Sometimes I go to a different page to take a screenshot and other times I'm browsing for a file, and other times I'm highlighting some log lines. Cursor did this well, with selecting text in the terminal auto-focusing the Cursor agent textbox so you could talk to the agent and then select some text and you didn't have to re-select the original agent textbox again. The agent is a top-level function in that system not "just another app I have to switch to" to take my context with.
I have some small amount of bias because I've always felt input-constrained on computers. I have to move my hands to go places and that's exasperating. I've tried head tracking, had a vim pedal for a while, and used tiling WMs, and things like this to aid but while my vim-fu is pretty good and I function inside things very well with it, my cross-application interface isn't.
In the end, perhaps we all have our home offices with our Apple Vision Pros and we talk to them like this to maneouvre faster through our machines and get our ideas into them.
Cool research. I wonder what we'll end up with.
Its wild that they even put this out as a demo. It should have been picked apart in the internal meeting. There is no way I'd ever show my product taking 5s to change a 1 to a 2 in a piece of text that the user was already hovering or taking 10s to drag and drop a line of text from one box to another. Even the image of finding a route between two images could be done quick if images were auto OCR'd which is a setting on most image viewers.
and that's aside from the obvious privacy problems.
Maybe you can share a scenario for that one? I can’t figure a scenario where all of this needs to be true. It seems like a recipe for accidents.
The second demo seems to be a wash: there's no time saved in saying "move this" versus "move crab". And an app-specific contextual menu would probably be faster.
The third demo doesn't seem to warrant the use of a pointer at all, since there is only one way to interpret the prompt.
None of this means that this approach will not be successful, but there's a reason why so many attempts to revolutionize user interfaces ended up going nowhere. Talking to your computer was always supposed to be the future, but in practice, it's slower and more finicky than typing.
In fact, the only new UI paradigm of the past 28+ years appears to have been touchscreens and swipe gestures on phones. But they are a matter of necessity. No one wants to finger-paint on a desktop screen.
It reminds me of Microsoft Recall in the sense that some portion of the screen is going to be continuously transmitted outside of the users control.
What happens when someone browses something very private (planning a surprise engagement. looking at medical data. planning a protest)? All that data gets slurped to google and subject to a warrant or discovery or building your advertising fingerprint.
Maybe the idea is that the data is sent to AI only when you right click, but that seems like a very thin firewall that a product manager will breach in the interests of delivering "predictive AI" via some kind of precomputed results.
I'm imagining a webpage with a link - instead of opening a new link to quickly google something or opening three new tabs based on hyperlinks, i can point at a paragraph or line and ask it to tell me about it.
Maybe I can point at a song on Spotify and have it find me the youtube video, or vice versa (of course this is assuming a tool like this wouldn't stay locked into one ecosystem.. which it will).
Point is that the concept of talking to the computer with mouse as pointer is pretty cool and i guess a step closer to that whole sci-fi "look at this part of the screen and do something"
Now you get to hear every person in the office do that around you.
Like, good tech, but do googlers live in the real world? Do they genuinely like the idea of an open office full of people talking to their computers? Do they all live alone without human contact?
Interesting but not “reimagining” anything.
I think the real story here is how vibe coding now enables flashy demo sites like this to be built for a concept that hasn’t yet earned it.
I like text selection exactly how it is. I want precise controls.
It's fine for a touch interface like a phone, but on a computer I expect precision. As much as I can get.
Anyway, I built a prototype on this idea, but instead of relying only on hover, I press Option to select a node in a custom AST-ish semantic layer I designed around a minimalist UI grammar, and Option + up/down arrows to move to parent/child node. This way, I have have an accurate pointer to the element I want to talk about, plus a minimal context window (parent component, state, a few navigation related queries).
What I learned from using it, though, is that the killer use case isn't necessarily the flashy "talk to this UI element" interaction shown in the Google demos. I do use it that way too; I have `Option + Shift + click` to copy a selector to the clipboard, so I can give an LLM connected to the live medium a precise reference to the element I want to discuss.
But the place where it has been most useful day to day is much simpler: source navigation. Point at the thing in the UI, jump to the code that is responsible for it. The difficult part is jumping to the code you care about (the code for UI or for the semantic element?), but in my system that distinction turned out to be usually obvious, which is what makes the interaction useful.
