Justin Strharsky, co-founder of humyn.ai, joins Bob Pulver to discuss the power of collective intelligence and the role of AI in solving complex problems. He explains how humyn.ai uses competition and collaboration to bring together a global community of data scientists to solve data challenges. Humyn.ai's crowdsourcing approach has proven very effective, where multiple independent solutions can lead to higher confidence and the discovery of valuable outlier answers. Strharsky emphasizes the importance of constraints and the right incentives to maximize contributions and ensure the best outcomes. It's a wide-ranging and insightful discussion on myriad topics, each relevant to the future of work design and dynamic workforce ecosystems.

Keywords

collective intelligence, AI, data science, competition, collaboration, constraints, incentives, outcomes

Takeaways

Sound Bites

Chapters

00:00 Introduction and Background

02:16 Competition and Collaboration in Solving Data Challenges

07:17 IP Ownership and Collaboration Opportunities

09:17 The Power of Cognitive Diversity and Subject Matter Expertise

13:59 Finding the Right Constraints for Optimal Solutions

22:15 Transparency, Observability, and Intellectual Property

25:04 The Need for Responsible and Ethical AI Use

28:33 The Potential of AI in Enhancing Human Thinking

31:39 The Importance of Engaging with AIQ and Avoiding Over-Optimism

36:05 The Value of Solving Mundane Problems and Creating a World of Abundance

39:01 The Future of AI and Collective Intelligence

42:10 Navigating the AI Landscape and Ensuring Clear Understanding

45:17 The Importance of Critical Evaluation and Avoiding Overwhelm

46:33 Elevating AIQ: Engaging with Tools Practically and Focusing on Problem Solving

Justin Strharsky: https://www.linkedin.com/in/justin-strharsky

https://humyn.ai