5 Ways AutoGPT Is Already Being Used

what's going on guys welcome back to the AI breakdown uh I'm actually on the road right now as you can probably tell it's a different background than normal but there's so much going on that I wanted to do a show today anyways so what we're going to do today is go a little bit deeper on auto GPT this is a theme we started to talk about in yesterday's video but I want to go as I said a little bit deeper and talk about in more depth some of the emergent use cases that we're already starting to see so for those of you who are just catching up now Auto GPT what makes it different from the other GPT you may have heard of chat GPT well one it can conduct internet searches two it has short-term and long-term memory management and three it can generate other AI agents to accomplish tasks so basically Auto GPT produces AI agents capable of figuring out how to solve particular problems a couple implementations of this arose about a week ago that's how fresh this is baby AGI is quote an open source AI platform inspired by various cognitive development that aims to train and evaluate various AI agents in a simulated environment the platform focuses on reinforcement learning language learning and cognitive development allowing AI agents to learn and perform complex tasks maybe AGI operates in an infinite Loop constantly pulling tasks from a tax task list executing them enriching the results and creating new tasks based on based on the objective and the results of the previous task the workflow consists of four main steps tax execution result enrichment task creation and tax task prioritization what you're seeing here even in just this description is that we're talking about actual AI agents who figure out how to solve the problems that you assign to them this is different obviously than sort of the human operated chat GPT ask it a question get an answer and maybe you can weave together different answers to produce something but this is really really doing that weaving together all by itself now another implementation of something very similar is auto GPT that's obviously the one that's lending its name to all of this given that it was the one trending on Twitter and seems to be the term that people are latching onto Auto GPT from sigravitas who was the developer who put it who first put the repo Out Auto GPT is an experimental open source application application showcasing the capabilities of the gpt4 language model the program driven by gpt4 chains together llm thoughts quote unquote to autonomously achieve whatever goal you set it pushes the boundaries of what's possible with AI obviously the key part here is this idea of anonymously achieving whatever goal you set so that's the background like I said these things are very very young but that hasn't stopped developers from diving right in to try to explore them so let's look at a few of the use cases that people are excited about and we'll start with the starting a business use case so this comes from Graham Fleming he writes I have an auto GPT from Sig gravitas currently developing an e-commerce business it has decided to browse the internet for business ideas saving its findings to files to reference later on so I'm going to pause this little GIF video right here uh well let's go right there try to pause it there we go so e-commerce GPT thoughts as an e-commerce AI one of our primary goals is to increase our net worth in order to do this effectively I need to leverage my ability to browse websites read and write files and and search the internet for information I should also consider delegating the certain tasks to GPI agents to further optimize my time and resources reasoning my goal is to increase net worth which requires me to make smart decisions and act efficiently I need to leverage different resources available to me to achieve this it then shows its plan browse websites for uh for e-commerce and business ideas that can that it can increase net worth so basically this agent is going out and figuring out what business idea to pursue save important findings to files for later reference utilize GPI agents to for delegated tasks continuously review and analyze my actions to identify areas of comment of of common and refine my Approach evaluate and improve efficiency of current processes now of course course this is basically exactly what a human who had decided to go start a business to make money would do they would browse websites to look for ideas they would save their findings to files to reference later they would look into what resources were available to them to delegate certain parts of the tasks very very human-like which I think is why people are so captivated by this new implementation of the technology so that's one example of Auto GPT next up building apps and fixing coding problems specifically so this one comes from bar and Maya he writes Auto GPT was trying to create an app for me recognized I don't have node Google had to install node found a stack Overflow article with link downloaded it extracted it and then spawned the server for me my contribution I watched so there's actually a couple things going on here first Auto GPT has been assigned to create an app but the person who assigned it as such or assigned it to do this didn't have the proper infrastructure right they didn't have node so what a chat or Auto GPT excuse me do well it figured out how to install node it found an article that had the link it downloaded node extracted it and then spawned the server as it needed so it was not going to let in other words a problem such as not having node stop it from completing its task it figured out how to solve the intermediate problem to get to the long-term objective next up on our list of implementations and again this is less than a week old guys the do anything machine a to-do list that does itself this one is capturing a lot of people's attention I think for kind of obvious reasons so Garrett Scott writes over the weekend I finished the to-do list that does itself every time you add a task a gpt4 agent is spawned to complete it it already has the context it needs on you and your company and has access to your apps it's called the do anything machine so again let's look at the examples that they put here task one find the best person at Walmart for us to sell to add them to our notion CRM and send an Outreach email number two create a memo about our first in product in notion and email it to Ryan Cooter and ask him if he has anyone in mind who would be a good fit to run it number three make a web app that sends mass email and slack Chris a tutorial on how to host it and launch it the point of this is that this is the same exact type of to-do list that you might write right these are things these are