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Overview
Tail Scale. 'Our p99 is fine' and 'one user in six has a bad time' are the same sentence. Herein a small browser tool to visualise the tail-at-scale effect: how a rare slow call stops being rare once a page waits on enough of them, and why every dashboard stays green while it happens.
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Tail Scale
"Our p99 is fine" and "one user in six has a bad time" are the same sentence. We rarely hear it that way, and in this post I wanted to go through why that can be.tail-scale is a small browser tool, a toy, for visualizing the tail-at-scale effect: the way
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Policywerk: From Tables to Imagination
Policywerk builds reinforcement learning from scratch in plain Python, standard library only, no NumPy, no PyTorch. The sole exception is matplotlib for visualization.Part 1 ended with a table with 192 entries, one per state-action pair, updated by a sing
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Policywerk: Building Reinforcement Learning from First Principles
Most reinforcement learning code starts after the interesting part. You import an environment, import an agent, call step(), and watch returns go up. Learning happened, but the mechanism stays behind glass, the same way you cannot see combustion by lookin
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Modelwerk: Beyond Transformers
The last and two most interesting models in the modelwerk series turned out to be ones that came after the transformer. Not because they're better, but because they seek to answer the question 'what comes next?' in completely opposite ways. In this post w
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Modelwerk: Neural Networks as Machinery
For the longest time children stood inside looms lifting weights to allow the thread to go through on the command of the weaver. They were called draw boys. There's a moment in the history of weaving where the draw boy disappears, quickly, after the intro
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