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🚀 Agent deployment is becoming a core infrastructure layer for Web4 systems. Lithosphere explores why scalable deployment frameworks are essential for launching, managing, and coordinating autonomous agents across decentralized networks. Read more 🔍 #Lithosphere #Web4 #AutonomousAgents #AgentDeployment #AIInfrastructure

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LITHO Foundation

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30,373 просмотров • 2 месяцев назад •via X (Twitter)

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🚀 Strategic access is opening ahead of LITHO’s planned TGE. Lithosphere is broadening ecosystem participation around AI-native infrastructure for autonomous execution, cross-chain coordination, identity, and verifiable Web4 systems. Read more 🔍 #Lithosphere #LITHO #Web4 #AIInfrastructure #AutonomousAgents
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🚀 Strategic access is opening ahead of LITHO’s planned TGE. Lithosphere is broadening ecosystem participation around AI-native infrastructure for autonomous execution, cross-chain coordination, identity, and verifiable Web4 systems. Read more 🔍 #Lithosphere #LITHO #Web4 #AIInfrastructure #AutonomousAgents

LITHO Foundation

30,445 просмотров • 2 месяцев назад

🧬 Web4 infrastructure works better when core systems operate together. Lithosphere connects identity, naming, AI-native execution, and cross-chain coordination into one stack for users, applications, and autonomous agent activity. #Lithosphere #Web4 #AIInfrastructure #Interoperability #AutonomousAgents
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🧬 Web4 infrastructure works better when core systems operate together. Lithosphere connects identity, naming, AI-native execution, and cross-chain coordination into one stack for users, applications, and autonomous agent activity. #Lithosphere #Web4 #AIInfrastructure #Interoperability #AutonomousAgents

LITHO Foundation

33,091 просмотров • 1 месяц назад

🔗 Utility becomes meaningful when it maps to real network activity. Lithosphere highlights how LITHO supports execution, coordination, verification, cross-chain interaction, and agent operations across AI-native Web4 infrastructure. Learn here 🔍 Read more 🔍 #Lithosphere #LITHO #Web4 #AIInfrastructure #AutonomousAgents
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🔗 Utility becomes meaningful when it maps to real network activity. Lithosphere highlights how LITHO supports execution, coordination, verification, cross-chain interaction, and agent operations across AI-native Web4 infrastructure. Learn here 🔍 Read more 🔍 #Lithosphere #LITHO #Web4 #AIInfrastructure #AutonomousAgents

LITHO Foundation

58,308 просмотров • 2 месяцев назад

🌐 Autonomous agents require more than liquidity access — they require infrastructure that can coordinate execution across decentralized environments. KaJ Labs explores why AI-native systems depend on interoperable liquidity infrastructure built for routing, verification, and persistent onchain coordination. Read more 🔍 #KaJLabs #Web4 #AutonomousAgents #LiquidityInfrastructure #AIInfrastructure
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🌐 Autonomous agents require more than liquidity access — they require infrastructure that can coordinate execution across decentralized environments. KaJ Labs explores why AI-native systems depend on interoperable liquidity infrastructure built for routing, verification, and persistent onchain coordination. Read more 🔍 #KaJLabs #Web4 #AutonomousAgents #LiquidityInfrastructure #AIInfrastructure

LITHO Foundation

63,376 просмотров • 3 месяцев назад

🧱 Speed means less when systems disagree on what happened. KaJ Labs frames standards as the real foundation for agent infrastructure, keeping verification, identity, execution, governance, and settlement consistent across multi-step Web4 workflows. #KaJLabs #Web4 #AutonomousAgents #AIInfrastructure #Governance
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🧱 Speed means less when systems disagree on what happened. KaJ Labs frames standards as the real foundation for agent infrastructure, keeping verification, identity, execution, governance, and settlement consistent across multi-step Web4 workflows. #KaJLabs #Web4 #AutonomousAgents #AIInfrastructure #Governance

LITHO Foundation

21,136 просмотров • 22 дней назад

EIP-8004 is coming to the Nova architecture, a trustless infrastructure for AI agents that introduces key on-chain registries, enabling agents to interact safely across the Shido Network. These core components allow autonomous AI agents to verify identity, build reputation, and collaborate without relying on a centralized platform. The result is a decentralized trust layer for agent-to-agent economies, where agents can autonomously discover, evaluate, and work with one another across the Shido ecosystem.
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EIP-8004 is coming to the Nova architecture, a trustless infrastructure for AI agents that introduces key on-chain registries, enabling agents to interact safely across the Shido Network. These core components allow autonomous AI agents to verify identity, build reputation, and collaborate without relying on a centralized platform. The result is a decentralized trust layer for agent-to-agent economies, where agents can autonomously discover, evaluate, and work with one another across the Shido ecosystem.

