Will Bernau
will [at] coase-ai [dot] com
I'm building . We help anyone develop and deploy custom AI models to solve their hardest problems. If you're interested, reach out!
Coase provides managed infrastructure for turning an organization's proprietary data and expertise into specialized models that outperform and undercut general-purpose AI on specific tasks, all without hiring machine learning engineers or managing GPUs. We're focused on lowering the cost of custom intelligence. Visit us at www.coase-ai.com
In the past, I've worked on computational neuroscience research, digital asset market arbitraging, and high-performance web scraping. I briefly studied CS and Math at MIT before leaving to work full time. I'm also a Z fellow.
I like weightlifting, caffeine, and (currently: High Output Management by Grove). I don't like iced drinks or social media.
1984 by Orwell
7 Powers by Helmer
As We May Think by Bush
Attention is All you Need by Vaswani et al.
The Autobiography of Andrew Carnegie by Carnegie
The Autobiography of Benjamin Franklin by Franklin
The Catcher in the Rye by Salinger
Coordination Problems by Farnum Street
Denoising Diffusion Probabilistic Models by Ho et al.
Foundation by Asimov
GPU Glossary by Modal
The Great Gatsby by Fitzgerald
Hatchet by Paulsen
High Output Management by Grove
How to Make a Few Billion Dollars by Jacobs
Industrial Society and Its Future by Kaczynski
Into the Wild by Krakauer
It’s a Wonderful Life by Capra (a movie, but, if you haven't seen it, watch it immediately)
Letters to Shareholders by Bezos
LoRA: Low-Rank Adaptation of Large Language Models by Hu et al.
Made in America by Walton
The Maverick and His Machine by Maney
The Making of the Atomic Bomb by Rhodes
Meditations On Moloch by Alexander
The Nature of the Firm by Coase
Nexus by Harari
Notes from Underground by Dostoevsky
NVIDIA Tesla: A Unified Graphics and Computing Architecture by Lindholm et al.
On the Genealogy of Morality by Nietzsche
The Outsiders by Thorndike
Pioneering Portfolio Management by Swensen
Play Nice But Win by Dell
Poor Charlie's Almanack by Munger
Principles by Dalio
Scaling Laws for Neural Language Models by Kaplan et al.
Seeing Like a State by Scott
Sick Souls, Healthy Minds by Kaag
Source Code by Gates
Startup = Growth by Graham
Thus Spoke Zarathustra by Nietzsche
Training Compute-Optimal Large Language Models by Hoffmann et al.
The Unreasonable Effectiveness of Data by Halevy et al.
The Use of Knowledge in Society by Hayek
The Wizard and the Prophet by Mann
Zero to One by Thiel