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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
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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.
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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 Resistance
Even after I saw the numbers — 70% of my work exposed — I didn't act for 3 months.
More on Own Your Tech
Three essays from the archive on a different angle.
Your ChatGPT and Claude Conversations Are Court Evidence
Greg Brockman's journal became Exhibit 161 this week. The next chapter writes itself. Someone's ChatGPT history becomes Exhibit 162. That sentence sounds like speculation. It isn't. The infrastructure is already in place. The court orders are already in place. The only thing missing is a famous enough defendant for the headline to break the way Brockman's did. The court order most people haven't read In May 2025, Magistr
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Why I chose Unsloth (before training a single token)
Honest note up front: I have not yet fine-tuned anything with Unsloth. I have not run a single training job. What I did is spend three weeks researching fine-tuning frameworks before writing a line of training code — and at the end of that research, I picked Unsloth and committed to it. This post is about why. I'm writing it now, before I start, for two reasons. First, so that if this decision ages badly I have to own it public
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One Rack Is a Cloud
What colocation is, and why most AI founders have never heard of it
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A couple of older essays we think are worth a second look.

When to Build vs Buy in AI (My Edition)
I've gotten this wrong before. Not in a small, low-stakes, "oops we picked the wrong software" kind of way. In a way that cost me a year of my life, hundreds of thousands of dollars, and nearly killed a business. So when I tell you the build vs buy question in AI is the most important decision a founder can make right now, I'm not being dramatic. I'm speaking from the scar tissue. The Year I Built What I Should Have Bought
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GPU Cloud Shopping in Canada: What's Actually Available
Availability and pricing in this post reflect what I found as of April 6, 2026. Cloud providers update their infrastructure regularly, and I hope some of this changes soon. If you find something different, I'd genuinely love to hear about it. This is a series of me publicly documenting my journey. The next post is me documenting the Three Weeks Later. I chose Canada. That might sound like a strange way to start a post about clo
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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.
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