cho.sh
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Liked on XI made a mistake. When Jack and I decided to organize this $100K Hackathon, my biggest concern was cheating. Unlike a regular hackathon, everyone participates from home. And because the winner is whoever makes the most PROFIT (not revenue), there are so many ways to manipulate the numbers. So I added a $99 entry fee. One thing I’ve learned from building businesses is that people tend to be more committed when they pay for something. I thought it would filter out spam, attract serious builders, and make the competition fairer for everyone. But I completely missed the other side. 3 years ago, I was a living with my apps. Today, I’m financially free. My life changed so much that somewhere along the way, I lost perspective on what $99 means to someone else. For someone in India, someone struggling to pay their bills, or someone trying to make their first dollar online, $99 can be a lot of money. And those are exactly the people I want to help! I’ve spent years sharing what I’ve learned, reviewing random people’s landing pages, and organizing free meetups around the world. Not because there’s money to make, but because I genuinely love seeing people build things and succeed. And somehow, I was so focused on keeping cheaters out that I didn’t realize I was also keeping genuine builders out. That’s my mistake. So I’ve decided to make the $100K Hackathon completely FREE :) Everyone who already paid got a full refund. I’m still worried about cheating. That problem hasn’t disappeared, and Jack and I will have to figure out better ways to verify profits and keep the leaderboard fair. But that’s our problem to solve. Thank you to everyone who shared their thoughts. Sometimes you need people to remind you of things you’ve forgotten. I genuinely hope this hackathon changes someone’s life. ❤️Liked on XIt’s time to bring back Cafe CursorPosted on Xyo @pendev i can't live share edit a .pen file? it's the most needed featurePosted on XI'm coining a word "Agentsplaining" Agents condescendingly assuming the user don't know fuck and repeating the obviousReplied on X@jayhxmo @raycast Hard to explain. It's the small detailsPosted on X@raycast iOS keyboard is insanely good. Might resub Raycast pro just cuz of thisReplied on X@ishuagra02 I saw a theory that F5.2 is a post train of 5.1, but O5.5 is a distillation of F5.5(unreleased new pretrain) and thats why O5.5 > F5.2Liked on X@anaclumos don't know what is actually improved 👀Posted on Xam i the only one underimpressed with 5.2 fableReplied on X@bvvst great minds think alike https://t.co/YRFWhb1mcOLiked on XClaude Fable 5.2 is out and it's the perfect time to run this god-level prompt on your codebase: "I want you to audit our codebase, is anything here unnecessary, overly complicated in our current setup, or based on weak assumptions? Challenge them. - What can be deleted entirely? - What can be simplified now that unnecessary pieces are gone? Then make the changes. Prefer deleting over simplifying, simplifying over optimizing, and optimizing over automating. This product is being used by thousands of customers, do not cut any corners." This prompt is one I run often and leads to the best results.Replied on X@akshayadinesh19 @bot can we please BYOM for botsLiked on XTo be fair, the Chinese models have a much lower refusal rateLiked on XF*CK IT, im creating a library of AI slop indicators. my feed is full of taste larpers. stay tuned https://t.co/5Muv8nQRm3Liked on XJENSEN! THATS NOT WHAT WE MEANT BY CHINESE MODELS!!!!!!!Liked on Xmy parents had to declare bankruptcy when I was a kid, so they had every reason to pressure me towards a more stable career path instead, they were so patient with me, even as i failed startup after startup for years so getting to tell my mom that everything turned out okay was a really special moment :) for those who can't read Korean, her first message roughly translates to: "Really!!! Congratulations my son. So much :') Thank you God!" i know I've been posting about my exit for like a week now, but it really is a big deal for me and my family! i'll share more about how this all happened and some tactical advice later this week, but for now i'm just riding out all the emotions to quote my mom, thank you God!!!!Liked on X@thefarmers_Dog it stands for Egg GzampleLiked on X🦍 Introducing Memorilla: memory as a modality for LLMs Memorilla turns everything a frozen LLM needs to remember into just 16 memory embeddings ⚡ It uses up to 4,212× fewer tokens and is 27× faster than full context inference while more accurate 🎯 Pushes the Pareto frontier over RAG and agentic memory in personalization, long-document and knowledge QA A thread 🧵:Liked on XThere's a huge product opportunity downstream of Tailscale etc too. At @tldraw we've started designing for "high trust networks" and it's been a beautiful thing. 1. Features that would be a nightmare on the internet are okay on my computer and mostly okay on private networks. Websites that execute user-generated scripts, control production systems, allow for users to send desktop notifications, spend tokens, or directly prompt my agent. Crazy stuff that would only make sense if everyone was in a committed polycule. 2. When everyone on the server can be trusted to have _external_ reasons for good behavior (eg keeping their job, or maintaining friends, family, church, mafia org), the software can be designed in a default social way. Most apps default to isolation, low horizontal visibility, highly restricted collaboration. Makes sense if the social contracts are inside of the app, but if you can trust that they live outside of the app then you can get wild. Example being small group chat names as an emergent comedy phenomenon because anyone in the group can change the name. 3. This can work for commercial products, too, not just internal stuff. Security matters more than ever but the way we've seen that manifest is that more companies are more confident in their own solutions than anything we could provide, to the point where owning data and access is a better value proposition than having it managed. Always has been true for big companies but now even small companies can get a good secure network set up pretty easily, and the hooks we need to build are easy enough. tldraw offline got us started down this road (and shout out to @pendev for first introducing me to the idea of desktop + mcp). We've been bringing that product to private networks and it's been exciting to see how much we can get away with. Keep an eye outReplied on X@saradu birds eye viewLiked on XApplications close in 2 days!! If you have a cool bio idea, and $5-10k will go a long way for you, please apply!!! https://t.co/NCvmrNC53cLiked on XWe've been early adopters of Rust since 2018 and a lot of our infra, voice tech, and even some of the current client is already Rust, the holy grail was getting the whole client there. That means Electron goes away, and so does React Native, mobile keeps native UI but shares app code with desktop via Rust. We hope to get it into testing with users soon™. (And it's not Tauri, it's GPUI, so good guess everyone.) Alright, back to staring at the WoW Forever login screen.Reposted on XOh boy. https://t.co/X7SSskGuGvLiked on XRIP .si domain squatters
입맛

