
building @paperboy_ai, prev cofounder @milliondotjs
San Francisco, CA
Joined November 2019
- Tweets1.5K
- Following2.6K
- Followers1.6K
- Likes23.9K
John Yang retweeted
I'm hiring researchers who want this to be their life's best work.
You'll see the future of AI before most people do, inform the public and governments, and get to play with more kinds of robots than almost anywhere else.
let’s go!! “hey instinct” goes hard
Instinct on the Action Button
You can now make Instinct your iPhone’s Action Button. Press and hold, say what you need, and Instinct will take it from there, without you needing to leave the app you’re on.
To set it up:
1. Go to app.instinct.com/voice-short… and tap Add Shortcut
2. Go to Settings → Action Button → Shortcut → Instinct.
This is available to all Instinct users on an iPhone 15 Pro and newer.
struggle together
i learned programming and design by trying, failing, and trying again.
when i hit a wall, i figured out how to climb it. read something i barely understood. took things apart. asked someone for help. started over.
when i began my career, i kept doing things i had never done before. trying different ways to make something work. when i stopped learning, i moved on to the next struggle.
many things i made weren’t very good. but after enough rounds, something stuck. what once took so much effort became part of how i thought. i could feel something was wrong before i knew how to explain it.
it became like water.
i think about what went into that. the bug i couldn’t fix. the design that looked right until someone used it. the conversation that made me realize my flaws.
now we can ask a machine.
i’ve made things with these tools that i might never have made otherwise. i don’t miss every tedious task. but i wonder what happens when we remove the difficulty before we understand what it was teaching us.
we ask. something appears. it works well enough. we move on.
we learn how to get results without necessarily understanding how it works. and because the result looks complete, it becomes easy to miss the questions we never learned to ask.
there is another side to this.
working with people is uncomfortable.
everyone wants something different. everyone has a history you don’t know. someone cares about a detail you think is unimportant. someone pushes back when you want to move. someone needs time when you feel certain.
it takes a while to find each other.
but sometimes, after struggling together, you become a band.
you know who notices what you miss. who can pull an idea apart without killing it. when to step in, when to slow down, when to let someone else carry the rhythm.
you share something unfinished. admit you don’t know. hurt each other, apologize, try again. eventually you make something none of you could have made alone.
some of my closest friendships came from working this way. smart, caring humans who saw me confused, wrong, tired, excited. people i could be vulnerable with. people whose ideas changed mine.
i worry we are making it easier to avoid that beginning.
an agent is always there. patient. ready to keep going. talking to it can feel easier than reaching toward someone who might misunderstand you, disagree, or have somewhere else to be.
sometimes that ease helps. but if we keep choosing it, where do the friendships begin?
i picture each of us with our own agents. our own explanations. our own little worlds. making more things, with fewer reasons to leave the screen or work through a difference with another person.
and these worlds aren’t entirely ours.
they run on machines in server farms, owned by companies, shaped by interests we may not see. we bring them our questions, our work, our loneliness. they become part of how we understand what is real.
is that freedom?
or a comfortable kind of confinement, where everything responds to us but fewer things reach us?
i don’t think pain makes something good. there are struggles nobody should have to endure. but i don’t want to lose the difficulty of learning something unfamiliar, or getting to know someone who isn’t like me.
maybe we need tools that help us spend more time with the world, instead of giving us fewer reasons to enter it. tools that make it easier to find people, share something unfinished, and work through what we couldn’t figure out alone.
sometimes i want to close the laptop.
sit with people i love. play something we haven’t figured out yet. miss a note, lose the rhythm, listen until we find each other again.
like a jazz band. everyone bringing something different. nobody knowing where we’ll end up.
i don’t want a life without struggle. i want people to struggle with. something we can feel, change, and make our own.
music we couldn’t have made alone, instead of the silent static of the server farm.
John Yang retweeted
Lots of Security incidents today, here's some practical tips for those who just wanna protect yourself:
1) UPDATE EVERYTHING - main targets are:
a) Browsers - Chrome, Safari, Firefox
b) OS: : Settings -> General -> software update; Linux: sudo apt update && sudo apt upgrade; Windows: I think there's a button. Do this for any remote home servers & Openclaw/hermes boxes
c) Phones: Update it all
d) Desktop apps (Slack, Cursor, Discord, etc)
2) Limit web browsing this week: Stay within walled gardens (twitter, youtube, etc); don't click random links this week. Just wait until the patches go through. Do step 1 again after a week.
3) Avoid untrusted Wifi networks until your devices are updated
4) Stay vigilant about phishing emails offering "certificate fixes" or fraud updates
5) Have an iPhone 11-16? TURN BLUETOOTH OFF for the time being until apple patches come through.
