This podcast episode focuses on Sakana AI, a Japanese AI startup founded by former Google AI researchers, Leon Jones and David Hopp. The speaker discusses Sakana AI's innovative approach to building AI models inspired by natural systems, such as schools of fish, using smaller, interconnected models instead of one large model. This approach is presented as potentially more cost-effective, secure (reducing legal risks from data usage), and adaptable than current large language models like ChatGPT. The speaker highlights the company's location in Tokyo as a strategic move to diversify the AI industry beyond Silicon Valley and leverage diverse perspectives. The podcast concludes by suggesting that Sakana AI's success could influence the broader AI industry to adopt similar nature-inspired methodologies.
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