Best AI papers explained

481 Episodes

1. Sutton and Silver: The Era of Experience: Learning Beyond Human Data

   Published: 4/19/2025
2. Sample, Don't Search: Rethinking Test-Time Alignment for Language Models

   Published: 4/19/2025
3. AI Agents: Echoes of Past Technology Pivots?

   Published: 4/19/2025
4. Minimalist LLM Reasoning: Rejection Sampling to Reinforcement

   Published: 4/19/2025
5. Securing the Model Context Protocol in Enterprise Environments

   Published: 4/19/2025
6. Improving Multi-Turn Tool Use with Reinforcement Learning

   Published: 4/19/2025
7. Cultural Knowledge Conservation and Control in Large Language Models

   Published: 4/19/2025
8. Data Quality, Repetition, and Scaling of Language Models

   Published: 4/18/2025
9. Compute-Optimal Scaling Laws for Language Models Revisited

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

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

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

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

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

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

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

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

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

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

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

    Published: 4/12/2025