Best AI papers explained

153 Episodes

1. Compute-Optimal Scaling Laws for Language Models Revisited

   Published: 4/18/2025
2. Concise Reasoning via Reinforcement Learning

   Published: 4/18/2025
3. Throughput Limits for LLM Inference and AI Agent Scheduling

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Published: 4/11/2025