TL;DR: I fine-tuned a large language model on my personal notes and embedded the resulting model in my everyday workflow. Personal experience, Roam Research, AI Safety.

Building a 'digital person'.

Holden Karnofsky asks you to imagine yourself as a digital person - a copy of yourself that runs on a computer and that has the potential to vastly increase both productivity and output. An easily deployable digital person has the thrilling potential to not only reduce the effort a task requires (like other productivity tools might), but additionally to scale up and dramatically raise the ceiling of your output.

Show, don’t tell.” - probably said originally by someone with bad hearing

As Balaji S. Srinivasan points out, the biggest bottleneck in productivity might be the human in the loop:

We really should be in the middle of a golden age of productivity. Within living memory, computers did not exist. Photocopiers did not exist. Backspace did not exist. You had to type it all by hand. […] For example, maybe we have it wrong with productivity apps. Maybe the goal isn't writing up a Google Doc so another human can understand it, but hitting enter on GitHub so a computer can do it.

Instead of assigning each other tasks in one big circle of shifted responsibility, we might want to factor out subtasks and automate them away aggressively.

I used a two-week vacation to take these thoughts to heart by fine-tuning a large language model on the text I have produced in the last decade and by integrating its capabilities into my daily workflow. This post summarises some of the things I've learned in the process.

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