MoE, Mavericks & Missteps: What You’re Missing About the AI Race
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MoE, Mavericks & Missteps: What You’re Missing About the AI Race
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About this listen
In this episode, we unpack the evolving landscape of generative AI — from the delay of GPT-5 and the release of OpenAI’s O3 and O4 Mini models to the explosive rise of Chinese innovations like DeepSeek and Mistral. We dig into why calling GPT-5 the 'holy grail' of AI is a flawed narrative, and how the global AI race is being reshaped by open-weight models, MoE (Mixture of Experts) architectures, and aggressive Chinese strategies.
We also explore the growing buzz around 'white coding' — where non-programmers use AI to generate code — and the infrastructure shocks that follow. Why are API bills skyrocketing? What happens when blindly deployed AI code meets real-world production? From misleading claims to misunderstood models, we break it all down.
Tune in as we question hype, bust myths, and offer a grounded take on where AI is really headed.