus compared to 10-12 before). Naturally, the gas/cycles costs of AI inference has come down commensurately. The acceleration was achieved through broad low-level work, which includes commits to the public Wasmtime virtual machine implementation of WebAssembly. Coming optimizations will take us much further. The next optimization will include the integration of SIMD instructions into the smart contract execution environment, which will allow multiple floating point calculations to be performed in parallel through the execution of a single instruction. Something crucial: also in near sight, is the migration of the ICP smart contract environment from 32-bit Wasm to 64-bit Wasm, which will scale the number of AI model weights that can be loaded into contract memory from 2B to whatever is needed for sophisticated LLMs. Somewhat further away, is the provision of new APIs allowing canister smart contract code to export AI computations for accelerated processing on GPUs. This will require substantial work to address the challenges of achieving deterministic computation directly on the silicon, and for the community to agree a new public spec for node machines that pack GPUs, and to add compliant blockchain nodes to the network. Together, these improvements will unlock further orders of magnitude acceleration of AI smart contract inference (and potentially training). We believe that in the future vast numbers of AI models will run as smart contracts, which will prevent them being hacked (and thus the sensitive data they ingest being stolen), make them unstoppable, make them transparent, and where needed, allow them to run autonomously – for example for purposes such as KYC or EVM smart contract verification/certification. In the future, you will be able to have a conversation with a blockchain, and ask it to do reasoning for you. In this bright future, on-chain AI will be at the heart of Web3 – and to be clear, the Internet Computer's chain key technology will allow direct trustless integration with smart contracts on traditional chains such as Ethereum, Solana and NEAR. Join the #ICP mission to run the most impactful AI models on blockchain as smart contracts, and help make the Internet Computer the "everything computer." Join next week's Global R&D for details about the low-level deterministic floating point optimizations. Thanks for following 💪

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Say hello to a massive acceleration of AI smart contracts 🧠 on the Internet Computer #ICP blockchain. Brilliant work by the DFINITY Foundation team has accelerated deterministic floating point instructions by 10X. We continue on our mission to run sophisticated LLMs as smart contracts 👊⚡️🔥 In the demo, image classification is now running 3X+ faster (across 3-4 blocks through consensus compared to 10-12 before). Naturally, the gas/cycles costs of AI inference has come down commensurately. The acceleration was achieved through broad low-level work, which includes commits to the public Wasmtime virtual machine implementation of WebAssembly. Coming optimizations will take us much further. The next optimization will include the integration of SIMD instructions into the smart contract execution environment, which will allow multiple floating point calculations to be performed in parallel through the execution of a single instruction. Something crucial: also in near sight, is the migration of the ICP smart contract environment from 32-bit Wasm to 64-bit Wasm, which will scale the number of AI model weights that can be loaded into contract memory from 2B to whatever is needed for sophisticated LLMs. Somewhat further away, is the provision of new APIs allowing canister smart contract code to export AI computations for accelerated processing on GPUs. This will require substantial work to address the challenges of achieving deterministic computation directly on the silicon, and for the community to agree a new public spec for node machines that pack GPUs, and to add compliant blockchain nodes to the network. Together, these improvements will unlock further orders of magnitude acceleration of AI smart contract inference (and potentially training). We believe that in the future vast numbers of AI models will run as smart contracts, which will prevent them being hacked (and thus the sensitive data they ingest being stolen), make them unstoppable, make them transparent, and where needed, allow them to run autonomously – for example for purposes such as KYC or EVM smart contract verification/certification. In the future, you will be able to have a conversation with a blockchain, and ask it to do reasoning for you. In this bright future, on-chain AI will be at the heart of Web3 – and to be clear, the Internet Computer's chain key technology will allow direct trustless integration with smart contracts on traditional chains such as Ethereum, Solana and NEAR. Join the #ICP mission to run the most impactful AI models on blockchain as smart contracts, and help make the Internet Computer the "everything computer." Join next week's Global R&D for details about the low-level deterministic floating point optimizations. Thanks for following 💪

dom | icp

278,277 次观看 • 2 年前

This is the natural evolution of both AI and blockchain oracles. Both coming together to put LLM-logic and intelligence on-chain, within reach of your smart contracts in a decentralized and trustless manner. Expanding possibilities for crypto, only on Supra.

