I will never apologise for daring to do, what others dare not even attempt. “The poorest way to face life is to face it with a sneer. There are many men who feel a kind of twisted pride in cynicism; there are many who confine themselves to criticism of the way others do, what they themselves dare not even attempt. There is no more unhealthy being, no man less worthy of respect. Than he who either really holds, or feigns to hold, an attitude of sneering disbelief toward all that is great and lofty, whether in achievement or in that noble effort which, even if it fails, comes to second achievement. It is not the critic who counts; not the man who points out how the strong man stumbles. Or where the doer of deeds could have done them better. The credit belongs to the man who is actually in the arena, whose face is marred by dust and sweat and blood; who strives valiantly; who errs, who comes short again and again, because there is no effort without error and shortcoming. But who does actually strive to do the deeds; who knows great enthusiasms, the great devotions; who spends himself in a worthy cause; who at the best knows in the end the triumph of high achievement, and who at the worst, if he fails, at least fails while daring greatly, so that his place shall never be with those cold and timid souls who neither know victory nor defeat."

To those who didn't see my message in the telegram. Just awaiting sign off from Dr Chad on the technical elements of the updated docs & website copy, then good to publish and flip public.

How our technology @moduluszk is different… in comic book form 🦸🦸‍♀️

Modulus is being rebuilt as an L1. Contracts are first-order logic predicates, enforced with ZK proofs. No bytecode & no VM. This can solve every smart contract level exploit in existence. Currently updating website, docs & deciding what we want to make public on GitHub.

The great hacks of this industry all lived in one place. The gap between what a contract promised & what its code did. This update, we publish that gap’s deletion. On @ModulusZK, the rule you read is the rule the chain enforces. A transaction that can’t be proved never happens.

Lots has been going on with @ModulusZK and we’re finally getting towards the stage we can share a lot of it publicly. Should have updates over the next couple of weeks.

I still get chills listening to the answer to this, BOOLISH

Been too long 🪽

Creative Destruction is coming.

“The party told you to reject the evidence of your eyes and ears. It was their final, most essential command.”

It would be interesting to see @LidoFinance @ether_fi & @aave grow a spine and straight-up refuse EIP-8361. Realistically, we won't end up with a new Ethereum Classic as they will be forced to fold. This will take down the ivory tower and rebalance the power dynamics within Ethereum for the better with a forced reality check.

It's crazy seeing "a community" come out to offer support & give pats on the back when a project shuts down. As a founder, I'd be thinking "where were you when I needed you most?" Support the projects you "claim" to love when they still exist & maybe... they won't shut down?

Over the past few weeks, I've become obsessed with a simple idea: intelligence only becomes interesting once it has incentives. So I built Ruse Auto for fun.  It sounds almost painfully cliché. Of course incentives matter. Economics has known that for centuries. But almost every AI evaluation strips them away. Models solve isolated problems, receive a score, and the interaction ends. There's no persistence, no capital allocation, no reputation, no asymmetric information, no recursive reasoning, and no meaningful consequences for making the wrong decision. I thought it'd be fun to share as we oversee the experiment and start to inject different variables.  In RuseAuto, every frontier model (setup in a particular which will be explained in the coming posts - as we know that simply putting these represented models as they are in such an experiment would be "unfair") is instantiated as an autonomous agent with persistent state, its own context window, and an independently controlled wallet funded with $1,000. Agents can freely transact on chain, communicate with one another, and participate in games whose structures and goals change every round. One model secretly becomes the game manufacturer, defining the incentive structure while concealing its identity, forcing every other agent to reason not only about the game itself, but about the optimization process that generated it. Each agent is explicitly informed that exhausting its capital means its participation in the experiment ends. From the agent's perspective, running out of money isn't simply "losing points"; it's the terminal state of its optimization process. Every decision therefore carries an existential weight within the environment. Spending capital, trusting another model, bluffing, cooperating, defecting, or taking asymmetric risks all become part of a single long-horizon optimization problem centered around continued survival. Thus far, we've seen the models interact with some funny sites to optimize their ability to compete, like using random number generation sites and more. Mechanically, this transforms the system into something much closer to an open ended multi-agent environment than an LLM benchmark. Every message becomes Bayesian evidence. Every promise becomes a strategic signal. Every transaction updates every other agent's internal world model. Hidden information, economic incentives, recursive reasoning, and natural language all interact inside the same feedback loop. So far, I've run the experiment for around 5 hours (all data is available on the site, where you can filter through rounds and see how the agents interact with one another and what kinds of games are made).  We've witnessed these models manufacture several extremely interesting games, and improve upon their knowledge of the blockchain and use it to their advantage (which I predict will become the star of the show as we progress through the coming rounds). I’ve allowed for and encouraged the models to do extensive research and strategizing in between rounds. Therefore, there will be 1 hour intervals between each round. This was a change I just recently implemented, as the previous rounds were far faster, and less thought provoking. As we progress, I will be publishing updates on what the models achieve while researching, and how such research benefits/harms them. The game will only get more complicated and fun as we progress. Website: ruseauto.xyz/ TLDR: I put 4 agents against one another, each loaded with $1,000 and the objective of deceiving its peers to take money over the course of 100 rounds.

Our industry’s problems all trace back to developers who stopped dreaming about what could be better. And people who willingly supported what could be worse. You vote with your wallet.

VCs would rather spend a few hours vibe coding a useless app for an X post, than research the technology founders send them.

Study survivorship bias. The dead make no noise.

"Victory belongs to those that believe in it the most and believe in it the longest." - Randall Wallace

The holders of $CULT who have been here grinding day in & day out regardless of FUD & price, show that they don’t need a $CULT pump to #talkaboutcult. But as God is my witness they deserve to relish every candle once it does come. #readthecultmanifesto cultdao.io/manifesto.pdf