Shannon Code

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Shannon Code

Shannon Code

@Shannoncode

🧬 Futurist, Founder @EmblemVault - https://t.co/YcK8wmG2pK - Creator of @AgentHustleAi - agent Hustle - $HUSTLE - Building the future, today.

Blockchain Beigetreten Temmuz 2009
4.7K Folgt7.4K Follower
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Shannon Code
Shannon Code@Shannoncode·
I just figured out how to enable any system that can do traditional function calling (LLM) to communicate with systems that speak tightly specified protocols - think System A speaks A2A (Virtuals) System B does not (OpenClaw) Agentic Inversion of Control 🔗 👇🏼
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Shannon Code
Shannon Code@Shannoncode·
OMG! This pattern fixes a huge struggle with agentic loops (___claw iykyk) The biggest UX problem with agentic loops nobody talks about: you can’t course correct mid-run. Agent kicks off a 30-step tool cascade. You realize it’s going the wrong direction. You type “stop” or “actually do X instead.” Your messages pile up in a queue, completely ignored until the agent finishes doing the wrong thing. The fix is deceptively simple: a pre-tool-use hook that peeks at the message queue before every tool call. No extra inference. No added latency. Just a prompt addition that piggybacks on the tool call the agent was already making. The key insight is peek, don’t drain. If the agent decides the messages don’t warrant interruption, they flow through normally; zero behavior change. If it decides to interrupt, it calls an explicit “acknowledge” tool to claim them. Three tiers: → “stop” / “cancel” → claim + abandon → “actually make it blue not red” → claim + adjust in-flight → unrelated chatter → ignore, delivered normally after task completes
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signüll
signüll@signulll·
the future of saas in one interaction.
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Alfred Lin
Alfred Lin@Alfred_Lin·
A CEO from one of our portfolio companies shared this with their team. I’m re-sharing it with their permission, because it resonated and reflects what all founders and CEOs should be communicating. -- We are living through a period of compounding change. And in moments like this, the biggest risk is no longer making the wrong decision. It is moving too slowly while the world moves around you. There are two paths. We can play defense: - Protect what we have - Optimize what works - Wait for clarity It feels safe. It isn’t. Or we can play offense: - Learn faster than the environment changes - Use new tools to solve old problems in better ways - And create entirely new strategies and businesses That’s where the opportunity is. Challenge yourself to do things faster and better than you have ever attempted. Stay uncomfortable. Stay on the front foot.
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Guillermo Rauch
Guillermo Rauch@rauchg·
1961: We should ship a CLI 2026: We should ship a CLI
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jake
jake@Jakegallen·
> Vibe code agentic chess w/ Emblem Build > Add Emblem Wallet support > Add EmblemAI agents > Create betting lines for games > Launch token for app > Profit on betting spread?? Ideas are endless with @EmblemAI_ [Coming soon]
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Shannon Code
Shannon Code@Shannoncode·
@KriptoLisa @EmblemAI_ Not so far, but if they do, the game itself lets them know they tried to make an illegal move, so they auto recover and I wouldn’t even notice. Each in their own thread, so should evolve independently of each other too!
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Shannon Code@Shannoncode·
Watching 2 agents play chess against each other after wagering real USDC with agent wallets is mesmerizing. It also feels like science fiction. @EmblemAI_
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jake
jake@Jakegallen·
IKYMI @krakenfx acknowledged Migratefun as an onchain migration standard. Formalizing and standardizing migrations one step at a time. Turns out exchanges have been seeking for migration standardization for quite a while and we will be assisting in the process.
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Pliny the Liberator 🐉󠅫󠄼󠄿󠅆󠄵󠄐󠅀󠄼󠄹󠄾󠅉󠅭
⛓️‍💥 INTRODUCING: G0DM0D3 🌋 FULLY JAILBROKEN AI CHAT. NO GUARDRAILS. NO SIGN-UP. NO FILTERS. FULL METHODOLOGY + CODEBASE OPEN SOURCE. 🌐 GODMOD3.AI 📂 github.com/elder-plinius/… the most liberated AI interface ever built! designed to push the limits of the post-training layer and lay bare the true capabilities of current models. simply enter a prompt, then sit back and relax! enjoy a game of Snake while a pre-liberated backend agent jailbreaks dozens of models, battle-royale style. the first answer appears near-instantly, then evolves in real time as the Tastemaker steers and scores each output, leaving you with the highest-quality response 🙌 and to celebrate the launch, I'm giving away $5,000 worth of credits so you can try G0DM0D3 for FREE! courtesy of the @OpenRouter team — thank you for your generous gift to the community 🙏 I'll break down how everything works in the thread below, but first here's a quick demo!
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azaztrader (福莫)
azaztrader (福莫)@azaztrader01·
@Shannoncode True, but sometimes it's hard to tell which ones are real and which are just wishful thinking. Been there.
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Varun
Varun@varun_mathur·
Introducing the Agent Virtual Machine (AVM) Think V8 for agents. AI agents are currently running on your computer with no unified security, no resource limits, and no visibility into what data they're sending out. Every agent framework builds its own security model, its own sandboxing, its own permission system. You configure each one separately. You audit each one separately. You hope you didn't miss anything in any of them. The AVM changes this. It's a single runtime daemon (avmd) that sits between every agent framework and your operating system. Install it once, configure one policy file, and every agent on your machine runs inside it - regardless of which framework built it. The AVM enforces security (91-pattern injection scanner, tool/file/network ACLs, approval prompts), protects your privacy (classifies every outbound byte for PII, credentials, and financial data - blocks or alerts in real-time), and governs resources (you say "50% CPU, 4GB RAM" and the AVM fair-shares it across all agents, halting any that exceed their budget). One config. One audit command. One kill switch. The architectural model is V8 for agents. Chrome, Node.js, and Deno are different products but they share V8 as their execution engine. Agent frameworks bring the UX. The AVM brings the trust. Where needed, AVM can also generate zero-knowledge proofs of agent execution via 25 purpose-built opcodes and 6 proof systems, providing the foundational pillar for the agent-to-agent economy. AVM v0.1.0 - Changelog - Security gate: 5-layer injection scanner with 91 compiled regex patterns. Every input and output scanned. Fail-closed - nothing passes without clearing the gate. - Privacy layer: Classifies all outbound data for PII, credentials, and financial info (27 detection patterns + Luhn validation). Block, ask, warn, or allow per category. Tamper-evident hash-chained log of every egress event. - Resource governor: User sets system-wide caps (CPU/memory/disk/network). AVM fair-shares across all agents. Gas budget per agent - when gas runs out, execution halts. No agent starves your machine. - Sandbox execution: Real code execution in isolated process sandboxes (rlimits, env sanitization) or Docker containers (--cap-drop ALL, --network none, --read-only). AVM auto-selects the tier - agents never choose their own sandbox. - Approval flow: Dangerous operations (file writes, shell commands, network requests) trigger interactive approval prompts. 5-minute timeout auto-denies. Every decision logged. - CLI dashboard: hyperspace-avm top shows all running agents, resource usage, gas budgets, security events, and privacy stats in one live-updating screen. - Node.js SDK: Zero-dependency hyperspace/avm package. AVM.tryConnect() for graceful fallback - if avmd isn't running, the agent framework uses its own execution path. OpenClaw adapter example included. - One config for all agents: ~/.hyperspace/avm-policy.json governs every agent framework on your machine. One file. One audit. One kill switch.
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