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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
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.
GPU Cloud Shopping in Canada: Three Weeks Later
Three weeks ago I wrote a post called GPU Cloud Shopping in Canada: What's Actually Available. The short version: I checked every major cloud provider with a Canadian data center, trying to rent a current-generation GPU to train AI models in this country. Google Cloud Montreal had chips from 2017. AWS listed the right hardware but wouldn't let me actually run it. OVHcloud's H100s turned out to be in France, not Quebec. DigitalOc
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What fine-tuning actually costs (it's not what you think)
Training an AI model is assumed to cost millions of dollars. It's the single most common misconception in the space, and it's wrong by roughly two orders of magnitude for the activity most people actually want to do. This post is a short, concrete breakdown of what fine-tuning actually costs in 2026, what it doesn't cost, and where the real spend lives. I'm writing it now because 'how much does this cost' is the first question
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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
Read essayFrom the series · The AI Displacement Series
The 5 Layers AI Can't Eat
This is Chapter 4 of 7 in the AI Displacement Series.
More on Announcements
Three essays from the archive on a different angle.
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,
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Announcing Ghost Narrator: Self-Hosted AI Narration Stack
We publish about 200 blog posts a month on Founder Reality. Every post gets a narrated audio version — you can listen instead of read. The obvious solution was ElevenLabs. Best-in-class voice cloning, simple API, great output. $330/month for the scale we needed. We almost signed up. Then we tried something else. We ran an open-source model on a laptop. Qwen 3.5 14B for script rewriting, Qwen TTS for voice cloning. The whole pi
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I'm Starting to Write About Money
I'm starting to write about money. Not affiliate-stuffed credit card listicles dressed up as advice. Not "the one weird trick your bank doesn't want you to know." I mean how the system actually works from the inside. What I do with my own money. The math nobody shows you because it's boring and doesn't sell a course. This is the personal finance layer of Own or Be Owned — understanding the machinery well enough that it works
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The Post-AI Manifesto
The five layers AI can't eat — and how to build a career inside them.
ReadSovereignty
The case for building a life nobody can revoke — money, jurisdiction, identity.
ReadAI Displacement Series
Seven chapters on what's actually happening, and what to do about it.
ReadYou might not have read this
A couple of older essays we think are worth a second look.
AI Real Estate: From Apartment to Mansion
AI Real Estate: From Apartment to Mansion A $3,999 Mac Studio runs a 122 billion parameter AI model on your desk. Running the same model on AWS costs roughly $5 an hour. About $3,700 a month if you leave it on. The Mac pays for itself in five weeks. A $3,999 Mac Studio runs a 122B parameter AI model locally. Running that same model on AWS: $5/hour. ~$3,700/month if you leave it on. The Mac pays for itself in five weeks. I
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The Umbrella Closed on a Monday
The Umbrella Closed on a Monday I tweeted something Monday morning about France and nuclear weapons. Felt strange typing it. I help founders figure out where to build their lives. I'm not a foreign policy guy. I don't have a PhD in international relations. I'm a 27-year-old in Toronto who runs a small business and posts on the internet. But I've been saying for two years that the world is about to test who actually owns their
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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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