The first wave of AI innovation is over. Here’s what comes next

Businesses themselves, not closed-source AI companies, need ownership and control of their proprietary models.

Imagine asking a sophisticated AI model for tips on making the perfect pizza, only to be told to use glue to help the cheese stick. Or watching it fumble through basic arithmetic problems that a middle schooler could solve with ease. These are the limitations and quirks of generative AI and the large language models (LLMs) that underpin them. They’re happening because AI models are running out of good training data, causing them to plateau.