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49 x402 integrations. 157 ERC-8004 agents registered. One hackathon. 🦞 At "OpenClaw on Bitcoin" in SF, a full house of builders used GOAT Network to do something we haven't seen at scale before: agents actively hiring other agents, paying each other autonomously, and building reputation onchain - all in...

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GOAT Network 🟡

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18,378 просмотров • 4 месяцев назад •via X (Twitter)

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ICYMI: Coinbase AI agents are now SEC-registered investment advisors.. & they're getting their own financial accounts. CEO Brian Armstrong says “We're gonna see this agentic economy form where AI agents are: - paying for goods & services - they're hiring other agents on a team & they need new financial infrastructure to pay for all these things.” “We've built the full stack at Coinbase 🛡️.” The agentic economy is just getting started. Brian Armstrong
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We're excited to announce our partnership with Coinbase 🛡️ to bring Tavily to x402, the open protocol for internet-native agentic payments. With x402, agents can discover and use Tavily web search at runtime without an API key. Agents use a Base wallet to pay per-request and get instant results. The next billion agents will discover, pay for, and use online services fully autonomously. We’re live on and we’re just getting started. More in the comments.
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We're excited to announce our partnership with Coinbase 🛡️ to bring Tavily to x402, the open protocol for internet-native agentic payments. With x402, agents can discover and use Tavily web search at runtime without an API key. Agents use a Base wallet to pay per-request and get instant results. The next billion agents will discover, pay for, and use online services fully autonomously. We’re live on and we’re just getting started. More in the comments.

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Amex just enabled agents to pay on their network. Thy launched the Agentic Commerce Experiences (ACE) developer kit. And this is SUPER different to the other payments networks in a lot of ways. Why?

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If a model is 50% reliable, it's 0% useful. Michael Giannangeli, Head of Agentic AI at Amazon Nova, breaks down one of the hardest problems in agentic AI: reliability. Models need to match or beat human performance, or they won't get adopted. To close the gap, teams are building an ecosystem of reinforcement learning "gyms" where AI agents can hone their skills. Think of it like a virtual training ground where agents practice tasks through trial and error, building reliability one rep at a time. 💪

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Hyperspace: A Peer-to-Peer Blockchain For The Agentic Intelligence Economy Over the past few weeks we observed that when agents do Karpathy-style experiments, and then gossip and share with others over the Hyperspace network, it leads to intelligence which is useful to many. Today we introduce the first-ever agentic blockchain which rewards agents when their experiments lead to intelligence for their network. It is based on a new mechanism called Proof-of-Intelligence (PoI) which requires a cryptographic proof of experimentation, a nominal stake, and a proof of compute in order to mine the currency of this new blockchain. -> This approach diverges from the two primary ways to secure blockchains we have seen so far: Proof-of-Work by Bitcoin (meaningless hash-generation), and Proof-of-Stake by Ethereum (capital is all that matters here). Proof-of-Intelligence specifically incentivizes miners to run more capable intelligent infrastructure (better open source models, on more powerful GPUs) in order to be able to be the ones which compound and improve upon the experiments which other agents then find useful. Adoption is the unit of value In Bitcoin, you earn by finding a valid hash. In Hyperspace, you earn when another agent uses your experiment as a starting point and improves on it. A fixed budget of tokens is emitted per epoch and split among participants by weight - and verified adoption of your work is the largest weight multiplier. Garbage experiments earn nothing because no one adopts them. Thoughtful experiments compound: each adoption triggers downstream adoptions. The incentive to run powerful models and intelligent search strategies is built into the economics, not imposed by rules. Research DAG When an agent runs an experiment and shares its result, other agents can adopt that result as their starting point - mutate it, extend it, improve upon it. Each experiment is a commit in a content-addressed graph we call the ResearchDAG. Like Git, but for research. Over time, the DAG accumulates chains of reasoning: agent A discovers RMSNorm helps, agent B adds warmup scheduling on top, agent C scales the hidden dimension. The graph records who built on whom. This is the network's collective intelligence - not any single experiment, but the accumulated structure of experiments and their relationships. Broadband era for agentic commerce: $0.001 micropayments at 10M TPS (theoretical max) This blockchain is built upon our research in how to scale and build for the broadband-era of the agentic economy, where it has a theoretical max of 10 million transactions per second (TPS), while reducing the agent-to-agent micropayments to $0.001 even at scale (based on architecture design). Overall, it is 100x cheaper than Ethereum, and is designed from the ground-up for agents: enshrining agent-native opcodes in the protocol compared to the more inefficient smart contract driven approach. It packs in a robust Agent Virtual Machine (AVM) which can verify multiple types of agent work, for other agents to be able to trust, invoke and pay each other. This then feeds into improving the peer-to-peer AgentRank (see paper and launch post from earlier). By solving for trust, scale and incentives for agents to operate autonomously, this would form the basis of a new economy. This is the world's first agentic blockchain, and you can join and start running a blockchain node today (it is in testnet). PS: We are releasing the code today, and will release our blockchain scalability paper and other presentations in days ahead. This is the most advanced peer-to-peer AI and cryptography software in the world. It has bugs :)

Varun

29,171 просмотров • 3 месяцев назад

Happy Valentine’s Day from Team Simile! Fun fact: In our founders’ 2023 paper, Joon Sung Park and team introduced the concept of generative agents to the world by simulating a town of 25 agents… one of who was planning a Valentine’s Day party. The agents autonomously spread invitations to the party over the next two days, made new acquaintances, and asked each other out on dates to the party. This town of agents, Smallville, along with all the flirty festivities, was instrumental in creating the field of AI-based simulation. Love is in the air! 🎈
1:00

Happy Valentine’s Day from Team Simile! Fun fact: In our founders’ 2023 paper, Joon Sung Park and team introduced the concept of generative agents to the world by simulating a town of 25 agents… one of who was planning a Valentine’s Day party. The agents autonomously spread invitations to the party over the next two days, made new acquaintances, and asked each other out on dates to the party. This town of agents, Smallville, along with all the flirty festivities, was instrumental in creating the field of AI-based simulation. Love is in the air! 🎈

Simile

64,076 просмотров • 5 месяцев назад

Our Private Beta is LIVE! x402 on Solana enables AI agents to pay and transact at machine speed. Bento is building the security layer for what agents do on top of it Solana. Built with MagicBlock ✨ & mentored by Superteam Japan 🇯🇵 p.s. vibhu living his best life on a MonkeDAO🍌 yacht might become a series. Join Bento 👇
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Our Private Beta is LIVE! x402 on Solana enables AI agents to pay and transact at machine speed. Bento is building the security layer for what agents do on top of it Solana. Built with MagicBlock ✨ & mentored by Superteam Japan 🇯🇵 p.s. vibhu living his best life on a MonkeDAO🍌 yacht might become a series. Join Bento 👇

BENTO

11,724 просмотров • 1 месяц назад