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Fine-tuning your own AI doesn't cost $35,000. It cost us about $50.
Two A100 graphics cards. Spinning quietly in a Google datacenter. Five hours of training. About $50 in compute. That's what it cost us to fine-tune our own 4-billion-parameter AI model this week. The base model went from 30% accuracy on the tasks we care about to 98%. Read any article on fine-tuning costs and you'll see numbers between $5,000 and $35,000. One blog called it a 'CFO conversation.' Another listed 'hidden expenses' that could double your initial estimate. A third quoted team
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.
Three Kinds of Cloud (and Why Two of Them Keep Getting Confused)
I sat down with a Canadian university last week. They were trying to articulate to industry partners what their compute offering would be. They knew "sovereign" was the right word. They couldn't define it for a buyer. They couldn't tell me what a partner would actually use it for that they couldn't already do on AWS in Montreal. That's not the university's failure. The industry calls three different things "cloud" and lets two
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GPU Cloud Shopping in Canada: Three Weeks Later
Three weeks ago I wrote a post called GPU Cloud Shopping in Canada: What's Actually Available. The short version: I checked every major cloud provider with a Canadian data center, trying to rent a current-generation GPU to train AI models in this country. Google Cloud Montreal had chips from 2017. AWS listed the right hardware but wouldn't let me actually run it. OVHcloud's H100s turned out to be in France, not Quebec. DigitalOc
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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
Read essayFrom the series · 90-Day Action Plan to Surviving AI
The Experiment
After I killed SimpleDirect, I didn't immediately start a new business. That would have been stupid.
More on Decision Log
Three essays from the archive on a different angle.
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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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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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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You 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 Mistra
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The Umbrella Closed on a Monday
The Umbrella Closed on a Monday I tweeted something Monday morning about France and nuclear weapons. Felt strange typing it. I help founders figure out where to build their lives. I'm not a foreign policy guy. I don't have a PhD in international relations. I'm a 27-year-old in Toronto who runs a small business and posts on the internet. But I've been saying for two years that the world is about to test who actually owns their
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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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