Episode 7: Project Vend Update, Hallucinating Neurons, and Year End Reflections
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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