In a way, this is already happening. There used to be a big wave of UDAs (User Defined Applications) like Excel macros etc that were largely ungoverned and ungovernable in enterprises.
At some point, the quantum became so large that they had to clean that up.
Same is happening now with "agents", where people are building agents for the sake of it, without any sort of centralised orchestration, which will very soon turn into an ungovernable situation....
The title and graph felt to me like there would be a deeper analysis of actual AI use-
All I've seen management do is generate name suggestions for projects. Colleagues use Consensus for literature review (which I'm sure isn't worth the output, but-) and marketing seems to use it for boilerplate and maybe emails.
I'm toying with letting it write JavaScript to write SVGs and maybe let it improve some python scripts I'm already using here and there, maybe have it port something from BerkeleyMadonna to Julia - stuff I know would take far too much effort to be worth spending the week-month it needs on. It works for this.
I can predict with absolute clarity what will happen with AI in corporate settings.
It is going to turbocharge the unnecessary.
The reason big companies are inefficient is because they can be .
I work with a lot of large companies, and there's incredible amounts of busy work .
Now that AI allows people to do quite a lot more , or a little more, It just means that more distractions will be catered for .
- More preparation for the meeting that didn't need to happen./
- Better graphics on the newsletter that doesn't need to exist.
- Automated note taking on the poorly run meeting because no agenda was set.
I'm not remote, I'm miserable. I just know how things work
Ai is amazing, But the entire focus simply cannot be more .
It has to be a lot less and a lot better
But almost by definition, AI is about expanding things with averageness
In a way, this is already happening. There used to be a big wave of UDAs (User Defined Applications) like Excel macros etc that were largely ungoverned and ungovernable in enterprises.
At some point, the quantum became so large that they had to clean that up.
Same is happening now with "agents", where people are building agents for the sake of it, without any sort of centralised orchestration, which will very soon turn into an ungovernable situation....
All seen before!
The title and graph felt to me like there would be a deeper analysis of actual AI use-
All I've seen management do is generate name suggestions for projects. Colleagues use Consensus for literature review (which I'm sure isn't worth the output, but-) and marketing seems to use it for boilerplate and maybe emails.
I'm toying with letting it write JavaScript to write SVGs and maybe let it improve some python scripts I'm already using here and there, maybe have it port something from BerkeleyMadonna to Julia - stuff I know would take far too much effort to be worth spending the week-month it needs on. It works for this.