41554 blogs · [ { "id": "01a0bb91-f0ca-720e-a74d-49671f0d94b4", "title": "Search and Belief-Space Planning", "url": "https://mbrenndoerfer.com/writing/search-and-belief-space-planning-mcts-pomcp", "published_at": "2026-07-09T15:00:00+00:00" }, { "id": "01a0bb91-f0ca-720e-a74d-49671f4dd1e9", "title": "Differentiable Planning", "url": "https://mbrenndoerfer.com/writing/differentiable-planning-world-models-gradients", "published_at": "2026-07-08T15:00:00+00:00" }, { "id": "01a0bb91-f0ca-720e-a74d-49671f96de68", "title": "Sampling-Based Planning and Model Predictive Control", "url": "https://mbrenndoerfer.com/writing/sampling-based-planning-model-predictive-control", "published_at": "2026-07-07T15:00:00+00:00" }, { "id": "01a0bb91-f0ca-720e-a74d-4967205639a0", "title": "Pretraining, Post-Training, Scaling, and Adaptation", "url": "https://mbrenndoerfer.com/writing/pretraining-post-training-scaling-and-adaptation", "published_at": "2026-07-06T15:00:00+00:00" }, { "id": "01a0bb91-f0ca-720e-a74d-49672125668c", "title": "Online, Offline, and Continual Learning", "url": "https://mbrenndoerfer.com/writing/online-offline-continual-learning-world-models", "published_at": "2026-07-05T15:00:00+00:00" }, { "id": "01a0bb91-f0ca-720e-a74d-49672218b0f4", "title": "Data Curation and Synthetic Data", "url": "https://mbrenndoerfer.com/writing/data-curation-synthetic-data-world-models", "published_at": "2026-07-04T15:00:00+00:00" }, { "id": "01a0bb91-f0ca-720e-a74d-496722a6e490", "title": "Interaction Data and Passive Observation", "url": "https://mbrenndoerfer.com/writing/interaction-data-and-passive-observation", "published_at": "2026-07-03T15:00:00+00:00" }, { "id": "01a0bb91-f0ca-720e-a74d-49672396bdb6", "title": "Actions, Inverse Dynamics, and Latent Actions", "url": "https://mbrenndoerfer.com/writing/actions-inverse-dynamics-latent-actions", "published_at": "2026-07-02T15:00:00+00:00" }, { "id": "01a0bb91-f0ca-720e-a74d-496723afd961", "title": "Predictive and Generative Objectives", "url": "https://mbrenndoerfer.com/writing/predictive-generative-objectives-world-model-losses", "published_at": "2026-07-01T15:00:00+00:00" }, { "id": "01a0bb91-f0ca-720e-a74d-496724a9f3f3", "title": "Hierarchical, Hybrid, and Omnimodal Models", "url": "https://mbrenndoerfer.com/writing/hierarchical-hybrid-omnimodal-world-models", "published_at": "2026-06-30T15:00:00+00:00" }, { "id": "01a0bb91-f0ca-720e-a74d-4967255f227c", "title": "Predictive Embeddings, JEPA, and Energy-Based Models", "url": "https://mbrenndoerfer.com/writing/predictive-embeddings-jepa-energy-based-models", "published_at": "2026-06-29T15:00:00+00:00" }, { "id": "01a0bb91-f0ca-720e-a74d-49672626ad30", "title": "Diffusion and Flow World Models", "url": "https://mbrenndoerfer.com/writing/diffusion-flow-world-models-multimodal-futures", "published_at": "2026-06-28T15:00:00+00:00" }, { "id": "01a0bb91-f0ca-720e-a74d-496726860ce1", "title": "Autoregressive Token World Models", "url": "https://mbrenndoerfer.com/writing/autoregressive-token-world-models-causal-transformer-dynamics", "published_at": "2026-06-27T15:00:00+00:00" }, { "id": "01a0bb91-f0ca-720e-a74d-4967269607c7", "title": "Transformers and Neural State-Space Architectures", "url": "https://mbrenndoerfer.com/writing/transformers-neural-state-space-architectures-world-models", "published_at": "2026-06-26T15:00:00+00:00" }, { "id": "01a0bb91-f0ca-720e-a74d-4967273e5b3b", "title": "Recurrent State-Space Models", "url": "https://mbrenndoerfer.com/writing/recurrent-state-space-models-rssm-world-models", "published_at": "2026-06-25T15:00:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42dd86bbbe5", "title": "Compositionality and Systematic Generalization", "url": "https://mbrenndoerfer.com/writing/compositionality-systematic-generalization-world-models", "published_at": "2026-06-24T15:00:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42dd89bc2b6", "title": "Stochasticity and