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Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
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Facebook Developer Conference, via Casey Newton.
Welcome to Dan's post-apocalyptic cafe! Finest service in all of NeoProvidence.
đđŻđľ Tokyo!
But instead of helping process the thousands of donors who showed up to help the victims of Sunday's mass shooting, Ayala himself became a victim of the gunman who attacked the Pulse nightclub in Orlando.
Rodolfo Ayala: Blood bank employee - Orlando Sentinel
You will cry, but you have to read these profiles.

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Everyone who walked through the doors of Pulse last night showed up pre-terrorized. Fifty people and counting survived a lifetime of cultural terrorism, and then lost their lives in an instant because someone was angry at two men kissing.
What It Costs to Be Gay in Public - Dave Holmes on Orlando Shooting
The trimmings of the 19th and 21st centuries
Some of my characters are, no doubt, pretty beastly, but I really don't care, they are outside my inner self like the mournful monsters of a cathedral facadeâdemons placed there merely to show that they have been booted out.
âVladimir Nabokov
Most Startups Aren't Crap
VCs say the darndest things.Â
Mostly, their jabs and knocks against founders and others VCs are kept behind closed doors. But, occasionally, theyâre aired publicly. In the national press.
Like this little gem:
Right now, most of the things VCs have funded are mostly crap and largely worthless.
The cynical reading of this might be that every other VC, save for Chamathâs, is funding crappy startups.Â
But, thereâs another way to think about this brash comment that might be more constructive; namely, this:
VC is crap for most startups.
This shouldnât come as a surprise. Or even be controversial.Â
The data is pretty clear. And tho we celebrate the .07% of VC backed companies whoâve reached Unicorn status, we often dismiss the remaining 99.93% as collateral damage on the road Disruptiontown.
And thatâs too bad.
Many of those failed startups represented sincere aspirations from founders to put their own unique dent in the universe. What theyâd hoped would be a painkiller in raising VC money to solve some short term challenge around hiring, or sales or growth quickly turns into a gateway drug. And VC money is a powerfully addictive substance.
As with drugs, and as the data highlights, VC money tends to ruin far more companies than it saves.Â
Rather than heaping blame on âcrappyâ startups for diverting precious VC dollars from the truly worthy agents of disruption, perhaps VCs should get real about the crappy product theyâre offering startups.Â
Now, thatâs a Vanity Fair article Iâd like to read.

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When you have large amounts of data, your appetite for hypotheses tends to get even larger. And if itâs growing faster than the statistical strength of the data, then many of your inferences are likely to be false. They are likely to be white noise. In a classical database, you have maybe a few thousand people in them. You can think of those as the rows of the database. And the columns would be the features of those people: their age, height, weight, income, et cetera. Now, the number of combinations of these columns grows exponentially with the number of columns. So if you have many, many columnsâand we do in modern databasesâyouâll get up into millions and millions of attributes for each person. Now, if I start allowing myself to look at all of the combinations of these featuresâif you live in Beijing, and you ride bike to work, and you work in a certain job, and are a certain ageâwhatâs the probability you will have a certain disease or you will like my advertisement? Now Iâm getting combinations of millions of attributes, and the number of such combinations is exponential; it gets to be the size of the number of atoms in the universe. Those are the hypotheses that Iâm willing to consider. And for any particular database, I will find some combination of columns that will predict perfectly any outcome, just by chance alone. If I just look at all the people who have a heart attack and compare them to all the people that donât have a heart attack, and Iâm looking for combinations of the columns that predict heart attacks, I will find all kinds of spurious combinations of columns, because there are huge numbers of them. So itâs like having billions of monkeys typing. One of them will write Shakespeare.
Machine-Learning Maestro Michael Jordan on the Delusions of Big Data and Other Huge Engineering Efforts - IEEE Spectrum
The strange thing [with VR] is that normally, in the history of culture, we have new stories and narrations and then we start to develop a tool. Or we have visions of wondrous new architectureâlike, letâs say, the museum in Bilbao, or the opera house in Sydneyâand technology makes it possible to fulfill these dreams. So you have the content first, and then the technology follows suit. In this case, we do have a technology, but we donât have any clear idea how to fill it with content.
Werner Herzog Talks Virtual Reality - The New Yorker
A lot to love in Brasilla, interior-wise this Modernist confessional đŻđĽ (at Catedral de BrasĂlia)
Late work night at Beme HQ = Katz's delivery
Sydney (left), Pacific Ocean (right), Dad (center)

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Melbourne is all about alleys and arcades (at Degraves Laneway, Melbourne)
"I've been here 12 years and it's disgusting," said Janine Whiteson, mother of a fifth grader at the school. "We have 650 kids, and most of them are really little. Who knows what kind of people will come in. It's disgraceful."
A mother describing the terror wrought on an NYC block by ... bicycles.
Citi Bike Station in UES School's Play Space Is a Hazard, Parents Say - Upper East Side - DNAinfo.com New York