Agentic Prediction - EP 52 - Michael Ulin - Tenki AI скачать в хорошем качестве

Agentic Prediction - EP 52 - Michael Ulin - Tenki AI

In this conversation, Michael Ullam, CEO of Tenki AI, discusses the intricacies of building AI agents, particularly in the context of prediction markets. He emphasizes the importance of understanding limitations, building trust with users, and the architecture of multi-agent systems. Michael shares insights on logging practices, avoiding overfitting, and the cost-effectiveness of predictions. He also touches on the long-term vision for Tenki AI, strategies for product launch, and the advantages of bootstrapping a startup. Throughout the discussion, he provides valuable advice for founders looking to navigate the AI landscape. takeaways Understanding limitations is crucial for AI agents. Building trust with users is essential for success. Multi-agent systems can improve forecasting accuracy. Breaking down problems into subcomponents enhances performance. Logging practices are vital for system improvement. Avoiding overfitting is key to reliable predictions. Rapid feedback loops are beneficial in prediction markets. Validating demand before product development is important. Bootstrapping can be more efficient than seeking venture funding. Focus on solving real problems that you personally experience. titles Unlocking the Power of AI Agents Building Trust in AI Systems Sound Bites "What actually works when building agents?" "Logging everything helps improve the system." "Validate demand before building your product." Chapters 00:00 Introduction to Tenki AI and Michael Ullam 00:48 Building Trust in AI Agents 03:37 Understanding Tenki's Multi-Agent Architecture 06:56 Challenges in Multi-Agent Systems 10:16 Logging and Evaluation Practices 12:32 Avoiding Overfitting in Predictions 15:01 Cost and Efficiency of Predictions 17:23 Long-Term Vision for Tenki AI 19:09 Common Playbook for Building AI Agents 20:58 Advice for Founders in AI Development 30:40 Opportunities in AI and Final Thoughts https://www.docsie.io Join us on Discord   / discord