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In this episode of Generative AI 101, host Emily Laird unpacks Google’s multimodal power move, where reasoning, music, and image generation collide like a Christopher Nolan finale with a Silicon Valley budget. Gemini 3.1 Pro flexes real logic, Lyria 3 drops polished tracks from a single prompt, and Pomelli turns basic product photos into glossy campaign gold. This is not a chatbot party trick, it is a creative agency living in a server rack. Emily breaks down what that means for your work, your leverage, and the 22.9 percent margin of error still lurking in the code.
By Emily Laird4.6
2020 ratings
In this episode of Generative AI 101, host Emily Laird unpacks Google’s multimodal power move, where reasoning, music, and image generation collide like a Christopher Nolan finale with a Silicon Valley budget. Gemini 3.1 Pro flexes real logic, Lyria 3 drops polished tracks from a single prompt, and Pomelli turns basic product photos into glossy campaign gold. This is not a chatbot party trick, it is a creative agency living in a server rack. Emily breaks down what that means for your work, your leverage, and the 22.9 percent margin of error still lurking in the code.

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