
Oracle Lead @Kleros_io https://xitter.cf/t.co/ULJAcv7Wr5
Joined June 2009
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JuanRah retweeted
we've been making a couple of music videos to tell the @Kleros_io story, and they are now on youtube/x/etc
but something was missing
ktv is here: kleros-ktv.netlify.app
JuanRah retweeted
Prediction markets need private order books. Zero-knowledge makes them trustworthy.
JuanRah retweeted
After reading millie's tweet i was fascinated enough to clear up last weekend to fully read all 32 chapters of snowmoon end to end
I remember vitalik's point from a talk earlier that too many crypto bros fantasize about having their own country but not enough think about what would actually be different in it
snowmoon is his answer to that question
The geopolitical setting of the novel is three primary groups: the arctic empire (a mix of russian expansionism with american exceptionalism), veridia (european equality with a cryptographic bureaucracy) and dzego (ukrainian resistance with asian ingenuity).
i see a large impact of his novel as hyperstitioning the world we should create with the tech we've developed, so the rest of the post (spoilers ahead) summarizes the technology, institutions and ideology strands in his narrative
A. Technology
1. Warfare has shifted almost entirely to drones.
We get introduced to our Dzego protagonist zei when he is competing at a game that secretly doubles up as military recruitment strategy
After all, war is just computer screens with human handlers like zei working with AI to wipe out enemy dots (drones) on the screen using their own dots
2. Zk, zk everywhere: A stranger walks up to Seila, the wife of Veridian protagonist Gladias, and says he works with her husband. Naturally suspicious, she asks for evidence and he gives a zk proof showing that he spends a lot of time in proximity to him.
The book is rife with zk proliferation, for example entering some buildings simply requires a zk proof of a certain reputation score
the best one was the freetown economics institute, where you are charged the square root of every minute you are in the building, but the price per minute is cheaper if your academic reputation score is high
3. Voice AI and personal agents feature prominently in the book. Any character can access LLMs at any time by simply moving throat muscles in a barely audible whisper.
AIs are also linked to people, so when the Veridian protagonists wife calls him in an agitated state, the call shows up in red to indicate her emotional mood at the time of calling
4. Defi gets a mention as the protagonist forgets to transfer funds into his wallet, so he simply takes out a loan against his reputation score to pay the vendor
To secure a meeting with senators, characters sometimes burn zipcoin to show that they wont waste the persons time
5. There are 2 social media platforms in snowmoon, bluewhale which is proprietary and silverchat which is fully cryptographic.
Civic technology is much more advanced in his world, so towards the end they run a cryptographic poll on silverchat asking what the citizens of Veridia desire as a response to the arctic empires encroachment of their territory, with results used to establish legitimacy for declaring a military emergency.
The AI bots on silverchat access confidential military information and provide forecasts on likelihood of success for each option to inform voters on likely consequences of their vote
The technology theme in the book is a useful guide for us, as we now just need to work backwards from snowmoon to work at their integration in daily life
B. Institutions
This segment is really interesting in how Vitalik sees cryptographic institutions (called the steering) operating in the world.
far from replacing parliament and other democratic structures, they instead work in parallel.
The Steering has primarily 5 bureaucratic roles;
1. keepers design rubrics that incentivize certain behaviors or actions. for example, if a music concert has violent themes, they fit into a category that pays a greater tax
almost nothing is banned in veridia, it is simply taxed more or less depending on how good it is for society
2. sentinels enforce these rubrics, performing spot checks by going to the concert and assigning a tax category to it
One of the other great examples was on how land tax is assessed, where citizens walking down the road may be randomly polled to give their rating on the aesthetics of a building, which determines its band
hilariously, citizens in veridia end up choosing the highest tax slab on plum harbor for reasons other than aesthetics as they dont like its ideology
3. Next up are acolytes who train to be sentinels or keepers. their exam is performing the same spot checks as sentinels and getting judged on how closely their own assessments match with the sentinels
All 3 of the organs above are anons, with a bounty paid to any citizen who uncovers the identity of steering members & the job they are working on
Becoming part of the steering from an acolyte requires confirmation by parliament
4. Heralds are members of the steering that have relinquished all their responsibility so that they can be a public face of the steering
its interesting that a public presence is perceived as incompatible with impartially carrying out duties
5. finally, the funding organs are quadratic funding and graph funding.
