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Nouns DAO has been captured. @GlitterProtocol founder @0xdusk_eth and anon conspirators like @0xjanedoe2008 @makenounsgreatagain have finally fully taken over @nounsdao After not voting on props for months (which has made it nearly impossible to pass proposals), they've collected enough votes to make decisions for the DAO as a small group and have all come out to vote over a new reserve auction price for Nouns at 4x higher than our daily auction. This act will likely halt income, burn daily Nouns, prevent new buyers/voters, and help them maintain a "book value" through not passing proposals and not diluting their past buys more. IMO this is a sad day for Nouns and I don't think there is much coming back from a move like this. Although we may have been doomed anyways from their lack of vision and ideas to actually make Nouns better besides staking eth with their friends at @mETHProtocol 🫠 cc @zachxbt
the negative and positive things that have happened since saturday are the result of _centralised_ points of building. everything that has happened (the bad and good things) would not have happened if we built in a truly decentralised way. overall, dprk would have far fewer "gains" if we stuck to cypherpunk principles. like, dprk does _not_ focus on smart contract hacks, they almost exclusively target centralised attack vectors. if we want to win against dprk (and any other state actor, which all focus on web2-based attack vectors), we need to go full cypherpunk mode. if this is not a wake up call, i do not think we will get a second chance.
Wanna move out of your staked Eth positions from aave? Just use Bungee.
Yesterday I resigned from Consensys, where I've been building MetaMask for over ten years. I'm burned out and need to spend time with my family. Wishing the team the best — they have an amazing road ahead of them.
Update on rsETH incident: WETH reserves on the Ethereum Core V3 market have been unfrozen and users can supply WETH to Ethereum Core V3 again. WETH LTV remains at 0. WETH reserves on Ethereum Prime, Arbitrum, Base, Mantle, and Linea remain frozen. Aave service providers will continue to work on next steps and provide updates accordingly.
follow-up: @beeper appears to have been hacked. the notification sent via the beeper mini app is fake and did not come from the @farcaster account. we've blocked the token on clanker so it's no longer accessible. do not interact with anything related to the beeper notification or the beeper mini app.
The past few days have been intense, but I wanted to give some updates as we continue to work on this. Our priority is our users, and every decision we are making is aimed at an orderly return to normal market conditions and the best possible outcome for everyone involved. Working around the clock, the team has made progress on multiple paths forward with several partners. The Arbitrum Security Council also recovered $70 million in ETH, which could meaningfully reduce the potential exposure, and multiple discussions and solutions are being considered. I am confident we will move towards a strong resolution. Reviewing what happened and learning from it matters. But pointing fingers is not something that gets us to the other side of this. Every bit of my energy right now is focused on the outcome for Aave users and the protocol. Aave has been my life's work, and this is an important moment for DeFi as much as it is for Aave. I am deeply grateful for the support and collaboration we have received from builders and partners across the industry. We’ll get through this together and we’ll continue to publish updates on @aave as they happen.
Introducing OpenMythos An open-source, first-principles theoretical reconstruction of Claude Mythos, implemented in PyTorch. The architecture instantiates a looped transformer with a Mixture-of-Experts (MoE) routing mechanism, enabling iterative depth via weight sharing and conditional computation across experts. My implementation explores the hypothesis that recursive application of a fixed parameterized block, coupled with sparse expert activation, can yield improved efficiency–performance tradeoffs and emergent multi-step reasoning. Learn more ⬇️🧵