Frontier AI Research: The Real Moat
Frontier AI Research: The Real Moat
Thoughts on VLA agents, robotics, frontier AI, and building superhuman digital workers.
Frontier AI Research: The Real Moat
Embodied AI: The Next Intelligence Paradigm
Bipedal Walking Using RL: Deep Dive with Code
The Current State of Robot Foundation Models
Embodied AI: The Data Bottleneck
π-0.5: A Foundation Model for Robot Manipulation
Moravecs Paradox: Spelled Out with Code
Robotic Foundation Models in 2050
The Sim2Real Gap for Robot Locomotion Explained
Books
Serendipity
High Quality Tokens Only
Where I Get My Best Ideas
Watch Out for ZIRP Advice
Competitors are Overrated
Beyond The Mythical Man Month: Ride or Die Teams O(n^3)
Social Networks as a Collective Evolutionary Mechanism
The Trillion Human Civilization
The real meaning of over night success.
Perhaps a healthy way of viewing market cap.
Cities that transform the world.
Choosing the right loss function for grand life missions.
Three is a magic number.
Existing science is not fully exploited.
Navigating corporate ladder.
A proposal to support innovation at large companies.
Colleges aren't efficient at maximizing labor's full potential.
A minimal data structures and algorithms reference.
Some questions that I find interesting, and might potentially unlock new science.
A compiled list of wisdom from my readings.
“…everything became much clearer when I started writing code.”
Applying physic laws to the social sciences.
Empower new joiners to become fully autonomous individual contributors.
A small guide on how to prepate for machine learning interviews for hackers.
Reflections on the upside of writing.
Theory can only take you so far.
A Martian View.
Copilot 2.0
A Unique Paradigm Shift.
A set of notes about startups.
Self-aware GPTs living in codebases, and software that heals itself.
New computer interfaces powered by LLMs.
Jetbot for applied machine learning and ROS.
Some books I read during college part two.
My master thesis at the Rainbow team at Inria, France.
Forecasting GPTs integration into browsers before ChatGPT existed.
Some books I read during college part one.
A somewhat new grad reflection on joining startups :)
A industry perspective on engineering maturity.
MLOps focused questions to understand ML Systems at prospective companies.
Sharing the lessons I learned during my masters degree.
After struggling with ROS, my whole philosophy on robotics engineering became software engineering driven.
The Raymond Reddington of Startups.