A large part of the trades is learning how to deal with toxic coworkers or shops, or understanding that you're being worked like a rented mule for no real reason. And I was able to leave all that behind for a moment.
The difficulty with human abilities in vision, locomotion and particularly coordination and manipulation is due to their arithmetic complexity being high. Modern deep learning solves that, LLMs provide the "interface" for planned action.
From the outside, this process of "solving" perhaps looks like "robots stumble around haplessly". But it's just the same as with mathematicians in the intellectual realm: when the level of ability surpasses that of humans, it appears as a "sudden event" to outsiders, having occurred far faster than anticipated.
There are no "safe havens".
Where robots ‘win’ is following orders with no regard to self preservation or long term survival.
Ponder that for a bit, and it’s consequences get a bit scary.
Do you expect this to be true indefinitely? Robot production scaling has barely started.
The world is vastly messier than engineers like to assume, and every real world trial I’ve seen requires massive human babysitting of a robot by humans for it to last any length of time or be useful at all.
And we’re not talking about AI type stuff, but corrosion, terrible field conditions causing sensor issues (mud, sap, dirt/dust), power management issues, communication disruption due to terrain, enemy action, etc.
I watch enough Futurama&Terminator to know it's "kill all humans"
The safety brief is supposed to motivate you to work safely so maybe they need to work on how they present it. I saw a couple of colleagues injured in my old job (EMS) but only seen a member of the public decapitated.
I got lit up by 277/480 when I worked as an electrician because someone removed a lockout and turned on the breaker.
In any case, not all jobs can have the power turned off.