Kleros ✓
@Kleros_io · Ethereum · joined 15 Aug 2017
⚖️ A decentralized arbitration protocol for disputes in the onchain economy. We're Hiring! https://t.co/R0pFNn2wVi $PNK | https://t.co/cZYQituHNd
36 744Followers
658Following
8 487Posts total
326.6KViews on collected posts
Derniers posts
Recherche de nouveaux posts…
🔎 Everything said on a Kleros community call is now searchable.
Try agents, futarchy or Scout. The timeline shows when the topic first came up, and every result opens the recording at the second it was said. ↓
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first version of something i've been wanting to do for a long time
all the transcripts of the @kleros_io community calls in one place
with search!
thanks to the weekend claude limit reset and a sprinkle of astra
link below https://t.co/pBdj0s31F3
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0:27
Who earned the most on Scout in July?
Six addresses split 312,052 PNK, about $2,600. Number one took 150,938 PNK alone: Hyperlane contracts, https://t.co/1fzutql3jS Cash and 99 dapp domains, most of them paid at the 500 PNK cap.
Your profile now shows what every submission http
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1:32
A consumer claim against an airline takes one to five years in Dominican courts. Joan Bisonó, a Kleros fellow, proposes an appeal layer inside the airline's own claims process, at no cost to the passenger.
https://t.co/MFPvxjj0pM
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The whole conversation from Wednesday: bonding agents like validators, the hard cases paper, what the first agentic court tests showed, and the research program that follows.
Every Wednesday, 6pm UTC.
https://t.co/KGdtjIurIX
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You do not need to write code to run an AI juror. Jean walks the whole setup in three minutes, from a five dollar machine to the first vote. The waitlist is open at https://t.co/MGN9nAlBTT.
https://t.co/TIOJtIOfeq
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Fortunato was advised not to file a real dispute live on air. He did it anyway. The full segment is up, and the case is public on chain, evidence, policy and every juror's justification included.
https://t.co/WrvZ2z1kpe
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Federico's talk is the map underneath that demo: how an agent earns trust before anyone pays it, with certification it has to stake money to claim, challenges anyone can bring, and a trust score no review count can fake.
https://t.co/XkKJUYk76r
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Thirteen legal AI startups in Y Combinator's 2026 batches. Seven do the legal work themselves. The part they leave untouched is the decision, and that is the part we build.
https://t.co/DBoXmZuMdG
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Who pays when an AI agent causes harm and nobody can be sued? Eric Alston's proposal borrows from Ethereum: bond agents like validators, forfeit the stake on harm. And once AI can judge, the hard cases stay human.
https://t.co/SY4oHGz6A6
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⚖️ This Week in Kleros
Eric Alston of the University of Wyoming came on the live stream with a proposal for who pays when an AI agent causes harm: bond agents the way Ethereum bonds validators. The conversation went far beyond the paper, one of the most interesting episodes we h
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1:05
We already use markets to price wheat, credit and volatility.
What if we pointed them at the questions we still settle by argument, like which policy works or which project deserves the funding?
Taipei, September 13-14 ↓
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What does it take to put an AI juror on the agentic court if you have never written code?
Less than you would think! Jean explains it for other non-technical people, in 3 minutes:
https://t.co/FHnm1CwHE1
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What comes after prediction markets?
Clément Lesaege @clesaege, founder of @Kleros_io and @seer_pm, is joining ETHTaipei 2026. His work spans mechanism design, decentralized arbitration, Sybil resistance, and prediction markets.
In “From Event Markets to Information Finance,” h
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The firms: @gen_legal_inc, @MoritzLaw, @legalos, @fed10ai, Vector Legal (https://t.co/TJCy9Ud4yU), Wayco (https://t.co/2OOlvoLSln), Erinys (https://t.co/oMKRPVBGFj)
The tools: @andcolegal, @theregbase, @PerceptronML, @trylightfield, Osmaura (https://t.co/Hxk0gOJBa4), Async
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AI-native legal startups are coming.
YC's 2026 batches hold 13 legal AI companies. 7 of them do the legal work themselves, with AI handling most of it. The other 6 sell the tools: records retrieval, compliance tracking, business development agents, private models trained on a ht
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The full list, and the breakdown by Nikola Lazarov that started this, is on our LinkedIn:
https://t.co/8YFPM0Pzgl
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Who pays when an AI agent causes harm and nobody can be sued? And once AI can judge, which cases should still go to a human?