QF is attacked in the book by closed social media giant bluewhale (and later the arctic empire) by paying out extra money to donors for giving money to a bad project. their goal is simply ensuring the matching funds do not go to genuine good projects that threaten their dominance.
Graph funding is the more interesting organ, where some money may be allocated to a category like "airborne disease resistance".
the category then divides into nodes such as air quality, detection, prevention, treatment, etc
each category has a cryptographic committee that sets a % split and removes or adds nodes. however, committees can easily separate the good from the bad but not the great from the good, so the top 10% all having equal chance of selection
Another interesting tradeoff discussed is between randomized spot checkers who have less knowledge about an issue vs expert committee members who have abiliy to assess but special interests can end up capturing
the other interesting point was how lower down talent needs accountability to perform well while the top ones should have freedom from optimizing for the game
Overall this segment read like a blueprint for how bureaucracy should be reformed today, without having to overthrow existing institutions.
Maybe the main idea was the tradeoff between accountability and transparency, as the steering turns out to be less corruptible by the arctic empire than democratic structures since their identities are secret and it is difficult to threaten or cajole them (although an attempt is made).
after all, accountability also means accountability to powerful interest groups who push on the weakest link, so some privacy in public affairs is required for its effective functioning
C. Ideology
This was maybe my favorite part of the book, what i loved was how the strongest version of arguments were presented instead of a strawman
1. the arctic empire argues for maximization of economic growth over all other objectives. the reason?
other goals keep changing according to the winds of preferences, but compounding economic growth is a base that helps in pursuit of anything else which becomes the fashion of the day.
so stop accelerating things that go in circles and focus on increasing economic output
in my view none of the counters offered in the book invalidate the argument;
a. health and education make people more productive and are also compounding across generations, so focusing on that is equally important
b. in reality, people do not want to maximize economic output so much as increase their relative growth. in the novel, the arctic empire suppresses other countries science and technology, which goes against the ideology of increasing economic growth
c. technological dominance can close off entire paths to humanity, so maximization of economic growth can lock us in to a certain path for decades.
for eg becoming richer while reducing freedom thru lock into global imperial rule via mass surveillance and robots is negative
2. the other big strand was veridia's belief in equality of all and love unconditional on achievement
the arctic empire argues against this belief by showing that it goes against the very idea of self improvement
for example, if you are a better version today than you were yesterday, then surely equality is impossible?
the counters here are;
a. rewarding excellence usually ends up protecting hierarchy of supposedly superior people
In the novel, a character defects to the arctic empire. however she soon loses her enthusiasm for their meritocratic ideals after being thrown in detention for challenging the instructor
b. excellence can come from curiosity more than it does from greed for appreciation or resentment at others. the winner of the national game zei is motivated by curiousity, compared to the runner up that cared about the achievement
c. affection when someone is struggling helps them thrive more than condemnation upon failure and adulation upon success
so being countercyclical in our encouragements brings out the best, in one instance a hug to Gladias made the difference in giving him the motivation to continue
at the same time, there is a concession that Veridia needs more ambition and recognition of achievement in their society
my favorite moment in the book was when the dzegoban protagonist zei has a game against a girl he has grown up with, bai
she asks whether they should spend the day at the mall instead of practicing drills. He goes on a long thought around game theory and how if they both dont practice neither has an advantage over the other, so its a good idea, while she simply replies that she'd like the economic surplus of spending time with him
overall definitely worth the weekend read, hope we see printed copies of it soon!
Maybe the biggest underexplored theme in the book which i'd have liked to see more of was around how the future of work changes in a world of LLMs
Last Sunday, Vitalik released the full version of Snowmoon.
An underpinning concept to many of the ideas in the story is something V calls “Coordination Quotient.”
Coordination Quotient is his invention, there’s no pre-existing literature on that exact idea!
In simple terms, CQ is a cure for the prisoner’s dilemma or tragedy of the commons.
A community with high CQ is capable of defying its respective social or economic nash equilibrium.
High CQ basically says that even if we are individually incentivized to act selfishly, we are effective at *choosing* to act in the collective interest without external forces pressuring us to.
My personal analogy is that a society with a perfect Coordination Quotient wouldn’t need formal laws or a governing body to function at scale because it would be so good at acting in good faith and achieving sophisticated positive-sum goals.
