This podcast episode discusses Sakana AI, a Japanese AI startup founded by former Google AI researchers, focusing on a nature-inspired approach to AI model development. The speaker explains Sakana AI's concept of using many smaller, interconnected models instead of one large model, drawing parallels to a school of fish or flock of birds, and highlighting potential cost and legal advantages. The speaker also notes that this approach is similar to how ChatGPT might be internally structured, and that Sakana AI's location in Tokyo offers a unique perspective and diversity in the AI field. The episode concludes by suggesting that Sakana AI's approach could disrupt the current AI landscape by offering a more efficient, sustainable, and legally safer alternative. The speaker mentions that ChatGPT's internal structure may be segmented into 16 different "professional" models.
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