cody

found the bug

@cremieuxrecueil This tweet taken out of context is hilarious

The solution is clear: We need to find more ignorant fat people. Link: bloomberg.com/news/articles/…

This is not good: People have learned that GLP-1s are really effective, so if they're not losing weight, they know they're in the placebo group. So these people getting placebos are getting mad and leaving the trials.

@cursor_ai i love you, but -

if you can’t understand what your coding agent does, you can’t optimize it. You'll just keep shouting fixes into a growing black box that only ever responds to your shouts. It works for a while, and will probably work in a year. but for now... keep reading the code

@AGrillz 🪙

Not my cofounder using “tokenmaxxed” 😂😂 @codyetc

Bring this back #The_riot" target="_blank" rel="nofollow noopener">en.wikipedia.org/wiki/Ten-Cent_…

If your product is usage based and you can’t give people higher rate limits you’re literally reducing the only bottleneck to income

@pmarca 🍄

TLDR There is no inner self, you're chasing an imaginary concept, the end.

I made a free web app that tracks @ycombinator companies. It updates when: - A new company is listed to YC’s website - A company does a launch post - A company changes their name or tagline/one-liner You can even download the full list of all the companies YC has ever funded.

me: "is there an open sourced library for this?" claude: "let me just fuck your shit up"

@ankrgyl 100% agree. If your only pitch is to recreate incumbent products, who's to say your product won't be the incumbent in a year? code gen will be fast enough to re-create it by then anyways

There's a surprising surge in antagonism among new startups who feel empowered by AI codegen. Every day I meet founders whose pitch is to destroy incumbents using AI to recreate their products, but cheaper. I think the startups that win are the ones who ❤️ specific problems and pour everything they have into solving them. Customers want to work with people who are passionate about solving problems, not their competitors. AI is amazing. Use it to develop novel solutions to problems that are not solved well! That's what the folks who are passionate about problems are doing.

don't steal my drip

@YousifAstar github.com/vercel-labs/ju…

@_kentwalters I’m doing this

added 'say bump' to my claude hooks. pretty annoying, does make it feel more like a person.

@cryptopunk7213 You think that's wild read this - en.wikipedia.org/wiki/Project_P…

wtf did i just read NATO is equipping live cockroaches with AI models to spy on enemies, steering their movement with electric shocks to the nervous system! the tech is fucking insane: - each cockroach is wired with cameras, microphones and microscopic AI chips that process data locally. - swarm algorithms coordinate MULTIPLE cockroaches at once - these cyborg cockroaches are sent on military scouting missions moving through tight spaces, rubble undetected. - german military has already paid for and deployed these AI cockroaches i’ve heard of ai drones but never ai-powered fucking combat cockroaches lmaoo

@ay_ushr why?

If you are selling to founders and asking them to book a demo with you, PLEASE use google meet instead of Zoom

@yrechtman bingo

Growing suspicion that there are vanishingly few use cases for consumer agents. People don’t do work in their personal lives. The only people who do are sf dorks using spreadsheets to plan trips to tahoe

Was explaining to a friend why working at a task-tracking company is not a good idea because you end up trying to build this - en.wikipedia.org/wiki/On_Exacti…

@garrytan Gall's Law >A complex system that works is invariably found to have evolved from a simple system that worked. A complex system designed from scratch never works and cannot be patched up to make it work. You have to start over with a working simple system #Gall's_law" target="_blank" rel="nofollow noopener">en.wikipedia.org/wiki/John_Gall…

People get high on abstraction too early. They want the system before they’ve earned the insight. But the good abstractions are never designed. They’re discovered. You do the stupid manual thing enough times and the real bottleneck just emerges. Your initial agency might be driven by a hunch you had in the shower, but that moment won’t get you all the way to making something people want. The right way to make anything is forced on you by reality: what are the real jobs to be done? And what sequence? This is why “do things that don’t scale” still hits, especially now when AI makes it trivially easy to scale things that probably shouldn’t be scaled yet. PG’s point was never about suffering. It was about contact. When you’re the one manually doing the loop, you see the edge cases. The weird user behavior. The failure modes nobody designed for. The hidden dependencies that only show up at 2am when some flow or intermediate step breaks in a way you didn’t anticipate. If you automate before you have that contact, you just scale your misunderstanding faster. When the machines can help you vibe code perfection it gives you a false sense of power. I love that feeling as much as you do. But fuck perfection. Do it live. Be the loop. Feel every friction point. Notice what’s actually true every single time versus what just looked true because you hadn’t seen enough cases yet. Formalize that. Build the recursive version. Then keep checking that your abstraction is still attached to real humans and their needs. Because reality drifts. Your users drift. The ground truth changes under you. You may think you understand but no plan survives contact with the real users and what they want. You find those body blows in analytics and user feedback and we call them the roadmap. Humans left with not enough data hallucinate too. But just like the LLMs with enough data you unlock real transcendence. Real utility. Prosperity for humans in real life. The abstraction is a tool, not a destination. The moment you forget that, you’re cooked.

@zringstrom i want my money back

The most anti-AI bet is a monthly poker night with your friends. Dinner parties are ok too.