Best AI papers explained
A podcast by Enoch H. Kang
515 Episoade
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The Minimalist AI Kernel: A New Frontier in Reasoning
Publicat: 06.08.2025 -
Statistical Rigor for Interpretable AI
Publicat: 06.08.2025 -
Full-Stack Alignment: Co-Aligning AI and Institutions with Thick Models of Value
Publicat: 04.08.2025 -
A foundation model to predict and capture human cognition
Publicat: 04.08.2025 -
Generative Recommendation with Semantic IDs: A Practitioner’s Handbook
Publicat: 04.08.2025 -
Hierarchical Reasoning Model
Publicat: 04.08.2025 -
Test-time Offline Reinforcement Learning on Goal-related Experience
Publicat: 04.08.2025 -
Interpreting Chain of Thought: A Walkthrough and Discussion
Publicat: 04.08.2025 -
The wall confronting large language models
Publicat: 04.08.2025 -
COLLABLLM: LLMs From Passive to Collaborative
Publicat: 31.07.2025 -
A decade's battle on dataset bias: are we there yet?
Publicat: 29.07.2025 -
GEPA: Generative Feedback for AI System Optimization
Publicat: 29.07.2025 -
From AI-Curious to AI-First: Engineering Production AI Systems
Publicat: 28.07.2025 -
Context Engineering: Beyond Simple Prompting to LLM Architecture
Publicat: 28.07.2025 -
Agentic Misalignment: LLMs as Insider Threats
Publicat: 28.07.2025 -
Small Language Models: Future of Agentic AI
Publicat: 28.07.2025 -
Learning without training: The implicit dynamics of in-context learning
Publicat: 28.07.2025 -
Inverse Scaling in Test-Time Compute
Publicat: 28.07.2025 -
LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra
Publicat: 28.07.2025 -
Microsoft's Blueprint: AI, Quantum, and the Agentic Future
Publicat: 26.07.2025
Cut through the noise. We curate and break down the most important AI papers so you don’t have to.
