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ChatGPT agent: bridging research and action

openai.com

61–70 of 508 posts

Re: ChatGPT agent: bridging research and action

#61
post #21

Earlier quoted context omitted.

By 2030 Europe will be known for croissants and colossal brains.

The European livestyle isn't god given and has to be paid for. It's a luxury and I'm still puzzled that people don't get that we can't afford it without an economy.

If predictions of AI optimists come true, it's going to be an economic nuclear bomb. If not, economic effects of AI will not necessarily be that important

Re: ChatGPT agent: bridging research and action

#62
post #39

It's great to see at least one company creating real AI agents. The last six months have been agonising, reading article after article about people and companies claiming they've built and deployed AI agents, when in reality, they were just using OpenAI's API with a cron job or an event-driven system to orchestrate their GenAI scripts.

> It's great to see at least one company creating real AI agents.

I am already doing the type of examples in that post with claude code. claude code is not just for code.

this week i've been doing market research in real estate with claude code.

Re: ChatGPT agent: bridging research and action

#64

One the one hand this is super cool and maybe very beneficial, something I definitely want to try out. On the other, LLMs always make mistakes, and when it's this deeply integrated into other system I wonder how severe these mistakes will be, since they are bound to happen.

That is the problem. LLMs can't be trusted.

I was searching on HuggingFace for the model which can fit on my system RAM + VRAM. And the way HuggingFace shows the models - bunch of files, showing size for each file, but doesn't show the total. I copy-pasted that page to LLM and asked to count the total. Some of LLMs counted correctly, and some - confidently gave me totally wrong number.

And that's not that complicated question.

Re: ChatGPT agent: bridging research and action

#66
post #48
post #30

The "spreadsheet" example video is kind of funny: guy talks about how it normally takes him 4 to 8 hours to put together complicated, data-heavy reports. Now he fires off an agent request, goes to walk his dog, and comes back to a downloadable spreadsheet of dense data, which he pulls up and says "I think it got 98% of the information correct... I just needed to copy / paste a few things. If it can do 90 - 95% of the…

I’ve worked at places that sre run on spreadsheets. You’d be amazed at how often they’re wrong IME

Exciting stuff

Re: ChatGPT agent: bridging research and action

#67
post #3

I do not know what an agent is and at this point I am too afraid to ask.

Giving an LLM access to the command line so it can bash and curl and and python and puppeteer and rm -rf / and send an email to the FBI and whatever it thinks you want it to do.

While it's common that coding agents have a way to execute commands and drive a web browser (usually via MCP) that's not what make it an agent. Agentic workflow just means that LLM has some tools it can ask agent to run, in return this allows LLM/agent to figure out multiple steps to complete a task.

Re: ChatGPT agent: bridging research and action

#68
post #2

For me the most interesting example on this page is the sticker gif halfway down the page. Up until now, chatbots haven't really affected the real world for me†. This feels like one of the first moments where LLMs will start affecting the physical world. I type a prompt and something shows up at my doorstep. I wonder how much of the world economy will be driven by LLM-based orders in the next 10 years. † yes I'm awar…

By "sticker gif" do you mean "update the attached sheet" screen recording?

I'm assuming he means the "generate an image and order 500 stickers" one.

Re: ChatGPT agent: bridging research and action

#69
post #14

It's very hard for me to imagine the current level of agents serving a useful purpose in my personal life. If I ask this to plan a date night with my wife this weekend, it needs to consult my calendar to pick the best night, pick a bar and restaurant we like (how would it know?), book a babysitter (can it learn who we use and text them on my behalf?), etc. This is a lot of stuff it has to get right, and it requires a…

It has to earn that trust and that takes time. But there are a lot of personal use cases like yours that I can imagine. For example, I suddenly need to reserve a dinner for 8 tomorrow night. That's a pain for me to do, but if I could give it some basic parameters, I'm good with an agent doing this. Let them make the maybe 10-15 calls or queries needed to find a restaurant that fits my constraints and get a reservatio…

I see restaurant reservations as an example of an AI agent-appropriate task fairly often, but I feel like it's something that's neither difficult (two or three clicks on OpenTable and I see dozens of options I can book in one more click), nor especially compelling to outsource (if I'm booking something for a group, choosing the place is kind of personal and social—I'm taking everything I know about everybody in the group into account, and I'd likely spend more time downloading that nuance to the agent than I would just scrolling past a few places I know wouldn't work).

Re: ChatGPT agent: bridging research and action

#70
I've been using OpenAI operator for some time - but more and more websites are blocking it, such as LinkedIn and Amazon. That's two key use-cases gone (applying to jobs and online shopping).

Operator is pretty low-key, but once Agent starts getting popular, more sites will block it. They'll need to allow a proxy configuration or something like that.

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