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In this episode, Andrew Mayne, Brian Brushwood, and Justin Robert Young tackle the rapid advancements in AI, focusing on DeepSeek’s R1 model and its cost-effective training methods. They discuss the skepticism and excitement surrounding DeepSeek’s claims and the broader implications for AI development and compute needs. The conversation shifts to OpenAI’s release of the O3 model, highlighting its reasoning capabilities and potential to accelerate the path to AGI. The trio also explores the role of open source in AI innovation, the significance of AI in mainstream discussions, and the future of AI-driven content creation and problem-solving.
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Download url: https://weirdthingspodcast.com/uploads/20250201212530_250131_-_weird_things_podcast.mp3
[podcast]https://weirdthingspodcast.com/uploads/20250201212530_250131_-_weird_things_podcast.mp3
By Andrew Mayne4.5
329329 ratings
In this episode, Andrew Mayne, Brian Brushwood, and Justin Robert Young tackle the rapid advancements in AI, focusing on DeepSeek’s R1 model and its cost-effective training methods. They discuss the skepticism and excitement surrounding DeepSeek’s claims and the broader implications for AI development and compute needs. The conversation shifts to OpenAI’s release of the O3 model, highlighting its reasoning capabilities and potential to accelerate the path to AGI. The trio also explores the role of open source in AI innovation, the significance of AI in mainstream discussions, and the future of AI-driven content creation and problem-solving.
Picks:
Andrew: Severance
Brian: Severance
Support Weird Things on Patreon
Subscribe to the Weird Things podcast on iTunes Podcasts
Podcast RSS feed
Download url: https://weirdthingspodcast.com/uploads/20250201212530_250131_-_weird_things_podcast.mp3
[podcast]https://weirdthingspodcast.com/uploads/20250201212530_250131_-_weird_things_podcast.mp3

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