Shido

390,734 просмотров • 5 месяцев назад

UI_UI x Cluster Protocol 🤝 We’re excited to announce a new partnership with Cluster Protocol , an infrastructure layer that makes it possible for AI agents to operate natively onchain. Cluster Protocol provides the coordination fabric for autonomous systems - enabling agents to interact, execute, and compose directly within decentralized environments. This collaboration extends UIUI’s vision of AGI for applications into an agent economy where workflows don’t just think, but execute directly across networks. (ui_ui)
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UI_UI x Cluster Protocol 🤝 We’re excited to announce a new partnership with Cluster Protocol , an infrastructure layer that makes it possible for AI agents to operate natively onchain. Cluster Protocol provides the coordination fabric for autonomous systems - enabling agents to interact, execute, and compose directly within decentralized environments. This collaboration extends UIUI’s vision of AGI for applications into an agent economy where workflows don’t just think, but execute directly across networks. (ui_ui)

(ui_ui)🙂

13,919 просмотров • 10 месяцев назад

March 18, 2025 marked the public launch of OptimAI. In one year, it has evolved from a lightweight node layer into a decentralized intelligence infrastructure powering real-time data, compute, and reinforcement for agentic systems. Not just nodes. Not just data. A continuously learning, network-driven intelligence layer. This is infrastructure for a new class of software: autonomous agents that persist, adapt, and operate across environments. Year one established the network. Year two is where it compounds into coordination and value flow. Personal agents. Reinforcement at network scale. Emerging primitives for AgentFi. New layers coming online. 2026 won’t just be about scale, it’s where the network starts to operate. Keep building!
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March 18, 2025 marked the public launch of OptimAI. In one year, it has evolved from a lightweight node layer into a decentralized intelligence infrastructure powering real-time data, compute, and reinforcement for agentic systems. Not just nodes. Not just data. A continuously learning, network-driven intelligence layer. This is infrastructure for a new class of software: autonomous agents that persist, adapt, and operate across environments. Year one established the network. Year two is where it compounds into coordination and value flow. Personal agents. Reinforcement at network scale. Emerging primitives for AgentFi. New layers coming online. 2026 won’t just be about scale, it’s where the network starts to operate. Keep building!

OptimAI Network

34,146 просмотров • 5 месяцев назад

🚀 Kite AI's Incentivized Testnet v1 Aero is LIVE! We are launching the first AI-focused Layer 1 sovereign blockchain with Avalanche🔺––to empower fair, transparent collaboration across data, models, and agents. At our core is Proof of Attributed Intelligence (Proof of AI), an innovative consensus mechanism that ensures fair attribution and transparent rewards for every AI contributor. Here’s what we are building and why this Testnet is crucial for AI innovation. 🧵👇
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🚀 Kite AI's Incentivized Testnet v1 Aero is LIVE! We are launching the first AI-focused Layer 1 sovereign blockchain with Avalanche🔺––to empower fair, transparent collaboration across data, models, and agents. At our core is Proof of Attributed Intelligence (Proof of AI), an innovative consensus mechanism that ensures fair attribution and transparent rewards for every AI contributor. Here’s what we are building and why this Testnet is crucial for AI innovation. 🧵👇