Uncertainty", "url": "https://mbrenndoerfer.com/writing/stochasticity-and-uncertainty-world-models", "published_at": "2026-06-23T15:00:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42dd99bbfe0", "title": "Structured Simulators and Neural Operators", "url": "https://mbrenndoerfer.com/writing/structured-simulators-and-neural-operators", "published_at": "2026-06-22T15:00:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42dda0a03a1", "title": "Causal Models and Interventions", "url": "https://mbrenndoerfer.com/writing/causal-models-and-interventions-structural-causal-models-do-operator", "published_at": "2026-06-21T15:00:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42ddaf19036", "title": "Physical Dynamics and Constraints", "url": "https://mbrenndoerfer.com/writing/physical-dynamics-and-constraints-world-models", "published_at": "2026-06-20T15:00:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42ddb436c38", "title": "Geometry, Mapping, and 3D/4D State", "url": "https://mbrenndoerfer.com/writing/geometry-mapping-and-3d-4d-state-world-models", "published_at": "2026-06-19T15:00:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42ddb783111", "title": "Self-Models, Body Schemas, and Affordances", "url": "https://mbrenndoerfer.com/writing/self-models-body-schemas-and-affordances", "published_at": "2026-06-18T15:00:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42ddbe9f11a", "title": "Object-Centric and Relational Worlds", "url": "https://mbrenndoerfer.com/writing/object-centric-relational-world-models-slots-graphs-message-passing", "published_at": "2026-06-17T15:00:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42ddbf24f9d", "title": "Temporal State and Memory", "url": "https://mbrenndoerfer.com/writing/temporal-state-and-memory-recurrent-world-models", "published_at": "2026-06-16T15:00:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42ddc82dec0", "title": "Latent-Variable Representations", "url": "https://mbrenndoerfer.com/writing/latent-variable-representations-vae-world-models", "published_at": "2026-06-15T15:00:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42ddcd31e76", "title": "Sufficient State and State Abstraction", "url": "https://mbrenndoerfer.com/writing/sufficient-state-and-state-abstraction", "published_at": "2026-06-14T15:00:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42ddd69208d", "title": "Observations, Sensors, and Multimodal Data", "url": "https://mbrenndoerfer.com/writing/observations-sensors-multimodal-data-world-models", "published_at": "2026-06-13T15:00:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42dddb8e07f", "title": "Model-Based Reinforcement Learning", "url": "https://mbrenndoerfer.com/writing/model-based-reinforcement-learning-world-models", "published_at": "2026-06-12T15:00:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42ddeb6dc0a", "title": "Control as Inference and Active Inference", "url": "https://mbrenndoerfer.com/writing/control-as-inference-and-active-inference", "published_at": "2026-06-11T15:00:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42ddf0dfa67", "title": "Classical Planning and Optimal Control", "url": "https://mbrenndoerfer.com/writing/classical-planning-and-optimal-control", "published_at": "2026-06-10T15:00:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42de00532ad", "title": "System Identification", "url": "https://mbrenndoerfer.com/writing/system-identification", "published_at": "2026-06-09T15:00:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42de0bb4c76", "title": "Bayesian Filtering and Belief States", "url": "https://mbrenndoerfer.com/writing/bayesian-filtering-and-belief-states", "published_at": "2026-06-08T15:00:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42de1aaf3ac", "title": "Markov and Partially Observable Decision Processes", "url": "https://mbrenndoerfer.com/writing/markov-and-partially-observable-decision-processes", "published_at": "2026-06-07T15:00:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42de2592227", "title": "Mathematical