Latest / Elon Musk Podcast / OpenAI Launches ChatGPT Agent: AI Now Performs Your Tasks Independently
Transcript
- 0:01Hey everybody, welcome back to the Elon Musk Podcast.
- 0:05This is a show where we discuss the critical crossroads that
- 0:08shape SpaceX, Tesla X, The Boring Company, and Neurolink.
- 0:13I'm your host, Will Walden. What if ChatGPT could become
- 0:21your personal agent and independently complete your
- 0:25daily tasks without your direct guidance?
- 0:29So on Wednesday, Open AI unveiled a new ChatGPT feature
- 0:34called Agent, designed specifically to autonomously
- 0:37carry out tasks on behalf of you, its user.
- 0:41Moving beyond simple chat bot conversations.
- 0:44And Open AI released the Agent function officially after months
- 0:47of internal testing and testing with users on a very short list.
- 0:52And now they aim to push AI capabilities towards performing
- 0:56real world actions without continuous human oversight.
- 1:01Now this agent is really cool it it lets users delegate complex
- 1:06multi step tasks directly to ChatGPT, such as booking travel
- 1:11reservations, conducting detailed research, or managing
- 1:15personal scheduling. Now once given a task, the agent
- 1:19navigates multiple websites, gathers relevant information,
- 1:23makes decisions and completes actions online independently.
- 1:27For example, a user might instruct the agent to plan a
- 1:31weekend trip to San Francisco and it would book the best rated
- 1:35flights, hotels, and activities entirely without user
- 1:39intervention beyond the initial request.
- 1:43Now what you could do is you could tell it what airline you
- 1:46would like to use, what your price race, what your price
- 1:50range is for your flight in your hotel and how much money you can
- 1:54spend on your activities and what kind of activities you
- 1:57like. And it will search for all of
- 2:00that for you without any intervention beyond the initial
- 2:06prompt. Now, Open AI designed the agent
- 2:08to understand the user's preferences and to act
- 2:11accordingly, refining its actions over time by analyzing
- 2:14past interactions with you. Now, this personalization allows
- 2:18it to better anticipate individual users needs,
- 2:21selecting choices closely aligned with specific habits
- 2:24that you have, and also your tastes.
- 2:27How the agent's effectiveness depends on its ability to
- 2:30continuously learn from each action, gradually reducing the
- 2:33need for explicit instructions. So if ChatGPT sends you an
- 2:41airline that's a little bit out of your price range for the
- 2:43flight, then you can go back and you can prompt it again and say
- 2:47that flight was a little bit too expensive.
- 2:50Please find me one that's less expensive.
- 2:52Here's my price range now. Also, if they book you on trips
- 2:59and you don't like the activities that they assigned
- 3:02for you or they want you to do, then of course you can tell them
- 3:06you don't like it. It's like having literally a
- 3:09personal assistant right in the palm of your hand, right in your
- 3:12phone, which is incredible. I remember, OK, so this is kind
- 3:16of dating me, but my mom and I used to go to the travel agent
- 3:20in town. This is before the Internet was
- 3:23even a thing. There were things called travel
- 3:25agents. There was no Google Flights.
- 3:28There was no like just Google a trip that you want to do.
- 3:32You'd have to go into an office. And these services are still
- 3:36available, but it's, you know, it's like you pay extra for it
- 3:39and it's not democratized like flights are now.
- 3:43But you'd go into an office and you'd talk to somebody and you
- 3:46tell them where you want to go one time.
- 3:49You want to go to Niagara Falls? This is a real world example.
- 3:52We had to go to. We want to go to Niagara Falls.
- 3:54My mom and dad hadn't been there in 10 years.
- 3:56They didn't really know what to do.
- 3:58There's no Internet, so you don't know what's there right
- 4:01now. And we lived 3 or 4 hours away
- 4:03from Niagara Falls, so we didn't really know what to do.
- 4:07We didn't know where to look. So we went to a travel agent and
- 4:11we told the travel agent what our budget was.
- 4:13I remember the lady was very nice.
- 4:16She complimented me on my Montego Bay T-shirt that I had
- 4:19when I was a kid, which I bought not in Montego Bay, but at a
- 4:24department store in town. And she was very courteous.
- 4:27She gave us maps. She, which is incredible as
- 4:31well, like a paper map. And you have to, you know, you
- 4:34unfolded it. And she told us, you know, you
- 4:36shouldn't fly. You should probably drive there
- 4:38because it's cheaper to drive. And here's a map.
- 4:41Can your car make it there? And my mom said, yeah, of course
- 4:45I can. So she gave us a map, told us
- 4:48along the way, she circled things along the way, like, you
- 4:52want to stop here? You want to stop, you know,
- 4:53these 5 or 6 different places, Here's a great place to eat.
- 4:57You know, you're going to have three kids in the car.
- 4:59They're going to be bathroom breaks.
- 5:00So within the first two hours, like, pull over here, go, you
- 5:04know, go get McDonald's or whatever it was.
- 5:07But sure enough, after that interaction was done, my mom had
- 5:11a whole plan for the trip to Niagara Falls. 4 hours there, 4
- 5:17hours home, things to do In between.
- 5:20We went to the Ripley's Believe It or Not museum, which had a
- 5:24bunch of like really interesting crazy stuff.
