A developer built a next-character language model from a neural cellular automaton — a 16×16 grid of cells holding 16-number vectors updated by one shared 3×3 convolution rule, with no attention or tr…
A developer built a small CPU-based inference runtime called kutty-vllm in Python and NumPy to understand how large language models remember, schedule, and stream tokens, implementing a KV cache with …
A software engineer's analysis argues that MoE routing in transformer inference is fundamentally the same problem as CPU branch prediction, and that KV cache management techniques such as prefix cachi…
Tinygrad, the 17,000-line Python deep learning framework behind comma.ai's openpilot self-driving system, represents all tensor operations as UOps (universal operations) and uses lazy evaluation, defe…