Twenty-two thousand five hundred and eighty. That’s how many GPT-2 (2019) models fit inside KimiK3 (2026). We scaled up by a factor of 22,580 in seven years. But is it just... scale? In this worklog, ...

Strongly correlated systems, such as transition-metal complexes, are central to catalysis and energy science, and remain challenging for classical algorithms because their ground states are not ...

General-purpose quantum circuit simulators preserve maximum algebraic flexibility by storing a full state vector representing any arbitrary quantum operation. For an n-qubit circuit, this requires ...

A recurrent-depth (looped) transformer written from scratch in PyTorch, as a learning project: a Prelude / Recurrent / Coda design with LTI-stable looping, GQA attention with a KV cache, and a ...

Your browser does not support the audio element. Coding geometric patterns is a classic milestone for any programmer. It transitions your mind from thinking in linear ...

Network methods capture the interplay between structure and dynamics of complex systems across scales by modeling indirect interactions as random walks. However, path data from real-world systems ...

This paper presents a collection of analyses relating structure and function in the whole-brain Drosophila EM connectome and whole-brain calcium imaging data. The linkage of detailed anatomical ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Programming is a key transferable skill within the chemical sciences with applications ...

Fullerenes are hollow carbon molecules where each atom is connected to exactly three other atoms, arranged in pentagonal and hexagonal rings. Mathematically, they can be combinatorially modeled as ...