Now

Updated 2026-06-14

• Writing custom CUDA kernels for sparse attention mechanisms.
• Building deep RL environments from scratch to understand sample efficiency.
• Reading mechanistic interpretability papers; trying to see inside the black box.
• Working toward the smallest model that can be meaningfully called intelligent.

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