Writing

Artificial Intelligence

I try to write as I learn. Here are some articles I've written that explain the topics in Machine Learning I've learned about.

• Interpretable Features in Large Language Models
• A Deep Dive into the Transformer Architecture
• How Policies are Represented by Neural Networks
• Model-free vs. Model-based Reinforcement Learning
• On-Policy vs. Off-Policy Reinforcement Learning
• Deep Q Learning Explained
• Convolutional Neural Networks Explained

Personal Growth

Writing is the best way for me to collect my thoughts and grow. These are articles from my newsletter and one-off things I've written.

• Acquired Live
• Zero-Sum Games
• Ambiguity
• Responsibility
• Technology Detox
• People of Livermore
• Make It Real
• On Momentum
• Computer Code and Charcuterie
• Signaling vs. Learning
• Confusion -> Clarity
• The Bigger Picture
• First Impressions
• Do The Hardest Thing, Do It First
• Table Stakes
• A (small) Triumph
• What I've Been Reading

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Creative Writing

UNDER CONSTRUCTION