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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
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The Inventory
When I was figuring out what to do after SimpleDirect, I made a list of everything I had.
More on Decision Log
Three essays from the archive on a different angle.
We're Shutting Down Our Cloud-Hosted Apps
Effective immediately, we're sunsetting the cloud-hosted versions of the following apps: * Founder Simulation Game * SimpleDirect Changelog * SimpleDirect Chat * SimpleDirect Roadmap SimpleDirect Financing, our legacy fintech application, is not affected. Let's be real These apps have no moat. We know that. AI can rebuild any of them in an afternoon. Pretending otherwise - keeping servers running, maintaining hosted vers
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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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What You Kill > What You Build
OpenAI killed Sora Not sunsetted. Killed. The product they hyped as the next ChatGPT. The one Disney was about to invest a billion dollars around. The one that was supposed to turn OpenAI into the creative engine of the AI era. Gone in an afternoon. The reason is almost boring in how obvious it is. Sora was eating compute - the most expensive resource on earth right now - while Anthropic was running away with the market tha
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You might not have read this
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Things You Can't Install From a Prompt
I killed most of my businesses in December 2025. The SaaS. The acquisitions. The MRR goals. The courses and playbooks. All of it was sitting in the kill zone - information products, tool products, advice products. Everything AI was eating for breakfast. A few years ago, you could build a business around knowing things other people didn't. You could package expertise into consulting engagements and courses. You could be the per
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How 0% APR Credit Cards Actually Work — From the Other Side of the Desk
A few years ago I was working with a homeowner in Tennessee who needed $35,000 for a renovation project. He had one requirement: 0% APR. Wouldn't consider anything else. We found him a card with a 21-month intro period at 0%. Best terms on the market. He applied, got approved — for $20,000. Not $35,000. Twenty. Now he's got a $15,000 gap and no plan for it. But that wasn't even the real problem. The real problem was that the card had to ship. Physical card. In the mail. To Tennessee. He need
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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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