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A first path through the notes.
Use this route if you are new to the site. It gives you the shortest path from orientation into serious technical reading without flattening the notes themselves.
[ Start here ]
Use this route if you are new to the site. It gives you the shortest path from orientation into serious technical reading without flattening the notes themselves.
See the paper map behind the site: deep learning foundations, interpretability, reinforcement learning, agents, routing, and efficient inference.
02The mental models of deep learning is the entry point into the research style this site rewards.
03RSS is the reliable path today; email updates remain a simple request path until a newsletter provider is worth adding.
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Algorithms explained with intuition, formal models, proof sketches, and implementation tradeoffs.
Agentic CodingAgents, feedback loops, and implementation habits.
Operating SystemsDiving deep into the design and structure of Operating Systems.
AI EngineeringAccelerating AI: across all layers
SWE for ProsSophisticated software systems under the hood
Building AgentsSWE Principles for Building Out Agents
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One rigorous AI research or project update every 3-4 weeks, with paper trails, mechanisms, experiments, and implementation tradeoffs in one place.