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"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

Gemini's Next Frontier: 2.0 Flash, Flash Lite Strategy & Real-Time APIs with Logan K from Google Deepmind

Feb 6, 2025
In this discussion, Logan Kilpatrick, a Product Manager at Google DeepMind, shares insights on the Gemini API and its role in AI development. He reveals details about Gemini 2.0 models and their practical applications for developers. Logan explores the exciting potential of text-to-app creation for non-developers and the technological advancements in long context reasoning. Additionally, he addresses the balance of cost and quality in deploying AI models and the evolving landscape of AI startups, emphasizing the transformative impacts across industries.
59:45

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • The release of Gemini 2.0 Flash introduces competitive pricing and significant enhancements aimed at supporting developers in application innovation.
  • Text-to-app creation is revolutionized by Gemini API, enabling even non-coders to develop functional applications through intuitive platforms.

Deep dives

Launch of Gemini 2.0 Flash

The updated Gemini 2.0 Flash has been launched for developers, showcasing significant enhancements since its experimental version debut in December. This model's pricing has been set at $0.10 per million input tokens and $0.40 for output tokens, making it highly competitive in the market. The advancements made are touted as part of a broader commitment to deliver the best coding model available, with expectations that it will support developers in building innovative applications. Furthermore, the integration of research and production functions within DeepMind aims to streamline the development process, enabling rapid advancement in model capabilities.

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