In this episode, we dive deep into OpenAI’s latest AI lineup: the o3, o4 mini, and o4 mini high reasoning models. We break down how o3’s "private chain of thought" boosts problem-solving in scientific, coding, and visual analysis tasks, and why o4 mini is quickly becoming a favorite for fast, cost-effective AI solutions. We also explore the trade-offs—especially rising hallucination rates—and how OpenAI is tackling these with better tools and upcoming models like o3 pro. With Google’s Gemini 2.5 Pro and DeepSeek R1 raising the stakes, OpenAI’s newest releases reveal both innovation and growing pains in the race for smarter, more efficient AI.

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This podcast is an independent production and is not affiliated with, endorsed by, or sponsored by OpenAI, Microsoft, Google, DeepSeek, or any other entities mentioned unless explicitly stated. The content is for informational and entertainment purposes only and does not constitute professional, financial, or technical advice.