This podcast analyzes the performance of several large language models (LLMs) — Gemini 2.0 Flash, 03 Mini, DeepSeek R1, Claude 2, and GPT 4.0 — as AI agents across three key tasks: instruction following, tool use, and retrieving information from large datasets (RAG). The tests evaluated each model's speed, cost, accuracy, and token usage. The results indicate that 03 Mini is the most well-rounded performer, while Gemini 2.0 Flash excels in RAG tasks due to its vast context window. The video also provides source code and additional resources for viewers. Which one performs the best?

Keywords: AI Agents, Agentic AI Systems, Artificial Intelligence, AI Economy, AI-Driven Economy, Autonomous AI, Self-Funding AI, Blockchain, Cryptocurrency, Web3, Decentralization, AI in Finance, AI Trading, AI Agents in Web3, Future of AI, AI Advancements, AI Impact on Jobs, Job Displacement, Skills for AI Age, AI Ethics, AI Governance, AI Regulation, Economic Paradigm, Software Disruption, Agent Economy, Decentralized Autonomous Organizations (DAOs), AI and Drug Discovery, Nvidia, Jensen Huang, AI Technology, Virtual Worlds for AI, AI Service Economy, Financial Autonomy for AI, AI Wallets, Digital Assets, Human-AI Collaboration, Demographic Challenges, Autonomous General Intelligence (AGI).