Of course learning proper cad software is probably the right thing here, but having Claude write python scripts which generate HTML files which reference three.js to provide a 3d view has gotten me surprisingly far. If something could take my pointer click and reverse whatever coordinate transforms are between the source code and my screen such that the model sees my click in terms of the same coordinate system it's writing python in, well that would be pretty slick.
Until then I've just had it list every surface in a legend, each colored differently, so I can say "three inches down from the top of pole six, and rotate it so the hoop part of the bolt faces northwest."
And the paper https://dam-prod.media.mit.edu/uuid/8e6d934b-6c6f-48e4-b0a1-...
Also featured in the Starfire vision video from 1992: https://youtu.be/jhe1DFY-SsQ?t=286
https://en.wikipedia.org/wiki/MacPlaymate
>The game features a panic button that when clicked on will cover the computer screen with a fake spreadsheet. The player can also choose to print out Maxie's current pose as a pinup.
https://archive.org/details/mac_MacPlaymate
Geraldo interviews Chuck Farnham about getting sued by Playboy:
https://news.ycombinator.com/item?id=42571845
https://www.upi.com/Archives/1989/02/09/Playboy-sues-over-se...
(Not going to happen)
But Google is a very ill positioned candidate for such OS. I would rather trust Apple and local-first on-device models.
>Sousveillance (/suːˈveɪləns/ soo-VAY-lənss) is the recording of an activity by a member of the public, rather than a person or organisation in authority, typically by way of small wearable or portable personal technologies.[14] The term, coined by Steve Mann,[15] stems from the contrasting French words sur, meaning "above", and sous, meaning "below", i.e. "surveillance" denotes the "eye in the sky" watching from above, whereas "sousveillance" denotes bringing the means of observation down to human level, either physically (by mounting cameras on people rather than on buildings) or hierarchically (with ordinary people observing, rather than by higher authorities or by architectural means).[16][17][23]
Would be tiresome though to hold hand out all day - but good for mobile and handwriting/drawing. Need zero latency.
Furthermore, the mousepad could become the magnetic sensor and not the screen in order to rest the palm. The nail bands then become the equivalent of the mouse so it's a hall effect mouse. But could the pad detect finger twitch for the buttons, though?
I'm mostly using my system to make comments on long AI-generated documents (especially design documents). I find it works well to have the AI generate something, and then I read through it, making comments along the way.
You can get pretty far just repeating the things you see... "I'm reading [heading] and [comments]". But I do find some use in selecting content and saying "I don't agree with this" or whatever else.
The result is just an augmented message. It looks like:
<transcript>
Let's see what we've got here.
<selection doc="proposal.md" location="paragraph 3">
The system already...
</selection>
No, I don't like how this is approaching the problem, ...
</transcript>
Then I just send this as a user message. Claude Code (and I'm guessing any of the agentic systems) picks up on the markup very easily. It also helps to label it as a transcript, as it can understand there may be errors, and things like spelling and punctuation are inferred not deliberate. (Some additional instruction is necessary to help it understand, for example, that it should look for homophones that might make more sense in context.)It makes reviewing feel pretty relaxed and natural. I've played around with similar note taking systems, which I think could be great for studying in school, but haven't had the focus on that particular problem to take it very far.
But I think the best thing really is giving the agent a richer understanding of what the user is experiencing and doing and just creating a rich representation of that. The keywords can be useful, but almost only as checkpoints: a keyword can identify the moment to take the transcript and package it up and deliver it.
One difference perhaps in design motivation: I have really embraced long latency interactions. I use ChatGPT with extended thinking by default, and just suck it up when the answer didn't really require thinking. I deliver 10 points of feedback at once instead of little by little. (Often halfway through I explicitly contradict myself, because I'm thinking out loud and my ideas are developing.) I just don't stress out about latency or feedback, and so low-latency but lower-intelligence interactions don't do it for me (such as ChatGPT's advanced voice mode, or probably Thinking Machine's work). I think this focus is in part a value statement: I'm trying to do higher quality work, not faster work.
Perhaps a text box and file upload isn’t the perfect interface for every use case but it is versatile which is a huge barrier to overcome.
Unless of course, their AI gets the same special privileges as the gpu in accessing drm content, and everything else is still locked out.
At some point I fully expect eye tracking (or attention tracking) to be common enough to be a first-class input method.
I prefer keyboard operation myself, but I can see how this could become useful in the future, for certain use cases.
