> If anything, it should make me more optimistic, not less. If you have an idea, you can turn it into product within 30 minutes, no matter how complicated it is.
There is no product in that anymore because someone else could copy your product in the same time.
This fallacy is second to only every SME believing their jobs are going to be the jobs AI can't replace.
You have QA engineers chiming in about how "QA" isn't going anywhere.. On threads talking about code, tests, and PR reviews being completely automated.. PR reviews being a quality assurance activity..
Cancer deaths are going to sky rocket before this is all over.
Give it some time and you'll be adding to that list.
In every war, countless innocent people die due to mis-targeting or other failure modes. At times the casualty count there exceeds military deaths. It is so common that we have a term for it: collateral damage.
So the question is: does AI lower such damage?
If AI had not been used in the attack on Iran, history indicates the death tolls in this regard would likely been much higher.
Not making a political statement or implying support for the war. Just making a point that these comparisons are more complicated that your example.
I guess my wording was really bad. The point I was trying badly to make: I wasn't thinking about cell-level stuff, but rather human-level observations, experiments, etc. and these are not possible in a lab but only out in the "real world." I don't see AI running anything on that level.
edit: that would be more like medicine, not bio-science
https://learn.hms.harvard.edu/insights/all-insights/how-arti...
Yes, detection with AI is obviously already superior to doctors, but on research I remain skeptical.