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.
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.
The work is was doing in big tech was pretty far from anything that would help people in any tangible way.
The money isn't as good but the office view is way better.
I'm glad to see very poor coverage for transportation jobs on the AI benchmarks. May that continue until I'm done flying, at least AI probably won't ruin that for me any time soon.
No offense but pilots are probably at peak automation since their job has mostly been reduced to being a glorified AutoPilot system babysitters mainly needed for regulatory hedging. The ground transportation is still fair game though.
I'm not sure how the news being delivered by a carbon-based pilot would help with the dying part but I guess hospice care exists for a reason.
Wow. You clearly have zero idea of what a pilot's job is, and it shows.
You are also severely underestimating how much work and regulation would be required to replace pilots. And this work can be undone in a flash the first time automation messes up.
Also note that plane automation heavily relies on sensors. Many plane accidents were caused by faulty sensors even with humans in the loop.
How can software engineers maintain a healthy "manual programming" skill set? What employer would be willing to pay for so much wasted time for their software engineers to do deliberate training courses, or willing to accept the productivity loss from their engineers occasionally working manually for practice, when working manually is so much slower?
Of course many software "engineers" are nothing more than plumbers/electricians with data and that cohort is being quickly pushed out by AI. And our industry in general has conflated technicians and engineers which makes this worse.
But fundamentally, engineers job is to model the problem from the first principles and then apply that model to whatever problem. Technicians operate within the model, so I postulate anyone considering themselves an engineer is fundamentally a more capable electrician, plumber, carpenter, whatever than any master tradesperson.
I'm not speaking as someone that changed an outlet once and thinks they are now an "electrician". I have two decades of extensive property maintenance experience. I do everything myself and since my state does not allow pulling permits without licensure, I hold myself to commercial standards minimally. So EMT, MC, trapezes and gutters, no romex crap. Similarly, I will likely outsolder and outthread at least the current generation of "plumbers" that only know how to press things.
What I'm saying is extremely evident in any electricians' forum where its obvious that electricians just do not understand why is NEC written certain way. Then there' usually some "oracle" on said forums "deciphering" what the code is, despite it all being a pretty basic and coherent spec.
Also adding a new circuit to a panel is different than extending one from inside
I don’t do the work myself.