What would be useful as well then is if you could bind such a repeatedly-used AI command to button/menu item/keyboard shortcut in a way that it can still be used with pointing “this” and “that”.
On a less serious note, the audience for this is people who want to optimize for what seems like the least amount of effort.
They have so many great software engineers but unable to use them to speed up coding AI research. Hopefully with Sergey's focus it will get better.
This cursor thing is just another experiment nobody cares about.
Wait…it's May. Ugh, I'm so confused. :spiral eyes emoji:
Nightmares are dreams as well and this is a nightmare like Windows Recall.
Technically wonderful though.
We couldn't quite track you well enough before. So we're fixing that under the guise of "AI powered capabilities."
I also don't think people want to constantly talk to their computers.
I'm hoping for a const-reference joke.
Aaaaand now I can't remember the name of it
Anything with voice controls for routine use is a pretty tough sell. Doing this when you're not completely alone would be annoying to everyone around you.
Most of their examples seem like they could have been done with a right click drop down menu so they don't really need to "re-invent the mouse pointer".
So is this thing talking to Google's servers all the time for the AI integration? So it won't work if you're not connected to the internet? Privacy concerns are obvious; now Google wants to have an AI watching literally everything you do on your computer?
Does it cost the user anything for the LLM use? If it's free will it stay free forever? That's quite a lot to give away if they're expecting people to use it to change a single word like in one of their examples. I guess they're expecting to make the money back by gathering data about literally everything you do on your computer.
There might be a killer app for AI integration with personal computers that has yet to be invented, but this doesn't look like it.
But I don't think the voice problem is surmountable. I closed their image editing demo when I saw it required a mic.
It would be appealing as a Spotlight-like text pop-up interface where you type instructions, which would work in social/office environments, but that might only appeal to power users.
But if it's going to require phoning home to some Google/OpenAI/whoever then forget it. I don't want a constant connection to my OS from one of these companies.
Except for the large majority of people who read, type, and click way faster than they can talk. Especially for visual things it’s way faster to drag a rectangle than to describe what you want.
A lot of us also aren’t linear verbal thinkers. It would take minutes to hours to verbalize concepts we can grasp visually/schematically in seconds.
Great book on the topic: https://www.goodreads.com/book/show/60149558-visual-thinking
I usually convey the same meaning with 80wpm typing. Makes it faster to read too
Maybe I’m just slightly adhd – listening to people talk drives my crazy. Get to the point! Much easier if they type it out
I think its brilliant UX.
First things that came to mind:
And that thinking about it for 30s. I'm sure there are some really good use cases, but will any research group/company push through for years and years to make it really good even if the response is luck warm ?https://www.youtube.com/watch?v=46EopD_2K_4
>We present a general-purpose implementation of Grossman and Balakrishnan's Bubble Cursor [broken link] the fastest general pointing facilitation technique in the literature. Our implementation functions with any application on the Windows 7 desktop. Our implementation functions across this infinite range of applications by analyzing pixels and by leveraging human corrections when it fails.
Transcript:
>We present the general purpose implementation of the bubble cursor. The bubble cursor is an area cursor that expands to ensure that the nearest target is always selected. Our implementation functions on the Windows 7 desktop and any application for that platform. The bubble cursor was invented in 2005 by Grossman and Balakrishnan. However a general purpose implementation of this cursor one that works with any application on a desktop has not been deployed or evaluated. In fact the bubble cursor is representative of a large body of target aware techniques that remain difficult to deploy in practice. This is because techniques like the bubble cursor require knowledge of the locations and sizes of targets in an interface. [...]
https://www.dgp.toronto.edu/~ravin/papers/chi2005_bubblecurs...
>The Bubble Cursor: Enhancing Target Acquisition by Dynamic Resizing of the Cursor’s Activation Area
>Tovi Grossman, Ravin Balakrishnan; Department of Computer Science; University of Toronto
I've written more about Morgan Dixon's work on Prefab (pre-LLM pattern recognition, which is much more relevent with LLMs now).
https://news.ycombinator.com/item?id=11520967
https://news.ycombinator.com/item?id=14182061
https://news.ycombinator.com/item?id=18797818
https://news.ycombinator.com/item?id=29105919
(And if it's an abstract entity like a file, it might not even be possible to describe it, short of rattling off the entire file path)