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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 storyFounder Reality is written by George Pu — $10M+ portfolio built by 27, no investors, no co-founders.
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What I'm thinking about right now.
What We're Building: An Open-Weight Canadian Model Series
The model is the smallest part of the story. Here's what it is, what it isn't, and what comes next. Today we shipped flash-1-mini. It's a 4-billion-parameter open-weight model, fine-tuned for Canadian context, bilingual in English and French, that runs on a laptop with no cloud dependency. You can download it, run it offline, and own it. The weights are yours. I want to write about what it is, what it isn't, and what comes after — because the model itself is the smallest part of the story.
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While You Were Watching the Chatbots
Over the past two years, Canada quietly rebuilt the question of who controls its artificial intelligence. Not in one announcement. That's the point. There was never a single moment loud enough to make you look up. The decisions arrived in fragments — a Christmas Eve letter, a contribution agreement with a file number, a press release at a university most people don't follow, an MOU with the important parts blacked out. Each fragment was, on its own, small enough to ignore. Together they red
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Canada Is Renting Its Sovereignty
In the last piece I wrote about the anchor: Canada designated Cohere as its national champion at the foundation model layer — $240 million, a 24-year term, an MOU that called the company "the only sovereign, cloud-agnostic large language model operating in Canada," and a fund Cohere itself proposed. That designation is settled for a generation. This piece is the opposite kind of writing. The last one was analysis of public records, and I tried to stay out of it. This one carries a point of
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 Own Your Tech
Three essays from the archive on a different angle.
Why CBLRE Matters More Than the Model
Yesterday we released CBLRE — the Canadian Bilingual Legal and Regulatory Evaluation. The day before, we released flash-1-mini, a 4-billion-parameter bilingual Canadian legal AI model. Most of the launch coverage has focused on the model. That's the wrong artifact to focus on. The model is the proof. CBLRE is the moat. Here's why. The gap nobody had filled Before yesterday, no standard public benchmark existed for Canadian bilingual legal AI evaluation. That sentence is bigger than it so
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Sovereignty Is Not About Ownership
A vice-president at a Canadian university called me last month. Her president had told her the institution needed to be on sovereign AI within the year. The provincial government had announced a funding program. Other universities were already applying. She wanted to know what she should be evaluating. I asked her what sovereign meant in this context. She paused for a long time. Then she said, "I think it means the data stays in Canada." I asked what about it staying in Canada specifically
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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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You Want Out of OpenAI. Here's Where to Actually Start.
A week ago, I published AI Real Estate. The framing was simple: the AI you use today is rented — like an apartment. There's a ladder above it. Most people don't know the ladder exists. The response was the part I didn't expect. Dozens of people messaged me with versions of the same question. I read it. I get it. I want out. Where do I actually start? Some were lawyers. Some were founders. Some were accountants and consultant
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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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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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