A personal technical blog covering reinforcement learning algorithms such as actor-critic variants, with formal definitions and a stock prediction application, alongside coding interview solutions. Readers get step-by-step explanations with math notation and code.
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A researcher-founder writes long-form explainers on computing history and robotics, unpacking topics like RL locomotion of humanoid robots, the ENIAC and EDVAC programming paradigms, and low-power on-chip state estimation. Readers get technically grounded, well-illustrated explanations with quantitative comparisons and historical context.
Long-form articles on frontier AI research, covering topics such as scaling, reinforcement learning and the practicalities of working in ML. Readers get an insider's explanations and opinions on research trends and on running ML teams.
Long-form technical papers on how technology reshapes industry and the physical world, covering digital twins, AI world models, nuclear microreactors and multi-agent reinforcement learning. Each issue pairs concrete examples with explanations of the underlying concepts.
A personal newsletter explaining recent developments in large language model training, including reinforcement learning methods like PPO and GRPO, reasoning in AI, and how to think about AGI. Each issue gives a conceptual breakdown with the author's own framing.
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