입맛

AI의 작업물은 뻔합니다. 티가 납니다. 요컨대, 입맛이 없습니다. 혹자는 이런 입맛이 금방 따라잡힐 것이라고 주장합니다. 주로 최근 반년간의 AI 성능 발전이 그 근거입니다.

글쎄요. 저는 AI가 그렇게 금방 따라잡을 수 있다면, 그리고 AI가 그걸 따라잡는 목표를 세울 정도로 입맛에 신경 쓸 것이라면, 똑똑한 사람들이 모인 돈 많은 그룹, 최소한 대기업들은 이미 맛깔난 제품들을 찍어낼 수 있는 입맛을 체득했어야 했다고 생각합니다. 현실은 정반대입니다. 입맛이 뛰어난 지도자들이 있는 몇몇 기업을 제외하면 여전히 휴먼 슬롭을 만드는 회사들이 많습니다.

  1. 입맛은 주관적입니다. 절대적인 점수가 없고, 더군다나 인류의 집단 의식에 따른 합의로 이루어지는 것이기 때문에 자동 채점하기 어렵습니다. AI가 밤새 오토리서치를 돌린다고 해도 그것이 인류의 보편적인 호응을 이끌어낼 수도 없고, 검증할 방법도 없습니다.
  2. AI는 다수 의견을 따라갑니다. AI가 할 일을 정할 때도 다수 의견을 따릅니다. 그렇게 영합된 AI는, 본질적으로 ① 채점이 가능한 경우에는 점수가 극대화된 ② 채점이 불가능한 경우에는 일반적인 입맛을 가진 대중이 적당히 만족할 만한 방향으로 최적화를 진행합니다.
  3. 입맛은 점점 진화합니다. 위치가 아니라 속도입니다. 어떻게 리퀴드 글래스를 모방할 수는 있어도, 리퀴드 글래스를 만든 사람의 발상, 사고 과정, 여러 아이디어, 그리고 리퀴드 글래스의 현 상태까지 개선해오면서 느낀 아쉬움과 대안 모색 능력은 따라오지 못합니다. AI의 입맛은 언제나 패스트 팔로워입니다.

이는 놀랍게도 휴먼 슬롭 회사들과 상당히 유사합니다. 휴먼 슬롭 회사들은, 객관적으로 반박이 어려운 지표를 제외하면, 제품을 맛깔나게 만드는 것에 투자할 시간도, 여력도, 능력도 없는 상태가 되어버리고, 그렇게 윈도우, 세일즈포스, SAP 같은 제품들이 탄생합니다. 그게 잘못됐다는 것은 아닙니다. 그저 그들 회사의 피드백 체계에 최적화된 제품이 탄생하는 것입니다.

물론 이는 2026년 6월의 생각이지, 갑자기 돌파구적인 AI가 나타날지도 모릅니다. 제발 그랬으면 좋겠지만, 아직까지 AI 발전 양상을 보아할 때, 맛깔난 제품을 알아서 척척 만들어주는 AI의 등장은 요원해 보입니다.

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