ischemist.com | anton morgunov

AI has collapsed the cost of sophisticated cyberattacks.

Three essays on why even simple for-loop software has absurd leverage, why AI will not reduce demand for the value of SWE-style thinking, and why progress is often a latency problem.

A full translation of an interview with Grigori Perelman's math teacher.

A comprehensive review arguing that synthesis planning is the chemical equivalent of next-token prediction — the foundational objective for artificial chemical intelligence.

Deriving the necessity of eternal punishment from the Prisoner's Dilemma.

A complete walkthrough of modern python tooling, from understanding virtual environments to mastering lockfiles and dependency groups.

How to benchmark conflicting academic codebases without losing your mind.

A dive into the gregorian calendar as a 400-year software patch for the Julian's memory leak.

Cursor is dying because cost-optimization forces models into tunnel vision.

a deep dive into how the metrics for ai chemical synthesis are broken, rewarding models for "solving" routes with impossible, hallucinatory chemistry. we present the data and the open-source tools to fix it.

science is infrastructure-constrained, not ideas-constrained. an argument on why better tooling, not smarter models, is the missing link in the AI for Science revolution.

we built an ai steering system for molecular design that efficiently guides a generative model to invent potent, protein-specific molecules, even rediscovering existing drugs from scratch.

we developed a computational shortcut that predicts quantum properties with gold-standard accuracy at a fraction of the cost, making high-precision modeling accessible for larger molecules.

We will see why chemistry could not exist as a science without Born Oppenheimer approximation and what career paths that approximation opens.