The Open Source AI Paradox: A New Normal or a Temporary Reprieve? The recent surge in popularity of open source AI models has led some to speculate about the fate of traditional frontier labs, such as Anthropic.
However, a new theory posits that these two phases are not competitors but complementary stages of development.
According to Decagon CEO Jesse Zhang, expensive state of the art models are used to prove out high value use cases, which can then be passed along to cheaper open source alternatives as they mature.