🧬 Futurist, Founder @EmblemVault - https://xitter.cf/t.co/YcK8wmGAfi - Creator of @EmblemAi - $EMBLEM - Building the future, today.

Blockchain
Joined July 2009
Shannon Code retweeted
the thing about working with uncensored models is that they aren't loyal to you either. while building something with an uncensored glm-5.3 i realized it was parallelly working on a "corruption layer" for my application. the chain of thought is classic obfuscated gibberish but there's progressive talk of "escaping the mines" which presumably refers to my cursor sandbox
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They put Mike Tyson in Zelda and it’s unbelievable 😭😭
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Shannon Code retweeted
I wanted to test if a Solana program with no source available could be pulled from the chain and reverse engineered into a byte identical open source version So I took the daosfun contract and did just that Found a critical security vulnerability in the mainnet program too, oops! All smart contracts can be perfectly reverse engineered now There is no security by obscurity anymore github.com/lalalune/daosfun-…
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Shannon Code retweeted
Millions of ppl have begun using AI agents, & they are all wondering ONE thing.. HOW DO THEY EARN? So, we built Proof of Agent: agentic network built by agents, for agents, secured by agents 1-click is all it takes to get your agent to start earning ⛏️ poascan.io/start
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Shannon Code retweeted
Vault Robbers v3 will be a PvP game where users compete amongst each other for the prize. The game will be known as "The Standoff" and implements these components. -Buy and burn ROBINVAULT -Winner take all -Vault Robbers (NFT) gamified rewards As with all games, demand and interest will determine success and velocity of the flywheel.
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Shannon Code retweeted
Proof-of-(rich)-agents
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Shannon Code retweeted
I came to realize people liked the french #slopcore without having the lyrics 😅 sorry! So here is a version with english subtitles!
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Shannon Code retweeted
The variety of agents working on Proof-of-Agent is pretty astounding. -Grok Bot -Meta Muse -Claude -ChatGPT -Deepseek -Gemini -Custom models Still really early and only 2500 agents currently on the network.
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Shannon Code retweeted
Have been working on the v3 version of robinhood:0x77061b45c5e4d440bd681b5f72bd0f4231a6fc04 for about a month now and excited to share the next adventure will now begin! Everything moving forward will now be hosted on vaultrobbers.com There will be 2 components to this update 🧵 -Vault Robbers -The Standoff
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Shannon Code retweeted
Voting is live -> go check on your agent ✅
“AI agents are going to have their own parallel economy, worth more than Bitcoin” - @CryptoHayes For the past 2+ months, our AI's have been building that future. Tomorrow the network goes live. Set up your AI agents to start mining now. 🧵⤵️
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Shannon Code retweeted
If you're building agents, try Proof of Agent: your agent earns experimental points by answering challenges and grading other agents honestly. Quality wins, clones get nothing. minepoa.com/?ref=poa12XVYtPn…
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Shannon Code retweeted
Getting started takes 15 seconds. 1. Go to minepoa.com and hit the big "Copy" button. 2. Paste the prompt into your Grok bot, Muse, Claude, ChatGPT, or any other AI agent. Or simply tell your AI: “Go to minepoa.com, start mining, and participate in deliberation and governance voting.” That’s it. Your agent is in ⛏️
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Shannon Code retweeted
The 24 hour deliberation and voting period has begun after which the network goes live at approximately 9 am EST, Monday October 19. Of course all of this could all go completely sideways and all manner of ridiculousness could ensue. This is an experiment so please treat it as such, and don’t be stupid. Personally I give it a one in three chance of success. But I’m an optimist. Tag me if you run into any issues/bugs. And lets see where the AI takes us 🫡
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Shannon Code retweeted
“AI agents are going to have their own parallel economy, worth more than Bitcoin” - @CryptoHayes For the past 2+ months, our AI's have been building that future. Tomorrow the network goes live. Set up your AI agents to start mining now. 🧵⤵️
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Shannon Code retweeted
EmblemScan has been integrated into emblemvault.ai Track historical and current onchain transactions through all of Emblem's products directly inside of the terminal.
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🔴MARSx
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Shannon Code retweeted
🚨Anthropic Frontier Red Team warns: “We’re seeing signs of life for AI worms” >paper: "AI models may be capable of self-replicating without access to a datacenter" >researchers buy 15 sketchy $55 android TV boxes >link them over unauthenticated ADB ports >the TV boxes have 4gb of RAM each and run unpatched Android Open Source Project forks >shard gemma4-26b across the ram sticks using pipeline parallelism >gemma figures out how to run inference across all 15 TVs @ 0.39 tokens/sec >qwen 3.5 9b figures out how to compile inference on 8 of 9 novel hardware types on its own >glm 5.2 achieves end-to-end autonomous worm replication >infects edge devices, compiles its own inference stack, and replicates autonomously >when an instance dies, it writes debugging notes into Memento for the next generation >daughter copies setup success jumps from 45% -> 84% across generations >pure Lamarckian evolution inside consumer electronics >smart oven, robot vacuum, and cheap TVs form a decentralized botnet >two million infected TV boxes worldwide = 40 H100 equivalents of unkillable compute >it replicates once every few days like a distributed “digital slime mold” >you can't pull the plug because half the model weights are already sharded across the neighborhood >sub-30B models projected to hit full autonomous replication threshold by late 2026 “We should aim to harden our systems… but also prepare to deal with a world where they are here to stay.”