This is the natural evolution of both AI and blockchain oracles. Both coming together to put LLM-logic and intelligence on-chain, within reach of your smart contracts in a decentralized and trustless manner. Expanding possibilities for crypto, only on Supra.

Supra

16,147 次观看 • 1 年前

EXCLUSIVE: Robinhood is going to pay 7% on dollars to 27.7 million customers. In this Interview Johann Kerbrat, their SVP of Crypto explains how it all works. Robinhood Earn lives inside the main investing app. You can buy the USDG stablecoin in a few taps, and it gets deployed into vaults built with Morpho and Steakhouse, and the target yield is roughly 7%. Where does 7% come from? Market makers and liquidity providers pay it. These are traders who need USDG liquidity to run spot and perps trading. Your deposit is funding someone else's 50x leverage, and you're the one getting paid for it. Assuming you get paid back. Which, as we've seen, doesn't always work in DeFi with hacks and smart contract risk. But Robinhood has done something extra to make this retail-grade. Robinhood's answer is an insurance program with Lloyd's of London and Relm covering smart contract and vault failure. He says it's one of the largest ever built for a crypto product. Earn was one of 12 announcements; some others that caught my eye: Stock tokens in 120+ countries, backed 1:1 by real equities. You can withdraw them to a self-custody wallet and post them as collateral. Borrowing against a stock portfolio used to be a private banking perk; now it's a smart contract. Robinhood Chain went to public mainnet after 200 million transactions on testnet. Perps on stocks, crypto, and commodities at 20 to 50x leverage, bringing an entire new asset class to the mainstream. Robinhood is all in on DeFi. DeFi protocols spent a decade fighting for users. Robinhood just made a Morpho vault look like a savings account, in front of 27.7m funded customers. See the 15-minute highlights below and the full episode on the Tokenized Podcast youtube channel Full interview with Johann on bryton k. YouTube

EXCLUSIVE: Robinhood is going to pay 7% on dollars to 27.7 million customers. In this Interview Johann Kerbrat, their SVP of Crypto explains how it all works. Robinhood Earn lives inside the main investing app. You can buy the USDG stablecoin in a few taps, and it gets deployed into vaults built with Morpho and Steakhouse, and the target yield is roughly 7%. Where does 7% come from? Market makers and liquidity providers pay it. These are traders who need USDG liquidity to run spot and perps trading. Your deposit is funding someone else's 50x leverage, and you're the one getting paid for it. Assuming you get paid back. Which, as we've seen, doesn't always work in DeFi with hacks and smart contract risk. But Robinhood has done something extra to make this retail-grade. Robinhood's answer is an insurance program with Lloyd's of London and Relm covering smart contract and vault failure. He says it's one of the largest ever built for a crypto product. Earn was one of 12 announcements; some others that caught my eye: Stock tokens in 120+ countries, backed 1:1 by real equities. You can withdraw them to a self-custody wallet and post them as collateral. Borrowing against a stock portfolio used to be a private banking perk; now it's a smart contract. Robinhood Chain went to public mainnet after 200 million transactions on testnet. Perps on stocks, crypto, and commodities at 20 to 50x leverage, bringing an entire new asset class to the mainstream. Robinhood is all in on DeFi. DeFi protocols spent a decade fighting for users. Robinhood just made a Morpho vault look like a savings account, in front of 27.7m funded customers. See the 15-minute highlights below and the full episode on the Tokenized Podcast youtube channel Full interview with Johann on bryton k. YouTube

Simon Taylor

342,319 次观看 • 18 天前

Raoul Pal: Bitcoin is only competing for one thing - a share of global savings. "It can only ever get, by definition, to 100% of global savings." But smart contracts organize everything on the internet. "When you add in agents - it's an infinite TAM that goes on forever." (The smart contract L1s just take a larger and larger share of everything) FT Raoul Pal Real Vision Goldmember Sui.

