> "You need to choose which action to take to help a user do this task: {objective}. Your options are navigate, type, click, and done. Navigate should take you to the specified URL. Type and click take strings where if you want to click on an object, return the string with the yellow character sequence you want to click on, and to type just a string with the message you want to type. For clicks, please only respond with the 1-2 letter sequence in the yellow box, and if there are multiple valid options choose the one you think a user would select. For typing, please return a click to click on the box along with a type with the message to write. When the page seems satisfactory, return done as a key with no value. You must respond in JSON only with no other fluff or bad things will happen. The JSON keys must ONLY be one of navigate, type, or click. Do not return the JSON inside a code block."
Until you realize that it doesn't work well with less popular videos (any items really), because "Large Language Models Struggle to Learn Long-Tail Knowledge" [1].
At my work there are a large contingent of people who essentially do manual data copying between legacy programs (govt), because the tech debt is so large that we can't figure out a way to plug these things together. Excited for tools like this to eventually act as a layer that can run over these sort of problems, as bizarre a solution as it is from a compute perspective
A long, long time ago I worked on a small project for a major multinational grocery chain.
I made them a tool that parses an Excel file with a specific structure and calls some endpoints in their internal system to submit the data.
I was curious, so I asked how they are doing it currently. They led me to a computer at the back of their office. The wallpaper had two rectangles, one of them said MS EXCEL and the other said INTERNET EXPLORER. Then the person opened these apps, carefully positioned both windows exactly into those rectangles and ran some auto-clicker - the kind cheaters would use in RuneScape – which moved the cursor and copied and pasted the values from the Excel into the various forms on the website.
I worked with a client who used a multi-millon dollar system for moving goods automatically into packaging stations. The system was built and maintained by a major european company. All the data was transfered automatically between systems normally, but one day, for some reason, there was an internal communication error inside the machine which caused a lot of packages to be sent without being recorded as such.
Now normally we would just have contacted the company and asked them for a data extraction so we could cross-reference the data. But since it wasn't clear who was at fault, and we knew it would take weeks for that extraction, we looked for an internal solution first.
Now there was a subsystem in the machine that worked only in Internet Explorer, with an old authentication scheme, that we could use to see the information we needed, so I, being the only person in the team without formal analysis training but having made my way there from a clerk job, knew exactly what to do.
I fired up the old IE, Excel, wrote in 5 minutes a VBA script that did exactly what you described, click there copy that etc, and 30 minutes later we had our extraction, and resolved the issue completely before the packages were even shipped.
I wonder if it used something like AutoIt[0]. I remember using it at one of my more boring co-op jobs about 20 years ago to automate moving data between a spreadsheet and some obscure database product.
Funny that you and others on here don't seem to realize that literally everybody who uses the internet has the exact same data entry problem all the time. Blame it on "old software", but how about the entire internet?
copying (or in most cases even worse: re-typing) form data from one location on the screen into yet another webform.
Username, password, email address, physical address, credit card info etc etc.
Some extensions try to help with data entry, but none of them work properly and consistently enough to really help. Even consistently filling just username and pw is too much to ask.
It's my number 1 frustration when using the internet (worse than ads) and I find it mind-blowing that this hasn't been solved yet with or without LLMs.
I would pay a montly fee for any software that solves this once and for all and it sounds like it's coming (and I'm already paying their monthly fee).
> It's my number 1 frustration when using the internet (worse than ads) and I find it mind-blowing that this hasn't been solved yet with or without LLMs.
Simple: it's because not solving this problem is how our godawful industry makes most of its money. Empowering the user means relinquishing control over their "journey"[0]. Ergonomics means fewer opportunities to upsell or show ads.
I don't have the link handy, but I'm reminded of one of the earliest Windows user interface guidelines documents, back from Windows 95/98 era, which, in a section about theming/visual style, already recognized that they have to allow for full flexibility, because vendors will insist on fucking the experience up for the sake of branding anyway, and resisting it is futile[1].