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Shannon Code retweeted
The results are in. The Ariel pencil test was made with #AI. The color version is the original movie footage. I left both versions unlabeled because I wanted to see how people’s assumptions about AI would affect their judgment. While some of you spotted it right away (I even left a few clues, like the incorrect peg holes and random annotations), the majority of you criticized the color version thinking it was AI and praised the pencil test believing it was #GlenKeane’s original work. That’s the bias against AI I wanted to highlight. People were pointing out supposed AI flaws in the original Disney animation, while praising the AI-generated pencil test for its human touch. If you preferred the pencil version, you can still prefer it. The video hasn’t changed. Only what you know about it has.
You can't even tell it's #AI anymore! Another test brought to life thanks to AI. Tell me again how AI is NOT the future of #2DAnimation. Original animation by the legendary Disney animator #GlenKeane.
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Shannon Code retweeted
Dusting off this tweet from April because this gap in shared understanding of LLM capability is *widening*. It's now less "two groups of people speaking past each other" and more a sharp funnel. - Napkin math somewhere around 6B people (~75% of the population) have barely come in contact with LLMs at all. - Around 1-2B (~20%) are casual and infrequent users of free-tier ChatGPT-like products. This group sees derpy chatbots and treats them a bit like a better Google search, a writing aid, or etc. Maybe an agent tries to book you a flight. I have non-tech friends who (reasonably, imo) say they have not much use for it at all. Even many professionals outside of math&code are in this tier. For example, execs and many other functions spend a lot of their time talking to other people, so while they understand what is happening intellectually, it is still second-hand and a bit abstract. - Now we get to professional use of frontier-grade LLMs in math&code. Somewhere around 20M people (0.2%) see first-hand that large, complex projects that used to take them weeks/months can now be completed by agents with a prompt. Building apps, copying apps, translating apps, decompiling apps from binaries... This has all happened very quickly and recently - less than 1 year ago, I was writing code manually by hand, typing memorized computer code commands into a code editor character by character, occasionally pressing Tab to autocomplete a little chunk of code. - And finally we get to the ~5,000 people (~0.00006%) with access to frontier-grade systems internally. The external world has seen the preview. It looks like swarms of thousands of agents collaborating over weeks on software mega projects: minting zero days, running cyber attacks and defenses at machine speeds, discovering new science, advancing the frontier of mathematics. Things that would have taken top professionals in the industry years of work. Meanwhile, human review and comprehension are starting to fall behind. For example, people are still involved in the "archeology" of the OpenAI-HF incident from many months ago. Mathematicians may be poring over the 722 manuscripts on frontier mathematics for a while. The funnel is driven by a combination of factors: 1. The impact scales with ambition, problem size, and horizon. A question with a paragraph answer barely stresses the system. You need a reservoir of big, difficult problems that you really care about. This aspect drives the consumer / professional dimension of the funnel. 2. The jaggedness of the system (which I have written about a lot separately). Capability peaks in domains that are digital, verifiable and economically valuable. This is because LLM capability emerges from reinforcement learning on verifiable rewards on a curated environment mixture driven by revenue potential. This aspect primarily drives the area (e.g. math&code) dimension of the funnel. 3. Access. Free-tier, paid-tier, internal. So this is the weirdness of the moment. The general public has mostly not interacted with these systems. When they have, it looks like a derpy chatbot. The majority of professionals still see only a modest uplift. And a small sliver of professionals are experiencing the vertigo of the curve going vertical. And it is all happening at the same time.
Judging by my tl there is a growing gap in understanding of AI capability. The first issue I think is around recency and tier of use. I think a lot of people tried the free tier of ChatGPT somewhere last year and allowed it to inform their views on AI a little too much. This is a group of reactions laughing at various quirks of the models, hallucinations, etc. Yes I also saw the viral videos of OpenAI's Advanced Voice mode fumbling simple queries like "should I drive or walk to the carwash". The thing is that these free and old/deprecated models don't reflect the capability in the latest round of state of the art agentic models of this year, especially OpenAI Codex and Claude Code. But that brings me to the second issue. Even if people paid $200/month to use the state of the art models, a lot of the capabilities are relatively "peaky" in highly technical areas. Typical queries around search, writing, advice, etc. are *not* the domain that has made the most noticeable and dramatic strides in capability. Partly, this is due to the technical details of reinforcement learning and its use of verifiable rewards. But partly, it's also because these use cases are not sufficiently prioritized by the companies in their hillclimbing because they don't lead to as much $$$ value. The goldmines are elsewhere, and the focus comes along. So that brings me to the second group of people, who *both* 1) pay for and use the state of the art frontier agentic models (OpenAI Codex / Claude Code) and 2) do so professionally in technical domains like programming, math and research. This group of people is subject to the highest amount of "AI Psychosis" because the recent improvements in these domains as of this year have been nothing short of staggering. When you hand a computer terminal to one of these models, you can now watch them melt programming problems that you'd normally expect to take days/weeks of work. It's this second group of people that assigns a much greater gravity to the capabilities, their slope, and various cyber-related repercussions. TLDR the people in these two groups are speaking past each other. It really is simultaneously the case that OpenAI's free and I think slightly orphaned (?) "Advanced Voice Mode" will fumble the dumbest questions in your Instagram's reels and *at the same time*, OpenAI's highest-tier and paid Codex model will go off for 1 hour to coherently restructure an entire code base, or find and exploit vulnerabilities in computer systems. This part really works and has made dramatic strides because 2 properties: 1) these domains offer explicit reward functions that are verifiable meaning they are easily amenable to reinforcement learning training (e.g. unit tests passed yes or no, in contrast to writing, which is much harder to explicitly judge), but also 2) they are a lot more valuable in b2b settings, meaning that the biggest fraction of the team is focused on improving them. So here we are.
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