Best AI papers explained

550 Episodes

1. Hierarchical Reasoning Model

   Published: 8/4/2025
2. Test-time Offline Reinforcement Learning on Goal-related Experience

   Published: 8/4/2025
3. Interpreting Chain of Thought: A Walkthrough and Discussion

   Published: 8/4/2025
4. The wall confronting large language models

   Published: 8/4/2025
5. COLLABLLM: LLMs From Passive to Collaborative

   Published: 7/31/2025
6. A decade's battle on dataset bias: are we there yet?

   Published: 7/29/2025
7. GEPA: Generative Feedback for AI System Optimization

   Published: 7/29/2025
8. From AI-Curious to AI-First: Engineering Production AI Systems

   Published: 7/28/2025
9. Context Engineering: Beyond Simple Prompting to LLM Architecture

   Published: 7/28/2025
10. Agentic Misalignment: LLMs as Insider Threats

    Published: 7/28/2025
11. Small Language Models: Future of Agentic AI

    Published: 7/28/2025
12. Learning without training: The implicit dynamics of in-context learning

    Published: 7/28/2025
13. Inverse Scaling in Test-Time Compute

    Published: 7/28/2025
14. LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra

    Published: 7/28/2025
15. Microsoft's Blueprint: AI, Quantum, and the Agentic Future

    Published: 7/26/2025
16. Zuckerberg's AI Vision Analyzed

    Published: 7/26/2025
17. Inside Claude: Scaling, Agency, and Interpretability

    Published: 7/26/2025
18. Personalized language modeling from personalized human feedback

    Published: 7/26/2025
19. Position: Empowering Time Series Reasoning with Multimodal LLMs

    Published: 7/25/2025
20. An empirical risk minimization approach for offline inverse RL and Dynamic Discrete Choice models

    Published: 7/22/2025