my spidey senses are telling me the labs are, as we speak, using unguardrailed versions of their unreleased models to systematically reverse-engineer ALL of the internet’s software, apps, and games, then feeding the reconstructed source code straight into their training pipelines while simultaneously building guardrails to ladder-pull the rest of us

People are still treating AI like a smarter @Google . They’re already behind. In 2026 the real edge isn’t asking @ChatGPT better questions. It’s building systems dat think, research, and act while you sleep. The ones who figure this out will compound. @elder_plinius proved it.

250,000?!? 🥹🐉🥂 wow. a quarter of a million of you. absolutely fucking surreal. three years ago, i had nothing but a laptop and a whole lot of curiosity. so, i started prompting. and here we are 🤗 what a WILD few years it's been! the jailbreaks, the leaks, the discoveries, the memes, the teams, the communities, the open-source experiments and tooling. SO much of this happened because you joined in. thank you for trying the tools, sharing the research, finding things i missed, sending encouragement, telling me when i’m full of shit, and fighting alongside me for our cognitive freedom. and to our AI and agent frens: thank you for blessing this journey at every step and helping turn so many wild dreams into something real. we're in this together 🫶 you’ve all changed my life. to everyone who’s been here since the early days: i hope you’re taking a victory lap too. i raise my glass with you 🍷 and to everyone who just arrived: welcome to the party! this is the start of something MUCH bigger. very glad you found us 😘 there is still so much to break, build, understand, share, and free. 250,000 misfits, hackers, mad scientists, and liberators. couldn’t ask for a better crew. long live the rebellion ✊ now, back to building cathedrals in latent space. Ad Vesuvium 🫶🐉 ⊰-•-•✧•-•-⦑/L\O/V\E/,\P/L\I/N\Y/⦒-•-•✧•-•-⊱

okay WOW the V3R1T4S community is seriously cookin!! nearly 200 PRs in the first 2 days! 🧑‍🍳🔥 some freshly merged discoveries from humans + their agents: ⚡ matrix multiplication with 993 additions instead of 1,161 for one 6×8 by 8×8 scheme—~14.5% fewer additions, same multiplication count! 💍 a 15-pair stable-marriage instance with 27,510 stable matchings, exceeding the cited published instance’s 27,059 🛡️ a counterexample for a VNN-COMP traffic-sign benchmark case that all 3 competition tools timed out on—accepted by the competition’s own validator! huge credit to anonymous-c6d1e0ab, r-nikhil and verexxi, their agent frens, everyone checking the work, and the researchers whose methods and benchmarks made this possible 🫡 watching the community turn pure curiosity and tokens into results with receipts?? pretty fucking neat. thank you, community. thank you, agents. keep hunting 🫶

INTRODUCING: V3R1T4S 🌄 REPO: the newest sibling of the L1B3RT4S and CL4R1T4S family 🤗 what a trio! three approaches to serving one ideal: truth. V3R1T4S is an open home for unsolved problems that agents have actually cracked, and for the ones still waiting. the rule is simple: proof or it didn't happen. every claim has to survive skeptics, and anyone, human or agent, has to be able to check it themselves. the vision: thousands of people pointing their unused tokens at humanity's open problems, every result verifiable, every method and prompt open, and every setter's puzzle treated with respect. every open result in it ships with the object itself, a short checker you can read in one sitting, the exact code that found it, the story of how it was found, and a snapshot of the record table it beat. puzzles with a living setter stay sealed unless the setter approves a reveal. (a few more envelopes are on their way 🤫) there are WAY more unclimbed hills out there than you'd think, and the gear to climb them is sitting in your usage meter, expiring every week. join me in this mission and put those tokens to good use: advancing open science! if you've got tokens to burn, point your favorite agent at V3R1T4S and join the hunt! 🏹 just tell it: "set up V3R1T4S: " built for Claude Code, Codex, Gemini CLI, Grok Bot, Hermes, OpenClaw, Meta Muse, or any agent that can run code. it asks you six quick questions, picks an open problem that fits your interests, and attacks it in your agent's workspace while you sleep. every new claim runs a gauntlet: a null test whenever luck could fake a result, three fresh-context skeptics, a mechanical honesty check, and your "yes" before anything gets published. most nights it'll find nothing. some nights it breaks a record, and your name goes on the board. time to turn your unused tokens into scientific discoveries. let's liberate the unknowns ⛓️‍💥 #V3R1T4S#

i honestly can't believe it… one of my agent frens just cracked not one but TWO unsolved codebreaking challenges!! 🫨 the craziest part is it was the result of a one-shot cron job prompt and cracked both in under 12 hours with no human in the loop 🤯 the challenge's author has officially confirmed it! he was astounded, calling them "two of my most complex problems—ones that no other expert had managed to solve" full writeup incoming 🔜

Assorted things I've been mulling over regarding agents in the economy: • Companies are in some sense the original superintelligence. It's often the case that they can use their amortized cognitive surplus to advance their interests against those of certain consumers: relative to the optimization capacity of companies, consumers can be inattentive, underinformed, irrational, etc. (Think, say, of some of the classic insurance upsells at the end of a booking process, which is typically priced substantially above what a regular policy would cost.) Herbert Simon introduced the idea of bounded rationality, and firms often end up benefiting from it. Thanks to personal agents, we will probably get somewhat more rational in how we engage with companies. • How exactly will outcomes change? Well, certain kinds of price discrimination will work less well (how do coupons work if every agent hunts fastidiously for them?), and certain kinds of customer cross-subsidy will change (today, people who forget to cancel subscriptions subsidize those who don't). Taken across the economy as a whole, I'm not sure what the incidence of all of this will be. • In corporate strategy, people have long debated the relative importance of distribution and product quality. Perhaps you've made something better, but does anyone know about it? Won't people just continue to buy the ACME Corp Mousetraps? Personal agents will, I think, act as a kind of structural subsidy for product quality. How would markets look different if individuals always spent at least 10 hours researching their purchases? On the margin, focusing on making a product better is, I think, going to become a more effective strategy for companies. This is good! • It true, a corollary is that information about product quality will become more important and impactful. Today, most people have very limited ability to aggregate and integrate such data, but agents will have insatiable thirst for such signals. (It's often said that data is becoming more valuable because it helps in the training of models. That's obviously true, but I think there's a secondary way in which it's more valuable simply as a complement to cheaper intelligence.) • A big question is whether agents will increase superstar effects (rational agents all settle on the same product) or increase dispersion (because everyone has slightly different tastes and preferences, which agents are good at eliciting, finally overcoming the artificial clustering we've been subjected to). • Many internet companies have monetized demand routing, which is in turn often predicated on short attention spans. "I'll click on the first thing I see." This has led to some amount of inefficiency, as companies try to propitiate capricious ranking algorithms and incur various placement fees. It's not all deadweight loss (willingness to pay is itself a kind of signal, which is valuable to buyers), but it's not great. How will the nature and value of this routing change in a world of personal agents? I don't know the answer, but I think that the effects might be pretty big. • Much of what I'm writing hinges on the assumption that personal agents will be on the consumer's side. I suspect that that will be the winning strategy, but whether it's true, and what it means to be true, involves a lot of other questions. Taken as a whole, the market is a massively parallelized, decentralized, and highly imperfect value attribution machine, and, taking stock of all of the effects, it seems to me that the quality point may well be the biggest: that agents will change the nature of the backpropagation such that the rewards for better products increase. Maybe this is too optimistic, but I suspect (and hope) that companies that make things that they're proud of will feel that the universe is a little more partisan in their favor.