It would not work for certain cases, you’re right, like stuff with many differnelty names documents or doing research in the browser.
But for what I had in mind - I’ve checked and on my setup the projects name is in the apps window decoration, in the cli when I do the commits, in the directory view sidebar, in the OS taskbar etc.
It should be pretty straight forward to figure out from a screenshot, even when the app is not in the foreground.
We can log active processes and services, windows’ headers and states, their and mouse’s position, integrate it with one’s git versions’ and browser view’s history, history of all file relocations done by select programs or\and by user. If there’s an AI assistant like M$ Autopilot, also log every request and output in a text form, log keys, back up settings and configs. If we talk about screenshots, pure text table is as light as a feather and is easier to work with, so this 3sec delay looks like an overkill, even though they’d find a way to compress it. With enough data, it’s probably easier to take time and reconstruct an approximate screencap than hoard it.
I imagine dragging your position on a timeline across entire months may be a fun novelty. But I don’t see myself having a reason to use it and prefer to lose information over logging so much of it even if it’s secure.
AIs have been capable of doing this for ages already.
It just falls into the set of useful stuff that LLMs trained as chatbots suck at because they had the useless goal of convincing people they are smart.
I mean sure, if you program in folder A for project A and folder B for project B that is easy and doesn’t even require any machine learning but I was thinking of research in the browser or writing documents that are not directly labelled with any project information.
Even humans couldn’t do that. How would AI know that that API documentation for the standard library I am looking at is something I am looking at because I need it for code in a specific project. That information just isn’t there unless you can also read my mind at the time.
I highly doubt current AI models are capable of figuring out which bit of work you do is related to which project.
It would not work for certain cases, you’re right, like stuff with many differnelty names documents or doing research in the browser.
But for what I had in mind - I’ve checked and on my setup the projects name is in the apps window decoration, in the cli when I do the commits, in the directory view sidebar, in the OS taskbar etc.
It should be pretty straight forward to figure out from a screenshot, even when the app is not in the foreground.
We can log active processes and services, windows’ headers and states, their and mouse’s position, integrate it with one’s git versions’ and browser view’s history, history of all file relocations done by select programs or\and by user. If there’s an AI assistant like M$ Autopilot, also log every request and output in a text form, log keys, back up settings and configs. If we talk about screenshots, pure text table is as light as a feather and is easier to work with, so this 3sec delay looks like an overkill, even though they’d find a way to compress it. With enough data, it’s probably easier to take time and reconstruct an approximate screencap than hoard it.
I imagine dragging your position on a timeline across entire months may be a fun novelty. But I don’t see myself having a reason to use it and prefer to lose information over logging so much of it even if it’s secure.
AIs have been capable of doing this for ages already.
It just falls into the set of useful stuff that LLMs trained as chatbots suck at because they had the useless goal of convincing people they are smart.
I mean sure, if you program in folder A for project A and folder B for project B that is easy and doesn’t even require any machine learning but I was thinking of research in the browser or writing documents that are not directly labelled with any project information.
No, AIs have been capable of looking at your code|text|image|whatever and telling the project apart. For ages. It’s not even impressive anymore.
Even humans couldn’t do that. How would AI know that that API documentation for the standard library I am looking at is something I am looking at because I need it for code in a specific project. That information just isn’t there unless you can also read my mind at the time.