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Nathalie Baracaldo

AI researcher focusing on the security and ethical implications of AI systems.

Top 3 podcasts with Nathalie Baracaldo

Ranked by the Snipd community
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15 snips
Mar 21, 2025 • 39min

NVIDIA GTC, Baidu reasoning models, and Gemini AI image generation

In this discussion, AI technical solutions architect Vyoma Gajjar sheds light on the latest advancements from NVIDIA GTC, particularly the groundbreaking Groot N1 humanoid robotics model. Principal research scientist Kaoutar El Maghraoui explores Baidu's new AI reasoning models and their controversial closed-source nature. AI researcher Nathalie Baracaldo addresses the reliability of Chain-of-Thought reasoning in AI, highlighting potential biases. The conversation also touches on Google’s Gemini innovations in AI image generation, exploring competition in the evolving tech landscape.
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Feb 7, 2025 • 38min

Episode 41: OpenAI deep research, o3-mini, AI Action Summit, and Anthropic’s Constitutional Classifiers

Joining the conversation are Marina Danilevsky, a senior research scientist focused on AI ethics; Chris Hay, a distinguished engineer and CTO specializing in AI product development; and Nathalie Baracaldo, an expert in AI safety and security. They explore OpenAI’s recent deep research and the o3-mini model, discussing its capabilities and limitations. Insights on the upcoming AI Action Summit highlight its significance in navigating AI governance and ethical implications. The trio also dissects Anthropic’s Constitutional Classifiers and Microsoft’s new unit studying AI's impact on society.
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Sep 20, 2024 • 48min

Episode 21: OpenAI o1 preview, Agentforce, AI in fantasy football, and machine unlearning

Chris Hay, an AI enthusiast, dives into the buzz surrounding OpenAI's o1 preview. Nathalie Baracaldo introduces Agentforce and discusses the rise of AI agents in various applications. Meanwhile, Aaron Baughman reveals how AI is revolutionizing fantasy football with advanced analytics. The conversation also tackles the intriguing concept of machine unlearning—removing flawed data from models—detailing its significance in refining AI reliability. Tune in for insights that blend tech trends with sports innovation!