AutoGPT

“Bro I'm gonna be honest, it sounds like you are just bad at making AI agents. I deployed an AI voice agent in a hospital recently that triages patient status measurably more accurately than the staff does. It took a shitload of fine tuning and a really excellent system prompt that educated it on how to do patient triage, but it works great. Are you a software engineer by trade or are you just winging it?”

“I have been using(or trying to use) Auto-GPT for the past 2 months and to be honest i have yet to receive 1 conclusive answer. It either keeps going around itself or runs into failures. I downloaded the stable version and tried time and again, i end up going into a loop of nonsense and newer tasks that it creates for itself. I managed to extract some useful information when i set it up in manual mode. But even then, when i need it to extract the information, it usually extracts and i can't find ”

“Everyone’s building “AI agents” now. AutoGPT, BabyAGI, CrewAI, you name it. Hype is everywhere. But here’s what I learned the hard way after spending 8 months building real-world AI agents for actual workflows: LLMs hallucinate more than they help unless the task is narrow, well-bounded, and high-context. Chaining tasks sounds great until you realize agents get stuck in loops or miss edge cases. Tool integration ≠ intelligence. Just because your agent has access to Google Search doesn’t mean it ”

“What I like most about AutoGPT is how it can autonomously break down complex goals into smaller, manageable tasks and then carry them out with minimal human intervention. I also appreciate its flexibility: the support for multiple tools and APIs, along with its open-source ecosystem, makes it a strong platform for experimenting with AI agents and building workflow automation. AutoGPT can be unreliable at times on long, multi-step tasks, and its performance often varies depending on the model you”

“I have been using(or trying to use) Auto-GPT for the past 2 months and to be honest i have yet to receive 1 conclusive answer. It either keeps going around itself or runs into failures. I downloaded the stable version and tried time and again, i end up going into a loop of nonsense and newer tasks that it creates for itself. I managed to extract some useful information when i set it up in manual mode. But even then, when i need it to extract the information, it usually extracts and i can't find ”

“Everyone’s building “AI agents” now. AutoGPT, BabyAGI, CrewAI, you name it. Hype is everywhere. But here’s what I learned the hard way after spending 8 months building real-world AI agents for actual workflows: LLMs hallucinate more than they help unless the task is narrow, well-bounded, and high-context. Chaining tasks sounds great until you realize agents get stuck in loops or miss edge cases. Tool integration ≠ intelligence. Just because your agent has access to Google Search doesn’t mean it ”

“There really was this gold rush feeling, when AutoGPT came out, that made it seem like anyone could spin straw into gold. And I think from being on this subreddit for a couple weeks, AutoGPT doesn’t really work easily, or only a small number of people have figured out a way. The bigger takeaway is as LLMs continue to evolve, it might reach a point where AutoGPT produces the results we want, but we’re not there yet. I think it won’t be long either”

“I don’t have access to GPT-4 yet, so I’m still fairly limited and haven’t produced anything meaningful, but honestly I’ve learned so much just from watching how it talks to itself. I’ve saved a few really cool prompts that it’s generated and have started to identify when it runs into problems and how to better define objectives. Probably a limitation somewhat inherent in GPT-3.5 but it can easily lose the forest through the trees and occasionally has a hard time knowing when the current objectiv”