In this extended episode of the Artificially Unintelligent Podcast, William and Nicolay delve into the exciting announcement of Google's new AI model, Gemini. They discuss Gemini's positioning as Google's response to OpenAI's GPT models, touching on its architecture, training data, and performance. The hosts highlight Gemini's unique feature of being natively multimodal, trained with interleaved data across different modalities like text, images, and audio. They speculate on the potential datasets used for training, including YouTube's vast content. The conversation shifts to Google DeepMind's probable contribution to Gemini, focusing on data mixture and training curriculum. William and Nicolay critically analyze Gemini's performance benchmarks, comparing them with existing models like GPT-4. They also ponder over Gemini's integration into Google's vast array of products and its potential impact on the search engine market. The episode provides a comprehensive look at Google's latest AI endeavor, making it a must-listen for AI enthusiasts and professionals keen to understand the evolving landscape of AI models.
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