user1324345

How is this different than just using s3?

these metrics are always pure garbage. Someone comes up with an equation like:

(start salary) + (median salary) + .5 * (job availablilty) + .75 * (growth) ... etc

then they rank everything, tweek it, make an article.

The scary part is people will read this and parrot this information for potentially years, "did you know actuary is the best job???"

This is actually how misinformation spreads.

Gotta be a startup opportunity somewhere here

Nothing is ever as it seems with people. Public perception and our methods of assigning legitimacy to public figures is deeply flawed. How any public individuals are we incorrectly demonizing? How many bad ones do we think are good? Surely more than we are currently aware of.

Are you guys aware that major corporations i.e. T-Mobile and Sprint are selling app usage data to hedge funds? Forget the popular apps recording this, major telecommunications companies are selling it.

I've noticed this as well, the algorithm hones in on a few topics and videos. Interestingly enough, so does the algorithm on the Quora app. I hate this behavior, I want to use a recommendation algorithm to discover new similar content. My guess is that a "new similar content" algorithm doesn't get the same levels of engagement. Maybe its the same as radio stations playing the same twenty songs on a loop.

Clearly google knows what their doing, its just disheartening that this algorithm is the best for engagement. Also makes me wonder about human habit and reinforcement...

Sorry the developer wasnt thinking of you

Apparently facts are "partisan flamebait". I would be happy to write an NLP bot that parses your moderation and exposes political bias on this website. Consider an experiment where I post biases from either side, recording your respective responses and A/B test this websites moderation.

NLP bots to influence political issues on the internet

Not being able to get 100% of the small edge cases the first time on complex algorithms problems.

--every large tech company