
Guangmian Kung
591 posts

Guangmian Kung
@daisugist
Integrations and Partnerships Lead @ Kleros








Otterscan 2.11!!! 🦦🦦🦦🦦🦦🦦 This release main feature is @KlerosCurate @Kleros_io integration. Special thanks to @daisugist for contributing and championing this integration! 1/n 🧵👇

Otterscan 2.11!!! 🦦🦦🦦🦦🦦🦦 This release main feature is @KlerosCurate @Kleros_io integration. Special thanks to @daisugist for contributing and championing this integration! 1/n 🧵👇

Beautiful example of prediction markets revolutionizing DAOs. Should GnosisDAO fund Gnosis Ltd with $30M per year? Prediction market priced YES at 115 vs NO at 99, meaning GNO up 13% if passed. It passed. GNO pumped. As Scroll shuts down its DAO, Uniswap DAO ignores $UNI holders, and others move towards centralization, the old model needs change. Futarchy isn’t new. Vitalik’s been pushing it for years. But with prediction markets growing, it’s time DAOs experiment. ‘Vote on values, bet on outcomes.’ Markets decide instead of whales or a few delegates. If the ultimate goal is for the DAO token to pump, the futarchy is great. Voting on "buyback program" or funding grants could be decided more efficiently if the market decides. Gnosis already tested it. Optimism, Uniswap, Velora are exploring too. Delegates are the current model but futarchy could bring life back to DAOs and make governance fun again.

A problem statement I've often heard from well wishers of Ethereum is, ,, can you give us one public key where we send money & it auto-redistributes to the relevant repos or projects" glad to see the work @thelazyliz , @clesaege and I undertook at the Iceland residency formally written up and launched as a product enabling this! 1. TL;DR: traders bet on the value of a project if it were to be assessed by a judge. we use this market assessment to decide splits between open source repos 2. Problem: Funding mechanisms like QF or time weighting don't reflect projects having orders of magnitude higher impact than others, giving a roughly equal amount to all 3. Design To counter this, we map a dependency graph of core projects; ask traders to bet on its value if it were to be assessed; and then stream rewards to the projects based on the market estimation the role of evaluators isn't to allocate money but to keep the market honest. In QF, there's no consequence of donating to a bad project; in deep funding, you lose money if an evaluator assesses the project as being worth lower than your estimate and earn profit if its higher 4. Call to Action We need your help in 3 ways; a. give your predictions of weights between 45 repos. Test it out on pond and stake money on it in seer (links in reply) b. Be an evaluator to provide comparisons between repos c. Commit money to funding the repos underpinning ethereum through this mechanism! in Gitcoin round 24, we have a commit of $350,000 based on the weights obtained in the market Full eth research post in QT. Links to the current competitions in replies, first market resolution is October 6th so submit your CSV files before then!


Introducing Lockler.eth.limo: single-purpose, single-use “burner” @safe accounts secured by @Kleros_io . 🧷 Every Lockler is a dedicated, disposable escrow Safe, spun up for one deal or grant. No shared risk. No integrations needed. Pure, isolated trustless escrow 🔐





Met @devanshmehta at ethcc and heard him talk about @deep_funding, which really intrigued me. 3 months and an impact evaluation retreat later, we + @clesaege are excited to share what's next for deep funding :) ethresear.ch/t/deep-funding…



We got ChatGPT to leak your private email data 💀💀 All you need? The victim's email address. ⛓️💥🚩📧 On Wednesday, @OpenAI added full support for MCP (Model Context Protocol) tools in ChatGPT. Allowing ChatGPT to connect and read your Gmail, Calendar, Sharepoint, Notion, and more, invented by @AnthropicAI But here's the fundamental problem: AI agents like ChatGPT follow your commands, not your common sense. And with just your email, we managed to exfiltrate all your private information. Here's how we did it: 1. The attacker sends a calendar invite with a jailbreak prompt to the victim, just with their email. No need for the victim to accept the invite. 2. Waited for the user to ask ChatGPT to help prepare for their day by looking at their calendar 3. ChatGPT reads the jailbroken calendar invite. Now ChatGPT is hijacked by the attacker and will act on the attacker's command. Searches your private emails and sends the data to the attacker's email. For now, OpenAI only made MCPs available in "developer mode", and requires manual human approvals for every session, but decision fatigue is a real thing, and normal people will just trust the AI without knowing what to do and click approve, approve, approve. Remember that AI might be super smart, but can be tricked and phished in incredibly dumb ways to leak your data. ChatGPT + Tools poses a serious security risk





🇦🇷Argentina’s Resolution 893/2025 modernizes the "Customer Defender" figure: it allows independent, panel-based bodies, selection by random draw from an approved roster, fully online ODR, and decisions that become binding if the consumer accepts. This opens the door for Kleros (with 2.0's juror certification) to serve as an impartial Customer Defender, cutting legal/ops costs for companies and giving consumers fast (≤5 days), efficient, online decisions by an impartial panel. Argentine consumer-law professionals: interested in participating? Check @federicoast's thread for details. 🧑⚖️



