Because most automations never capture the complete scope of the job/task ( not even close ). Just like neurons, if you don't use it you lose it and when the inevitable problems come, nobody knows the why, the how and the what. At that point someone smart would incorporate all those real costs and opportunity loses on the "automating everything" equation. But they usually don't.
Of course automating tasks is a must, but it's very far from being a black and white situation. These dynamics have been happening for centuries by now, nothing new.
<< Because most automations never capture the complete scope of the job/task ( not even close ).
Management likes to think otherwise for a variety of reasons and peons such as myself know it is rarely that simple. Case in point, our team uses Jira, but Jira is not great at.. capturing efforts that are umm.. less code oriented. In fact, there are times when it is genuinely better to leave some details out for considerations that may simply not be part of coding considerations.
In other words, automation assumes proper capture of the entirety of the task, but, I have seldom seen it capturing anything but simple workflows well.
I agree with that, and that’s why it’s better to ask an AI and improve your prompt, instead of hiring a human that will disappear and you will loose all institutional knowledge
The risk of hiring a hunan is easy enough to manage. Ensure that the process is documented and new hires are trained. Any disturbance by someone leavingg is then smoothed out in the long term.
Can you show us how it’s better to use an AI to ensure steadiness over a long period of time?
You only have as much institutional knowledge as you're willing to cultivate and be liable for. Many companies already don't give a shit about institutional knowledge, indicated by how little they're willing to invest in keeping a strong team together, caused in-part by long-standing toxic incentive structures.
Ask an AI to solve a problem and it may do that, but if you don't understand why or how it works, or what to do with the information in order to keep it useful for even the medium term, then all you've done is taken away the opportunity for someone else to be responsible for something you shouldn't be.
It's not necessarily a mystery how to make good food. You can ask an AI how to make good food, follow the instructions, and you're off to the races. The question then is whether you want to be in that race.
Would you have gone to chef school? Would you work in a kitchen? Are you willing to deal with customers, or risk RSI from so many repeated kitchen movements? Are you willing to practice and be tested?
If the answer to any of those is no, then get the hell out of that kitchen and let the people who have more grit than you do their job. Do what you can to make it easier for you to pay them consistently and well on the back-end.
Yes when the sole purpose is to remove the livelihood of people in an attempt to make short term gains for selfish short term reasons....AI is a weapon when you have corporate stooge lackies who have nothing but animous towards fellow humans who dare to work...and try to live. If AI was beneficial, no one would profitize it....but lbr...you know that...
If AI is not beneficial, then those humans could be re-hired soon.
Big companies are always doing bad things, but not because they use AI, because they have legal protections which prevents small companies (which could be anyone like you and me) to compete. The same small companies who could also benefit from using AI.
Depends on the scale and the technology. If the answer is "all of white collar workers" then I would argue it's very toxic. (I don't think it can do that, but it's hard not to get the impression that it's absolutely the goal). I haven't really heard of a stable society with 50% unemployment and zero social safety net.
I don't think anyone ever really believed it would replace ordinary jobs. That angle was meant to appeal to emotion and distract the public from the shady deals and big defense spending.
Think about all the security clearances no longer required to aggregate big data into intelligence reports. The conditions and incentives for LLMs seem almost laser focused on replacing those particular jobs.
It wasn't but ~20 years ago that people were concerned about Google slurping up all the world's data into spying programs. Now that the hardest part to hide is happening, people have forgotten or assumed it already had. Many other smaller and far less capable businesses have come and gone and taken tiny bits of blame until the public was satisfied they knew who the "real" scapegoats were. What they really had were overcomplicated theories built on a nebulous cloud of debatable evidence that led nowhere. This is how it succeeds in plain sight every time.
Clearly not what is being said. If you read dehumanizing your workers and equate it with automating a job, then you're already well into the feeling that humans are fungible pawns to be disposed of, no?
Instead, you can and probably should see technology as augmenting you and your coworkers.
I don’t think humans workers should be cogs in the machine, but from my experience unfortunately that’s how people want to be treated. One simple explanation is that there is no freedom / creativity without responsibility, and the latter is extremely expensive in brain resources
Automating a stamp mill that fed 50 families does not obviously correlate with human progress. I'm sure it's nice for an auto manufacturer's bottom line though.
Because most automations never capture the complete scope of the job/task ( not even close ). Just like neurons, if you don't use it you lose it and when the inevitable problems come, nobody knows the why, the how and the what. At that point someone smart would incorporate all those real costs and opportunity loses on the "automating everything" equation. But they usually don't.
Of course automating tasks is a must, but it's very far from being a black and white situation. These dynamics have been happening for centuries by now, nothing new.