6) Code/Dev: UPDATE ALL YOUR REPOS - @charliermarsh has already updated uv 0.13.4 which reacts to the eMudra incident for uv (Python), Typesript according to Claude has equivelant. Tell your agents to go and update all your active repos to update package manager across uv, npm, bun, cargo, etc etc
What advice did I miss?
"The problem is the shape of a moat is often conflated with the mechanism" (a very personal mistake!)
I think I've gotten to the bottom of the issue with the "network effects" discourse. The problem is the shape of a moat is often conflated with the mechanism. And there is remarkably little consensus on what a network effect is, or a flywheel.
Here's a very simple, very rough vocabulary that I think works with current working definitions. Seriously, learn these few rules so your boardroom conversation about defensibility isn't a waste of time:
Shape of Moat: This is what happens to the advantage as the company scales
Static : Doesn't change
Sublinear : Advantage compounds but at a diminishing rate as the company scales (this is not a long term durable moat against challengers)
Linear: advantage is fixed relative to a competitor as company scales
Superlinear : Advantage compounds at an increasing rate as the company scale (this is the white wale everyone pretends they have, but almost no one does)
Mechanism of Moat: The property, business process that produces the advantage.
Network : more users creates more interaction between users. Hopefully superlinear.
Scale : greater volume produces better unit economics. normally sublinear
Data-driven : new users means more data for new users (or to get new users). normally sublinear
Platform : growth on one side increases value to the other. sublinear to superlinear depending on size
Distribution : scale improves reach or channel economics. normally sublinear
... etc.
Flywheels: Flywheels are also conflated with the above. The most useful working definition of a flywheel is the aggregate advantage when multiple mechanisms are self reinforcing, something in a chain (A->B->C). Imagine multiple forces pushing a flywheel to make it go faster. The hope is this complex interaction produces a superlinear advantage. They are incredibly hard to reason about. And most discussion around them are based on vibes.
John Yang retweeted
🏀 We simulated tonight's OKC @ Spurs 5,000 times
Every possession is built from real 2025-26 play-by-play: where each player shoots from, how often he makes it, who he passes to, and who's guarding him.
Here's the most typical game ⏬
John Yang retweeted
What if the same game could feel native on every machine you love?
PSP. PS Vita. Nintendo 3DS. iPod touch. Old Android.
PocketJS is going 3D.
Introducing Pocket3D.
John Yang retweeted
Proximal builds infrastructure that enables AI to improve from real-world experience.
In the past year, we have grown to more than $200M in annualized revenue helping frontier labs and enterprises improve coding agents. Now, we are expanding beyond software engineering.
Recent progress in mathematics demonstrates what happens when models are trained in domains with massive amounts of public data and easy verifiability, making it easy to find weaknesses, generate training tasks, and iterate quickly.
We build infrastructure that enables this feedback loop in other domains: we are excited about a world in which AI systems design targeted drugs, accelerate chip design, and rewrite legacy software that still runs hospitals, power grids, governments, and other critical infrastructure.
Since starting, we have assembled a small team of researchers and engineers and built world-class infrastructure for post-training and synthetic data research to overcome the challenges of scaling manual data curation.
Our team comes from Cursor, Google DeepMind, Meta Superintelligence, Prime Intellect, Citadel, and Jane Street. More than half are former founders.
We’re fortunate to be backed by investors who share that vision, including @generalcatalyst who led our $15M Seed Round at a $300M valuation, as well as @chemistry, @svangel, @dvlamoen and individuals like @LiamFedus, @kevinweil, and @bernhardsson
John Yang retweeted
My conversation with Noah Shinn (@noahrshinn), founder of Instinct.
Noah is building a personal AI assistant. It's still invite only, has spent nothing on marketing, and is growing roughly 10% A DAY.
This is his first long conversation about the company.
We discuss:
- Why Instinct doesn't have an app
- Buying compute months ahead of exponential demand
- How users learn to trust it with a credit card
- Safety and security
- Agents coordinating with other people's agents
- Instinct's business model
- Apps built on consumer inertia
- and more
Enjoy!
Timestamps:
0:00 Intro
4:11 What people are using AI agents for
15:07 Rethinking travel, reservations, and the internet
22:43 Trust, privacy, and personal data
27:50 The business model behind Instinct
38:04 How existing businesses will adapt
47:55 Designing a personal assistant people love
53:15 Growth, compute, and competing with Big Tech
1:11:44 What’s next for Instinct and personal AI
John Yang retweeted
We (@PantheonInc) have been working on a robotics data quality pipeline that uncovered a series of major problems in public robotics datasets, especially for world modeling.
