Description
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 Connect with ADIPod Email us at humans@adipod.ai you have any feedback, requests, or just want to say hello! Checkout our website www.adipod.ai