People of AI

What is Vets Who Code: Teaching veterans and leveraging AI

Learn about Jerome Hardaway's incredible journey from military service to self-taught software engineer and founder of Vets Who Code. This video delves into how he built a thriving community, teaching veterans to code and secure jobs in tech. Discover his unique "crawl, walk, run" learning methodology and how he integrates modern AI tools like Gemini and JetBrains into his curriculum, preparing developers for the evolving landscape of software engineering and data science. Chapters: 0:00 - Introduction to Jerome Hardaway's journey 1:17 - Vets Who Code: Building a community 2:15 - The "crawl, walk, run" learning process 8:49 - The impact of structured learning 11:00 - The vision for teaching veterans to code 16:10 - Measuring success and defining a "coder" 18:09 - Leveraging AI with Gemini for performance 19:01 - Customizing learning paths with AI 26:42 - Data-driven curriculum and job market trends 29:29 - Quickfire questions: Automating schedules with AI 33:35 - The next problems to solve: Workforce changes and AI 35:29 - The future of AI agents Resources:  VetsWhoCode https://vetswhocode.io/ Jerome on Threads https://www.threads.com/@jeromehardaway Vets Who Code GitHub https://github.com/Vets-Who-Code Watch more People of AI → https://goo.gle/PAI  Subscribe to Google for Developers → https://goo.gle/developers  Speaker: Christina Warren, Jerome Hardaway  Products Mentioned: Google AI, Gemini,  Generative AI

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

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  

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 

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