alphakΞY

Japanese Report: "Why didn't you tell US allies about the war before attacking Iran?" Donald Trump: "Who knows better about surprises then Japan. Why didn't you tell me about Pearl Harbor?" This man belong in a psychiatric ward.

the thing i learned earliest in my crypto journey is that to really really scale a decentralized network, you have to avoid consensus. that's what drove me to L2 scaling. L1s can support agreeing up to a certain number of bytes per second, and hopefully that's a high number on a geodistributed validator set. but to go higher, think 1M-1B payments per second that anchor on a blockchain for security, you need to leverage the offchain world and use the L1 for settlement and coordination. that can be an L2 like an Ethereum rollup or a validium, or a channel. it can also be a shard, in the traditional database sense although that proved to be difficult for many reasons. i am excited to finally see the physical limits of blockchains to be hit, so that the offchain tech we've iterated on for years flourishes even more than it has already.

I hate to be the one to say this, but please--no more manifestos. They've made great progress on this in the last year. What people want to see from the EF is less manifesting, more shipping.

🤯BREAKING: Alibaba just proved that AI Coding isn't taking your job, it's just writing the legacy code that will keep you employed fixing it for the next decade. 🤣 Passing a coding test once is easy. Maintaining that code for 8 months without it exploding? Apparently, it’s nearly impossible for AI. Alibaba tested 18 AI agents on 100 real codebases over 233-day cycles. They didn't just look for "quick fixes"—they looked for long-term survival. The results were a bloodbath: 75% of models broke previously working code during maintenance. Only Claude Opus 4.5/4.6 maintained a >50% zero-regression rate. Every other model accumulated technical debt that compounded until the codebase collapsed. We’ve been using "snapshot" benchmarks like HumanEval that only ask "Does it work right now?" The new SWE-CI benchmark asks: "Does it still work after 8 months of evolution?" Most AI agents are "Quick-Fix Artists." They write brittle code that passes tests today but becomes a maintenance nightmare tomorrow. They aren't building software; they're building a house of cards. The narrative just got honest: Most models can write code. Almost none can maintain it.

$10 to the first person who guesses where I am