and Dynamical Foundations", "url": "https://mbrenndoerfer.com/writing/mathematical-dynamical-foundations-world-models", "published_at": "2026-06-06T15:00:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42de3191f0d", "title": "Intellectual and Cognitive History", "url": "https://mbrenndoerfer.com/writing/intellectual-cognitive-history-world-models", "published_at": "2026-06-05T15:00:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42de3bd7753", "title": "Taxonomies of World Models", "url": "https://mbrenndoerfer.com/writing/taxonomies-of-world-models-design-space", "published_at": "2026-06-04T15:00:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42de4179441", "title": "The World-Model Qualification Test", "url": "https://mbrenndoerfer.com/writing/world-model-qualification-test-four-criteria", "published_at": "2026-06-03T15:00:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42de5033c85", "title": "What Is a World Model?", "url": "https://mbrenndoerfer.com/writing/what-is-a-world-model", "published_at": "2026-06-02T15:00:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42de5bc6b03", "title": "Building a First World Model", "url": "https://mbrenndoerfer.com/writing/building-a-first-world-model", "published_at": "2026-06-01T15:00:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42de6825a57", "title": "Responsible Deployment: Staged Release, Access Control", "url": "https://mbrenndoerfer.com/writing/responsible-deployment-staged-release-access-control-monitoring", "published_at": "2026-03-29T00:00:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42de6bc5494", "title": "Long-Form Generation: Outline, Hierarchy, and Coherence", "url": "https://mbrenndoerfer.com/writing/long-form-generation-outline-hierarchical-coherence-evaluation", "published_at": "2026-03-28T08:00:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42de7a21be3", "title": "Test-Time Compute: Sampling, Refinement, Optimal Inference", "url": "https://mbrenndoerfer.com/writing/test-time-compute-scaling-sampling-refinement-optimal-inference", "published_at": "2026-03-27T16:00:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42de8795624", "title": "Learning Rate Warmup: Linear Warmup and Large Batch Training", "url": "https://mbrenndoerfer.com/writing/learning-rate-warmup-linear-duration-large-batch-training", "published_at": "2026-03-24T08:00:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42de8f25a3d", "title": "Deduplication: Exact, Near-Duplicate, and Substring Methods", "url": "https://mbrenndoerfer.com/writing/deduplication-exact-near-duplicate-jaccard-similarity-suffix-arrays", "published_at": "2026-03-22T16:00:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42de97f2c44", "title": "Hallucination Mitigation: RAG, Decoding, and Training", "url": "https://mbrenndoerfer.com/writing/hallucination-mitigation", "published_at": "2026-03-20T23:25:46+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42de99e96cb", "title": "Mechanistic Interpretability: Circuits, Induction Heads", "url": "https://mbrenndoerfer.com/writing/mechanistic-interpretability", "published_at": "2026-03-20T17:30:18+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42dea1af95c", "title": "Research Directions: Open Problems, Benchmarks", "url": "https://mbrenndoerfer.com/writing/research-directions-open-problems-benchmarks-community-priorities", "published_at": "2026-03-20T14:06:34+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42deabad716", "title": "Societal Implications of AI: Labor, Equity, Regulation", "url": "https://mbrenndoerfer.com/writing/societal-implications-labor-equity-regulation-governance-ai", "published_at": "2026-03-20T08:44:42+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42deac93adb", "title": "Alignment Challenges: Scalable Oversight, Goal