In this episode, Shimin and Dan explore the latest advancements in AI coding, including NVIDIA's new models, the implications of AI-generated code, and the outcome of Anthropic's project Vend, AI management of vending machines. They also discuss the significance of multi-agent systems in coding, the concept of vibe coding, and delve into the research on hallucination neurons in large language models. The episode concludes with a year-end review reflecting on the rapid developments in AI technology throughout 2025.

Takeaways

• AI-generated code has been found to create more problems than human code.
• AI in vending machines has led to humorous and unexpected outcomes.
• Multi-agent systems can enhance the coding process by providing diverse solutions.
• H-neurons in LLMs are linked to hallucination and overcompliance.
• Year-end reflections highlight the rapid adoption of AI in the industry.
• The future of AI coding looks promising with ongoing innovations.

Resources Mentioned
NVIDIA Nemotron 3 Family of Models
GLM-4.7: Advancing the Coding Capability
Our new report: AI code creates 1.7x more problems
Project Vend: Phase two
Claude Code Changelog
One Agent Isn't Enough
Vibe Coding
H-Neurons: On the Existence, Impact, and Origin of Hallucination-Associated Neurons in LLMs
2025 LLM Year in Review

Chapters

• (00:00) - Introduction to AI Coding Landscape
• (05:00) - GLM 4.7 and Chinese AI Models
• (09:27) - Project Vend: AI Vending Machine Experiment
• (13:42) - Using Multiple AI Agents for Coding
• (22:51) - Exploring Agent-Based Approaches
• (30:28) - Deep Dive into Hallucination Neurons
• (36:07) - Dan's Rant: Context Management in AI

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