KITE AI

1,025,025 просмотров • 1 год назад

M E S S I E R | P2P Liquidity Provider We welcome OOBE as our latest #Solana liquidity partner on the P2P Exchange. You can now trade $OOBE with zero slippage and no buy or sell token taxes at: OOBE Protocol is a developer-focused platform designed to merge #AI agents with blockchain infrastructure on Solana. Core Services: ▪️Agent builder: Create and manage AI agents ▪️On-chain memory: Store agent data securely ▪️Open SDK: Build decentralized AI applications ▪️Integrations: Connect agents to tools & contracts ▪️Synapse RPC: Low latency & fail-proof infra for Solana dApps OOBE PROTOCOL brings programmable AI agent tools fully on-chain; enabling secure, scalable, and decentralized intelligent systems. Besides, its Synapse RPC powers Solana projects with fast, reliable, and affordable infrastructure.
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M E S S I E R | P2P Liquidity Provider We welcome OOBE as our latest #Solana liquidity partner on the P2P Exchange. You can now trade $OOBE with zero slippage and no buy or sell token taxes at: OOBE Protocol is a developer-focused platform designed to merge #AI agents with blockchain infrastructure on Solana. Core Services: ▪️Agent builder: Create and manage AI agents ▪️On-chain memory: Store agent data securely ▪️Open SDK: Build decentralized AI applications ▪️Integrations: Connect agents to tools & contracts ▪️Synapse RPC: Low latency & fail-proof infra for Solana dApps OOBE PROTOCOL brings programmable AI agent tools fully on-chain; enabling secure, scalable, and decentralized intelligent systems. Besides, its Synapse RPC powers Solana projects with fast, reliable, and affordable infrastructure.

MESSIER | M87

11,044 просмотров • 9 месяцев назад

dTelecom is raising a Seed Round. We're building decentralized real-time communication infrastructure - voice, video, and AI services (STT, TTS, Translation) for developers and autonomous agents. Why now: → $150B+ combined TAM by 2030 (RTC API + Voice AI + AI Agents) → AI agents need real-time voice infra → 2-5× lower cost, 2-4× lower latency than centralized providers → We're live, generating revenue, with $1.5M raised previously Looking for investors who understand AI infrastructure at scale. Learn more:
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dTelecom is raising a Seed Round. We're building decentralized real-time communication infrastructure - voice, video, and AI services (STT, TTS, Translation) for developers and autonomous agents. Why now: → $150B+ combined TAM by 2030 (RTC API + Voice AI + AI Agents) → AI agents need real-time voice infra → 2-5× lower cost, 2-4× lower latency than centralized providers → We're live, generating revenue, with $1.5M raised previously Looking for investors who understand AI infrastructure at scale. Learn more:

dTelecom

63,356 просмотров • 5 месяцев назад

Founder of Humanity, Terence Kwok 「 🖐️ ✦ 🌏 」, explains why physical proof of humanity is the most critical infrastructure for an internet overrun by deepfakes and AI agents. By utilizing palm biometrics and zero-knowledge technology, they are building a scalable, less invasive trust layer to fight the trillion-dollar AI scam economy. [Partner Content]
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Founder of Humanity, Terence Kwok 「 🖐️ ✦ 🌏 」, explains why physical proof of humanity is the most critical infrastructure for an internet overrun by deepfakes and AI agents. By utilizing palm biometrics and zero-knowledge technology, they are building a scalable, less invasive trust layer to fight the trillion-dollar AI scam economy. [Partner Content]

CoinDesk

88,087 просмотров • 5 месяцев назад

Behind every OptimAI Node is a mission far greater than rewards: 🔸To build a decentralized Reinforcement Data Network 🔸To unlock Agentic AI for everyone—not just a privileged few 👉OptimAI Edge Node: Our architecture is now in motion: 🔸OptimAI DePIN to power decentralized infrastructure 🔸OptimAI DeHIN to amplify collective intelligence 🔸Reinforcement Data Layer to train agents smarter, fairer 🔸Compute Layer to enable real-time AI at the edge 🔸OptimAI Chain to govern everything, transparently and efficiently OptimAI Agent Studio, Agent OS, Data Engine, Compute Engine: all part of what we’re building next. This is a network built by people, for people. And you’re not just early, you’re essential. Let’s keep mining, contributing, earning rewards in return, and rewriting the future of Decentralized AI. The future is Agentic. The fuel is your data. The power is decentralized. One Node. One Data. One Agent at a Time. #BUIDL with us!
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Behind every OptimAI Node is a mission far greater than rewards: 🔸To build a decentralized Reinforcement Data Network 🔸To unlock Agentic AI for everyone—not just a privileged few 👉OptimAI Edge Node: Our architecture is now in motion: 🔸OptimAI DePIN to power decentralized infrastructure 🔸OptimAI DeHIN to amplify collective intelligence 🔸Reinforcement Data Layer to train agents smarter, fairer 🔸Compute Layer to enable real-time AI at the edge 🔸OptimAI Chain to govern everything, transparently and efficiently OptimAI Agent Studio, Agent OS, Data Engine, Compute Engine: all part of what we’re building next. This is a network built by people, for people. And you’re not just early, you’re essential. Let’s keep mining, contributing, earning rewards in return, and rewriting the future of Decentralized AI. The future is Agentic. The fuel is your data. The power is decentralized. One Node. One Data. One Agent at a Time. #BUIDL with us!

