Best AI papers explained

431 Episodes

1. Throughput Limits for LLM Inference and AI Agent Scheduling

   Published: 4/14/2025
2. RL Post-training Amplifies Pretraining Behaviors in Language Models

   Published: 4/14/2025
3. Fast Adaptation of Behavioral Foundation Models

   Published: 4/14/2025
4. Proprietary Reward Models: Sustaining Advantage in Agentic AI

   Published: 4/13/2025
5. Why Multi-Agent LLM Systems Fail: A Comprehensive Study

   Published: 4/12/2025
6. Play2Prompt: Zero-Shot Tool Instruction Optimization via Tool Play

   Published: 4/12/2025
7. Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

   Published: 4/12/2025
8. API and GUI Agents: Divergence, Convergence, and Hybrid Approaches

   Published: 4/12/2025
9. AI, Chess, and Competitive Advantage: Substitution and Complementation

   Published: 4/12/2025
10. Knowledge of the Firm and Replication of Technology

    Published: 4/12/2025
11. Firm Resources and Sustained Competitive Advantage

    Published: 4/12/2025
12. Evaluating Pharmaceutical Marketing to Physicians with Panel Data

    Published: 4/12/2025
13. Theory of the firm in the era of Agents

    Published: 4/12/2025
14. Large Language Models: An Applied Econometric Framework

    Published: 4/12/2025
15. Evaluating the World Model Implicit in a Generative Model

    Published: 4/12/2025
16. Machine Learning for Hypothesis Generation in Social Science

    Published: 4/11/2025
17. Active Learning for Moral Preference Elicitation: Challenges and Nuances

    Published: 4/11/2025
18. Gradient-Based Surveys for Nonparametric Discrete Choice Experiments

    Published: 4/11/2025
19. Explainable Data-driven Share-of-choice Product Line Design Optimization

    Published: 4/11/2025
20. The More You Ask, the Less You Get: When Additional Questions Hurt External Validity

    Published: 4/11/2025