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Aarush Selvan

Lead PM for Gemini Deep Research at Google.

Top 3 podcasts with Aarush Selvan

Ranked by the Snipd community
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783 snips
Feb 18, 2025 • 1h 2min

The Inventors of Deep Research

Aarush Selvan and Mukund Sridhar, key figures in Google's Gemini Deep Research project, share insights on the transformative power of AI in research. They discuss how Gemini serves as a personal research assistant, generating comprehensive reports swiftly. The pair explain the challenges of navigating HTML for AI models and the importance of user interaction in automated planning systems. They also explore the balance between speed and quality in AI outputs, emphasizing collaboration and innovative methodologies in shaping the future of deep research.
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192 snips
Jan 16, 2025 • 1h 8min

What’s Going On With Google Gemini Deep Research? | E2072

Aarush Selvan, Lead PM at Google Gemini Deep Research, dives into the revolutionary advancements in AI, specifically explaining their cutting-edge Deep Research technology that personalizes research experiences. They discuss the challenges of AI reliability, including the 'hallucinations' phenomenon in generated content. Aarush also shares insights on Google's AI business model, the integration of memory in AI systems, and the implications of these innovations for user research. Plus, hear about TikTok's struggles in the current regulatory landscape.
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93 snips
Jun 5, 2025 • 3h 14min

Elon Musk vs. Donald Trump, AI Day | Shaun Maguire, Mark Chen, Sholto Douglas, Jack Whitaker, Aarush Selvan, Michael Mignano, Oliver Cameron, Delian Asparouhov

In this engaging discussion, Shaun Maguire, a Sequoia Capital partner, explores resilience at X and XAI, emphasizing the competitive landscape of foundation models and their energy strategies. Jack Whitaker, an AI expert, dissects OpenAI's dominance and the nuances of model development. Aarush Selvan shares insights on Google’s Gemini Deep Research project, while Oliver Cameron discusses AI-driven storytelling at Odyssey. Mark Chen and Sholto Douglas weigh in on AI research advancements and reinforcement learning challenges, making for a vibrant dialogue on AI's future.

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