- 5:27I remember that and I was a little kid, so I can still
- 5:29remember this vividly. There's a wax museum we went to
- 5:32and there's like a like a, a restaurant that was, I think it
- 5:37was sort of like a Space Needle kind of thing, like a Seattle
- 5:39Space Needle. I can't really remember exactly
- 5:41what it was, but I remember we did that cool trip and when my
- 5:46mom got back, she was very excited that everything was
- 5:51taken care of. The travel agent had booked a
- 5:53hotel for us. The travel agent had booked a
- 5:55restaurant for us that night when we got into town.
- 5:58When we got in Niagara Falls, they also booked us reservations
- 6:04for some of the attractions, which is really cool.
- 6:07And this is what Open AI does with the, with this new agent
- 6:12thing. It's not just for trips, though.
- 6:14You can have it do whatever you want it to do.
- 6:16You know, trips are just one of the things that it can do.
- 6:20You can, you can instruct it to do anything for you, anything
- 6:24like a personal assistant would do for you.
- 6:27So if you need to make appointments, you know, I have
- 6:30a, here's my, here's my doctor's appointment coming up.
- 6:35You know, I need to get, I need to book a doctor's appointment.
- 6:38Can you see if it's available or something like that?
- 6:40And they would contact the doctor's office for you through
- 6:45the contact form or maybe even do a call eventually.
- 6:47I'm not sure if they could do phone calls yet, but possibly.
- 6:52But those things are in the future.
- 6:54I'm sure this is going to be a breakthrough product for Open
- 6:58AI. Now, this functionality requires
- 7:02integrating ChatGPT with external services.
- 7:05Services though, leverages application programming
- 7:08interfaces, which are APIs to interact directly with other
- 7:12apps and platforms. Now Open AI had to establish
- 7:16partnerships with major travel sites, booking services,
- 7:20productivity platforms, and also financial tools.
- 7:24And these integrations enable the agent to execute tests
- 7:27seamlessly, automating processes that previously required manual
- 7:32operations by users. So in the morning, if you wake
- 7:35up, you can just give it a prompt like, hey, I'm I need to
- 7:37rent a house in Atlanta, GA September 15th through the 30th
- 7:48because I'm just going to stay there for a couple weeks and I
- 7:51just want a house to stay at. Go find me a house to rent and
- 7:54ChatGPT can find you that house and also give you the
- 7:59information about which house you know.
- 8:02Send you back some links and let you know which one is the best
- 8:04option for you and for your taste.
- 8:07Pretty impressive so far. So they have to have security
- 8:11and privacy. It's a major focus right now
- 8:14during the agents development phase.
- 8:16And this is all sensitive automated actions with personal
- 8:20data. Opening Eye implemented strict
- 8:23guidelines for this though, and there's technical safeguards to
- 8:26protect user information, employing encryption and
- 8:30rigorous data protection standards to achieve this.
- 8:33The company is transparent about this.
- 8:37They tell you all the information that's collected and
- 8:40they clearly explain how and why user data is stored, accessed,
- 8:44and utilized during these automated tasks.
- 8:48Now to facilitate the responsible use, Open AI
- 8:51designed built in boundaries, restricting agent functionality
- 8:54and sensitive or high risk scenarios.
- 8:57These built in constraints prevent unauthorized purchases
- 9:00of transactions above predefined limits without additional user
- 9:05verification. The users retained full
- 9:07visibility over the agent's activity while it's happening,
- 9:11and they received regular summaries detailing actions
- 9:15completed and decisions that were made by the agent.
- 9:18So unlike a person, that's your agent who probably doesn't check
- 9:23in all the time, open AI, enchant GPT, check in with you
- 9:27after every part of the task, which is really great.
- 9:29And you can tell them along the way, you know, if if you don't
- 9:34like a part of what they're doing, and then you can tell
- 9:36them to stop. Now there's challenges though,
- 9:38on potential criticisms concerning automated decision
- 9:42making. So the accuracy of some of the
- 9:47things that they're going to come up with right off the bat,
- 9:51probably not going to be great, probably going to be pretty good
- 9:54and probably going to point you in the right direction.
- 9:56And then you can tweak it in the appropriateness of the agents
- 10:00independent actions as well. So you have to be careful about
- 10:03how you prompt this thing because if you say, I just want
- 10:06to stay in a place that's under $300, it's going to send you
- 10:10every motel, then hotel under $300.00 for per night.
- 10:17So, you know, that's then you're gonna have a huge list of like
- 10:21roadside motels that are, you know, paid by the hour, which
- 10:25wink, wink, you know what those kind are.
- 10:27And also, you know, paid by the night and they're $70.00.
- 10:30But like, they might not be the best place for you and your kids
- 10:33to be. So ChatGPT, like you got to be
- 10:37accurate and appropriate with your prompting as you tell
- 10:41ChatGPT and the agent what to search for.
- 10:45That's what we have to be really careful about, South.
- 10:49Don't be broad with your statements.
- 10:50Be very analytical with them and give them absolutely everything
- 10:55that you can think of, and then they'll do the actual work for
- 10:59you. I'm going to test it out and
- 11:00I'll come back with some more information for you on the next
- 11:04episode, which will be dropping later today.
- 11:06So please stay tuned for that. I'm going to go over the whole
- 11:09thing and I'm going to work out the agent workflow as much as
- 11:14possible and I'll let you know how that all works out.
- 11:17So thank you so much for listening.
- 11:18I have one ask of you, actually, I asked this yesterday, but I
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