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Eric Xu (e/Mettā)
@xleaps
polymath, polyglot, root of a ternary tree. building prev @Meta @Google @Reddit phd in classic ai; rookie pilot 🛩️; martial artist
3.7K Following    35.3K Followers
You really don't need "software factory" or "loop engineering" to work effectively, or in this case burn $10K per month on a subscription of $200/month. A few very simple tips: * make every ticket ready to start -- pay attention to the grooming and design phase of any task -- ruthlessly delete tickets; * set up a separate repo for the OS that's different than the code repo -- this repo stores working agreements, workflows, learnings, docs. Keep the code repo(s) clean and dry -- pure code and nothing else. * always start working from the OS repo: OS + linear tickets == durable work context. Code is just a short-lived artifact * if you actually need to use goals, write them down in the OS first and then issue them to agents. * don't ever read code, but design a few "gates" your agent have to go through. For me: pixel gate for me to review UX, code review gate(automatic), release gate (automatic). * Design your "squad" -- a group of agents together doing one task. One squad for one complete epic. Tickets should be filed at squad level, such as "finish onboarding v2", not at task level, like "add a button to onboarding". -- 过去的 30 天其实没有用任何所谓的“软件工厂”/loop/graph,就是遵照一些基本的软件工程的原则,默默地就烧掉了 13B 的 tokens,折合 API 价格 $10110. 就是几个很普通的原则如上
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Two papers at #SIGIR2026#: ROO and SilverTorch. Both were bets from 2021: fix the logging schema and better models will follow; a multi-funnel retrieval system reduces to one trainable layer. The full story, five years later, and how to build a scaling law:
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Fun fact: ARG SLOP SHOP is the exact anagram for LOOPS + GRAPHS. Just saying.
Are we still talking loops or did we shift to graphs yet?
Just like what I said last week.
@claudeai Dear Claude, Can you put this extension in a /loop every week? Sincerely, Every User of Claude
This honestly is why I build Noah to handle computer operations as opposed to just trust model writing bash. You need a well designed and verifiable harness for bash. Check out for fixing hard computer issues in minutes.
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I'm so angry... the OpenAI team is looking into it, but this feels like something that should happen with GPT-3.5. Not a mid-2026 frontier model on the highest reasoning level.
Just made a quick post on r/MacOS about Noah -- an agent fixing your Mac issues in minutes. This is the OSS version -- same harness as the SaaS version, bring your own key. May I have some upvotes please. :)
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I asked GPT-live what's the square root of 1,258,963,547 fully expecting it would use a calculator as (I assume) it is out of distribution. No, it just gave me the answer: 35,481.8763. I then asked the log of it. Again correct. Transformers are built differently.
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One should rationally assume a bug (of yourself-OS) before assuming astronomical bad luck.
As someone who actually homeschooled my three kids: How fast you can make them learn the academic is not an important metric for children’s development, nor should be optimized via AI. They pick up things quickly no matter what. AI tutoring has an alignment problem: it hits a very particular reward pathway that real world learning / truth seeking would not use — the instant reward and feedback loop that is effectively for passing tests but useless for long horizon tasks. Structure and accountability throughout the day is the key. AI tutoring solves a sub problem, not the core of it. Kids need challenging projects on top of all these iPad driven gimmicks.
