AI Confidential
AI Confidential
Podcast Description
AI Confidential is a groundbreaking new podcast uncovering the impact of confidential AI on business innovation. Featuring leaders from Microsoft, Accenture, NVIDIA, Google Cloud, AMD, and more, AI Confidential offers valuable, firsthand perspectives from industry pioneers on how Confidential AI is redefining the path forward for enterprises across all sectors.
Podcast Insights
Content Themes
The podcast covers crucial topics surrounding the impact of confidential AI on business innovation, including episodes like 'Making AI Work in the Real World' and 'Building Trust in AI', focusing on areas like data privacy, ethical AI practices, and privacy-preserving technologies.
AI Confidential is a podcast about AI and how to benefit from it responsibly. We speak with leaders from Microsoft, Accenture, NVIDIA, Google Cloud — and more — about how confidential AI is reshaping business.
From cloud computing to infrastructure-as-a-service, Reuven Cohen (AKA rUv) has been on the cutting edge of every major technology supercycle — and he’s now one of the most influential people in the agentic AI space.
With the help of agents, rUv produced 10 million lines of usable code last year. That’s 33,000 years of output from one human. rUv’s approach proves one of two things: he’s either an outlier or a leading indicator of what’s to come.
In this episode, we talk to rUv about:
- His approach to training autonomous agents
- The rapid advancements in agentic code development
- Why LLMs are vulnerable to data poisoning
- Why Python is bad for agentic development
Disclaimer
This podcast’s information is provided for general reference and was obtained from publicly accessible sources. The Podcast Collaborative neither produces nor verifies the content, accuracy, or suitability of this podcast. Views and opinions belong solely to the podcast creators and guests.
For a complete disclaimer, please see our Full Disclaimer on the archive page. The Podcast Collaborative bears no responsibility for the podcast’s themes, language, or overall content. Listener discretion is advised. Read our Terms of Use and Privacy Policy for more details.