Metadata
- Author: Dan Poppy
- Full Title:: The Rapid Experimentation of AI Agents
- Category:: 🗞️Articles
- Document Tags:: Data Team Vision And Mission, Data Team Vision And Mission,
- URL:: https://roundup.getdbt.com/p/the-rapid-experimentation-of-ai-agents
- Finished date:: 2024-06-10
Highlights
One of the tools that I use every day, which is the easiest plug, is a company called Wokelo.ai. They do AI research and due diligence. When I’m interested in a company, I can just type in the company name and click Generate Report. Thirty minutes later, I get a 20-50 page report that includes market insights, recent news, competitors, management profiles, all that kind of stuff. It really is the kind of work you’d ask analysts to do and it’d take them two weeks to do, but it’s in 30 minutes. (View Highlight)
the idea of an agent who is a CEO. When people think about AI right now, you imagine AI at the bottom of the rung. But an example I give is Amazon Mechanical Turk or Upwork. These are technology platforms that help you manage people. And now imagine taking this capability of LLMs and rebuilding something like an Amazon Mechanical Turk. You can imagine how you could build an agent that can manage a college ambassador program and that AI can do that more efficiently than a human, in theory. If you extend that, then why can’t you have a CEO who’s available 24-7, has access to every single piece of data in the company, can take feedback from every single employee and synthesize it, and has bias that’s at least measurable and transparent, so you can adjust it, versus wondering if they’re being unfair. (View Highlight)
would guess, based on my experience building it, that you need a really good core framework, and that has to be built by the engineers. And the whole point of the framework should really be around a good agent should be one that the more you use it, the better it gets. In the future, when you say, who’s building the task list, I don’t think it’s the engineers. It’s the users who are going to ask an AI to do something, and then when an AI doesn’t do it the right way, it’ll give it guidance, and the AI will remember how to do it that way and keep you getting better. The engineers will be building essentially how the brain works itself, but just like how you and I have gotten better at things, the AI is going to get better by working for somebody and getting feedback from that person. (View Highlight)