Writing
Long-form essays on AI, technology, and ideas.
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The Light from a Dying Star is from the Past
You're not taking AI overhangs seriously enough
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Responsible AI is dying. Long live responsible AI.
How you, yes you, can help build a better future with AI.
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A Billion Dollars isn't cool. You know what is? Ten million dollars.
AI can revive the middle class business model
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Superagency and ADHD
Imagining a world look like where more people can just do things
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Solving LLM hallucinations is (mostly) a UX problem
Why LLM hallucinations are primarily a UX challenge rather than an algorithmic one, and how design improvements can mitigate their impact on users.
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Building Successful Responsible AI Teams
A practical guide to building responsible AI teams that succeed by aligning with business goals, hiring builders over framework-creators, and focusing on empirical risk management.
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Skeptical optimists are the key to an abundant AI future
Beyond doomers and accelerationists: why skeptical optimists who believe AI problems are solvable with effort are essential for building an abundant AI future.
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Selecting on the dependent variable
Why business books and productivity advice often commit the error of selecting on the dependent variable, and how to spot this common reasoning flaw.
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Quantification bias
Why new systems that afford quantitative measurement face disproportionate scrutiny compared to incumbent systems, and why we should hold all systems to the same standards.
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The rise of the data product manager
The emergence of a new kind of product manager who understands data infrastructure, ML, and how to build products where data is at the core of the value proposition.
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Software development skills for data scientists
Notes from my own job search on what to expect in data science interviews, from technical screens to on-site interviews, and how to prepare for both type A and type B data scientist roles.
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The acute pain and chronic reward of public-facing work
Reflections on the emotional toll of producing public-facing work like open source or writing, where criticism flows fast while rewards reveal themselves slowly.
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Do you have time for a quick chat?
Guidelines for requesting informational coffee chats that respect the other person's time and increase your chances of getting a response.
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Software development skills for data scientists
Essential software engineering skills that data scientists need to collaborate effectively: version control, code review, testing, documentation, and writing modular code.
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Why good data scientists make good product managers
The natural affinities between data science and product management, plus the challenges data scientists face when making the transition to PM roles.
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Hiring data scientists
A better approach to hiring data scientists: treat candidates as intelligent humans, use homework assignments over whiteboard coding, and build a process that leads to equitable outcomes.
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Getting started in data science
A guide to getting started in data science, covering the essential foundations in math, statistics, experiments, machine learning, and tooling that aspiring data scientists need.