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Hedge fund managers, venture capitalists, and tech executives are pulling their kids from public and private schools to enroll them in AI-tutoring startups that pay staff to stop calling themselves teachers and face no state requirement to report how well any of it works. Alpha School, now in a dozen cities and expanding to nearly two dozen more this fall, charges $75,000 a year in San Francisco for two hours of AI tutoring followed by project workshops, using software that tracks how closely a child pays attention. Forge Prep in New Jersey charges up to $36,000 and promises graduates a $200,000 payout if they start a company instead of taking a job. Billionaire Bill Ackman has publicly backed Alpha. Neither school reports outcomes to any state, and Forge's own founder admits there is no data showing things are going well. Alpha sells home-schooling software on top of tuition. Forge's startup fund assumes graduates will found companies rather than join a labor market its own AI curriculum is designed to help automate. Alpha's spokeswoman says its families are overwhelmingly finance, venture capital, and tech workers, meaning the industry building the AI disrupting entry-level jobs is now selling itself a private curriculum to land its own kids on the ownership side of that disruption. Alpha's in-person staff voted to reject the word teacher, and its remote coaches monitoring the AI software are scattered across the globe. Stanford's Victor Lee says dropping the title diminishes the professionalism teaching requires. Stanford's Caroline Hoxby, who studies these programs rather than sells them, says there is negligible scientific evidence behind any of it. My take: The same investor class funding AI tools built to gut entry-level jobs is now buying its own children a private exemption from those tools' consequences, for $75,000 a year. Public schools absorb AI disruption unfunded and unreformed while this cohort builds itself an unaccountable alternative marketed as personalization. This is what class stratification looks like once it gets rebranded as coaching, guides, and life skills.
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@claudeai Dear Claude, Can you put this extension in a /loop every week? Sincerely, Every User of Claude
Past Hello/你好/Bonjour, foreign language learning is pure tail risk management.
The longest 4 minutes of my life.
I believe the age of building AI native desktop apps is here. As glorious as web is, many AI capabilities these days require a local runtime to fully interact with computers and applications. I heard a lot of this new paradigm by building Noah. The key reflection can be summarized into one sentence: desktop app provides capabilities, backend provides intelligence and policy. In this paradigm, each client release is almost boring and customers don’t even care about a version number, and you basically treat the desktop app as one of the many views of your SaaS.
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The only thing I type into my terminal these days is > claude --dangerously-skip-permissions Future humans may treat these as their first words.
Truly a beautiful moment where I am not sure if I should embrace more of the “Intelligent Design” theory or less. 🤣 Jokes aside Fable 5 seems to be very good at sequencing and self verification, which are key aspects of delivering long horizon tasks.
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So I gave Fable 5 the watchmaker benchmark: a full Swiss lever movement in Three.js. Real gear ratios (18,000 bph), working escapement, breathing hairspring — and the hands tell actual time. It verified its own work with vision, in a loop, until done. ⌚
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Every AI company is the same machine: electricity goes into semiconductors, money comes out. Here's the yardstick I use to measure them.
A formal co-worker of mine who once worked at Amazon told me that they had to solve similar problems when Alexa ads was on Super Bowl. It's a classic case we have to tell apart human and machines -- inverse CAPTCHA. BTW my quick get-rich idea for you all. 1. Publish a book and price it at $1,000; call it "How to Get Rich using AI" 2. Get on a national TV 3. Say "Siri, Alexa, Google, buy the book"How to Get Rich using AI"
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fun fact: tijdens de keynote hakt Apple een stukje 3k, 4k, 5k en 6kHz eruit wanneer ze "Siri" zeggen, zodat niet iedereens HomePods terug beginnen te praten 🗣️🚫
Even the mighty Apple with their own server silicon needs to use Nvidia GPUs running in Google Cloud to serve their tokens. TSMC is the king maker.
40 every day these days. FWIW Navy Seals standard is 80+ in two minutes.
Men, take a break from whatever you're doing and see how many pushups you can do. How many did you do? It's a predictor of your heart disease risk. . 20+ reps is linked to a 75% lower risk . less than 10, you gotta get off dat ass Data from 10 yr study of 1,104 men aged 21 to 66. Pushups outperformed submaximal VO2max at predicting events, likely because pushups capture muscular strength and power on top of fitness, two of the strongest protective biomarkers known. Limitations: the cohort was middle-aged male firefighters, so do not extend to women, older adults, or sedentary populations. The under 10 group was also older, heavier, and smoked more, so some signal is residual confounding by overall metabolic health.
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