Raoul Pal: Bitcoin is only competing for one thing - a share of global savings. "It can only ever get, by definition, to 100% of global savings." But smart contracts organize everything on the internet. "When you add in agents - it's an infinite TAM that goes on forever." (The smart contract L1s just take a larger and larger share of everything) FT Raoul Pal Real Vision Goldmember Sui.

Milk Road

75,995 次观看 • 2 个月前

Kaskad launch drives Igra Labs' TVL to nearly $2 million. According to DefiLlama data, the TVL of Kaspa L2 Igra Labs stood at just ~$650K until the launch of DeFi protocol Kaskad and its listing on DefiLlama. Igra's TVL now stands at some $1.96M at time of writing, with Kaskad making up some $1.31M of that figure. Though small for now in industry terms, this could be the start of a burgeoning smart contract and DeFi ecosystem on $KAS.

Kaskad launch drives Igra Labs' TVL to nearly $2 million. According to DefiLlama data, the TVL of Kaspa L2 Igra Labs stood at just ~$650K until the launch of DeFi protocol Kaskad and its listing on DefiLlama. Igra's TVL now stands at some $1.96M at time of writing, with Kaskad making up some $1.31M of that figure. Though small for now in industry terms, this could be the start of a burgeoning smart contract and DeFi ecosystem on $KAS.

BSCN

12,171 次观看 • 1 个月前

Etherealize co-founder Danny Ryan on the bull case for DATs “These companies — there’s a number of them — will have to try to differentiate themselves and compete. Ultimately, some might play the yield game. Some might blow up spectacularly. But a lot of the differentiation might be on-chain: yield, DeFi, and the utilization of Ethereum. I think the best case scenario is there’s healthy competition amongst a few of them to differentiate and use the chain in novel and interesting ways and become on-chain asset managers.” Ex-Co-Executive Director at the Ethereum Foundation Tomasz Stańczak builds on Danny’s point: “Many of them will be absolutely top-quality people with a great understanding of technology and vision for how to — in a smart way — use DeFi to generate returns and structure everything so that it’s perpetual and safe… and in general, I have massive respect for binging Ethereum to Wall Street and those who want to have exposure to Ethereum in a way that is compliant . . . You have ETFs, DATs, spot ETH, which bring together various ways of participating in and securing the network. For Ethereum, it’s great — especially as a public company: they’ll have this obligation to play the consensus game properly and respect the rules. You don’t expect DATs to be attackers of the network.”

Etherealize co-founder Danny Ryan on the bull case for DATs “These companies — there’s a number of them — will have to try to differentiate themselves and compete. Ultimately, some might play the yield game. Some might blow up spectacularly. But a lot of the differentiation might be on-chain: yield, DeFi, and the utilization of Ethereum. I think the best case scenario is there’s healthy competition amongst a few of them to differentiate and use the chain in novel and interesting ways and become on-chain asset managers.” Ex-Co-Executive Director at the Ethereum Foundation Tomasz Stańczak builds on Danny’s point: “Many of them will be absolutely top-quality people with a great understanding of technology and vision for how to — in a smart way — use DeFi to generate returns and structure everything so that it’s perpetual and safe… and in general, I have massive respect for binging Ethereum to Wall Street and those who want to have exposure to Ethereum in a way that is compliant . . . You have ETFs, DATs, spot ETH, which bring together various ways of participating in and securing the network. For Ethereum, it’s great — especially as a public company: they’ll have this obligation to play the consensus game properly and respect the rules. You don’t expect DATs to be attackers of the network.”

Etherealize

12,360 次观看 • 3 个月前