

Eye On A.I.
Craig S. Smith
Eye on A.I. is a biweekly podcast, hosted by longtime New York Times correspondent Craig S. Smith. In each episode, Craig will talk to people making a difference in artificial intelligence. The podcast aims to put incremental advances into a broader context and consider the global implications of the developing technology. AI is about to change your world, so pay attention.
Episodes
Mentioned books

Jun 26, 2024 • 49min
#194 Russell Palmer: How AI is Taking Over Hollywood and Changing Filmmaking Forever
Join host Craig Smith as he chats with Russell Palmer, a pioneer in AI for filmmaking. They discuss the app CyberFilm AI, democratizing filmmaking with AI tools. Learn about AI's potential in enhancing creativity, supporting diverse storytelling, and the future of AI in Hollywood. Russell also shares insights on analyzing scripts, storytelling in various media formats, and the impact of rising blockbuster costs on original storytelling.

Jun 13, 2024 • 54min
#193 Itamar Friedman: How CodiumAI is Making Bug-Free Code a Reality
Itamar Friedman, CEO of CodiumAI, discusses their goal of zero bugs in code and introduces tools like Codiumate and PR Agent. They explore flow engineering, AlphaCodium's efficiency, and AI's role in ensuring code quality. Learn how AI is revolutionizing software development and the future of coding.

Jun 9, 2024 • 42min
#192 Lukas Biewald: How Weights and Biases Supercharges Machine Learning
Lukas Biewald, CEO & co-founder of Weights & Biases, discusses the importance of data annotation, reinforcement learning with human feedback, and the role of Weights and Biases in enhancing machine learning workflows. He also highlights the significance of tracking experiments, ensuring data compliance, and the transformative impact of AI on industries.

Jun 5, 2024 • 57min
#191 Jonathan Gillham: AI or Human? Exploring Originality AI's Detection Technology
Jonathan Gillham, founder of Originality AI, discusses the origins and use cases of AI detection technology to distinguish between AI and human-generated content. He talks about the ethical considerations of AI-generated content, the challenges faced by web publishers using AI, and Google's stance on AI-generated spam. The podcast also explores the importance of differentiating between AI and human content, and advancements in testing new AI models like Gemini 1.5.

May 29, 2024 • 44min
#190 Peter Cousins: Fighting Financial Crimes with AI
CTO at WorkFusion Peter Cousins discusses how AI fights financial crimes through sanction screening, adverse media analysis, and KYC processes. The podcast delves into the challenges of implementing generative AI in finance, the importance of explainability, and the ongoing arms race against financial criminals.

May 24, 2024 • 59min
#189 Rahul Sonwalkar: The Future of Programming, AI-Powered Code Generation with Julius AI
Join Rahul Sonwalkar, CEO of Julius AI, as he discusses the future of programming with AI-powered code generation. Learn about Julius AI's innovative approach to data analysis, challenges in AI code generation, and real-world applications in financial analysis and biostatistics. Explore how Julius AI is revolutionizing programming with simple English commands and making data science accessible to everyone.

May 20, 2024 • 51min
#188 Edward Balassanian: The Evolution of AI Music
Edward Balassanian, CEO of Aimi, discusses AI music creation, training models with quality data, legal challenges in the music industry, and the applications of AI music in gaming, social media, and content creation. He explores Aimi's unique platform for generative music, emphasizing the importance of human elements in music creation and the future plans for the company.

May 18, 2024 • 58min
#187 Mohamed Elgendy: Systematic Testing for Generative AI Models with Kolena
Mohamed Elgendy from Kolena talks about systematic testing for AI models, emphasizing the importance of structured frameworks, human evaluation, and collaboration with industry bodies to shape AI standards. They discuss challenges in testing AI models, defining metrics, fine-tuning generative AI models, and risk mitigation strategies, highlighting the importance of ongoing monitoring and standardization.

May 12, 2024 • 1h 11min
#186 Ronen Dar: Maximizing GPU Utilization for AI with Run:ai
Ronen Dar, CTO of Run:ai, discusses maximizing GPU utilization for AI, tackling GPU shortage challenges, evolving towards larger models like GPT-4, and predicting an exponential increase in demand for computational power. The conversation delves into the intricacies of managing and optimizing GPU clusters efficiently and addressing the future of AI deployment across industries.

May 6, 2024 • 52min
#185 Damon Rasheed & Saurabh Jain: Achieving Up to 90% Accuracy in Predicting Drug Clinical Trial Outcomes with Opyl's Trialkey.ai
Damon Rasheed and Saurabh Jain of Opyl & Trialkey.ai discuss achieving 90% accuracy in predicting drug clinical trial outcomes using AI. They share insights on using past trials data, optimizing trial designs, and employing NLP for data processing. The episode highlights the impact of AI on revolutionizing pharmaceutical research and making trials more efficient.