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[0] - I'm trying really hard to hold back my contempt towards terms like this, and the whole salesy way of viewing human-computer interactions.
[1] - They put it in much more polite terms, but the feeling of helplessness was already there.
Ted Nelson’s “intertwingularity” isn’t far off from the data entry problem described. He argues for universal data access where duplication is obsolete. Imagine form data as a single, linkable object across the web, editable in one place, reflected everywhere—no re-typing, just seamless auto-fill. That’s the unrealized potential of hypertext.
Yeah, my dream would be using this to scrape pages, pop the content into my provide db, serving it up in my own format (which is going to be a white page with letters with inline images and videos that are not ads. And my interactions fed back to the vision model to post in the original. So I never have to see a ‘design’ (heavy js riddled unreadable crap) again in my life. And so I can, with my own tooling, browse and reuse my history including content instead rely on all the broken stuff bolted on the web.
Bash pipes? The free flow of information through composable tools.
The commercial web? Not the above.
This is just a baseline. I’m sure that an LLM can help the issue but the biggest problem is that these varied HTTP-with-datastores are islands passing messages in bottles back and forth while a bash pipeline is akin to fiber optics.
consistently filling out username and password is all I wanted from my password manager, but it turns out it handles credit card number and other bits of information for me as well.
The industry buzzword is "Robotic Process Automation", which as a category of products has been focused on using various forms of ML/AI to glue these things together in a common/structured way (in addition to good old fashioned screen scraping).
Up this this point, these products have been quite brittle. The recent explosion of AI tech seems like quite a boon for this space.
I totally agree on all points, especially around what AI means for this.
I'm kind of in a happy accident situation because I was working on something for RPA, which then became a layer that was factored as its own product, but now might be able to come full circle as a result of AI.
Essentially this layer can function as a "delivery medium" for RPA agent creation, that you can use on any device without download. However, as it has many others uses I've been working on those, but I've been seeking a great reason to get back into RPA.
I have a cool idea to leverage human-guided AI creation of data maps and action tours for RPA, but similar to what you say, unless great care is taken you can end up with a brittle approach. Also, as the market has been quite saturated many reasonable approaches, I just haven't felt compelled.
Yet now I think the possible merging of GPT level AIs with browser instrumentation to deliver an augmented way to browse the web makes that incredibly compelling.
So I'm incredibly thrilled that I have this happy accident of BrowserBox^0 (the factored out layer originally from RPA work above) which provides a pluggable/iframe-emebeddable interface for remotely controlling a headless browser. So now I want to look at unifying BrowserBox with this kind of GPT driven exploration.
It's even cooler, because, as BB enables co-browsing by default (multiplayer browsing) and turns the browser into a "client-server" architecture, I can see plugging in GPT-4V as a connecting client with some kind of minimal API affordance for it to use would, like the very cool vimium keyboard-enabled browsing in the OP, would be such interesting project to try!
We're open source so if you want to check us out or get involved in this quest, come say hi, maybe get involved if you're game!
I have watched your project for a while as a possible option for embedded browsers for XR applications like WebXR but the high licensing cost was a factor and solutions like Hyperbeam or Vueplex in Unity have been possible. Defiantly agree that multimodal LLM integration is a huge opportunity and multiplayer browsing with AI in realtime is a super cool idea if you package it right.
Hi jimmySixDOF thank you for the kind words and the attention on our project! :)
Regarding pricing we have heard that feedback over time and gradually adjusted our licensing costs. It should now be much more affordable as it is targeted towards large deployments, with decreasing cost and increasing value at scale.
If you'd like to send an email with any thoughts on our current prices on https://dosyago.com to cris@dosyago.com I'd highly value it!
Your idea of WebXR and embedding within Unity is very interesting, and I think it could be a fit.
RPA is for data sources and destinations that are meant for human consumption and entry. So you’d use RPA to take an image of a table and enter every row into a web form.