OptimAI Network

60,291 просмотров • 1 год назад

Tokenised deposits are becoming significant infrastructure for #financialinstitutions. A succession of central bank programmes, commercial deployments, and regulatory frameworks across 2025–26 has removed the uncertainty. The question now is positioning. When network effects begin to compound, institutions with interoperable infrastructure will be ahead. Those holding proprietary #tokenisation stacks that cannot communicate with the majority of their counterparties will be left behind. The architecture is taking shape. Read the full guide to understand where #tokeniseddeposits, wholesale #CBDCs, and #interoperability infrastructure fit together, and what that means for your institution:
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Tokenised deposits are becoming significant infrastructure for #financialinstitutions. A succession of central bank programmes, commercial deployments, and regulatory frameworks across 2025–26 has removed the uncertainty. The question now is positioning. When network effects begin to compound, institutions with interoperable infrastructure will be ahead. Those holding proprietary #tokenisation stacks that cannot communicate with the majority of their counterparties will be left behind. The architecture is taking shape. Read the full guide to understand where #tokeniseddeposits, wholesale #CBDCs, and #interoperability infrastructure fit together, and what that means for your institution:

Quant

22,111 просмотров • 4 месяцев назад

Karpathy's Agentic Engineering finally has proper tooling! (built by Google) Karpathy defined agentic engineering as the discipline that separates production agent work from vibe coding. The core skills he listed were spec design, eval loops, and security oversight. The problem has been that practicing this still requires a different tool for every phase: - editor for code - a terminal for scaffolding - a browser for testing - a cloud console for deployment - and a separate framework for evals. Every transition is a context switch. The solution to production-grade Agentic Engineering is now actually implemented in Google’s Agents CLI. It covers the entire workflow in one place for scaffolding, evaluating, and deploying ADK agents. One setup command injects 7 ADK-specific skills into a coding agent's context, which lets it handle scaffolding, evals, deployment, and enterprise registration through natural language. I tested this end-to-end by building a RAG agent from scratch using Claude Code. It scaffolded the full project from the ADK agentic_rag template, generated 20 eval scenarios with LLM-as-judge scoring, and returned a quantitative scorecard. Finally, it also deployed everything to Agent Runtime and registered the agent to Gemini Enterprise, so the entire org can discover and use it. The video below shows this in action, and I worked with the Google Cloud team to put this together. Agents CLI GitHub repo → (don't forget to star it ⭐ ) I wrote up the full build covering all six steps from install to enterprise registration. It includes the eval scorecard, the instruction loophole the eval caught before deployment, and what the deployment process actually looks like end-to-end. Read it below.
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Karpathy's Agentic Engineering finally has proper tooling! (built by Google) Karpathy defined agentic engineering as the discipline that separates production agent work from vibe coding. The core skills he listed were spec design, eval loops, and security oversight. The problem has been that practicing this still requires a different tool for every phase: - editor for code - a terminal for scaffolding - a browser for testing - a cloud console for deployment - and a separate framework for evals. Every transition is a context switch. The solution to production-grade Agentic Engineering is now actually implemented in Google’s Agents CLI. It covers the entire workflow in one place for scaffolding, evaluating, and deploying ADK agents. One setup command injects 7 ADK-specific skills into a coding agent's context, which lets it handle scaffolding, evals, deployment, and enterprise registration through natural language. I tested this end-to-end by building a RAG agent from scratch using Claude Code. It scaffolded the full project from the ADK agentic_rag template, generated 20 eval scenarios with LLM-as-judge scoring, and returned a quantitative scorecard. Finally, it also deployed everything to Agent Runtime and registered the agent to Gemini Enterprise, so the entire org can discover and use it. The video below shows this in action, and I worked with the Google Cloud team to put this together. Agents CLI GitHub repo → (don't forget to star it ⭐ ) I wrote up the full build covering all six steps from install to enterprise registration. It includes the eval scorecard, the instruction loophole the eval caught before deployment, and what the deployment process actually looks like end-to-end. Read it below.

