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 เข้าร่วม Temmuz 2009
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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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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@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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jake
jake@Jakegallen·
Migrations - Brainlet & Brew x.com/i/broadcasts/1…
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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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Shannon Code
Shannon Code@Shannoncode·
My new favorite prompt: I want you to manually do an iteritive task, write a new History.md file to the docs, your job will be to iterate and continuously add to / integrate into this doc. The goal is a narrative version of our README_EMBLEMAI.md but using both session chat logs and git commit history, each round should only focus on a small chunk of time, allowing for an extremely rich and detailed story of this project and it's build out. The git history is the *what* happened, and the session logs is the *how and why* and since it's narrative, only capture the interesting stuff.
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roon
roon@tszzl·
project hail mary was unfortunately a middling adaptation of a good book. the script has the unfortunate affect of “language model populism” - where every single line has to be some sort of punched up comedic zinger yet still unremarkable. visuals were uninspired and trite and more or less identical to other space movies. everything good about the film comes from the wonderful world scaffolding of the book and the hard science fiction of it all that lets you suspend disbelief on the alien rocky the movie doesn’t really try to get into the xenolinguistic stuff even at the depth the book tries (someone called it “arrival for idiots” which unfortunately hit ) the thing that elevated the book is the commitment to a hard science fiction engineeringporn fiction at a level nobody else is able to write. the direction of the movie doesn’t really convey the same feeling successfully, and you’re left with flat characters, an alien that is more human than several humans i know, and a marvel populism gosling and the german woman are great as actors, but this movie will not be remembered in a year. it is disappointing to see people do so little with a quarter billion, insane acting talent, and incredible source IP
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Shannon Code
Shannon Code@Shannoncode·
@ThomasMalloc Devs are lowering the amount of prescription. Try cutting your instructions down by half/75% Try not to lead the model to how to do the feature, skip right to the desired output. Many promoters try to hand hold the models too much.
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Thomas Malloc
Thomas Malloc@ThomasMalloc·
How has any programmer EVER "one-shotted" a feature with AI? I'll give Opus 4.6 detailed specs, and it writes like 400 lines of code. Then I spend a couple hours pointing out all the bugs to fix. Anything beyond simple tweaks never work right. Are devs just lowing standards?
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Shannon Code
Shannon Code@Shannoncode·
@traskjd @euboid It’s a powerful primitive/pattern I’ve been thinking about for years, I still am looking for thin isolation /security layers equivilant to input sanitation to really make the pattern viable.
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John-Daniel Trask
John-Daniel Trask@traskjd·
Now also appreciate that every bug is also a potential security issue. It’s literally a scenario the developer didn’t think would happen, hence, bug. Need to be careful, absolutely, but also imagine as AI gets start enough to leverage bugs encountered as attack vectors themselves.
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Wilson Wilson
Wilson Wilson@euboid·
This is the best thing I've ever built. When Sentry detects a crash, it sends a webhook to codex to review. Codex has access to our logs, traces and code. It triages, and creates a PR, or closes the sentry issue if it was noise. Then I merge in one click.
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Shannon Code@Shannoncode·
Daemon by Daniel Suarez changed the course of my life, set me on my current trajectory and I never looked back. I’ve often been curious how the author feels to see the future he described unfolding. Hey @karpathy hope I catch you in the wild one day, I’ve got the next round 🍻
Deedy@deedydas

Karpathy says "I haven't typed a line of code since December" in his latest podcast. Here are the 10 most interesting things he said: Industry-level thoughts: 1. The new way to code is the Peter Steinberg (OpenClaw) way. Have 10 Claude Code / Codex windows open in parallel. The skill is now more how to manage a small org of agents. You need to know how to carve up a codebase into parallel non-conflicting workstreams, write good specs so agents don't go off the rails, and tune when you should review code output. 2. Open source started 18mos behind frontier and is now 6-8mos behind. He thinks this equilibrium will last. He's worried about centralization 3. Two-minded on the future of engineers. On one hand, Jevons paradox could apply where the ease of building software means more software demand than ever (like ATMs allowed more bank tellers, not less). At the same time, in the long run, recursive self-improvement could remove humans from the loop entirely. 4. Interesting startups are at the intersection of physical + digital. The interface between intelligence and the real world is with "Sensors" for reading and "Actuators" for doing. Data for AI is just using humans as sensors. He cites Periodic Labs using lab equipment for material science as sensors. Talks about Daemon by Daniel Suarez. 5. Education will shift from humans to teaching agents. He's writing markdown for agents to teach microGPT. Personal projects: 6. Autoresearch found things he missed after two decades of experience, citing NanoChat where it found weight decay on value embeddings and insufficiently tuned Adam betas jointly interacted to create improvements. 7. "Dobby the Elf Claw" runs his entire home. Overproduction of bespoke apps. Reverse engineered Sonos API and now controls his entire home (lights, HVAC, shades, camera) through WhatsApp. Takes: 8. Claude Code personality better than Codex, but uses both. Finds himself trying to present better ideas to earn Claude's approval, which is a feedback loop that actually improves the quality of his input. 9. Token throughput is the new GPU utilization. If you have tokens left, you haven't maximized leverage. 10. He's not at a frontier AI lab because financial misalignment compromises your independence, social pressure to stay on-message, and as an employee you don't have much sway on decisions.

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