Specification", "url": "https://mbrenndoerfer.com/writing/alignment-challenges-scalable-oversight-goal-specification-research", "published_at": "2026-03-20T05:41:41+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42deb1a6b17", "title": "Hallucination Detection: NLI, Self-Consistency", "url": "https://mbrenndoerfer.com/writing/hallucination-detection", "published_at": "2026-03-19T14:30:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42debe1e869", "title": "Probing Classifiers: Decoding What Language Models Learn", "url": "https://mbrenndoerfer.com/writing/probing-classifiers", "published_at": "2026-03-19T12:12:16+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42dec50127a", "title": "Hallucination Types in Language Models", "url": "https://mbrenndoerfer.com/writing/hallucination-types", "published_at": "2026-03-18T14:30:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42dec5cd727", "title": "Hallucination Causes: Why Language Models Fabricate Facts", "url": "https://mbrenndoerfer.com/writing/hallucination-causes", "published_at": "2026-03-18T14:30:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42dec767cf5", "title": "Representation Harms: Stereotyping, Erasure, and Bias", "url": "https://mbrenndoerfer.com/writing/representation-harms", "published_at": "2026-03-17T14:30:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42decacf5c6", "title": "Capability Frontiers: Emerging AI, World Models, Planning", "url": "https://mbrenndoerfer.com/writing/capability-frontiers-emerging-world-models-planning-multimodal", "published_at": "2026-03-17T01:22:47+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42decbe6bde", "title": "Fairness Metrics: Demographic Parity, Equalized Odds", "url": "https://mbrenndoerfer.com/writing/fairness-metrics", "published_at": "2026-03-16T14:30:00+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42ded5830df", "title": "Efficiency Frontiers: Architecture, Hardware, and Inference", "url": "https://mbrenndoerfer.com/writing/efficiency-frontiers-architectures-hardware-codesign-inference", "published_at": "2026-03-16T03:04:12+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42dee47798d", "title": "Scaling Frontiers: Limits", "url": "https://mbrenndoerfer.com/writing/scaling-frontiers-limits-power-laws-data-wall-architecture", "published_at": "2026-03-15T16:08:57+00:00" }, { "id": "01a087a3-16f8-70e6-ac6a-b42dee486c07", "title": "Bias Mitigation: Debiasing, CDA, and Fair Fine-tuning", "url": "https://mbrenndoerfer.com/writing/bias-mitigation", "published_at": "2026-03-15T14:30:00+00:00" }, { "id": "01a087a3-16f9-7101-9a26-c525354997f2", "title": "Bias Measurement: WEAT, Stereotype Scores, Fairness Metrics", "url": "https://mbrenndoerfer.com/writing/bias-measurement", "published_at": "2026-03-14T14:30:00+00:00" }, { "id": "01a087a3-16f9-7101-9a26-c52535e7d6ae", "title": "Model Cards: Documentation, Intended Use, and Limitations", "url": "https://mbrenndoerfer.com/writing/model-cards-documentation-intended-use-limitations-best-practices", "published_at": "2026-03-13T21:52:51+00:00" }, { "id": "01a087a3-16f9-7101-9a26-c52535ff717e", "title": "Bias in Language Models: Sources, Types and Amplification", "url": "https://mbrenndoerfer.com/writing/bias-in-language-models", "published_at": "2026-03-13T14:30:00+00:00" }, { "id": "01a087a3-16f9-7101-9a26-c52536fd9a2b", "title": "LLM Watermarking: Schemes, Detection, and Robustness", "url": "https://mbrenndoerfer.com/writing/watermarking-llm-schemes-statistical-detection-robustness", "published_at": "2026-03-13T12:06:08+00:00" }, { "id": "01a087a3-16f9-7101-9a26-c525374c24f1", "title": "Evaluation Prompt Engineering: Designing Reliable LLM Judges", "url": "https://mbrenndoerfer.com/writing/evaluation-prompt-engineering", "published_at": "2026-03-12T14:30:00+00:00" }, { "id": "01a087a3-16f9-7101-9a26-c52537f8bb59", "title": "Memorization and Privacy in Language Models", "url": "https://mbrenndoerfer.com/writing/memorization-and-privacy", "published_at": "2026-03-11T15:49:36+00:00" } ] posts Claim your blog

