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Martin Keen

Master Inventor and technologist who offers product-focused perspectives and hands-on reactions to demos, gadgets, and agentic AI capabilities.

Top 3 podcasts with Martin Keen

Ranked by the Snipd community
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44 snips
Oct 24, 2025 • 45min

ChatGPT Atlas, OpenAI’s new web browser

Join master inventor Martin Keen, IBM Fellow Aaron Baughman, and senior product manager Abraham Daniels as they dive into ChatGPT Atlas, OpenAI’s innovative web browser aimed at reshaping search. They explore practical use cases, discuss whether AI agents might replace traditional browsers, and weigh OpenAI's long-term ambitions. The conversation also touches on Andrej Karpathy's critical take on agent efficacy and intriguing research on LLMs exhibiting 'brain rot'. Each guest brings unique insights, making for an engaging and thought-provoking discussion.
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10 snips
Dec 19, 2025 • 39min

Disney's AI bet: USD 1B OpenAI content deal explained

Kush Varshney, an AI expert from IBM, joins Martin Keen, a Master Inventor, and Marina Danilevsky, a Senior Research Scientist, to discuss Disney's bold $1 billion licensing deal with OpenAI. They delve into how this partnership aims to control fan-generated content and enhance Disney Plus traffic. The panel also evaluates the implications for IP owners and debates the evolving dynamics of authorship. Additionally, they analyze the significance of Time Magazine's recognition of AI architects and unpack NVIDIA's new model releases.
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5 snips
Jan 9, 2026 • 43min

CES 2026 AI highlights: NVIDIA Rubin & wild gadgets

Chris Hay, a distinguished engineer specializing in AI architectures, Kaoutar El Maghraoui, a principal research scientist in AI hardware-software co-design, and Martin Keen, a master inventor, delve into cutting-edge announcements from CES 2026. They discuss NVIDIA's Rubin chip, which promises 5x performance and 10x inference savings, and explore the stunning gadgetry showcased. The conversation turns to Meta's bold $2B acquisition of Manus AI and its implications for enterprise productivity. They also dissect emerging AI training methodologies and the public's mixed feelings about AI governance.

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