AutoGPT

“There was a project called AutoGPT, which basically was a GitHub repository. Some couple of developers got together, then almost 400 developers contributed to it. But the goal was like, can you create AI to chain tasks, do a lot of workflows together? So take …”

“So if you look at the first Implementation of like agent frameworks. You look at you know, baby AJI and auto GBT. I think it was an auto gen. That's the Microsoft one. They were way ahead of their time because they assumed this level of reasoning and execution…”

“The AutoGPD approach, obviously, is extremely exciting, but we know that the agentic capability of models are not quite there yet. It just gets lost.”

“If you provide a very high level Kind of an auto GPT-esque level in the instructions and provide 16 different tools to your model. Yes, we're seeing the models in that state making mistakes.”

“Once you have those working really well, you can create meta agents that use the agents as actions, and all of a sudden you can kind of have a hierarchy of responsibility that will probably get you almost to the point of the auto GPT value.”

“And there's an auto GPT thing that is going to change the world, but doesn't actually work.”

“Plugins were rendered useless, and somewhat impotent two weeks later by auto GPTs.”

“It's been out for about two weeks. It's already got 45,000 stars on GitHub, which is a huge number.”

“This is really where it's all headed is that you can just tell the AI to do something for you pretty complicated. And it will be able to do it. It will be able to create its own task list and get the job done in quite complicated jobs.”

“If you look at any bloated organization that's building enterprise class software, you can string together a bunch of agents that will auto construct everything you need to build a much, much cheaper product that then you can deploy for other agents to consume…”