- Artificial Intelligence
- Machine Learning
- Neural Networks
- Blockchain
Then just expound and brainstorm freely, in a stream of consciousness, for ~60 minutes, and it practically writes itself. “More often than not, she relies on charts, graphs
and quantitative analysis as a foundation for a
decision, particularly when it comes to evaluating
people … At a recent personnel meeting, she homes in
on grade-point averages and SAT scores to narrow a
list of candidates, many having graduated from Ivy
League schools, … One candidate got a C in macroeconomics.
“That’s troubling to me,” Ms. Mayer says.
“Good students are good at all things.”
Kind of a stunning misconception right there. A person only needs to look in the mirror, to invalidate such an idea. ...with just 500 likes the social network can
insinuate more of your personality than your
lover.
...and get absolutely everything wrong with such assumptions in the process, including whether or not it's possible to lie when using the Like button. The notion that software engineers are not
responsible for things that go wrong will be
put to rest for good.
I'd have to say that this sort of high-minded platonic concept needs some revision. The notion that *some* software engineers *cannot*
be found as responsible (in part or in whole)
for *some* things that go wrong will be
put to rest in *some* situations.
There needs to be a degree of responsibility ascribed to some classes of systems development.
It's like stumbling into elevator after elevator, while running the hundred yard dash at top speed, everywhere you go, only to encounter the perfect dance partner to fall in love with at first sight.