Best AI papers explained

442 Episodes

1. DINOv3: Vision Models for Self-Supervised Learning

   Published: 8/15/2025
2. Agent Lightning: Training Any AI Agents with Reinforcement Learning

   Published: 8/14/2025
3. Computational-Statistical Tradeoffs at the Next-Token Prediction Barrier

   Published: 8/14/2025
4. From Model Weights to Agent Workflows: Charting the New Frontier of Optimization in Large Language Models

   Published: 8/12/2025
5. Is Chain-of-Thought Reasoning a Mirage?

   Published: 8/12/2025
6. Agentic Web: Weaving the Next Web with AI Agents

   Published: 8/11/2025
7. The Assimilation-Accommodation Gap in LLM Intelligence

   Published: 8/10/2025
8. The Minimalist AI Kernel: A New Frontier in Reasoning

   Published: 8/6/2025
9. Statistical Rigor for Interpretable AI

   Published: 8/6/2025
10. Full-Stack Alignment: Co-Aligning AI and Institutions with Thick Models of Value

    Published: 8/4/2025
11. A foundation model to predict and capture human cognition

    Published: 8/4/2025
12. Generative Recommendation with Semantic IDs: A Practitioner’s Handbook

    Published: 8/4/2025
13. Hierarchical Reasoning Model

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

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

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

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

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

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

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

    Published: 7/28/2025