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Comment by flukus | Hacker News Reader

Flirting has a high signal to noise ratio.

There are also many issues with unintentional signalling.

Seems like the sort of problem a deep neural network would be great for. I've already got some good hardware for it, but I'm a little apprehensive about acquiring enough training examples.

Just put together a research pool so you can generate a solid baseline. I'm sure you could use Amazon Mechanical Turk to get a large number of able participants at minimal cost to your wallet and pride.

It is for people that aren't socially adept (which one can learn btw) and this is of course also one important criteria for sexual selection.

My view is that it is not in the interest of women (who mostly do the selecting while men do the approaching) to use a process for selection that obfuscates if the approaching person is socially adept or not.

It is maybe just my experience, but generally women do know which men are interested and which are not, even if the male didn't make an approach yet.

Do you have a set of suggested resources for learning to be social adept. Its too late for me, but I am hoping to teach it on to my version 2.0 systems.

https://en.wikipedia.org/wiki/How_to_Win_Friends_and_Influen...

A good start.

Long story short: use their names and feed their egos. Ignore all the stuff about sincerity and real connection, since the author does.

I called it a 'good start' for a reason. Obviously there is a lot more to social success than charm and flattery, but they are important regardless.

You could say that if you've made it to v2.0, you have already been evolutionarily selected in your favor.

If you have version 2.0 systems, how'd you do that without being socially adept? Did you adopt them as a single person or something?

If you've managed to convince someone to procreate with you (and multiple times at that, apparently), then you're by definition socially adept.

Try practice?

That's the whole point. The noise provides plausible deniability.

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