Sciences Hacker News Mar 31, 2026 2 min read
A March 28 essay on the Hamilton-Jacobi-Bellman equation drew Hacker News attention by showing how continuous-time control theory connects reinforcement learning, optimal control, and diffusion models.
A March 28 essay on the Hamilton-Jacobi-Bellman equation drew Hacker News attention by showing how continuous-time control theory connects reinforcement learning, optimal control, and diffusion models.
A r/MachineLearning project post (score 71, 12 comments) introduced <code>Micro Diffusion</code>, a minimal implementation inspired by <code>Microgpt</code>. The author released three versions (143-line NumPy, 292-line NumPy, 413-line PyTorch) that share the same diffusion loop while swapping denoisers.