machine-learning
- The chain rule behind autoregressive models
Autoregressive models are just the probability chain rule plus a conditional model. Here’s the mental model, the math, and what training is really doing.
- Security Implications of Probabilistic Reasoning in Generative AI
A rigorous analysis of how probabilistic reasoning in generative models shapes security risk, failure modes, and robustness.
- Amazon Bedrock: foundations, systems, and scaling
A highly technical article on Amazon Bedrock with mathematical foundations and numerical examples.
- Calculus, AI, and linear algebra: a compact field guide
A quick, code-backed refresher on gradients, Jacobians, and the linear algebra that drives modern ML.
- Why Traditional Threat Modeling Breaks Down in Generative AI Systems
Argues that probabilistic behavior, distributional risk, and system composability invalidate core assumptions of classical threat modeling for generative AI.