Joke aside: I would imagine someone at Google looking at all that YouTube data and thinking what everyone else is thinking...
Considering that LLaMA shows us capable a smaller model can be when trained on an extremely large dataset, this feels like a no-brainer.
I await the actual announcement.
"YouTubeAI will give every 6-year old child the capability to be my boss, and the guidance to get there" - Jeff Dean, Head of Google AI
Youtube AI is the the most powerful AI model ever built, with 1 trillion parameters, trained on a staggering 1 billion internet videos and the entire google knowledge graph using 20,000 GPUs and 10,000 TPUs, taking 2 billion GPU hours, equivalent to over 226,000 years of continuous computing on a single GPU, and costing over $100 million to produce.
YouTubeAI is set to transform various industries with its groundbreaking capabilities:
Dynamically generated educational videos: that adapt to students' level and learning style to enhance education, such as using dynamic scenes to illustrate different fencing techniques for a 6-year-old beginner named Sophia.
Personalized video content that goes beyond traditional recommendations to bring you never-before-seen videos tailored specifically for you. With YouTubeAI, you'll receive customized content recommendations for YouTube and Netflix based on your viewing history and behavior.
Automatic caption and description generation for videos to make content more accessible, such as transcribing the audio of a breaking news video for a news media organization called The Daily News. Adaptive and personalized gaming experiences that adapt to user behavior and preferences, such as increasing the difficulty of a racing game as the user gets better, for a gaming company called Game On.
Interactive and engaging marketing experiences that go beyond traditional advertising, such as offering a virtual tour of a Burger King kitchen for users who frequently watch cooking videos. Real-time video analysis for sports analytics such as analyzing live video feeds in real-time to deliver more accurate and comprehensive sports analysis, for a sports analytics company called ScoreMax.