Welcome to Founder Reality
Here's what's new
The Barrier to Building AI Isn't Talent. It's Capital.
Startups in San Francisco raise $18 million just to afford the compute. We did the same work bootstrapped. The real gate on who gets to build AI isn't ability - it's who can afford to be in the room.
Read storyFounder Reality is written by George Pu — $10M+ portfolio built by 27, no investors, no co-founders.
Latest Essays
What I'm thinking about right now.
We Are No Longer Building a Canadian Legal AI Model
Yesterday I published the post-mortem: we asked flash-1-mini ten questions any Canadian lawyer would consider basic, and it invented seven citations. That post was about what broke. This one is about what it changed. Because two weeks ago I was telling people we were building a Canadian legal AI model - and today we decided we're not. I want to walk through why, because the answer changed how I think about what "building AI" actually means. The original scope The original scope made sense
Read essay
We Asked Our 4B Legal AI 10 Questions. It Invented 7 Cases.
An honest post-mortem on our own model — and what anyone building or buying AI should take from it.
Read essay
Open Weights, Closed System
Google shipped local AI on the Mac this week. The weights are Apache 2.0. The experience is a walled garden. That's not a contradiction. That's the playbook.
Read essayFrom the series · 90-Day Action Plan to Surviving AI
The Layers
After I inventoried what I had, I needed a way to think about what was actually safe.
More on Investing
Three essays from the archive on a different angle.
The Lie Every $997 Trading Course Sells You
What two years of quant trading taught me before I shut it down.
Read essay
Why I Sold My Index Funds in February
Why the index gospel was built for a world that no longer exists.
Read essay
Why I'm Open-Sourcing My Portfolio
What active thesis investing actually looks like — and why I'll publish every bet I make.
Read essay
Straight from the inbox
The weekly newsletter — long-form, no fluff.
Latest Videos
Real talk. No script.
What you might have missed
Three things from across the site you may not have found yet.
You might not have read this
A couple of older essays we think are worth a second look.
Closed Orchestrators Will Commoditize. Open Ones Will Compound.
Two AI infrastructure announcements landed in the same week. Ours was a model. We released flash-1-mini — a 4-billion-parameter bilingual Canadian legal AI — under Apache 2.0, alongside an open benchmark (CBLRE), an open training corpus, and the methodology behind both. The model runs on a MacBook. It runs on a Raspberry Pi. The weights are downloadable. You own the file. Perplexity's was an orchestrator. At Intel's Computex keynote in Taipei, CEO Aravind Srinivas demonstrated what the com
Read this essay
Why I'm fine-tuning a small model (and why it runs on your laptop)
I'm training an AI model. It's going to run on a laptop. Three weeks ago I would have told you I was training a 70-billion-parameter model, the kind of thing that needs a data center to breathe. I'm not. I'm training a 4-billion-parameter model that runs on a Mac Mini. If the smaller one works, a larger companion model may follow. But the 4B is the bet. This is the first post in a series where I'll share what I'm building, why,
Read this essayRun the numbers yourself
Free calculators and assessments. No email wall.
Recent threads
The latest from @TheGeorgePu.
Canada's AI hardware reality check — what's actually available vs. what founders think they can buy.
GPU shipping is the tell. If you can't physically own the compute, you don't own your AI stack.
I only write code when it's 10/10 important. Slowing down is the real productivity move in 2026.
Mac Studio supply is crunched. Apple's quietly rationing M3 Ultra — AI builders feel it first.
The Newsletter
Real numbers. Expensive lessons. No performance.
Join 5,000+ people who'd rather own than rent.