They did this the last 999 times and always came to the same conclusion: that the AI promoters were talking nonsense. At what point should you stop listening to people who only talk nonsense so far, to avoid getting DoS attacked? Must the villagers look for the wolf every time the boy cries?
No. But when the wolf experts announce that there are a dangerous number of wolves - and you ignore it - that's a problem.
The people writing this article are experts. They cite other experts.
If you can cite real data from the last few months that still claims there are no wolves - and it's not just insane anti-wolf propaganda - I'd love for you to show me.
> The people writing this article are experts. They cite other experts.
"Economists have predicted 18 of the last 2 recessions".
I mean, c'mon! You have never read that?
Besides, when "expert in $FOO" means "familiar with $FOO that's only 6 months old", then it's not unreasonable to be skeptical.
In other fields, an expert is someone who's studied the specific field $FOO for decades. Here we're talking about a skill level that is not distinguishable between "1 weeks experience" and "two years experience".
Let's return to actual data: the article we are discussing is experts claiming that AI should be used to report errors in software.
Do you have data to support your side?
EDIT: I did a little research. These projects accept AI contributions: Python, NumPy, SciPy, pandas, scikit-learn, Django, Kubernetes, the Linux kernel, Firefox, Flutter, Homebrew, curl and PyTorch.
Why do you think they do, if it's such a bad idea? Are they all idiots? They have no idea what they're doing? Linus? Really?
