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No Priors: Artificial Intelligence | Technology | Startups

Google DeepMind's Vision for AI, Search and Gemini with Oriol Vinyals from Google DeepMind

Aug 1, 2024
Oriol Vinyals, VP of Research at Google DeepMind and co-lead of the Gemini project, shares his journey through AI, including leading AlphaStar. He delves into how Gemini enhances data processing and integrates with search technologies to transform user experiences. Vinyals discusses breakthroughs in infinite context length for better reasoning in AI models and the importance of balancing general and specialized AI. Lastly, he reflects on AGI timelines and advises future generations on skills for a tech-driven world.
46:08

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • The Gemini project represents a strategic collaboration of teams at Google DeepMind to advance AI technology through innovative large language models.
  • Future AI applications will likely blend chat-based and traditional search systems, enhancing user experience by leveraging strengths from both approaches.

Deep dives

Formation of the Gemini Project

The formation of the Gemini project at Google DeepMind involved merging two major teams focused on large language models (LLMs) from Google Brain and Legacy DeepMind. This collaborative effort aimed to create the first Gemini model, which serves as a core model to improve AI technology globally. Gemini's significance is underscored by its goal to power various applications and systems through advanced modeling techniques, showcasing the ambition to provide leading-edge solutions. Combining these organizations under Google DeepMind reflects a strategic move to consolidate research efforts and maximize their impact on the field of machine learning.

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