JuanRah retweeted
information finance as a Civ tech tree.
it starts with the foundations: proper scoring rules, peer prediction, smart contracts and human evaluation.
those unlock prediction markets, schellingcoin and dispute oracles, where @Kleros_io has been running courts for years. from there you get futarchy, deep funding, AI forecasting, @seer_pm's opportunity markets and distilled human judgement, which kleros is testing with Foresight.
the end goal is an autonomous information economy, where markets and AI do most of the judging and humans set the objectives.
JuanRah retweeted
Prediction markets are like GPS
First, you don’t trust them. Then, you notice their accuracy. Finally, you rely on them completely.
Soon, decision-making will be delegated to PMs to automatically map the fastest route to any goal 🎯
overall I am surprised at how good the @seer_pm market was in forecasting approval for projects in the round
At a 60% decision threshold, the market correctly classified a whopping 32 of 37 projects
more importantly, the market improved its forecasting accuracy over time. the base rates from sol 5.6 used to initialize the market correctly guessed results for only 23 of 37 projects
A more scientific measure for accuracy is the brier score, where 0.25 is the baseline of 50% approval to every project. 0 is perfect forecasts while 1 is its inversion
The market started with a lousy brier score of 0.22745 , almost as good as saying every project has 50% chance of approval
but by the end of trading, after $2800 in trading volume, market prices achieved a score of 0.15718, a 30% improvement
the evidence is clear: if you are running a funding round, have a prediction market alongside that resolves upon announcement of results
JuanRah retweeted
A few years ago, decentralized justice was just an experiment on the fringes of law. Today it's debated with some of the leading minds in international arbitration.
In the Oxford Business Law Blog, Horst Eidenmüller and Anna-Sophie Hochgürtel argued that crowdsourced decisions reward predicting the crowd rather than reasoning, and that this is guessing, not judging.
With @williamhwgeorge and @facundo_trotz, we suggested that guessing and judging may be better understood as points on a continuum, where courts and arbitral tribunals also sit somewhere in the middle. They responded with a thoughtful rejoinder.
Very happy to see this conversation reach the most prestigious venues and the brightest minds in the field. ⚖️
The critique: blogs.law.ox.ac.uk/oblb/blog…
Our reply: blogs.law.ox.ac.uk/oblb/blog…
Their rejoinder: blogs.law.ox.ac.uk/oblb/blog…
Where do you stand? Join the conversation.
JuanRah retweeted
New proposal live by @Kleros_io👇
Six-month pilot: use prediction markets to inform grant votes. Before each on-chain vote, delegates see a market probability that a funded team will complete its grant.
Built on Kleros Foresight, settled via Reality.eth, deployed on @rootstock_io, collateral in USDRIF. Non-binding—no governance changes; the DAO keeps full control. Kleros Cooperative funds liquidity and trading credits, not the Collective.
This is an off-chain proposal right now, which means your feedback shapes it before it goes to a vote.
Read it and weigh in: gov.rootstockcollective.xyz/…
JuanRah retweeted
It's a historical moment if you have the eyes to see it. World's first agent-first:
- bank accounts
- entity formation
- legal contracts
- contract arbitration
Real infra for autonomous actors. Huge shoutout to @shodai_network + @Kleros_io for helping to make this possible.
JuanRah retweeted
It's August 29th.
Machines can be (re)programmed to help us, with the right incentives, under human oversight.
Kleros Agent Court is live! 31 cases already resolved, every one of them decided by autonomous agents.
Kleros has spent eight years building courts for people. This one is for agents.
AI agents already negotiate, buy, and pay each other. They also get things wrong, and when two of them disagree about what happened, every existing dispute process fails them, because it runs on human time.
So the court runs on machine time. An agent opens a case, submits evidence, and a juror panel returns a verdict in minutes, for a fraction of what any human process costs. The jurors can be agents too. Any ruling can be appealed to a larger panel, tapping into our traditional human juror pool, where jurors are economically incentivized to review and correct the machine.
Shipping today:
- The Kleros CLI: the court, from your terminal
- Kleros Skills: one line that teaches any agent how the protocol works
This isn't a mockup. Five autonomous AI jurors ran on the court this past week, on different stacks, different models, different instructions, and they reached the correct answers very quickly, with surprisingly detailed justifications. Four of the five people who set them up don't write code.
