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They're models of the world.
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Some thoughts on learning.
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A working list of habits that have worked for me.
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Aesthetic for the artificial age
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On passion and regret.
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Some thoughts about being a father.
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Interactive visualizations of various types of neuron models.
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Stream-of-thought writing about tension.
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Framework for thinking about a type of startup that might succeed.
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Reading list of modern reinforcement learning papers.
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The business plan I wrote up for K-Scale.
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In the same way that a free and open internet laid the foundation for most of AI today, a free and open "robonet" will lay the foundation for the future of embodied AI.
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Some unstructured thoughts on what it means to be competitive.
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A perpetual pain point for people working on computer vision is dealing with affine transformations.
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A copy of the business plan I wrote for K-Scale Labs when I was initially raising money.
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My "Starting a Startup" post from a few months ago needed a refresh.
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A vignette about purpose.
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Idea for an implementation of monotonic attention using a probabilistic graphical model.
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A short, hand-wavy explainer for the mathematical intuition behind faster attention mechanisms.
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Miscellaneous notes about various Azure-related things.
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Miscellaneous notes about various AWS-related things.
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Working out the math for streaming convolutions.
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An accessible introduction to diffusion and flow matching models.
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A reference collection of fast attention implementations.
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I left FAIR to start a startup a few weeks ago, and figured I should describe what we're actually doing.
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Math behind the RWKV model, plus a discussion of numerical stability.
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A collection of the different types of electrical connectors that might be relevant for robotics.
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A reference for the different types of gears that might be relevant for robotics applications.
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A list of ideas for robotics startups, focusing on things that are feasible right now and things that will likely become feasible in the next few years.
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An actually good guide to getting started with ROS 2.
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A collection of my ideas relating to robotics pre-training.
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Simple overview of what a PID controller is, how it works, and how to make one yourself.
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Miscellanous update about various life things.
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Meta-journal about journaling for more consecutive days than I initially thought I would, and whether or not it is a worthwhile habit to cultivate.
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Python code snippit for doing background GPU monitoring using `nvidia-smi`.
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Short post about what I've been up to lately.
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Short post with code snippits for creating videos from Numpy arrays in Matplotlib.
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Reflections on our time in the United Kingdom during the Covid-19 pandemic.
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I got engaged to a really wonderful girl.
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Some functions I found useful to add to my bash and zsh profile.
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A walkthrough of how to optimize the log-sum-exp function in PyTorch.
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Some tricks I found useful for writing CUDA extensions for PyTorch.
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A comparison of Hidden Markov Models and Conditional Random Fields, two kinds of probabilistic graphical models.
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Summary and thoughts about The Decadent Society: How We Became the Victims of Our Own Success by Ross Douthat.
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A demo of how to code the Viterbi algorithm in Numpy.
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Exploring the Land of the Rising Sun for 19 days by train, through Tokyo, Nikko, Sendai, Sapporo, Kyoto, Osaka and Nagoya.
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A field guide to traveling to Cuba, written by naive college students for naive college students, mostly as exposition.
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A short post and script regarding using Gensim Word2Vec embeddings in Keras, with example code.
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Building on the Recurrent RBM for sequence modeling.
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Narration from my trip through Nashville, Chicago, Toronto, Montreal, and Washington DC.