alt Hacker NewsBeen thinking of this mental model held by some "oh ai coding is always bad etc etc" (fair we all allowed opinions).
But why are we okey with colleagues making from time to time terrible blunders (hey we all human ). But when ai makes mistakes its a sweeping judgment of "oh ai coding is terrible".
We seen to not include all the amazing code they do right and security bugs they do find..
I feel if it was a human or colleague we be more fair with its failure and balance about his/her achievements also.
Just a thought.ymmv
Replies
When LLMs make mistakes, it is still the human making the mistake of trusting the LLM. And more often than not "AI" is hailed as costing no effort and being perfect in every way (yes exaggerated), which you can attack when it obviously is going to fail at some point.
AI mistakes are due to pure laziness and incompetence that appears well done. There’s a big difference between that and a genuine mistake from a knowledgeable person.
Because AI can't take responsibility. Humans can.
A human can not only learn from their mistakes and blunders but also, until very recently, the social pressure and fear of judgement would push (some) humans to try their best.
Now however, it is less socially acceptable to judge a human for mistakes made with AI coding because we are in a time of experimentation. So the blame has to go towards AI coding. Of course, coding with AI can be acceptable, if the human using the AI is rational and responsible.
But I think the bigger implicit point is actually that perhaps experimentation shouldn't be done on real projects and products as nonchalantly.