People of AI

Bibo Xu is a Product Manager at Google DeepMind and leads Gemini's multimodal modeling. This video dives into Google AI's journey from basic voice commands to advanced dialogue systems that comprehend not just what is said, but also tone, emotion, and visual context. Check out this conversation to gain a deeper understanding of the challenges and opportunities in integrating diverse AI capabilities when creating universal assistants. 
Resources: 
Chapters:
0:00 - Intro 
1:43 - Introducing Bibo Xu
2:40 - Bibo's Journey: From business school to voice AI 
3:59 - The genesis of Google Assistant and Google Home 
6:50 - Milestones in speech recognition technology 
13:30 - Shifting from command-based AI to natural dialogue 
19:00 - The power of multimodal AI for human interaction 
21:20 - Real-time multilingual translation with LLMs 
25:20 - Project Astra: Building a universal assistant 
28:40 - Developer challenges in multimodal AI integration 
29:50 - Unpacking the "can't see" debugging story 
35:10 - The importance of low latency and interruption 
38:30 - Seamless dialogue and background noise filtering 
40:00 - Redefining human-computer interaction 
41:00 - Ethical considerations for humanlike AI 
44:00 - Responding to user emotions and frustration 
45:50 - Politeness and expectations in AI conversations 
49:10 - AI as a catalyst for research and automation 
52:00 - The future of AI assistants and tool use 
52:40 - AI interacting with interfaces 
54:50 - Transforming the future of work and communication 
55:19 - AI for enhanced writing and idea generation 
57:13 - Conclusion and future outlook for AI development
Subscribe to Google for Developers → https://goo.gle/developers 
Speakers: Bibo Xu, Christina Warren, Ashley Oldacre 
Products Mentioned: Google AI, Gemini, Generative AI, Android, Google Home, Google Voice, Project Astra, Gemini Live, Google DeepMind

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

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
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Speaker: Christina Warren, Ashley Oldacre,  Eliza McNitt, Ben Wiley, Corey Matthewson, 
Products Mentioned: Google AI, Gemini, Veo 2, Veo 3

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

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