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Elements of a Vector Space

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A Theory of Deep Learning

Borges wrote a story about a man named Funes who, after a horseback accident, acquires the ability to perceive and remember everything. Every leaf on every tree. Every ripple on every stream at every moment. He is the perfect empiricist. Infinite data, infinite recall, infinite resolution. And he cannot think …

The Annotated JEPA

--> This post is a step-by-step, annotated, from-scratch walkthrough of Joint Embedding Predictive Architectures, or JEPAs. The goal is to do for JEPA what The Annotated Transformer did for the Transformer: build the full object, explain every moving part, and end with a working training loop. JEPA is Yann LeCun's proposed …

The Fallen Primes of Tohu

The setting was a void. Not darkness, or not only darkness: an emptiness that seemed to precede the possibility of light. It was set very far from the present, though I couldn't tell in which direction. Within the dream this distinction carried no weight. Everyone I'd ever known was already …

Your Transformer is Secretly an EOT Solver

Nine months ago, or was it ten? I've learned not to trust my sense of time when deep in a problem. Anyone faced with a major deadline or enveloped in the mire of one particular question for an extended period intuitively understands that Time becomes something else then. Not the …