Creative storytelling with AI: The making of Ancestra
In this episode of People of AI , we take you behind the scenes of "ANCESTRA," a groundbreaking film that integrates generative artificial intelligence into its core. Hear from the director Eliza McNitt and key collaborators from the Google DeepMind team about how they leveraged AI as a new creative tool, navigated its capabilities and limitations, and ultimately shaped a unique cinematic experience. Understand the future role of AI in filmmaking and its potential for developers and storytellers. Chapters: 0:00 - Introduction to Ancestra: AI in filmmaking 3:38 - The Origin Story of ANCESTRA 5:35 - Google DeepMind and Primordial Soup collaboration 11:47 - Veo and the creative process 20:21 - Behind the scenes: Making the film 28:47 - Generating videos: Gemini and Veo tools 38:11 - AI as a creative tool, not a replacement 47:41 - AI's impact and the future of the film industry 53:51 - Generative models: A new kind of camera 57:46 - Rapid fire & conclusion Resources: Ancestra → https://goo.gle/4mVScNW Making of ANCESTRA → https://goo.gle/3JVJil1 Veo 3 → https://goo.gle/4mWn3Kz Veo 3 Documentation → https://goo.gle/46qqFOV Veo 3 Cookbook → https://goo.gle/3VMVFSZ Google Flow → https://goo.gle/3VMVR4F Watch more People of AI → https://goo.gle/PAI Subscribe to Google for Developers → https://goo.gle/developers #PeopleofAI Speaker: Christina Warren, Ashley Oldacre, Eliza McNitt, Ben Wiley, Corey Matthewson, Products Mentioned: Google AI, Gemini, Veo 2, Veo 3
--------
1:01:40
--------
1:01:40
The evolved developer with Muhammad Farooq
Meet Muhammad Farooq, a machine learning engineer and a YouTuber on the channel @engineerprompt, where he explains AI concepts and builds his own projects. In this episode of People of AI, hosts Ashley and Christina chat with Muhammad about his journey in tech, his open source project localGPT, and how he's helping organizations deploy scalable AI solutions. Chapters: 0:00 Intro 3:15 From Ph.D to YouTube Creator 4:50 First viral YouTube hit 8:20 RAG and why it matters 11:20 The origins of localGPT 15:20 What has changed with building in the last 2 years 18:35 How AI tools and models have matured 19:50 Becoming a technical manager to LLMs 22:20 What agentic coding has enabled Muhammad to build in localGPT 2.0 27:45 Better maintaining open source projects by leveraging AI 28:50 What to watch out for when building with agentic systems 31:20 Advice for junior developers 35:40 Differences between how junior devs and senior devs use AI tools 39:19 Specs-driven development 41:20 Advice for experimenting with AI tools 42:50 The problem with overly-agreeable LLMs 45:10 Why long-context windows are useful for coding 47:30 Advice for someone launching a tech-focused YouTube channel 51:40 Rapid Fire Questions Resources: @engineerprompt YouTube Channel → https://goo.gle/4m8HCmn localGPT → https://goo.gle/45qwiuH localGPT 2.0 - Building the Best Private RAG System → https://goo.gle/4fwvyJb Muhammad’s website → https://goo.gle/47aHaj9 Muhammad on X → https://goo.gle/4lraJjz Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity → https://goo.gle/4oqVGct Watch more People of AI → https://goo.gle/PAI Subscribe to Google for Developers → https://goo.gle/developers #PeopleofAI Speaker: Christina Warren, Ashley Oldacre Products Mentioned: AI
--------
55:31
--------
55:31
Season 5 - Shaping the agentic future with Clement Farabet
Join hosts Ashley Oldacre and Christinia Warren as they kick off Season 5 of the People of AI podcast with their first guest, Clement Farabet, VP of Research at Google DeepMind. They discuss the evolution of AI, from early neural networks to the latest advancements in large language models and AI agents. Learn how research and product teams work together to bring developers the best tools to build with and are setting the stage for an agentic future. Resources: Clement Farabet → https://goo.gle/3UrbHkO “Attention is all you need” Paper → https://goo.gle/4kTmrmM Google DeepMind Models →https://goo.gle/4f1doPq AI Studio → https://goo.gle/4kSvjJu Agentic systems → https://goo.gle/41aqOmq Watch more People of AI → https://goo.gle/PAI
--------
52:37
--------
52:37
Building human-centered AI products with Ovetta Sampson
Meet Ovetta Sampson, Director of UX for AI compute enablement at Google. She shares her unique path from journalism to AI, including her work on groundbreaking projects prioritizing human-centered design principles. Discover valuable insights into making AI more accessible, the importance of responsible development, and more in this episode of People of AI. Resources: Generative AI and creative arms race → https://goo.gle/4jdALHg Lessons Learned from Mixing Data Science and Design Research Methods to Improve Customer Service → https://goo.gle/4jdALHg AI Ethics → https://goo.gle/4aoUpvX
--------
57:49
--------
57:49
The intersection of AI, art, and design with Douglas Edric Stanley and Anthony Masure
Join Ashley Oldacre as she hosts a conversation with artist Douglas Edrick Stanley and Dean of Research at Geneva University of Art and Design Anthony Masure. They discuss their origin stories, the role of AI in creative fields, and the value of critical thinking in a technology-driven world. Resources: Geneva School of Art and Design: https://goo.gle/4fNLYvh Anthony Masure: https://goo.gle/3PsxiqH Douglas Edric Stanley: https://goo.gle/4gJRu3f Artificial Design: Creation Versus Machine Learning: https://goo.gle/40mIGuy Art school in Aix-en-Provence: https://goo.gle/3PspDIV Caran D’Ache: https://goo.gle/4gKn4xL Drawing and AI: https://goo.gle/4jcmDhF Artists: Varvara & Mar: https://goo.gle/3BX0djF Assembling Intelligence Exhibition: https://goo.gle/3Pslg0x Myth of Janus: https://goo.gle/405CHZL #PeopleofAI
People of AI is a podcast showcasing inspiring people with interesting stories in the world of Artificial Intelligence (AI) and its subset, Machine Learning (ML). The podcast will interview leaders, practitioners, researchers and learners in the field of AI/ML and invite them to share their stories, what they are building, lessons learned along the way, and excitement for the AI/ML industry.