Salesforce builds many models and has a phenomenal AI team, but we also leverage other models and regularly invest in various model companies.

I believe we are nearing the upper limits of large language models, as the future will likely involve many smaller, specialized models rather than a few large ones. We're at the upper end of large language models, and they're rapidly becoming a commodity as they mature.

I pivoted Salesforce's entire focus to Agentforce based on customer feedback, demonstrating its significance for the company. I constantly ask myself if I'm doing everything necessary to make Agentforce successful.

The new technology of large language models is creating unprecedented opportunities for startups, enabling tasks that previously required extensive research teams to be accomplished more easily.

Developers are increasingly finding that a significant portion of their code is being generated by large language models, which raises questions about the future impact of these models on society.

I focus on Agentforce to show customers the immense value it can provide, which is my top priority right now.

Scale AI is evolving from a data labeling company to a leader in agent-driven technology, which is growing rapidly and is seen as an infinite market.

Large language models should be referred to as large event models because they are not only effective in language but also applicable in pharmaceuticals and various other fields.

The competitive landscape for AI is rapidly evolving, similar to the early days of cloud computing, with new companies emerging to address specific needs, such as cybersecurity for large language models.