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2026

Search and Belief-Space Planning original ↗

9 Jul 2026

Differentiable Planning original ↗

8 Jul 2026

Sampling-Based Planning and Model Predictive Control original ↗

7 Jul 2026

Pretraining, Post-Training, Scaling, and Adaptation original ↗

6 Jul 2026

Online, Offline, and Continual Learning original ↗

5 Jul 2026

Data Curation and Synthetic Data original ↗

4 Jul 2026

Interaction Data and Passive Observation original ↗

3 Jul 2026

Actions, Inverse Dynamics, and Latent Actions original ↗

2 Jul 2026

Predictive and Generative Objectives original ↗

1 Jul 2026

Hierarchical, Hybrid, and Omnimodal Models original ↗

30 Jun 2026

Predictive Embeddings, JEPA, and Energy-Based Models original ↗

29 Jun 2026

Diffusion and Flow World Models original ↗

28 Jun 2026

Autoregressive Token World Models original ↗

27 Jun 2026

Transformers and Neural State-Space Architectures original ↗

26 Jun 2026

Recurrent State-Space Models original ↗

25 Jun 2026

Compositionality and Systematic Generalization original ↗

24 Jun 2026

Stochasticity and Uncertainty original ↗

23 Jun 2026

Structured Simulators and Neural Operators original ↗

22 Jun 2026

Causal Models and Interventions original ↗

21 Jun 2026

Physical Dynamics and Constraints original ↗

20 Jun 2026

Geometry, Mapping, and 3D/4D State original ↗

19 Jun 2026

Self-Models, Body Schemas, and Affordances original ↗

18 Jun 2026

Object-Centric and Relational Worlds original ↗

17 Jun 2026

Temporal State and Memory original ↗

16 Jun 2026

Latent-Variable Representations original ↗

15 Jun 2026

Sufficient State and State Abstraction original ↗

14 Jun 2026

Observations, Sensors, and Multimodal Data original ↗

13 Jun 2026

Model-Based Reinforcement Learning original ↗

12 Jun 2026

Control as Inference and Active Inference original ↗

11 Jun 2026

Classical Planning and Optimal Control original ↗

10 Jun 2026

System Identification original ↗

9 Jun 2026

Bayesian Filtering and Belief States original ↗

8 Jun 2026

Markov and Partially Observable Decision Processes original ↗

7 Jun 2026

Mathematical and Dynamical Foundations original ↗

6 Jun 2026

Intellectual and Cognitive History original ↗

5 Jun 2026

Taxonomies of World Models original ↗

4 Jun 2026

The World-Model Qualification Test original ↗

3 Jun 2026

What Is a World Model?original ↗

2 Jun 2026

Building a First World Model original ↗

1 Jun 2026

Responsible Deployment: Staged Release, Access Control original ↗

29 Mar 2026

Long-Form Generation: Outline, Hierarchy, and Coherence original ↗

28 Mar 2026

Test-Time Compute: Sampling, Refinement, Optimal Inference original ↗

27 Mar 2026

Learning Rate Warmup: Linear Warmup and Large Batch Training original ↗

24 Mar 2026

Deduplication: Exact, Near-Duplicate, and Substring Methods original ↗

22 Mar 2026

Hallucination Mitigation: RAG, Decoding, and Training original ↗

20 Mar 2026

Mechanistic Interpretability: Circuits, Induction Heads original ↗

20 Mar 2026

Research Directions: Open Problems, Benchmarks original ↗

20 Mar 2026

Societal Implications of AI: Labor, Equity, Regulation original ↗

20 Mar 2026

Alignment Challenges: Scalable Oversight, Goal Specification original ↗

20 Mar 2026

Hallucination Detection: NLI, Self-Consistency original ↗

19 Mar 2026

Probing Classifiers: Decoding What Language Models Learn original ↗

19 Mar 2026

Hallucination Types in Language Models original ↗

18 Mar 2026

Hallucination Causes: Why Language Models Fabricate Facts original ↗

18 Mar 2026

Representation Harms: Stereotyping, Erasure, and Bias original ↗

17 Mar 2026

Capability Frontiers: Emerging AI, World Models, Planning original ↗

17 Mar 2026

Fairness Metrics: Demographic Parity, Equalized Odds original ↗

16 Mar 2026

Efficiency Frontiers: Architecture, Hardware, and Inference original ↗

16 Mar 2026

Scaling Frontiers: Limits original ↗

15 Mar 2026

Bias Mitigation: Debiasing, CDA, and Fair Fine-tuning original ↗

15 Mar 2026

Bias Measurement: WEAT, Stereotype Scores, Fairness Metrics original ↗

14 Mar 2026

Model Cards: Documentation, Intended Use, and Limitations original ↗

13 Mar 2026

Bias in Language Models: Sources, Types and Amplification original ↗

13 Mar 2026

LLM Watermarking: Schemes, Detection, and Robustness original ↗

13 Mar 2026

Evaluation Prompt Engineering: Designing Reliable LLM Judges original ↗

12 Mar 2026

Memorization and Privacy in Language Models original ↗

11 Mar 2026