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 smaller, interconnected models similar to a school of fish, contrasting it with the large, centralized models of companies like OpenAI. The speaker highlights the potential cost savings and reduced legal risks associated with this approach, citing ChatGPT's segmented model as a possible precursor. The episode also notes Sakana AI's decision to base its operations in Tokyo, promoting geographic diversity in the AI industry. The speaker concludes by suggesting that Sakana AI's innovative approach could significantly disrupt the AI landscape.
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