
Perspectives from a builder turned backer.
| Platform | Pricing | Only free issues | Publishes | Weekly | |
|---|---|---|---|---|---|
| Issues | 18 | Subscribers | Read | jackarenas.substack.com |
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I’ve written before that evals might be the most valuable layer in the AI stack. Not models, not agents: evals. They’re the thing that defines what “better” even means.
In 2012 I took Pieter Abbeel’s CS 188 class at Berkeley. We used reinforcement learning to play Pacman with Q-tables. The loop was straightforward: take an action, record the outcome, update the table.
Back in 2015, I was a software engineer building the invisible infrastructure that turned attention into money. Not the polished front end users saw, but the backend systems that bought, sold, and measured ads in milliseconds.
Every week I see pitches that follow a similar pattern: “X for Y, powered by AI.” The demos look slick. The traction slides show early revenue. But peel back the layers, and it’s often the same thing: a foundation model wrapped in a clever ...
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