EP1 - DeepSeek’s AI Breakthrough: Hype or Game-Changer? A No-Nonsense Breakdown

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.

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