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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 I get whenever I mention that I'm training a model, and the answer
Read storyFounder Reality is written by George Pu — $10M+ portfolio built by 27, no investors, no co-founders.
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The Lie Every $997 Trading Course Sells You
What two years of quant trading taught me before I shut it down.
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Free at the Base, Paid at the Frontier
Open source AI didn't die. It ran out of sponsors.
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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 didn't think this was possible. Most people still don't. — George
Read essayFrom the series · The AI Displacement Series
The Math of Ownership
This is Chapter 5 of 7 in the AI Displacement Series.
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Three essays from the archive on a different angle.
Why I'm Open-Sourcing My Portfolio
What active thesis investing actually looks like — and why I'll publish every bet I make.
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Why I Sold My Index Funds in February
Why the index gospel was built for a world that no longer exists.
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The Lie Every $997 Trading Course Sells You
What two years of quant trading taught me before I shut it down.
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You might not have read this
A couple of older essays we think are worth a second look.

I Almost Paid $4,000 a Year to Rent My Own Voice
I almost paid $4,000 a year to rent my own voice back to me. ElevenLabs. $330/month. The model that powers it? Open weights. The inference? Runs on 3GB of RAM. The voice cloning? A 30-second sample and a model you can download for free. The only thing between you and the exact same output is a setup guide nobody bothered to write. So I wrote one. Then I open-sourced it. The gap The gap between what AI costs to run and wha
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How I'm Building Multi-Cloud (Before Spending a Dollar)
This is a follow-up to my last post about cloud lock-in. That piece was about the philosophy — why we don't go deep on any single provider's managed services. This one is about what happens next. You've decided you don't want to be locked in. Great. Now what? I'll be honest — I expected this part to be straightforward. Pick a few providers, compare prices, split the workload. Done. It wasn't like that at all. Some Context I run a small company. Three people. We're building AI models that
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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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