tasks that the person or the company involved wants accomplished but instead of actually doing them you are effectively your to-do list is the prompt for the AI agent to go figure out how to do it itself hugely powerful uh and in fact Garrett says that they've had to turn off signups current users will be enough to find bugs and improve ux then we'll roll out next week weekish and then later by popular demand they added a wait list so that is the do everything machine next up we have the content creator this is one that I mentioned in yesterday's video as well but I'll go a little bit more in depth today so this idea is to use a GPT agent an auto GPT to change the way that content gets created for the internet so in this case the author JB here is asking the GPT agent to read about recent events and prepare a podcast outline he uses it all in the podcast with shmatia Jason uh Jason calacanus and David Saxon among others and it found it did five searches and 15 web browsers it found five topics podcast on recent news it made accurate references and it wrote a cold open so this is sort of the the whole process of building a podcast right interestingly the wit what it outputted was a current task a draft output suggestion for next next tasks excuse me a task list and reasoning this is a potentially game-changing approach to creating content obviously one of the first use cases that people have flocked to for llms and it seems likely to be an early use case for this type of autonomous agent as well and Fifth and finally let's talk about agent GP PT which is effectively a way to more easily spin up an auto GPT for yourself awesome here writes introducing agent gbt an attempted Auto gbt directly in the browser now what's worth noting here is that auto GPT is basically just used by developers so far because you have to install a bunch of different uh tools and kits to actually make it work you have to have access to a few different apis agent gpts attempts to Short Circuit that right so you can see here in the little GIF explanation or example rather demo that the name of the uh of the agent GPT that they're working on is hustle GPT its goal is to create a new startup with only 100 of funding and then it goes off and does the task so this is a little bit different than a single use case this is an attempt to improve the infrastructure for lots of different people to go figure out their own use cases this is the type of thing that is happening left and right with these new tools where they come out and someone figures out what's needed for them to be implemented in a way that is much more user friendly and potentially less Technical and and that comes out next really really fascinating stuff going on here in this space now a couple more that are theoretical right they haven't come to the four yet but are someone imagining uh what what they what these types of Auto gbt could do Greg Eisenberg writes about three different examples one he says a customer service rep Auto GPT could understand customer inquiries Provide support and even suggest up sales it would mean an assistant that was available 24 7 speaks in every language etc etc number two social media manager can be used to manage social media accounts for business based on goals of retweets likes and even sales number three financial advisor Auto GPT could make it a breeze to invest your money saying it can analyze financial data and provide recommendations on how to stay ahead of the curve now these are obviously a little bit kind of farther out examples I think a lot of the first tests that we're seeing here are self-contained but it shows just how fast people are thinking about what these sort of Agents could do now one really interesting last piece of this story for today is folks are already comparing these different implementations so Lauren Marie here writes today we tried Auto GPT agent GPT and baby GPI thoughts and insights below they think that auto gbt is the best overall it's both difficult to set up like this like we were just talking about it needs basic programming language there isn't really a user interface but it seems close as they say to accomplishing running autonomous agents for complex tasks she says that communicates with itself she says that it runs anal analysis on its own errors to diagnose issues which is super cool it critiques its own strategies and analyzes potential challenges and pitfalls seems well equipped with logic to execute on the goals you give it so basically there is a higher burden and a higher barrier but once you get through that it does a better job of actually figuring out how to accomplish the task that you've set for it now they say Lauren Marie here says that the next best at completing tasks is baby AGI it gives a detailed task list to reach goals it directs you to where we need to go but it but she says that they haven't been able to get it to execute but perhaps that's on their end they're maybe not prompting it correctly it says that uh Lauren says that it seems to have sound insights but it is this implementation problem how to get it to actually act on the task list it creates the third agent GPT perhaps not unexpectedly given what it's trying to do based on what we were discussed discussing it has the best user interface it's the best overall user experience but there are some challenges Lauren says it claims it's executing tasks but nothing happens and it says that it can scrape accounts reasonably well but nothing happened after the task that they used to model this was to grow Twitter and gave it this profile didn't read it correctly correctly saying it thinks that Lauren here is a beauty influencer and so it didn't scrape the right profiles but it did scrape some overall I think that it's clear that these implementations of this type of autonomous GPT type technology these autonomous AI agents are still very nascent right these aren't necessarily fully production ready you're not going to turn these into sort of business Tools in a full form quite yet but we're talking about a technology that's less than a week old in in many cases it has absolutely captured everyone's attention though and I think that these early examples uh the content creator the do anything machine this fixing coding problem app builder and this business starter are clear examples of where this might be going anyways guys I hope that gives you even more of an insight into what's being built with auto GPT and uh gets your brains going on what you might want to do with it as well thanks for watching and until next time peace

Channel: The AI Breakdown: Artificial Intelligence News

Views: 55,220

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Id: hnlYFDIpEnE

Length: 13min 15sec (795 seconds)

Published: Thu Apr 13 2023