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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.
Latest Essays
What I'm thinking about right now.
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.
More on Announcements
Three essays from the archive on a different angle.
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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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'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 for you instead of on you. The background I've spent the last
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What you might have missed
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How I Invest
Real allocation. Real numbers. The portfolio that survived a $300K mistake.
ReadOwn or Be Owned
In the AI economy, you're on one side of the split. This is how to find out which.
ReadSovereignty
The case for building a life nobody can revoke — money, jurisdiction, identity.
ReadYou might not have read this
A couple of older essays we think are worth a second look.
We Swapped Our TTS Model. The Older, Free One Won.
When we launched Ghost Narrator, we used Fish Speech for voice cloning. It worked. The voice quality was past the threshold of "nobody notices." We were happy with it. Then we had a licensing problem. Fish Speech's license is restrictive for commercial use. We were publishing 200 narrated blog posts a month on a model we couldn't fully commercialize. That needed to change. So we tested alternatives. The obvious move was Mistral's new TTS model — newer, from a well-funded lab, getting attenti
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I Self-Hosted My Own AI for $700 a Month. Here's What I Actually Learned
TL;DR: * Full self-hosting of top-tier AI costs $20,000–$50,000/month and isn't worth it for most businesses. * Cloud-hosted models (AWS Bedrock, Google Vertex, Azure) are the underrated middle ground — you get the best AI with your data staying in your account. * I built a private AI setup for $700/month and it covers 80% of daily tasks. Here's the full breakdown, the real costs, and a decision framework for what makes sense
Read this essayRun the numbers yourself
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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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