
Marina Danilevsky
Senior research scientist, specializing in AI and machine learning. Provides insights on AI trends and their impact.
Top 3 podcasts with Marina Danilevsky
Ranked by the Snipd community

11 snips
May 23, 2025 • 42min
Google I/O, NLWeb, llm-d and is Stack Overflow dead?
Join Marina Danilevsky, a senior research scientist in AI, Abraham Daniels, a technical product manager, and Gabe Goodhart, chief architect in open innovation as they unpack the latest from Google I/O 2025. They delve into whether Google’s AI Ultra subscription is worth it and discuss the implications of RedHat's new llm-d for Kubernetes. They also tackle Microsoft’s NLWeb and the transforming nature of search. Finally, the trio examines Stack Overflow's decline, pondering if AI is pushing it towards obsolescence.

8 snips
Apr 25, 2025 • 38min
OpenAI social network, Anthropic’s reasoning study and humanoid half-marathon
Join Gabe Goodhart, Chief Architect at AI Open Innovation, Kate Soule, Director at Granite, and Marina Danilevsky, Senior Research Scientist, as they dive into the fascinating intersection of AI and social media. They discuss the rumors of OpenAI's potential social network and ponder its implications. The guests also explore Anthropic's study on AI reasoning, highlighting its complexities. Finally, they share insights on a humanoid robot half-marathon, questioning whether robots might be the next race contenders in our future.

Feb 14, 2025 • 40min
Episode 42: Paris AI Summit, Altman's "Three Observations," and Anthropic's Economic Index
Anastasia Stasenko, CEO of pleias and open-source AI advocate, joins AI experts Marina Danilevsky and Chris Hay to dive deep into the Paris AI Summit highlights. They discuss the global advancements in AI safety and a remarkable €109 billion investment to boost European infrastructure. The trio explores the implications of an intriguing new test-time scaling technique for AI models, as well as insights from Sam Altman's latest observations. They also dissect Anthropic's Economic Index, revealing the actual scope of AI adoption across industries.