A little perhaps, but not much. One can replace a bank of physical fax machines with modems.
It would be an interesting job for sure. Why wasn't it done before? I can imagine only two reasons. One, there isn't that much data to move and it makes no sense to build software for what few people spend 30min per day on. Two, the data in the legacy system is images and people are not just moving it between systems, but they also do categorisation, verification etc. In which case an AI model may be useful, but almost always hard coded rules will be faster.
Whenever I hear about such a thing (people doing legacy system data extraction manually) I wonder if in every case someone got the estimate for the "proper" solution and just decided a bunch of people typing is cheaper?
Integrating things like Chatgpt will still require people who know what they are doing to look at it, and I wouldn't be surprised if the first advice they give is "don't use chatgpt for it".
If the market forces work as they’re supposed to (not a given anymore), then corporations that adopt better tech will see better profits through lower expenses. And then the laggards will have to adapt or die.
Also remember that this is essentially v1 of the software- the Windows 95 of this adoption cycle
I remember years ago thinking it was weird in Ghost in the Shell when a robot had fingers on its fingers to type really fast. Maybe that really won’t happen since they can plug into USB at least, but they will probably use the screen and keyboard input sometimes at least.
I believe that LLMs will automate most of our data entry/copy/transformation work.
80% of the world's data is unstructured and scattered across formats like HTML, PDFs, or images that are hard to access and analyze. Multimodal models can now tap into that data without having to rely on complex OCR technologies or expensive tooling.
If you go to platforms like Upwork, there are thousands of VAs in low-cost labor countries that do nothing else than manual data entry work.
IMO that's a complete waste of human capital and I've made it my personal mission to automate such tedious and un-creative data work with https://kadoa.com.
I was thinking what the payoff would be to pose as human for these terrible pay click jobs and then assign them to an LLM en masse. There's an arbitrage there ... it may be a good strategy.
I heard recently "click-work" works out to about $4/hr* If you could do that x50, passively, it's a fine income.
maybe. A lot of modern clickwork is actually model training and there is a model-collapse phenomena (https://arxiv.org/abs/2305.17493) which means that it should be banned for such work. I bet a number of clever people on the platforms are already trying to instrument AI to do the work regardless - it's pretty close to "free money" if you can pull it off and not get caught and at a spigot size where there's no real serious consequences if you do.
Kinda sci-fi, we're so close to a future where when/if original source code is lost, a mainframe runs in an emulator and the human operating it is also emulated.
It's bizarre computationally, but at this point maybe we have to compare it to the alternative: hiring a person. At least the AI only consumes electricity (which is hopefully green), while a person consumes food (grown with mined fertilizers), or meat (which we know is really bad for the environment).
> a large contingent of people who essentially do manual data copying
Yup.
I was briefly part of a decades long effort to migrate off a main frame backend. It was basically a very expensive shared flat file database (eg FileMaker Pro). Used by thousands of applications, neither inventoried or managed. Surely a handful were critical for daily operations, but no one remembered which ones.
And the source data (quality) was filthy.
I suggested we pay some students to manually copy just the bits of data our spiffy "modern" apps needed.
No one was amused.
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I also suggested we find a suitable COBOL runtime and just forklift the mainframe's "critical" infra into a virtual machine.
No one was amused.
Lastly, I suggested we throttle access to every unidentified mainframe client. Progressively making it slower over time. Surely we'd hear about anything critical breaking.
Working on this layer at https://autotab.com. This sounds like an amazing problem for browser automation to solve, would love to talk with you if you’re interested!
I should have been clearer, it's between two apps that we host internally - applications on our own intranet cannot talk to each other. If you want to get any data out of either of these apps to the world, you need to do a manual export and email/usb which would obviously flag
Correct, but chat gpt reads screen data to be able to "click" around. So you would need to expose at least data that is displayed on screen to this external product.
