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Comment Re:Your biggest screw up (Score 1) 452

Reddit was started as an experiment in free speech.

Wait, what?

I recall Alex coming on Slashdot a lot to promote Reddit when he first launched it. "An experiment in free speech" was not anything I recall being discussed. I also remember him posting on Slashdot while still developing reddit.

What I recall, is promotion of a general interest platform that was more open than Slashdot (unlimited moderations for all!) and less susceptible to vote brigading than Digg.

It was while ago, so I may be a bit foggy on the specifics.

Comment Re:Dwindling airable land? (Score 1) 279

I think what the Libertarians fail to realize is that farmers, as a general rule, are not smart enough to diversify or maintain course.

First, I think that's a ridiculous assertion. Smart farmers don't diversify because the taxpayers bear the risk of their crop failure, or of crashing prices; they have insufficient incentive to diversify.

Second, if we had a true free market, dumb farmers would go out of business and we would be left with smart farmers allocating resources efficiently. Isn't that the point of economic libertarianism?

Note: I am far from libertarian.

Comment Re:So does this qualify as 'organic'? (Score 1) 279

What do you mean by cyclical? Do you mean the livestock/fertilizer/crop/fodder cycle? Do you mean crop rotation? Or something else entirely?

Just curious, since I'm not aware of either cyclical production or crop rotation being a requirement for organic farming (although both are considered best practices).

Comment Re:Infrastructure or the lack thereof (Score 1) 688

I live in an apartment building and there is no wiring in the parkade. Nor is there any requirement (or incentive) to retrofit the building.

Law in California says landlords can't refuse to allow you to install EV charging infrastructure. You'll have to foot the bill, but they can't say no:

http://pipedot.org/story/2014-...

Comment These stories suck they need to fit the format.... (Score 1) 38

Machine Learning System can detect X with such high accuracy and with so few false positives as to be actually useful.

Frankly detecting X is basically defined as getting better than random chance. If you decide that anybody who posts "I am so sad" is suicidal, you'll bound to get a few hits, so there. I developed an algorithm that can detect suicide and depression. The problem here is that it's useless unless it's really really accurate.

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