incremental approach

(00:00) Artificial General Intelligence vs. Narrow AI

 

This chapter explores the challenges of achieving artificial general intelligence (AGI) compared to narrow or weak AI. The hosts engage in a discussion about the need for machines to possess human-like cognition, common sense, and adaptability in order to achieve AGI. They also touch on ethical and societal considerations surrounding AGI development. The conversation highlights the complexities and limitations that must be overcome to achieve true AGI. The hosts address fears about the immediate future of AI, acknowledging valid concerns about the potential impact of AGI on society. They discuss potential development directions that could help overcome these challenges and bring us closer to achieving AGI.

 

(09:40) Leveraging AI for Productivity and Efficiency

 

This chapter explores the potential of AI and its development direction. We discuss the ethical and social concerns surrounding the distribution of AI's power and the democratization of its access. We also highlight the practical applications of AI in daily activities and business ventures, emphasizing the benefits of leveraging its computational abilities to control computing devices. Additionally, we touch upon the idea of utilizing AI for centralized processing and facilitating interactions in various languages. Our guest shares their approach of circumventing the need for deep processing in every interaction while harnessing the power of AI for specific computational tasks. We also delve into the potential for AI to augment human capabilities and streamline processes in various fields. The chapter concludes with a discussion on how a central AI unit can be used to plan and execute tasks, with human control and inspection.

 

(16:54) Efficient Workflows With AI for Goals

 

This chapter explores the integration of AI into the workplace, distinguishing between artificial general intelligence (AGI) and narrow or weak AI. We discuss the potential capabilities of AI and its seamless integration with human decision-making processes. The practical applicability of AI in automating routine business tasks and the concept of symbiotic human-AI collaboration are also examined. Ethical considerations and the importance of human oversight in AI-driven actions are touched upon. We highlight the incremental and practical approach to maximizing the potential of AI in various contexts. Overall, we offer a compelling perspective on the benefits and challenges of integrating AI into the workplace.

 

 

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Learning to teach math teachers better with Dr. Sam Otten, Associate Professor, Lois Knowles Faculty Fellow, and Department Chair in Learning, Teaching, and Curriculum at the University of Missouri, as he shares advice and insight on the importance of listening to teachers when working to improve instructional practice in mathematics classrooms. He also discusses his research on flipped mathematics instruction, and the Math Ed Podcast that he started in 2012. Links from the episode: Math Ed Podcast https://www.podomatic.com/podcasts/mathed Teddy Chao and OSU Digital Math Storytelling https://u.osu.edu/digitalmathstorytelling/ Flipped Math Study www.flippedmathstudy.net Practice-Driven PD Project www.practicedrivenpd.com AMTE Connections article with Sean Yee and Megan Taylor about what teachers think should be in secondary methods courses. https://www.rcml-math.org/assets/Newsletter/rcml%20newsletter%20may%202018.pdf To apply for a Ph.D. in Math Education at the University of Missouri www.mizzoumathed.org Missing Letters: An Alphabet Book http://www.missinglettersbook.com Special Guest: Sam Otten.