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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 5 Layers AI Can't Eat
This is Chapter 4 of 7 in the AI Displacement Series.
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I Am My Hedge Fund
I Am My Hedge Fund February 2026 TL;DR: * I spent $300K and hired 5 full-time people to build a quant trading operation in 2020-2021. * We had researchers, strategists, developers. We still lost. * Today I manage my own money alone, with my own thesis, published openly at founderreality.com/investing. * No fund. No fees. No hiding. Here's why I think one person with conviction beats a team with algorithms — and why the era
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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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A couple of older essays we think are worth a second look.

Open Source AI Is Smaller Than You Think. I Did the Math.
The Week That Changed My Mind I spent last week inside open source AI. Reading repos. Testing bundles. Following the usual suspects - Open WebUI, Ollama, LM Studio, Jan, Goose. By Friday I was convinced every serious founder was self-hosting something. GitHub stars everywhere. New releases every week. The timeline on my feed was wall-to-wall "ditch ChatGPT, run it local, own your stack." Then I did the math. Here's what I actually found. Stars Lie. Forks Tell the Truth. GitHub stars are
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You Cannot Buy What Can Only Be Built
Meta spent $14.3 billion last year to buy half of a data labeling company. They made its 28-year-old CEO the head of their Superintelligence Lab. Gave him a title that didn't exist six months before. Put him above researchers who'd been doing AI before he was in high school. Nine months later, his team reports to other people. A new group controls the data pipelines. The researchers he was supposed to lead are leaving. And the
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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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