Andrei Stoica

Alongside the companies that gather data, there are newly powerful companies that build the tools for organizing, processing, accessing, and visualizing it—companies that don’t take in the traces of our common life but set the terms on which it is sorted and seen. The scraping of publicly available photos, for instance, and their subsequent... See more

What Is Overfitting and Underfitting?

To grasp these concepts, let’s break them down clearly, with a nod to the bias-variance tradeoff, a key idea in machine learning.

• Overfitting : This happens when a model learns not just the underlying patterns in the training data but also its noise and random fluctuations. Think of a student who memorizes test

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And I guess I don’t understand why anyone expects AI to make highly profitable quasi-monopolies even more profitable. How much bigger can the market for Office or Google search get? I understand that these companies feel the need to invest in AI for defensive purposes, to fend off potential competitors. But this need should if anything make them... See more

The social standard this culture offers is one of controlled, placated solitude. Its narrative often insists that you’re surrounded by toxic people who are trying to hurt you, and the only way to ever become the person you’re meant to be is to cut them all off, retreat into a high-gloss cocoon of talk therapy and Notion templates, and emerge a... See more

Fast learns, slow remembers. Fast proposes, slow disposes. Fast is discontinuous, slow is continuous. Fast and small instructs slow and big by accrued innovation and by occasional revolution. Slow and big controls small and fast by constraint and constancy. Fast gets all our attention, slow has all the power.