I think vim is unintentionally a great “embodiment” for chatgpt. There’s nothing that can’t be done with a stream of text, and the internet is full of vimscript already
I started a similar experiment if anyone else is thinking along the same lines :)
Hey! Creator here, thanks for sharing! Let me know if anyone has questions and feel free to contribute, I've left some potential next steps in the README.
Woah looks great, not surprised that multiple people thought of this! Your prompt looks much better than mine, I'm not really taking advantage of any of the default Vimium shortcuts.
Nice. I know Open Interpreter are trying to get Selenium automated to natural language control and quite a few other projects are also popping up on HN lately. The vimium approach is a lot lighter so looks promising. One way or another the as-published world wide web is turning into its own dynamic API overlay server. Ingest all the Sources!
I've been playing with a similar idea of screenshots and actions from GPT-4 Vision for browsing, but after trying and failing to overlay info in the screenshot, I ended up just getting the accessibility tree from playwright and sending that along as text so the model would know what options it had for interaction. In my case it seemed to work better, I see the creator is here and has a list of future ideas, maybe add this to the list if you think its a good idea?
Probably better to capture all the content and not just what fits on one screen. Most pages should fit as text (or HTML?) in the new extended token window.
Been playing with this through the ChatGPT interface for the past few weeks. Couple of tips. Update the css to get rid of the gradients and rounded corners. I found red with bold white text to be most consistent. Increase the font size. If two labels overlap, push them apart and add an arrow to the element. Send both images to the API, a version with the annotations added and a version without.
I think costs can come down if you finetune open source models like llava or cogvlm. This demo also cost about 6 cents so it's not insanely expensive either, especially with clever prompting.
How will tools like this affect web tracking or generally advertisements on the internet? Imagine you could have an agent browse the web for you and fetch exactly what you are seraching for without you seeing any ads/pop ups or being tracked along the way! Could be a great ”ad blocker”! Could it perhaps also make SEO useless and thus improve the quality of internet?
But I wonder if it also could have negative effects such as the ads being “interweaved” into the fetch content somehow!
1. receiving payslips from the accountant, and then
2. manually initiating bank transfers to each employee for the amount in the corresponding payslip, and then
3. manually initiating a bank transfer to the tax authority to pay the withholded salary taxes.
This is completely useless manual labor. There should be no reason for this to be a manual procedure. And yet it's almost impossible to automate this. The accountant portal either has no API, or it has an API but lets you download the data as PDF, and/or the API costs good money. The bank either has no API, or it requires you to sign up for a developer account as if you're going to publish a public app, when you're just looking to automate some internal procedures.
So the easiest way to pay salaries and taxes is still to hire a person to do it manually. Hopefully one day that won't be necessary anymore. I wouldn't trust an AI to actually initiate the bank transfers, but maybe they can just prepare the transactions and then a person has to approve the submission.
I don't think this really has much to do with AI. In the UK there are solutions like Pento now which do all this, including automating payments via open banking to the user and the tax authority and automatically filing tax filings:
That's just a bank problem. Certainly this isn't how payroll works for large companies. Banks usually let you upload XML files that define a set of SWIFT payments, this is how I do payroll even for a small company. The accountants supply the XML file too, presumably they have an app that generates it.
In my country it's similar but for some data you have to upload to the government agency's site, I think it was earlier this year that they released a statement saying that people using software to perform actions on the website could get banned.
It's also a little insane to me that what Adept has been supposedly building for years with 300+ mil in funding can now be built in a day with Open AI APIs?
I think Adept pivoted along the way but original concept was very similar to this.
But its too expensive to become practical with the OpenAI API. Also, demo is cool until you see the real-world webpages, then you'll realize that this only works less than %50 of webpages.
