895 karma · joined November 16, 2015
There are about 100 million cows, and if about 30% of those feed pets the numbers come out similar.
There are also pigs and chickens, and depleted river fish/wild fowl populations.
Wolves/bears are heavier so the same mass of prey supports a smaller population. Still, I think we'd be in the same order of magnitude.
Edit: actually I might be an order of magnitude off, depending on the length of life. If cows live a year before slaughter, vs bison living 10 years. No idea what the real numbers are.
Our diet of fruits and vegetables has been refined through thousands of years of trial and error, and the result is that we eat a tiny fraction of available plants. It's arrogant to dismiss that history.
I understand why you preferred to make more money, but what made it necessary?
You would need real-looking bot accounts that you'll use to scrape. You'd need a realistically randomized rate limit, sampling from some distribution conditional on the type of the source page. You'd need realistic mouse/keyboard movements. Realistic hours of operations. Can't be scraping at 4AM and 4PM, and all of the hours in-between. Occasional noise operations, such as searching for a job, or getting salary estimates. You'd be geographically constrained. You wouldn't want your bot from Boston to be looking at too many individuals in Houston (regularly). Maybe you'd use a Markov chain to have the bot make decisions? I doubt the blackhats would have good training data for a neural net. You'd need tens of thousands of these bots to cover the linkedin user base in reasonable time (say, once every week on average), and these bots would have to either overlap or seriously underlap on who they cover.
Best use case would scraper-API that you can use to look up batches of specific people, with your bots looking at others only to look realistic.
(Or maybe not? It's a fun question, but I know fuck all about this. Not my area of expertise.)
What approach did you take to ID mushrooms? Model -> mushroom? Or Model->feature->mushroom? What kind of model?
Where did you get your training dataset?
Definitely add a big loud warning on the home page that this isn't a reliable.
My primary care doctor has a human scribe. The scribe is a recent graduate (BS), planning on going to med school next year. Being physically in the room, watching the doctor work is a great benefit to her. I'm not sure she'd benefit as much from watching a live stream.
Additionally, as a patient I wouldn't be comfortable being recorded.
>“When two-thirds or three-quarters of the CEOs in Silicon Valley are from South Asia or from Asia, I think...” Bannon said. “A country is more than an economy. We’re a civic society.”
http://www.huffingtonpost.com/entry/steve-bannon-disgusted-a...
An example: I run a vm that exposes mysubdomain.azure.com, can I turn on ssl at that level? A google search says "no" but I figure this is a place where someone might have a workaround.
You should explain why that number is critical, what happens before, what happens after.
Second, there wouldn't be so many H1B applicants if there were other ways into the US.
What would it add that the choice of university and major doesn't? The math kids at MIT aren't so different from each other.
Or let's go back to the Paris example. If everyone is paying the most they can afford, that leaves less money on the table for restaurants, cheese and wine when actually in Paris. It's 'great' if you only look at the market dynamics of flights and ignore the economic/social benefits of cheap travel.
On the whole I think this information needed to get out. There were reports of people all over the US being dropped from voter registration rolls, and now proof that the Russian military targeted voter registration companies.
I've not seen the argument that they should be suspended as much as that they are. "Really important" just means that demand is inelastic.