Thoughts on AI, technology, and physics and math.
Quantum computing exploits two phenomena with no classical analog — superposition and entanglement — to perform certain calculations exponentially faster than any classical computer. The mathematics requires only linear algebra over the complex numbers, but the physical interpretation is deeply …
Read more →The transformer architecture, introduced in the landmark 2017 paper Attention Is All You Need, changed how we process sequences. Unlike recurrent networks that process tokens one at a time, transformers process entire sequences in parallel using a mechanism called self-attention. …
Read more →Quantum Electrodynamics (QED) is the quantum field theory that describes how light and matter interact. It is the most precisely tested theory in all of science — its predictions match experiment to better than one part in a trillion. QED …
Read more →String theory is an ambitious and controversial project in the history of physics. Its central claim is deceptively simple: the fundamental constituents of nature are not point-like particles but tiny one-dimensional objects called strings. Whether those strings are open (with …
Read more →AI capabilities are advancing quickly, new ones arriving every month. With that speed comes an urgent question: how do we make sure these systems are good for people? What Does Responsible AI Mean? Responsible AI is a cluster of practices, …
Read more →Large language models (LLMs) like GPT-4 and Claude have become household names, but the mechanics behind them remain mysterious to most people. This post gives you an accessible picture of what's going on. It All Starts with Text At the …
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