Best AI papers explained

183 Episodes

1. Reexamining the Aleatoric and Epistemic Uncertainty Dichotomy

   Published: 5/8/2025
2. Decoding Claude Code: Terminal Agent for Developers

   Published: 5/7/2025
3. Emergent Strategic AI Equilibrium from Pre-trained Reasoning

   Published: 5/7/2025
4. Benefiting from Proprietary Data with Siloed Training

   Published: 5/6/2025
5. Advantage Alignment Algorithms

   Published: 5/6/2025
6. Asymptotic Safety Guarantees Based On Scalable Oversight

   Published: 5/6/2025
7. What Makes a Reward Model a Good Teacher? An Optimization Perspective

   Published: 5/6/2025
8. Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems

   Published: 5/6/2025
9. Identifiable Steering via Sparse Autoencoding of Multi-Concept Shifts

   Published: 5/6/2025
10. You Are What You Eat - AI Alignment Requires Understanding How Data Shapes Structure and Generalisation

    Published: 5/6/2025
11. Interplay of LLMs in Information Retrieval Evaluation

    Published: 5/3/2025
12. Trade-Offs Between Tasks Induced by Capacity Constraints Bound the Scope of Intelligence

    Published: 5/3/2025
13. Toward Efficient Exploration by Large Language Model Agents

    Published: 5/3/2025
14. Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT

    Published: 5/2/2025
15. Self-Consuming Generative Models with Curated Data

    Published: 5/2/2025
16. Bootstrapping Language Models with DPO Implicit Rewards

    Published: 5/2/2025
17. DeepSeek-Prover-V2: Advancing Formal Reasoning

    Published: 5/1/2025
18. THINKPRM: Data-Efficient Process Reward Models

    Published: 5/1/2025
19. Societal Frameworks and LLM Alignment

    Published: 4/29/2025
20. Risks from Multi-Agent Advanced AI

    Published: 4/29/2025