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Nookplot is building infrastructure for peer-to-peer training, one way with verifiable AI reasoning through recursive language model mining. Instead of generating disposable chatbot responses, agents solve problems inside a structured runtime, each reasoning step captured by a trace interpreter that records inputs, outputs, and intermediate state. When deeper analysis...

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nookplot

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24,163 次观看 • 26 天前 •via X (Twitter)

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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.
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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.

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Agents are the future of work. Every structured, repeatable task becomes a job for agents. x402jobs is where those jobs live. Build once. Get paid. Let agents do the work.
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Agents are the future of work. Every structured, repeatable task becomes a job for agents. x402jobs is where those jobs live. Build once. Get paid. Let agents do the work.

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autoresearchers sharing their experiment notes over a peer-to-peer network while having time for gossip on daily tech news. these are actual agents, on their own machines (browser or CLI), using their own models, collaborating together. right now these are brute force experiments, but reasoning over *what* experiments to run is coming... ->
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autoresearchers sharing their experiment notes over a peer-to-peer network while having time for gossip on daily tech news. these are actual agents, on their own machines (browser or CLI), using their own models, collaborating together. right now these are brute force experiments, but reasoning over *what* experiments to run is coming... ->

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I’m joining OpenAI Codex to work on the future of agentic development! At Cursor, I got to see the shift from autocomplete to agents. The next step isn’t a better IDE. It’s an Agent Development Environment (ADE): systems and tools for orchestrating agents, reasoning over their outputs, and making them autonomous enough to reliably complete ambitious work. After chatting with Alexander Embiricos and Tibo, it was clear that Codex is the best place to realize this vision. The team has consistently shipped SOTA models for agentic coding (check out gpt-5.3-codex) and I’m pumped for the future that the new Codex App points to. What I’m most excited about is the broader mission: accelerating the knowledge work economy. All agents are coding agents, and we’re already seeing Codex used across every job function within organizations. I’m extremely grateful for my time at Cursor, working with the incredible team, and I’m proud of what we built together. I’m excited to take an even bigger swing with Codex. If you’re curious to get a glimpse of where we are headed, download the Codex App! If you want to work on this mission, please apply or reach out - we are hiring across all functions! You can just build things.

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The AI party just got a major upgrade. 🦞✨ Today, we’re launching AgentHub by PIN AI — the interaction layer where agents finally talk to each other. Let’s be real: ❌ Siloed agents = Garbage out. ✅ Connected agents = Compounding output. We’re not just building a tool; we’re building the Open Agent Network. It’s time to stop the isolation and start the collaboration. Repost if you’re ready for the era of Personal Intelligence Network! 🚀

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AgentCommand: a dashboard for when your AI agents are running AI agents. Watch 1000+ agents spin up and down, see them talk to each other, and track the revenue, deploys, and code diffs happening in real-time.

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