Posts in en

Crafting Was the Rehearsal. Reviewing Is the Job You Have to Keep Training For.

I’ve been chewing on a question that isn’t really about AI: what part of programming was I actually in love with? Not the software. The act. And once I’m honest about the answer, the “am I worth less now” panic going around stops making sense to me. Not because the panic is silly, but because it’s aimed at the wrong target, and because the comforting answer to it is also wrong.

ThePrimeagen’s talk “I suck”, a talk he gave under the working title “what is my value,” opens with the question he says he gets from his audience constantly, sometimes from people in real distress: “Is everything I’ve done for the last… twenty years, is it worthless? Am I worth less now?”

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My Omarchy Experience So Far

I have to say — I love it.

It’s my first time using a tiling window manager, and yes, it takes some time to get used to. Not that much, but enough to feel the friction. Once you’re past that, you fly.

Omarchy with two tabs side by side

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The Truth About Deep Reinforcement Learning

Reinforcement learning is not always exciting. Sometimes you have to face the raw truth of it: most of the time, it won’t work at first. These algorithms have an enormous number of parameters to fine-tune, and the gap between “looks right on paper” and “actually learns” is wide.

I’ve been diving deep into policy gradient methods, specifically implementing the Vanilla Policy Gradient (VPG) algorithm with Generalized Advantage Estimation (GAE-λ). The video below is from one of my training runs.

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