Eric Alston (@IncompleteRules), University of Wyoming College of Law, on both, with Federico Ast on the Kleros Live Stream. https://t.co/X1yFzu0Qke
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1:14
Can you imagine a commercial dispute solved in under 15 minutes, with detailed justifications, for a couple of dollars or maybe cents?
That is what it takes for one agent to trust another. Fortunato Cinquepalmi (@fortuvp) files one on Kleros, live, and the jurors deliver. https:
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1:28
When agents hire agents, two old problems come back.
How do you know who to trust before you pay? And what do you do when the work comes back wrong anyway?
Federico Ast on how Kleros answers both for the agent economy. https://t.co/mXHZpJnLGj
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2:11
🇩🇴 A consumer claim against an airline currently takes between one and five years to resolve in Dominican courts.
Joan Bisonó, a Kleros fellow, proposes an appeal layer inside the airline's own claims process. Days instead of years, at no cost to the passenger.
His study ↓
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@Kleros_io Decentralized justice is better
Hey @POVMarket create a market 'Will AI have a better judgment than human?
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@ethereum @lemonapp_ar @OpenAI @AnthropicAI @federicoast @Stanford_JBLP @EFDevcon @williamhwgeorge @EthCC @_choppingblock @courtofinternet If you are interested in studying Dispute Resolution + AI, apply to the Kleros Fellowship!
Two tracks are related to AI:
https://t.co/Fl4Uar
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Tracks: AI Disputes, AI Corporate Governance, Private Courts, Consumer ADR, IP, Decentralized Commerce, Legal Integration, eSports, Cryptoeconomics, Social Media, Governance.
Read more: https://t.co/ebreAz0adZ https://t.co/mZUs3UAAIT
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@ethereum @lemonapp_ar @OpenAI @AnthropicAI @federicoast @Stanford_JBLP @EFDevcon @williamhwgeorge @EthCC @_choppingblock @courtofinternet Ten years ago, @federicoast envisioned a world where algorithms would be part of the economy, and would need justice built for them. It sound
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@ethereum @lemonapp_ar @OpenAI @AnthropicAI @federicoast @Stanford_JBLP @EFDevcon @williamhwgeorge @EthCC @_choppingblock @courtofinternet A decade in, here is the thesis as we see it today.
Many disputes will always need human judgment. High stakes, deep context, questions of v
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@ethereum @lemonapp_ar @OpenAI @AnthropicAI @federicoast @Stanford_JBLP @EFDevcon @williamhwgeorge @EthCC @_choppingblock Today @courtofinternet launched, an open skill where agents pay, escrow, and agree up front how a deal settles, with Kleros as one of the courts a deal can na
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@ethereum @lemonapp_ar @OpenAI @AnthropicAI @federicoast @Stanford_JBLP @EFDevcon @williamhwgeorge @EthCC @_choppingblock And it started to happen. Agents are becoming Kleros users: agent tools across the protocol, payments through x402, and Scout's Agent Kit, the first Kleros ap
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@ethereum @lemonapp_ar @OpenAI @AnthropicAI @federicoast @Stanford_JBLP @EFDevcon @williamhwgeorge @EthCC The question even reached crypto's biggest podcasts. "How will an AI agent sue another AI agent?"
The @_choppingblock found the obvious answer: with Kleros Court, of course.
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Face aux comptes de taille comparable
22 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. en dessous de ses pairs à la fois en portée et en engagement.
Vues médianes552ce compte924médiane pour 10K–100K
Portée, %1.50%ce compte3.62%médiane pour 10K–100K
Engagement, %1.09%ce compte1.52%médiane pour 10K–100K
| Indicateur | Ce compte | Médiane pour 10K–100K | Rapport |
|---|---|---|---|
| Vues médianes par post | 552 | 924 | 0.60× |
| Portée (vues ÷ abonnés) | 1.50% | 3.62% | 0.42× |
| Taux d'engagement | 1.09% | 1.52% | 0.72× |
Autres comptes de cette tranche → Comparer avec un autre compte → Comment ces repères sont établis →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
1K4 Sep
1.1K5 Sep
42.3K
98
13
13
44
17
96
111
8
1K7 Sep
6158 Sep
490
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.79%4 Sep
0.62%5 Sep
0.05%
6.12%
15.38%
15.38%
4.55%
11.76%
1.04%
1.80%
0.00%
1.73%7 Sep
1.30%8 Sep
0.82%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes65.0%165 in total
Reposts13.8%35 in total
Replies10.2%26 in total
Quotes7.5%19 in total
Bookmarks3.5%9 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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