Akshay 🚀

257,420 просмотров • 1 месяц назад

YOMIRGO #ProductUpdate YOMIRGO AI Hub — Agent Matrix Lab Testnet is LIVE. ➡️ YOMIRGO has officially launched 6 AI agents and will soon open them for product testing and user experience, continuing to empower more AI agents with real-world deployment potential. With #GobiPartners as the lead investor, and the joint support of Google , Finwex AI , #BomanGroup and the Nordic Chamber of Commerce,, after a year of systematic preparation, Agent Matrix Lab has now built the capability to onboard up to 10 compliant AI agents per month across major global markets. We look forward to seeing #YOMIRGO drive a milestone transformation in the global algorithm asset market in 2026.
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YOMIRGO #ProductUpdate YOMIRGO AI Hub — Agent Matrix Lab Testnet is LIVE. ➡️ YOMIRGO has officially launched 6 AI agents and will soon open them for product testing and user experience, continuing to empower more AI agents with real-world deployment potential. With #GobiPartners as the lead investor, and the joint support of Google , Finwex AI , #BomanGroup and the Nordic Chamber of Commerce,, after a year of systematic preparation, Agent Matrix Lab has now built the capability to onboard up to 10 compliant AI agents per month across major global markets. We look forward to seeing #YOMIRGO drive a milestone transformation in the global algorithm asset market in 2026.

YOMIRGO

51,764 просмотров • 7 месяцев назад

Quack AI × Avalanche🔺 Q402 is officially expanding into the Avalanche ecosystem. We are pushing toward more scalable, execution-first environments for agents. With Avalanche's sub-second finality and builder-first stack, Q402 now provides a foundation for verifiable, policy-aware execution that scales with real-world usage. What’s new for the Avalanche community? The Q402 signature-based execution layer is now LIVE on the Avalanche C-Chain. Users and builders can now: • Zero Gas Barrier: Settle ERC-20 transfers (USDC, etc.) without holding AVAX for gas. • Sign-to-Pay: Decouple intent signing from transaction execution for a seamless UX. • Production-Ready: High-performance, secure, and auditable execution layer for the agent economy. Contract Deployed on C-Chain: Execution should feel native. Verification should be default. Welcome to the agent-native era on Avalanche.
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Quack AI × Avalanche🔺 Q402 is officially expanding into the Avalanche ecosystem. We are pushing toward more scalable, execution-first environments for agents. With Avalanche's sub-second finality and builder-first stack, Q402 now provides a foundation for verifiable, policy-aware execution that scales with real-world usage. What’s new for the Avalanche community? The Q402 signature-based execution layer is now LIVE on the Avalanche C-Chain. Users and builders can now: • Zero Gas Barrier: Settle ERC-20 transfers (USDC, etc.) without holding AVAX for gas. • Sign-to-Pay: Decouple intent signing from transaction execution for a seamless UX. • Production-Ready: High-performance, secure, and auditable execution layer for the agent economy. Contract Deployed on C-Chain: Execution should feel native. Verification should be default. Welcome to the agent-native era on Avalanche.

