The State of AI with Rowan Cheung Logan Kilpatrick on Google’s new Gemini Models, AI Agents, AGI, and more
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Sep 24, 2024 
Logan Kilpatrick, Product Lead for Google AI Studio, dives into Google's latest Gemini 1.5 models, showcasing their state-of-the-art performance. He discusses the power of AI agents in enhancing user experiences and how these models can support both developers and non-technical users. The conversation explores the challenges of translating complex AI capabilities into practical applications, as well as Gemini's innovative audio features for education. Kilpatrick emphasizes the importance of accessibility in AI, empowering future innovators to harness these tools.
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Gemini Model Improvements
- Gemini models show a linear, sometimes exponential, improvement in performance.
- This progress is evident in benchmarks and developer feedback, addressing issues like models avoiding questions.
Math and Reasoning Improvements
- New Gemini models show improved math capabilities, but practical use cases involve code generation.
- The step-by-step reasoning process used for math problems generalizes to other domains.
From Demo to Production
- AI's challenge lies in transitioning from impressive demos to robust, reliable products.
- The progress in math and reasoning is key to enabling wider adoption and real-world applications.