Super Data Science: ML & AI Podcast with Jon Krohn
862: In Case You Missed It in January 2025
Feb 14, 2025
Florian Neukart, a quantum computing expert, discusses how this cutting-edge technology can revolutionize optimization across various fields. Brooke Hopkins, an engineer and entrepreneur, shares insights on her company Coval, which helps users assess AI agents using tailored metrics. They explore the challenges of understanding exponential growth in AI and the intricacies of selecting foundation models. Their conversation also delves into innovative ways to evaluate conversational agents, emphasizing the importance of context and dynamic performance metrics.
31:51
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Quick takeaways
- Understanding the exponential nature of technological advancements is crucial, as traditional linear thinking can hinder effective adaptation to rapid changes.
- Quantum computing holds significant promise for optimizing complex logistical challenges, exemplified by its application in enhancing Volkswagen's car testing schedule efficiency.
Deep dives
The Exponential Impact of Technology
The rapid advancement of technology is fundamentally exponential, contrasting with the linear intuitions many people hold. This disconnect can make it challenging for individuals, even experts, to understand and predict the pace of change, as illustrated by how the COVID pandemic displayed exponential infection rates. The concept of utilizing first principles thinking emerges as a critical tool for navigating this landscape, allowing people to reconsider outdated frameworks that fail to account for the speed of technological development. By leveraging mechanisms such as compounding—akin to compound interest—businesses can better prepare for technological shifts and embrace growth models that reflect exponential trends.
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