Reverse-Process Synthetic Data Generation for Math Reasoning
Training LLMs on mathematical reasoning by inverting easy-to-solve problems: generate derivatives, reverse them into integration exercises with full step-by-step solutions.
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Training LLMs on mathematical reasoning by inverting easy-to-solve problems: generate derivatives, reverse them into integration exercises with full step-by-step solutions.
History of mathematical ideas underlying generic programming. More accessible than EoP.
A C++17 header-only library that formalizes a pattern behind FFT, logarithmic arithmetic, and Bayesian inference: transform to a domain where your target operation is cheap.
A Python library for rule-based term rewriting with pattern matching, multiple input formats, and an interactive REPL.
How The Mocking Void's arguments about computational impossibility connect to Echoes of the Sublime's practical horror of exceeding cognitive bandwidth.
The formal foundations of cosmic dread. Lovecraft's horror resonates because it taps into something mathematically demonstrable: complete knowledge is impossible, not as humility, but as theorem.
How mathematical principles, generality, composability, invariants, and minimal assumptions, translate into better software.
I defended my mathematics thesis. Three years, stage 3 cancer, and a second master's degree. Here is what worked and what did not.
I already have an MS in Computer Science. Now I'm going back for Mathematics and Statistics, because I kept hitting walls where I could use methods but not derive them.
What makes mathematics beautiful: generality, inevitability, compression, and surprise. And why abstraction matters for software.