Data Skeptic

Becky Hansis-O’Neil, Ph.D. student at the University of Missouri, St Louis, and co-host for the new 'Animal Intelligence' season, discusses topics such as different types of learning in animals, the use of cameras to study bee behavior, integrating AI tools in cybersecurity, operant conditioning in ant lions, and the challenges of understanding ant brains and insect emotions.

AI experts Pramit Choudhary and Frank Bell join Kyle for an open discussion on the impacts of LLMs and machine learning in industry. Topics include division of labor in ML, challenges of training AI models, accessibility of AI, successful LLM deployments, battle against bad actors, and excitement for progress in AI deployment.

Policy Advisor Darren McKee, host of Reality Check podcast, discusses AGI achievements, defining AGI and its differentiation from AI. He explores concerns about AI surpassing human understanding, nefarious uses of AI, whether AI possesses inherently evil intentions, and thoughts on regulating AI.

The podcast explores the utilization of large language models in daily life and work processes. It discusses the challenges and risks of using them as a service, the concept of retrieval augmented generation, and the use of embeddings and LLMs in text analysis and product development. The podcast also delves into the applications of text embeddings in similarity, search, and classification tasks, while addressing their limitations and potential risks.

In this Q&A episode, the host discusses finding guests algorithmically, exploring impactful technologies and tools, data annotation as remote work, Cue Basic programming language, programming experiences and hacker culture, 'grab' command line utility and the importance of Git for source control.

Amir Netz, Technical Fellow at Microsoft and CTO of Microsoft Fabric, discusses how business intelligence has evolved, Power BI and Fabric, building and deploying ML models, benefits of Fabric's auto-integration and auto-optimization, Copilot capabilities, and future developments.

Eric Boyd, Corporate Vice President of AI at Microsoft, shares how organizations can leverage AI for faster development. He discusses the benefits of using natural language to build products and the future of version control. Eric mentions some foundational models in Azure AI and their capabilities.

Joining us on this episode are Aaron Reich, CTO at Avanade, and Priyanka Shah, MVP for Microsoft AI. They discuss implementing generative AI for productivity gain, AI model evolution, hardware changes, designing new products and services, current state of AI strategy, and building a custom co-pilot.

Jenny Liang, a PhD student at Carnegie Mellon University, discusses her recent survey on the usability of AI programming assistants. She shares some questions and takeaways from the survey, as well as the major reasons developers don't want to use code-generation tools. Concerns about intellectual property and the access code-generation tools have to in-house code are discussed.

PhD students Aman Madaan and Shuyan Zhou discuss their paper on Program-Aided Language Models. They talk about the evolution and performance of LLMs on arithmetic tasks. Aman introduces PAL and its improvement on arithmetic tasks. Shuyan explains how PAL's performance was evaluated and the limitations of LLMs. They discuss the potential impact of PAL on math education and future research steps.