Author: Google for Developers - Bewertung: 15x - Views:134
Dumi Erhan, co-lead of the Veo project at Google DeepMind, joins host Logan Kilpatrick for a deep dive into the evolution of generative video models. They discuss the journey from early research in 2018 to the launch of state-of-the-art Veo 3 model with native audio generation. Learn about the technical hurdles in evaluating and scaling video models, the challenges of long-duration video coherence and how user feedback is shaping the future of AI-powered video creation.
Chapters:
0:00 - Intro
0:37 - Veo project's beginnings
1:34 - Veo's origins in Google Brain
2:58 - Video prediction and robotics applications
5:44 - Early progress and evaluation challenges
8:00 - How to evaluate video models
10:19 - Physics-based evaluations and their limitations
12:14 - The launch of the original Veo model
14:04 - Scaling challenges for video models
16:13 - The leap from Veo1 to Veo2
17:42 - The role of audio in Veo3 and early challenges
19:37 - Veo 3’s viral audio moment
21:14 - User trends shaping Veo's roadmap
23:47 - Image-to-video vs. text-to-video complexity
25:57 - New prompting methods and user control
27:54 - Coherence in long video generation
33:26 - Genie 3 and world models
36:19 - The steerability challenge
42:47 - How video understanding aids generation
45:56 - Capability transfer and image data's role
48:15 - Future development and user feedback
Watch more Release Notes → https://goo.gle/4njokfg
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Speakers: Logan Kilpatrick, Dumitru Erhan
Products Mentioned: Google AI, Gemini
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