Transformer Paper Author Leaves Google to Start "Sakana" a Nature-Inspired AI
Aug 20, 2023
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The key author behind the groundbreaking Transformer paper leaves Google to start "Sakana," an AI venture focused on nature-inspired algorithms. They explore building interconnected AI models, the appeal of Tokyo, and the need for diversity in the AI ecosystem.
Sakhana AI aims to create interconnected AI models that synchronize seamlessly, drawing inspiration from the intelligence exhibited by nature, potentially cutting down on data consumption and offering a more diverse and global perspective on AI development.
Sakhana AI's leaner approach to building AI models focuses on interconnected, smaller models that work together to tackle challenges, offering cost-effective solutions and improved performance across various domains.
Deep dives
Sakhana AI: Building Nature-Inspired AI Models
Sakhana AI, a startup founded by former Google AI luminaries Leon Jones and David Ha, is pioneering a revolutionary approach to AI models. They aim to create AI models that synchronize seamlessly, much like a school of fish, drawing inspiration from the intelligence exhibited by nature. By creating interconnected models that work in tandem, they seek to address the exorbitant costs and security threats posed by current AI models. Their approach promises to be more sustainable, secure, and adaptable, potentially cutting down on data consumption and offering a more diverse and global perspective on AI development. Additionally, Sakhana AI's decision to establish the company in Tokyo showcases the city's potential for molding AI solutions for non-Western contexts.
Leaner Techniques for AI Model Construction
Instead of expanding transformer models that consume massive amounts of resources, Jones and Ha are focused on architecting innovative, leaner techniques. Their approach involves building smaller interconnected models that work together to tackle challenges, resembling a flock of birds or a school of fish. This methodology offers the potential for more sustainable and secure models, as well as the ability to easily remove or retrain specific models in case of legal issues. By taking a leaner approach, Sakhana AI aims to create AI models that are cost-effective and offer improved performance across various domains.
Reigniting the Spirit of Innovation in AI
Sakhana AI identifies a concerning trend in the AI industry, where commercial interests may be stifling genuine innovation. Their ethos is to reignite the spirit of unbridled exploration by focusing on foundational research and attracting top talent with a passion for innovation. By challenging the overpowering commercial drive, Sakhana AI aims to introduce foundational principles that shape the AI landscape. While their approach has yet to be fully realized, if successful, it could inspire other companies to adopt a nature-based approach to AI and spark a shift in the industry.
In this riveting episode, we delve into the journey of the key author behind the groundbreaking Transformer paper as they part ways with Google to found "Sakana," an innovative venture focused on harnessing nature-inspired algorithms for AI. Discover the insights and inspirations driving the next frontier of artificial intelligence and the profound implications of looking to nature for computational solutions.