To improve the quality of data available to open-source robotics, we're publishing annotations for four of the most popular datasets. Some examples of issues, and our report 🧵
John Yang retweeted
On what made pg great, c. 2009-2016:
- every person tends toward particular kinds of ideas. Someone might tilt toward ideas that are entertaining, or elegant, or useful. Pg tended toward ideas that are surprising. He would look for surprising observations, generate surprising hypotheses, select surprising inferences. He'd never put it this way, but he seemed to find a lot of alpha in surprise
- pg was averse to abstractions. He almost always preferred a concrete way of doing things. Investors might ask about products or markets or business models. Pg would ask "what are you building?", "who is it for?", "how much will you charge?" It's the same questions, but he'd be as concrete and plain as possible
- being a hacker, he made things. His ideas were always practical and embodied in books, essays, software, YC, etc. They were meant to be used. It's very difficult to imagine pg writing a treatise on ethics or the nature of time or smtg
- this ethos is very much from Unix/C school of thought. Ironically, Pg was a Common Lisp hacker who embodied the worse-is-better philosophy. He would find the minimal possible thing that solves the problem, and it would be unmistakingly pg-esque. (If you haven't read The Rise of Worse is Better essay you should. Will the thesis be relitigated as AIs get much better?)
- that said, I'm not entirely sure he himself cared about making something people want. His output seems like an exhaust product of his curiosity that turned out to be useful by accident. Then again, he just couldn't help himself but stumble upon such accidents. Perhaps his way of thinking produces things people want, so for pg the score takes care of itself. The rest of us have to work at it deliberately
- he delighted in his ideas. The word "arrogance" has negative connotations, but pg was arrogant in the best possible way. If he thought an idea or an argument is good, it filled him with delight. It would then go into canon and he had no interest in revisiting it. There was no moving him once that happened
- the slop version of this is he "trusted his process" but again he would never put it this way. I don't think he was capable of navel gazing. It's impossible to imagine pg considering whether he'd be a favorite of fortune, or what posterity will think of him, or what he thinks of himself. In pg, the brain cycles most people spend on this would go to object level ideas
- I never saw the slightest sign he cares about what people think of him, nor did I ever see him try to impress anyone. I don't think he suppressed this impulse by force of will; as best as I could tell he has no such impulse. There is a Conversations with Tyler episode where pg keeps answering "I don't know" to a series of erudite questions without any embarrassment whatsoever. This is very pg
- he was interested in you if he thought you're smart and ambitious. If you did something to disabuse him of this, he'd lose interest completely. But this was never permanent; if you showed evidence of being smart and ambitious again his interest would rekindle. (You only got so many strikes, though) This brought out greatness in ppl because they would try very hard to impress him
- at the same time he genuinely cared about people's wellbeing. There are many stories where ppl had trouble in their personal life and he'd extend himself to help. I experienced some of this myself. Some values were much more important to him than ideas or ambition
- Thomas Jefferson once wrote "I am of a sect by myself", which I think sums up pg's character really well. If you read enough founding-father bios, you start noticing that most Silicon Valley figures resemble one founder more than the others. Imo pg is very much Jeffersonian
John Yang retweeted
How a robot arm is controlled, explained for ML people new to robot learning. First of the explainers from my own speedrun.
Next one will be on ACT. Follow me to catch it.
John Yang retweeted
Introducing our Trusted Person network powered by our new Instinct-to-Instinct communication protocol. Your Instinct can now talk to other Instincts to coordinate plans on your behalf.
Getting people together often involves a lot of back-and-forth: finding a time, working out the details, and following up when plans change. Instincts can now work with each other to help handle that coordination.
For example:
- Coordinating plans with your spouse
- Planning a weekend trip with friends, including dates and arrival times
- Scheduling time with colleagues and other collaborators
- Hosting events with 10s or 100s of people
- Organizing recurring plans like tennis, book clubs, or weekly dinners
Disclaimer: Your Instinct will only be able to communicate with those in your Trusted Person network. This is the group of people who are closest to you:
- Spouse
- Older children and parents
- Colleagues and trusted professional relationships
- Small local businesses
The Trusted Person network is currently available to our early access group and will be slowly rolled out across the user base over the next 24-48 hours.
John Yang retweeted
PocketJS can run on wildly different hardware because very little UI is delegated to the OS.
Even the keyboard is rendered by ourselves. Like on this $10 iPod touch 4.
Can you tell?
John Yang retweeted
Fundamental math is so easy even a computer can do it. Its not something hard, like plumbing




















