World Models Handbook
Frontier Questions and Research Roadmaps
Frontier questions and research roadmaps for world models: generality contracts, causal structure, persistent memory, and decision-relevant evaluation.
98 min read
Data & AI, Private Equity, Technology.
Experienced analytics, AI, and technology leader with 13+ years of experience across data science, private equity, management consulting, entrepreneurship, and software engineering. Sharing thoughts on these topics.
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Frontier Questions and Research Roadmaps
Frontier questions and research roadmaps for world models: generality contracts, causal structure, persistent memory, and decision-relevant evaluation.
Sim-to-Real Deployment and Continual Correction
A reproducible sim-to-real workflow covering structural mismatch, domain randomization, delay ablations, residual monitoring, and gated continual correction.
Training and Inference Systems
Distributed training, checkpointing, and stateful rollout serving for world models, with latency, memory, and energy budgets for deployment.
Security, Ethics, Privacy, and Governance
World model security, privacy, and governance: poisoning, extraction, membership leakage, dual-use simulation, documentation, and access control.
Robustness, Calibration, and Safe Control
Stress testing, calibrated uncertainty, risk-sensitive planning, and runtime assurance for safe control with imperfect world models.
Failure Modes and Model Exploitation
World models fail through compounding error, objective misspecification, planner exploitation, state aliasing, forgetting, and hallucinated dynamics.
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