Not everyone has 100s of hours free time to sink into this and that skill
That’s life, buddy. Nobody can learn everything, so communities rely on specialists who can master their craft. Would you rather your doctor have 100s of hours of study and practice, or a random person off the street with ChatGPT? If something is worth studying for 100s of hours, then there’s more nuance to the skill than any layman or current AI system can capture in a few sentence prompt.
What kind of nonsense comparison is that? Somewhat off topic, borderline straw man.
People still have their job, better tools enable people to do more things in their free time. Some even switch professions later on, once they have enough experience. Lowering the bar (invest, skill, …) is simply a good thing.
I personally have spent those 100s (actually more like 1000s) of hours studying Software Engineering, and I was doing my best to give an example of how current AI tools are not a replacement for experience. Neither is having access to a sewing machine or blowtorch and hammer (you still need to know about knots and thread / metallurgy / the endless amount of techniques for using those tools).
Software in particular is an extremely theoretical field, similar to medicine (thus my example with a doctor).
ChatGPT is maybe marginally better than a simple web search when it comes to learning. There is simply no possible way to compress the decade of experience I have into a few hours of using an LLM. The usefulness of AI for me starts and ends at fancy auto-complete, and that literally only slightly speeds up my already fast typing speed.
Getting a good result out of AI for coding requires so much prerequisite knowledge to ask the right questions, a complete novice is not even going to know what they should be asking for without going through those same 100s of hours of study.
Without chatGPT I could not have repaired things where I simply threw the datasheet at it and got code to reprogram it, like for an BMS.
I could not digitize data streams by sniffing I2C.
I could not use computer vision to decode a display.
I could not make control and data logging interfaces for machines, turning decade old shit into good-as-new just based on their serial interface.
Etc. Etc.
That’s life, buddy. Nobody can learn everything, so communities rely on specialists who can master their craft. Would you rather your doctor have 100s of hours of study and practice, or a random person off the street with ChatGPT? If something is worth studying for 100s of hours, then there’s more nuance to the skill than any layman or current AI system can capture in a few sentence prompt.
What kind of nonsense comparison is that? Somewhat off topic, borderline straw man.
People still have their job, better tools enable people to do more things in their free time. Some even switch professions later on, once they have enough experience. Lowering the bar (invest, skill, …) is simply a good thing.
I personally have spent those 100s (actually more like 1000s) of hours studying Software Engineering, and I was doing my best to give an example of how current AI tools are not a replacement for experience. Neither is having access to a sewing machine or blowtorch and hammer (you still need to know about knots and thread / metallurgy / the endless amount of techniques for using those tools).
Software in particular is an extremely theoretical field, similar to medicine (thus my example with a doctor).
ChatGPT is maybe marginally better than a simple web search when it comes to learning. There is simply no possible way to compress the decade of experience I have into a few hours of using an LLM. The usefulness of AI for me starts and ends at fancy auto-complete, and that literally only slightly speeds up my already fast typing speed. Getting a good result out of AI for coding requires so much prerequisite knowledge to ask the right questions, a complete novice is not even going to know what they should be asking for without going through those same 100s of hours of study.
Without chatGPT I could not have repaired things where I simply threw the datasheet at it and got code to reprogram it, like for an BMS. I could not digitize data streams by sniffing I2C. I could not use computer vision to decode a display. I could not make control and data logging interfaces for machines, turning decade old shit into good-as-new just based on their serial interface. Etc. Etc.