All Writings

Deconstructing the black box, the residual stream communication bus, transformer circuit analysis, induction heads, and activation patching.

Outcome vs process supervision, dense step-level reward signals, Process Reward Models (PRMs), beam search over thoughts, and Monte Carlo tree guidance.

The third scaling frontier, trading inference compute for deliberation, hidden reasoning chains, process verifiers, and the architecture of OpenAI o1/o3.

Physical grounding of intelligence, Sim-to-Real domain randomization, end-to-end Vision-Language-Action (VLA) architectures, and high-frequency visuomotor policies.

Multi-agent system dynamics, division of cognitive labor, orchestrator-worker swarms, communication protocols, and consensus mechanisms.

Cognitive memory architectures, context window volatility, episodic vs semantic memories, verbal reinforcement, and the Reflexion framework.

Cognitive architecture design, interleaving reasoning and environment interaction, the ReAct pattern, structured function calling, and Plan-and-Solve agents.

Lookahead planning in latent spaces, Monte Carlo Tree Search (MCTS), PUCT selection algorithms, and model-based reinforcement learning without simulators.

Dynamic programming recursion, the Bellman Optimality Equation, the Policy Gradient Theorem, and Proximal Policy Optimization (PPO).

Foundations of autonomous agency, the Markov Decision Process (MDP) 5-tuple, state transition probability kernels, and discounted future returns.