I started L8NTLABS to do the kind of AI work I enjoy most: hard problems, custom solutions, and explaining the result so anyone on a team can understand it. My background runs across software development and marketing strategy, which is an unusual pairing that turns out to be useful. I can build the technical thing and tell you plainly why it matters.
I write here to think out loud about building AI that actually holds up. No hype, and no jargon for its own sake.
Existential Fret, Effective Altruism, and the Open-Weight Threat
Frontier lab CEOs suddenly agree that AI is too dangerous to race ahead. Follow the funding, the marriages, and the balance sheets, and the panic starts looking like a regulatory cartel move against open-weight models.
Read →What Intelligence Should Cost
Most people buy intelligence the same way they buy a car. Bigger, and hope the next one is cheaper. We run a small lab that asks what intelligence actually costs, and whether you can buy the same capability for less.
Read →Switching From Ollama to llama.cpp For Local Inference
Local agentic coding is finally good enough to start taking architecture and performance more seriously. By switching from Ollama to llama.cpp, everything has improved for me. Speed, tool-calling, reliability...everything.
Read →The "unlimited" AI plan was always going to end
The big AI companies are shifting from flat "unlimited" subscriptions toward paying for every token you use. Here is why that was inevitable, and why running your own models and tools is the best protection against being priced out.
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