DeepSeek just shook up the AI world. They’ve released an open-source AI model that—on paper—rivals the best from OpenAI and Google. But here’s the kicker: they claim to have trained it for just $5.6 million—a fraction of what U.S. labs spend. Even crazier, inference costs are so low that some developers are running 200,000 API calls for just $50.

If this is true, it’s not just a big deal—it’s a threat to the entire AI industry as we know it. In today’s episode, I break it all down in plain English:

✔️ What DeepSeek actually did (and how they made AI faster, smaller, and cheaper)

✔️ Why it’s causing panic in Silicon Valley

✔️ The real impact on AI companies, Nvidia, and the open-source movement

✔️ Is this a true paradigm shift or just another AI hype cycle?

By the end of this episode, you’ll have a crystal-clear understanding of what’s really going on—without the jargon, the hype, or the noise.

Episode Breakdown

(01:00) – What is DeepSeek, and why is everyone talking about it?

(02:20) – The four major breakthroughs that make DeepSeek different

(07:45) – The geopolitical and business implications—who wins, who loses?

(12:45) – My take: Is the market reaction justified, or is this overblown?Links & Resources

📖 Read the blog version of this episode on the Mindset AI blog (with all relevant links and resources). Read now.

If you found this episode insightful, don’t forget to rate, follow, and share! It helps more people stay ahead of the latest AI breakthroughs. 🚀

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