I like to imagine they’ll mostly capture meta employees using AIs to do work.
Then they’ll deploy models trained on this, and begin capturing employees using AIs that are good at using AIs to do work.
Repeat a few times and they’ll start capturing the keystrokes from people mashing their heads into keyboards with dispair and exclaiming, “Why can’t these models do anything anymore!!”
I am to speculate that they are going to use this as an excuse to let people go without doing mass layoffs and having to pay severance. Training AI is just an excuse.
Many many moons ago I refused to implement a calendar event scraping system at Meta where it would look at all of your meetings on the calendar and do "analysis". IDK what ever happened to that task, I assume it died a death of no one else being willing to do it. This was probably 2011 or so, I can only imagine it has gotten so much worse.
It's pretty easy to scrape your own calendar events in Meta. I'm not sure about others' as I'm not a manager, but I wouldn't be surprised if it were visible as long as someone is in your report chain.
It's been a while so I don't remember the specifics, but the I think the request came from someone working at Accenture from one of the FinTech teams? At the time the proposal had both technical limitations and performance implications on top of the privacy issues. To do it right would have meant standing up a new set of client exchange endpoints and permissions that were far too permissive so the task just got ignored for a long time and I think that manager behind it went away eventually or they settled for public data inside the company.
The only report chain based permissions were around distribution lists which were just some powershell scripts that walked AD every night. These also got used for security groups to gate access to some things. Be default, calendars were visible to all authenticated users unless you made them private or individual events private. The meeting tool leveraged this for example.
I was working on corp email (among other things) there from 2009 to 2016, so I can't speak for now.
White collar firms with a reputation for paying well don’t cheap out on severance. It’s a cheap way to get employees to sign some stuff reducing the risk of lawsuits, plus their unemployment insurance premiums stay lower.
It’s only once the business is having a cash crunch or will no longer need to hire competitive candidates that they start letting people go without severance.
While it would be a hilarious failure mode to encounter, this is actually a good thing!
These models already have the skills that humans were using them for, so either by training the models to use subagents or simply inlining the work done by the AI, you have a much easier time training the model to perform tasks from a human-distribution. The humans have done the work of making the human-distribution look more like an AI distribution.
Not when all of the marketing of LLMs is touting their abilities to do the exact thing and that is what investors are being presented.
If it is as you say, then eventually the house of cards will crumble. Then we can finally go back to work and quit being inundated with needing to use AI for everything.
Then they’ll deploy models trained on this, and begin capturing employees using AIs that are good at using AIs to do work.
Repeat a few times and they’ll start capturing the keystrokes from people mashing their heads into keyboards with dispair and exclaiming, “Why can’t these models do anything anymore!!”