Vitalik’s essay “Galaxy-Brain resistance” may be an instant classic. It’s highly relevant to today’s headlines, and you should read it right now! But it may also be timeless. “Galaxy-Brain” is a disease. This is how to be resistant to that disease.

When Vitalik says he isn’t giving up, I think of someone that has just spent half an hour writing three sentences, then sent them to the only person they felt able to tell. I think of that person, and all the people who haven’t found the words yet, and I remember that the fight for privacy is a fight for dignity, a fight for choice, and a fight for freedom; the freedom to be wrong, the freedom to be ashamed, and the freedom to choose. We must never forget how much ordinary life there is within this word and we must NEVER let them make us think otherwise.

the best place to find mispriced and undiscovered talent continues to be 𝕏 - filters on rawness of thought / insights - incredibly robust social graph - proliferate posters usually tired of day jobs - platform audience largely technical - similarly, good for sourcing w/i sf

The returns to having a large network are astronomically higher than they were just a decade ago. You literally cannot do business without being a good hang and giving back to your community. The “permanent underclass” is just people with no friends.

as ai accelerates, so too will new forms of psychosis. previous ai psychosis was just a feedback loop of false positives, the larger psychosis will centre around everyone being fake and everything being generated. this will converge with the trend of social regression towards spans of proximity/ relativity; participants filtering back to true network effects and their own relative connection if anything you see/ hear and anyone interacting could be fake/ generated, and there’s no (non bastardised) supply chain on the connection level, then more people will fall into a digital version of (real) psychosis. everyone is fake and everything is generated; one step removed from [it’s all to get me] (and that’s possible to) if regression to spans of proximity/ relativity continues to accelerate, then a k shape compounds: people connected to reality in silo’s of their own proximity - interacting with people they actually know, filtering away from the surface - and people stuck on a surface where real connection is filtering away and simulation clusters are accelerating the behaviour of those who fall into the wrong side is also effectively algorithm based, which makes it very easy to pattern optimise for (most people who remain on surface, fall into the decaying influencer dynamic, post like they’re part of a collective LLM anyway) the physical analogy for this would be like a city where a section of humans just visit each other in their own houses, and another section goes to parties where there are robots indiscernibly pretending to be human (and no verification, no eyeball or passport scans, solve for any of it) there’s already been a handful of examples of this playing out here, they’re just early

A classic observation in finance papers is that people only hold cash if there are frictions. People either hoard cash to spend in the future or face barriers to investing. Crypto companies are removing those frictions. - @ether_fi lets users borrow cash against their investments. You don’t have to sell, which decreases the need to hold cash to spend in the future. - @anvil_xyz lets companies put deposits in yield bearing assets like money market funds. Instead of putting 50k down for an event sponsorship a year ahead of time, you put 50k worth of money market funds down and keep the yield. - @SECGov’s new innovation exemption allows tokenized NMS stocks to trade against money market funds in AMMs. Neither LPs nor swappers need to hold cash to access stocks. People say time in the market beats timing the market. Crypto literally increases time in the market.

PRIVACY IS MORE THAN MONEY This is what the Kohaku project is, straight from its core contributors, @VitalikButerin and @ncsgy. TLDR: it is a serious attempt to rethink online safety and privacy across money, AI, and life. Let’s dive in.

since a lot of people are asking, here is what @RAILGUN_Project is: railgun is a privacy protocol built on Ethereum that lets you interact with DeFi (swap, lend, trade, send tokens) without exposing your wallet address or transaction history. here’s what it actually does: 1. private balances and transfers railgun uses zero-knowledge proofs to let you deposit assets into a private pool and then move them around without linking those actions to your public wallet. you can send someone USDC or ETH, and no one can trace it back to your main address. 2. private defi actions Railgun integrates directly with DeFi protocols. Your swaps or trades look like they came from a shared shielded contract and not your public wallet. 3. zk-Proofs for compliance (institutions will love this) it’s not fully dark, railgun supports “viewing keys,” meaning you can prove your transaction history to someone privately (like an auditor) without revealing it to the world so its full privacy but wihtwith optional proof. 4. self-custodial and onchain everything is smart-contract-based, it’s entirely on-chain which means ethereum itself enforces your privacy. privacy is the next stage for defi, and this is an example of how it can work. excited to see more teams integrate it as an option for users!

Ethereum’s biggest bottleneck may no longer be demand; it’s speed. @ethlabs_org argues Ethereum is already becoming the home of tokenized finance. The next step is making it dramatically faster without sacrificing decentralization. If they pull that off, the Wall Street thesis gets much more interesting. FT @BitcoinJesusETH @_julianma @decentrek @binji_x ⏱ TIME POINTS ⏱ 00:00 - Intro 01:06 - Why Quick Slots Matter 04:21 - What Does “Faster Ethereum” Mean? 09:58 - PRO 10:32 - Can Faster Ethereum Boost ETH? 12:46 - Ethereum vs. Base on Account Abstraction 18:41 - Is Base “Divorcing” Ethereum? 21:26 - How L1 and L2s Are Changing 25:49 - Is Tokenization Ethereum’s Big Opportunity? 29:45 - Sponsor: Nexo 30:19 - Should Tokenized Assets Live on L1? 33:42 - Who Sells Ethereum L1 to Institutions? 36:45 - How Does This Drive Value to ETH? 41:34 - Does Ethereum Need L1 Privacy? 46:31 - Closing Remarks

Another alpha packed conversation with some of the most important builders in crypto @binji_x @decentrek @_julianma @ethlabs_org is back on @milkroaddaily to discuss Fast Ethereum, the account abstraction split between Ethereum and @base, and the future of tokenized issuance directly on the L1. Most importantly, we tie everything back to $ETH and I got to troll @_julianma for being such a polished communicator. Don't skip this one. Believe in somETHing. MAKE IT FASTER!! WE CARE!! WARTIME ETHEREUM!!

We got an important step closer towards unified liquidity between L2s and Ethereum via @etheconomiczone. Here is a @CoWSwap trade settled on L2 while using liquidity from L1. Bridging tokens out and receiving other tokens back all happens atomically! Public testnet soon!