GPT-4V may be surprisingly robust here. Set of mark prompting(which is accomplished here with Vim) improves grounding by a silly high amount.
https://som-gpt4v.github.io/
How is this making your browsing experience any better? You still have to know what you want to do, and it is just faster to type Rick roll into youtube directly and click the links directly instead of having to type k, or vh, or whatever. You are just adding a useless chatgpt middleman between you and the browser that you likely spend all day in anyway and should be adept at navigating
Yeah, I've been feeding screenshots from selenium to the vision API, and when I trigger bot detection on a website, chatgpt refuses to process the image.
This is amazing, I feel like these vision models are going to make everything so much more accessible. Between the Be My Eyes app integration and now this, I'm really excited for how this transforms the web.
I agree, and I think we're a year or two away from a full end-to-end trained screen reader. The ground truth from existing systems would provide great training material.
As a technical blind person, my only concern is the inherent loss of privacy while sharing stuff with the big models.
It also shows that GPT-4V created a new angle in web scraping.
I guess, this or similar code would be leveraged in many projects like:
1. Scrape XXX websites, say LinkedIn or Twitter use all types of methods in the DOM to prevent it, but fighting working well GPT-4V + OCR would be ultra hard.
2. Give me an analysis of what these XXX companies are doing. And this could be done for competitors, to understand the landscape of some industry, or even plainly to get news.
Large-scale scrapping, not depending on the source code of the pages is a powerful infrastructural change.
I tried to use it, but unfortunately it often did not add the little annotations for the different options to the screen and it got stuck in a loop. This bot works by adding a two letter combination to each clickable option, but sometimes they don't show up. It managed to sign in to twitter ones, but really quickly I burned through the 100 images api limit.
Maybe for a future version it only uses vision for difficult situations in which it gets stuck and otherwise uses the text based browser?
This could enable human language test automation scripts and could either improve my life as a QA engineer a lot or completely destroy it. Not sure yet.
Usually there are a lot of comments about how text is the best interface and it's making a comeback in the LLMs but in this case picture is the better medium since parsing the webpage js would prove too difficult. I think a screenshot of a webpage has a smaller footprint than the raw payloads (js, assets, etc.).
I think this can be extended to desktop as well. There are programs that act like vimium for your desktop (win-vind, etc.). I don't have the openai API key to try it but I wish someone gave it a try (in obviously an isolated environment).
Is the vision model directly reading the screen and therefore also reading the Vimeo tags? It might be more effective to export the DOM tags and the associated elements as a Json object that is fed into chatGPT without using the vision component
I found that it works well to ask it to generate JSON the best it can, then pass it to gpt-3.5-turbo with the JSON response mode and instruct it to just clean up whatever input it received.
This is actually pretty interesting.. I am thinking maybe it would be faster than writing up selenium tests themselves if we could just give a few instructions.
I'm still going through the source, but really nice idea and great example of enriching the GPT with tools like vimium.
This is amazing that it's possible and works, but I wonder if the electricity cost is sustainable in the long run.
For handicapped people who depend on tools like this for accessibility, it's justified, but I wouldn't use it myself if it uses too much power.
I'm sure OpenAI and friends love operating at a loss until everyone uses their products, then enshittify or raise prices, like Netflix, Microsoft, Google, etc., but CO2 emissions can't be easily reversed.
I'd be glad to listen to other points of view though, maybe everything we do on computers is already bad for the environment anyway and comparing which one pollutes more is vain, idk.
https://github.com/ishan0102/vimGPT/blob/682b5e539541cd6d710...
> "You need to choose which action to take to help a user do this task: {objective}. Your options are navigate, type, click, and done. Navigate should take you to the specified URL. Type and click take strings where if you want to click on an object, return the string with the yellow character sequence you want to click on, and to type just a string with the message you want to type. For clicks, please only respond with the 1-2 letter sequence in the yellow box, and if there are multiple valid options choose the one you think a user would select. For typing, please return a click to click on the box along with a type with the message to write. When the page seems satisfactory, return done as a key with no value. You must respond in JSON only with no other fluff or bad things will happen. The JSON keys must ONLY be one of navigate, type, or click. Do not return the JSON inside a code block."