Best AI papers explained

442 Episodes

1. MCP is (not) all you need

   Published: 4/6/2025
2. AI, Human Skills, and Competitive Advantage in Chess

   Published: 4/5/2025
3. Inference-Time Scaling for Generalist Reward Modeling

   Published: 4/4/2025
4. Optimal Pure Exploration in Linear Bandits via Sampling

   Published: 4/4/2025
5. Presidential Address: The Economist as Designer in the Innovation Process for Socially Impactful Digital Products

   Published: 4/4/2025
6. Emergent Symbolic Mechanisms for Reasoning in Large Language Models

   Published: 4/3/2025
7. Inference-Time Alignment: Coverage, Scaling, and Optimality

   Published: 4/3/2025
8. Sharpe Ratio-Guided Active Learning for Preference Optimization

   Published: 4/3/2025
9. Active Learning for Adaptive In-Context Prompt Design

   Published: 4/3/2025
10. Visual Chain-of-Thought Reasoning for Vision-Language-Action Models

    Published: 4/3/2025
11. On the Biology of a Large Language Model

    Published: 4/1/2025
12. Async-TB: Asynchronous Trajectory Balance for Scalable LLM RL

    Published: 4/1/2025
13. Instacart's Economics Team: A Hybrid Role in Tech

    Published: 3/31/2025
14. Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework

    Published: 3/31/2025
15. Why MCP won

    Published: 3/31/2025
16. SWEET-RL: Training LLM Agents for Collaborative Reasoning

    Published: 3/31/2025
17. TheoryCoder: Bilevel Planning with Synthesized World Models

    Published: 3/30/2025
18. Driving Forces in AI: Scaling to 2025 and Beyond (Jason Wei, OpenAI)

    Published: 3/29/2025
19. Expert Demonstrations for Sequential Decision Making under Heterogeneity

    Published: 3/28/2025
20. TextGrad: Backpropagating Language Model Feedback for Generative AI Optimization

    Published: 3/27/2025