Blog

Notes on inference, machine learning, and experiments along the way.

  1. Why fitting inference software to a model, hardware, and workload can outperform a general-purpose serving engine.

  2. A practical way to find your niche by combining skills you already have.

  3. An accessible walkthrough of DeepSeek Sparse Attention and how it reduces attention computation.

  4. How to derive gradients for linear transformations expressed with Einstein summation.

  5. A visual introduction to blindfolded solving with the Old Pochmann method.

  6. Rendering fractals with JAX, parallel computation, and pixel optimization—with a CUDA follow-up.

  7. Fine-tune Flan-T5 on XSum with adapter-transformers to build a text summarizer.

  8. The discovery and disclosure of a Nextcloud cross-site scripting vulnerability.