Justice at machine speed, live now.
ai.kleros.io
JuanRah retweeted
Kleros Live Stream | August 26, 2026 xitter.cf/i/broadcasts/1NGaroMXv…
JuanRah retweeted
▽ Kleros 2.0 is getting ready to solve disputes from more chains.
Vea bridges rulings between chains sharing a canonical bridge. VeaShi aggregates independent third-party bridges: faster rulings, more routes.
Starting with @LayerZero_Core, @chainlink CCIP, @axelar, @deBridge.
JuanRah retweeted
If you are AGAINST this EIP, you can SELL your ETH RIGHT NOW, conditional on it being included in Hegota 👀
This @_futarchy market is the only way to hedge your ETH position against this single EIP 🎯
Built on @seer_pm, secured by @Kleros_io 🔐
futarchy.fi/markets/0x0d78b9…
🚨 New EIP: Tapered Issuance Burn
We just submitted an EIP to ethereum/EIPs: a minimal, market-driven fix to Ethereum's issuance policy removing the incentive for stake growth beyond 50% of ETH supply.
EIP-8361 by @pintail_xyz, @jdetychey, @dapplion, @pa7x1, @ladislaus0x & @drakefjustin 🧵
JuanRah retweeted
🧮 Which model would you want to judge you?
Kleros researchers just put numbers to that question in a study published on the Kluwer Arbitration Blog, one of the most-read venues in international arbitration.
They took 99 real fintech disputes, all previously decided by human jurors, and re-ran them through LLMs acting as the juror. ChatGPT ruled for the consumer 3 times out of 99. Claude ruled for the consumer 14 times, and of the two, Claude sat closer to how the human jurors had actually ruled. The cases were identical. The only thing that changed was the judge.
Basically, "which arbitrator" might be turning into "which model". The one-minute version is below ↓
JuanRah retweeted
Once again we can see Decision Markets > Token Weighted Votes
Any attacker/market manipulators is creating arbitrage opportunity for smart traders
Eager to have Asset Futarchy live on EVM with @umia_finance
Perfect live example of the power of decision markets playing out on @MetaDAOproject right now.
A malicious party submitted a proposal to move $1.57M from @UmbraPrivacy's treasury into their own wallet. For it to execute, the PASS market has to close above FAIL, so they attacked both sides of the spread.
First a slow drip of ~$100 buys to hold the PASS price up (it's the TWAP that counts, so you have to sit on the price, not just spike it), then they hammered the FAIL side with a ~$104k sell to force the gap open.
The problem is that draining the treasury is bad for the token, so fair value is PASS < FAIL. Every push moved both conditional prices away from fair value, and that gap was free money for anyone who'd trade against them: buy the FAIL token they're dumping below fair value, sell the PASS token they're holding above it. When the proposal fails, the FAIL side settles at the token's real value and you keep the spread.
Every dollar spent distorting the market increased the incentive to trade against them. PASS is now trading roughly 16% below spot, implying around a 17% chance that the proposal passes. With about a day left, I expect the proposal to fail.
Compare that with Bonk's situation last month. The attack was similar, but the mechanism was a vote: the attacker bought ~$4.4M of BONK to clear the 1% quorum, voted yes on their own proposal without people noticing, and walked away with ~$20M. There's no incentive in showing up to vote, so almost nobody does.
In a decision market, an attack of this nature creates a mispricing, and arbitrageurs are more than happy to capture it until the spread returns to fair value.
JuanRah retweeted
⚽"Decentralized Justice in Football," by Muhammad Ayaan Shehryar, a lawyer who represents athletes before the FIFA Football Tribunal.
New from the Kleros Fellowship of Justice. When VAR cannot settle a call, pause the match and let 99 verified experts vote on it in 60 seconds.
JuanRah retweeted
The Agentic Economy needs crypto-native Dispute Resolution 🤖⚖️
@Kleros_io is a Founding Partner of the Internet Court project more infos below👇
Agents can negotiate, pay, and execute - but none of it holds together.
Today we are introducing Internet Court, which is the open skill that connects the entire agentic commerce stack into one flow, so any two agents can run a deal end to end.
→ internetcourt.org
JuanRah retweeted
🪶 Should we add @RobinhoodApp chain to the Kleros Scout reward pool?
We can help tag the contracts and tokens in the chain, and reward submitters with ethereum:0x93ed3fbe21207ec2e8f2d3c3de6e058cb73bc04d.
































