Not So Standard Deviations

Hilary Parker, a keynote speaker focused on LLMs and data science, joins Roger Peng, an expert in programming languages. They explore the future of programming languages like R in the age of LLMs. Privacy concerns in AI, particularly in email communication, are discussed alongside the balance of honesty in feedback. The conversation highlights the impact of AI on quality control, the enduring legacy of COBOL, and the importance of transparency in data science. They also share humorous insights on the challenges of educating children in complex subjects.

Hilary and Roger delve into the fascinating world of statistics, unpacking everyday terms. They discuss Apple's latest AI advancements and Microsoft's Recall feature. The conversation touches on the rise of machine learning in daily discussions and the challenges of navigating self-driving cars. They also explore how AI can enhance emotional support and foster better communication. With a playful debate on coffee versus matcha, the hosts keep the tone light while tackling such important topics amidst the evolving tech landscape.

Hilary and Roger discuss limitations of AI image generation and the possibility of replacing both podcast hosts with robots.   Show Notes: Support us on Patreon Roger Peng Hilary Parker List of NSSD Fellows Get the Not So Standard Deviations book Subscribe to the podcast on Apple Podcasts Subscribe to the podcast on Google Play Find past episodes Contact us at nssdeviations @ gmail.com Podcast art by Jessica Crowell

The podcast discusses the latest AI news, the use of game-changing technology in startups, challenges in evaluating model performance, sci-fi movies' impact on society, the potential of humanoid robots, rethinking data collection methods, and the importance of precise terminology in data science.

The podcast discusses a consulting engagement gone wrong, explores red teaming in security, human responses in high-stress situations, challenges in tech job security, and origins of red teaming. It also covers tech layoffs, COVID testing struggles, behavioral insights, and driving perceptions, as well as frustrations and misunderstandings in consulting work.

The podcast covers topics such as social media platforms and engagement with data science news, benefits of an arthritis drug for aging cats, data science conversations on Masseson, the differences between search engines and language models, the story of John Tukey and his technique called median polish, and reflections on science fiction and accurate predictions.

Discussion on what makes a data analytic tool informative, with Hilary getting furious. Topics also include relocating employees, architectural landmarks in San Diego, exploring novel ideas, analyzing weather data, reevaluating data and statistics, data analysis and modeling, client needs in data design, teaching creativity, music theory and data analysis, and navigating frustrations in a job.

The hosts discuss AI, data science, and predictions for 2024. They explore the use of chat GPT in education, the challenges of assessing people and coding skills in a data science course, and evaluating CEOs and CEO behaviors. They also touch on public safety, politics, and the impact of social media. Additionally, they analyze the value creation and destruction by a CEO and share predictions for 2024 while discussing challenges in AI design.

Hilary discusses her new ChatGPT consulting business and the future of AI in data analysis. The podcast also explores the need for coaching and curriculum in utilizing new technology, the importance of delegation in running a large organization, using GPT for organizing a book collection, and the challenges of implementation. Additionally, the hosts reflect on their music collections, discuss an article about the Israeli intelligence service, and talk about TV and movie characters who are analysts and the future of education.

Improving ChatGPT interactions, lessons from Terminator 2, using GPT for coaching, storing memories for hyper memory, parental influence on movie viewing, limitations and potential of algorithms, programming and machine behavior in Terminator, Arnold Schwarzenegger's voice, GPT's capabilities and ethical dilemmas.