Published on January 17, 2024, 6:39 am
Sakana AI, a Tokyo-based startup founded by former Google AI experts Llion Jones and David Ha, has successfully raised $30 million in seed funding. The recent funding round was led by Lux Capital and Khosla Ventures, with additional participation from NTT Group, KDDI CVC, Sony Group, and various other investors.
Sakana AI’s primary objective is to develop generative AI models that are inspired by nature. These models will have the capability to produce text, images, code, and multimedia content. The founders of Sakana AI, Jones and Ha, bring with them a wealth of experience in the field of Artificial Intelligence. Jones played a significant role in the development of the first Transformer architecture while Ha served as the former head of Google Research in Japan.
The aim behind Sakana AI’s approach is to create AI systems that possess sensitivity and adaptability to changes in their environment. They envision these systems to mirror natural systems with their collective intelligence. By achieving this level of sophistication, Sakana AI seeks to revolutionize how we interact with AI technologies.
One notable aspect highlighted by Vinod Khosla, Founder of Khosla Ventures, is the importance for sovereign nations to have their native foundational models. This need arises out of both national security concerns and the desire for better interactions with regional dialects, cultures, and values. Sakana AI understands this strategic requirement and aims to leverage regional talent to harness its full potential.
With this injection of funding and the expertise brought forth by its co-founders, Sakana AI stands at an exciting juncture where it can drive significant advancements in generative AI technology. The company’s vision aligns with current demands for more sophisticated AI models that are tailored not only for global use but also take into account local contexts.
As Sakana AI continues on its path towards innovation in generative AI technology, it will be interesting to witness how they reshape the landscape of AI systems and contribute to the advancement of artificial intelligence as a whole.