Part 3/13:
He emphasizes that, contrary to hype, these models cannot learn, reason, or truly create units of work or complex, reliable outputs. For example, while they can generate some code snippets, trustworthiness diminishes as the task's complexity grows. Sheeran laments that multibillion-dollar investments in these models are justified by demand that simply doesn’t materialize, because the underlying technology cannot deliver what is promised.