ChatGPT's @Mentions: The Beginning of AI Agents?

The hosts Brian, Beth, Andy, and Karl discussed ChatGPT's new mentions feature, which allows users to invoke other custom AI assistants within a ChatGPT conversation. Key Points Discussed: How mentions allow users to create a workflow by chaining together multiple custom AI assistants that each perform specialized tasks. This takes ChatGPT closer to becoming a programming language or an app builder. Potential future abilities enabled by mentions, like calling multiple custom AIs ("experts") into a conversation to provide different perspectives. Or invoking custom AIs through instructions in master AI programs. Using mentions to create custom AI personas for things like customer research. Invoking the persona AIs separately to get unbiased perspectives. Developing a naming convention system to make invoking custom AIs through mentions easy for users. Using mentions to connect ChatGPT workflows to other platforms like Zapier. How custom AIs will likely stay highly personalized even with mentions, as each user will want different combinations. Experts can build custom AI tools for specific industries that leverage mentions, like Sales AI tools. Meta-prompting research showing AIs may soon automatically create needed experts, reducing the need for custom AIs. Ideas for businesses getting started with mentions: create custom AIs for each business task, then test workflows to achieve goals using mentions to invoke them. Summary: The hosts explored exciting possibilities enabled by ChatGPT's new mentions feature. While simple use cases exist, the real potential is developing complex workflows by chaining together specialized custom AIs. This takes ChatGPT closer to an app development platform. The hosts brainstormed future abilities like invoking multiple expert AIs and connecting to other platforms. While custom AIs will remain personalized, experts can leverage mentions to build industry-specific AI tools. Meta-prompting may reduce custom AI needs in the future. Listeners were encouraged to experiment with mentions to create task-based workflows.