arun rao

linkedin twitter github

i currently play a lot with foundation agents at Meta, trying to perfect them to launch the little fellas at billion scale. previously, i built out the evaluations org for Meta’s Llama autoregressive LLMs in Meta’s Central GenAI Group (a sister team to FAIR, now called Meta Superintelligence). and prior to that, i co-led a large team of product managers and research engineers working on ML recommenders and ranking models at Meta’s Monetization Ranking AI group that served ~4 billion people. i’m also a university lecturer at UCLA, teaching a class on advanced product design.

i spend my time thinking about real-world uses of ML, obscure math, internet protocols, APIs, incentive mechanisms, contemporary art, and design.

i write the Substack letter Hash Collision, where i report on developments in AI/ML, science, tech, culture, economics, and ethics. i also have a limited podcast, the Variance Pod, where Jake Kraft and I find and interview up-and-coming, variant people with revolutionary ideas, art, scientific work, books, buildings, products, and other artifacts. i co-wrote “A History of Silicon Valley, 2nd Ed.

in the past, i led an applications and platform machine learning team at Amazon Music in San Francisco. prior to that, i was a co-founder of Starbutter AI (Skydeck F17) and a quant debt and derivatives trader at PIMCO (working under Bill Gross, Mohamed El-Erian, and Dan Ivascyn). i’m still a licensed attorney in the Wyoming State Bar (the Equality state, where women first got the right to vote, and LLCs and DAOs to exist) and was formerly a CFA charterholder.

i’m a grad of UCLA, Penn/Wharton, the University of Arizona College of Law, and the Indiana Academy.

i like books, running, yoga, math, grammar and style, dead ancient languages, modern computer languages, black hole physics, bears, cacti, and pad see-ew.

writing

📌 Primer on Generative AI (GenAI)

📌 Machine Learning (including Deep Learning and Reinforcement Learning) for Engineers — A Technical Primer (Part 2)

📌 Primer on AI and Machine Learning (Part 1, Non-Technical)

📌 Accelerated Math and Physics (AMP) PR-FAQ (a program for children)

Inside the Minds Building the Future: Notes from the Progress Conference 2025

The Silicon Valley Tech Canon

The Philosophy of AI

Best Books of 2024: Loners and Fellowships

Rao Reading Algorithm

Best Books of 2023 – Philosophers and an Intelligence Takeoff

Behind the Hype: A Deep Dive into the AI Value Chain

Best Books of 2022 – Lives and Machines

Startups 101: A Reading List for Founders

What I Learned About Babies and Infants

Leviathan: State, Corporation, Network (and Network State)

Harms of AI

Focus and Distraction with Technology

In Defense of Personalized Ads (and the Free Internet)

Self-Supervised Learning (SSL) – A Gentle Introduction

Notes on Education

Best Books of 2021 (Berkelians)

What the heck is Web3? A primer.

8 Surprising Things You Didn’t Know about the Metaverse, and How it Will Change Your Life More than Your iPhone

Why Crypto Matters (It’s a Lot More than Bitcoin)

Capitalism, Socialism, and Inequality

Best Books of 2020

Why the new AI/ML language model GPT-3 is a big deal

Capital

A List of the World’s Best Artificial Intelligence (AI) Institutes and Think Tanks