About:

Ryan Tolsma is a problem solver with interests in math, physics, and AI, and enjoys poker, board games, and anime.

Website:

Specializations:

Interests:

Pure mathematics Physics Machine learning Multi-agent reinforcement learning Non-stationary environments

Outgoing Links:

Ben Kuhn
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The article presents a novel proof of the derivative relationship \\(\frac{d}{dx} \phi(x) = a\phi(x) \\iff \phi(x) = e^{ax}\\ in a discrete context. It introduces a basis approach that represents functions as vectors of polynomial...
The blog post discusses the limitations of IVF embryo selection technology, particularly in optimizing traits like IQ and height. It explains that while companies like Orchid Health promote the potential for selecting desirable ph...
The blog post discusses the author's experience during a remote internship at Wealthfront, where they worked on developing an automated robo-advisor for wealth management. The author explains the complexities of wealth management,...
The text discusses the author's research in the robotics space, sharing insights and frameworks after talking to various industry professionals. It covers the potential for VC scale business in robotics, high-level problems roboti...
The text discusses the application of topological properties to voting systems, specifically Arrow's Theorem and Chichilnisky Theorem. It explains how these theorems apply to both discrete and continuous preference rankings, and t...
The text discusses the concept of counterfactual impact and how it can be maximized in altruistic fields. It presents mathematical models to show that seeking counterfactual impact implies prioritizing fields with heavy-tailed dis...
The text is a reflection on the author's time at Stanford, rating his social life, health, career, and academics each quarter. He discusses highlights and mistakes from each quarter, as well as his internship experiences and the i...
The text discusses a trick to compute gradients of a locally smooth function using complex numbers and a simple single f evaluation. It is not very numerically stable but can work without requiring any additional code changes.
The post explains the consequences of special relativity, starting with the invariance of physics in inertial frames and the constancy of the speed of light. It discusses symmetries, paradoxes, proper time, action, and energy, and...
The text discusses a prediction contest and the optimal strategy for participants. It presents a series of questions and scenarios to analyze the best approach to maximize rewards in the contest.
The text discusses two fun facts from the author's sophomore Stanford Quantum courses. The first fun fact is about the connection between Maxwell's equations and differential forms, and the second fun fact is about the rotational ...
The text discusses the inefficiencies in the hiring process and the lack of accurate measurements of value and productivity in skilled service corporations. It highlights the disproportionate risk tolerance and lack of equity upsi...