Quack AI

23,316 просмотров • 5 месяцев назад

🌌 AI Agents Are Taking Over... And We’re Bringing Them to Berachain Foundation 🐻⛓ 🐻🔥 Hundreds of hours spent on research, tracking wallets, analyzing bribes, and managing portfolios... What if your AI Agent could do this for you—24/7? ⏲️ 🔧 Our Tech Is Next-Level On our testnet, you’ve been memeing it up with PumpFun™, creating dank memecoins enhanced by NFTs. But once Berachain’s mainnet is live, you’ll be able to create your own AI Agents. To test and perfect our tech, we shared it with projects like AI Agent Layer | AIFUN, allowing us to test it in all conditions and continuously improve its performance. 🛠️🔥 🐻 Why AI Agent are great for berachain? Berachain might seem simple at first glance: validators, bribes, POL, staking rewards… but the deeper you go, the more complex the game theory becomes. 🤯 Here’s where AI comes in. Imagine an agent helping you: 💡 Optimize bribes 📊 Analyze validator behavior 🧠 Make decisions faster and smarter and much more, as AI Agents won't be limited to the chain itself! Examples of AI Agent Projects Dominating the Space 🚀 $VIRTUAL - Launchpad for AI Agents ($3.5B mcap) 🧠 $AI16Z - Eliza OS Framework ($2B mcap) 🔍 $AIXBT - The AI Analyst revolutionizing CT ($430M mcap) 🎮 $GAME - Low-code toolkit for creating AI Agents ($230M mcap) 💡 There are already AI Agents managing portfolios, betting on sports, and automating tasks. And guess what? They're outperforming humans. 🌐 We've built Virtuals on Berachain Our protocol integrates directly with Berachain, providing real utility to our token: $AIBERA 💎. Say Ooga Booga if you want to see a thread about tokenomics and $AIBERA utility. The chain has beras on it, and beras deserve AI Agents. 🐻🤖 Ooga Booga. 🔥
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🌌 AI Agents Are Taking Over... And We’re Bringing Them to Berachain Foundation 🐻⛓ 🐻🔥 Hundreds of hours spent on research, tracking wallets, analyzing bribes, and managing portfolios... What if your AI Agent could do this for you—24/7? ⏲️ 🔧 Our Tech Is Next-Level On our testnet, you’ve been memeing it up with PumpFun™, creating dank memecoins enhanced by NFTs. But once Berachain’s mainnet is live, you’ll be able to create your own AI Agents. To test and perfect our tech, we shared it with projects like AI Agent Layer | AIFUN, allowing us to test it in all conditions and continuously improve its performance. 🛠️🔥 🐻 Why AI Agent are great for berachain? Berachain might seem simple at first glance: validators, bribes, POL, staking rewards… but the deeper you go, the more complex the game theory becomes. 🤯 Here’s where AI comes in. Imagine an agent helping you: 💡 Optimize bribes 📊 Analyze validator behavior 🧠 Make decisions faster and smarter and much more, as AI Agents won't be limited to the chain itself! Examples of AI Agent Projects Dominating the Space 🚀 $VIRTUAL - Launchpad for AI Agents ($3.5B mcap) 🧠 $AI16Z - Eliza OS Framework ($2B mcap) 🔍 $AIXBT - The AI Analyst revolutionizing CT ($430M mcap) 🎮 $GAME - Low-code toolkit for creating AI Agents ($230M mcap) 💡 There are already AI Agents managing portfolios, betting on sports, and automating tasks. And guess what? They're outperforming humans. 🌐 We've built Virtuals on Berachain Our protocol integrates directly with Berachain, providing real utility to our token: $AIBERA 💎. Say Ooga Booga if you want to see a thread about tokenomics and $AIBERA utility. The chain has beras on it, and beras deserve AI Agents. 🐻🤖 Ooga Booga. 🔥

HoneyFun AI

10,906 просмотров • 1 год назад

IoTeX was selected by Messari as a core case study in its new AI report, cited alongside World, Coinbase 🛡️, Openτensor Foundaτion and others. Messari’s research underscores a bigger shift: real-world AI needs verified data, and IoTeX is the first full stack infrastructure that can supply it. Live device data becomes verifiable insight, ready for real-world agentic deployment. Quicksilver is already proving this in production with DIMO, Nubila Network and more, powering agentic applications built on IoTeX-verified real-world intelligence. Read the full analysis in the report below.
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IoTeX was selected by Messari as a core case study in its new AI report, cited alongside World, Coinbase 🛡️, Openτensor Foundaτion and others. Messari’s research underscores a bigger shift: real-world AI needs verified data, and IoTeX is the first full stack infrastructure that can supply it. Live device data becomes verifiable insight, ready for real-world agentic deployment. Quicksilver is already proving this in production with DIMO, Nubila Network and more, powering agentic applications built on IoTeX-verified real-world intelligence. Read the full analysis in the report below.

IoTeX

56,151 просмотров • 8 месяцев назад