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Day 2 Keynote

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Keynote lists concrete engineering claims: Google runs a single mono repo with ~40,000 developers, a billion files and two billion lines of code, producing thousands of weekly commits and 20,000 code reviews per workday. It highlights tool investments like Bazel open source (used by Dropbox, Huawei, Stripe) and shows operational results — live VM creation, autoscaling and automated size recommendations, and serverless demos with Cloud Functions built in Warsaw that trigger from storage and withstand noisy speech and Lens-based image queries.

AI-written summary · about

  1. 0:00Start
  2. 0:30What End Users of Google Products Think about Google
  3. 3:51Two Main Types of Engineers in Google
  4. 5:16Google Cloud Platform
  5. 5:49Google Assistant
  6. 8:56Basil
  7. 12:34Eva Mukesh
  8. 15:15Google Cloud Platform Why Developers Choose Cloud
  9. 16:07Cloud Compute
  10. 18:16Live Demo
  11. 18:49Compute Engine
  12. 23:20Containers
  13. 23:57What Are Kubernetes
  14. 25:01Pokemon Go
  15. 25:56App Engine App Engine
  16. 26:59Cloud Functions
  17. 33:33The Google Assistant
  18. 36:06Mobile Revolution
  19. 36:34The Ai Revolution
  20. 39:38Tourist Attractions in Krakow
  21. 42:12Integration with Translate
  22. 44:04Side Effects of Aspirin
  23. 47:26Context
  24. 51:32So You Can See That I Said like Seven Eight Sentences about Empire State Building I Mentioned Only One Time and this Is all Thanks to the Power of Context and Trying To Put Context into the Conversational Understanding so this Is Much More Getting Closer to How People Talk Still There's Lots of Problem To Be Solved There but We'Re Excited about these Steps in the Right Direction Now I Want To Show Next another Example of Context Which Is Context of What You See So for that Time Basically Trying To Show some Examples of Integration of Google Lens with the Assistant Where We'Re Adding Visual Input to the Assistant if
  25. 53:35The Last Example I Want To Show You Is the Speech Recognition Often Worked Here I Want To Show You Also that We Have Worked on Improving a Speech Recognition in a Noisy Environment So for that I Need Your Help and Remember the Setup Will Be that They Will Cut My Mic and I Will Ask all of You To Make As Much Noise as You Can Your Mission Should Be To Make Me Fail and I Will Ask and I Will Ask a Question like My Favorite Team When My Favorite Team Is Playing Next and Yeah We Can all Then Put some Music To Make the Noise To Be Higher It's Okay if I Fail It's Just Fun Let's Do It
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