

Gemini 2.5 with Logan Kilpatrick
15 snips Jun 19, 2025
Logan Kilpatrick, Group Product Manager at Google DeepMind, dives into the groundbreaking developments of the Gemini 2.5 model family. He shares insights on the innovative text-to-audio features that could transform content creation, especially in podcasting. The conversation also explores advancements in AI music generation and the evolution of Gemini 2.5 Pro, highlighting the importance of model reasoning and effective tooling. Finally, Logan addresses common misconceptions while teasing exciting future possibilities for AI in development workflows.
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LLMs Mimic Human Guessing
- Working with large language models (LLMs) reveals they operate by guessing, much like human intuition during problem-solving.
- This self-realization highlights the parallel between human guesswork and AI's probabilistic predictions.
Gemini Flash Text-to-Audio Capabilities
- Gemini 2.5 includes a Flash text-to-audio model offering natural-sounding audio generation from transcripts.
- This API-based experience allows developers to dynamically create podcast-like content currently through Google AI Studio.
Gemini's Music Model Lyria
- Gemini includes Lyria, a music model powering pre-built starter apps for musical composition and generation.
- These models integrate with other generative media tools like text-to-speech and image generation under Gemini's umbrella.