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jcaldas
searching Neon…
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7 ms
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1.
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by
jcaldas
3y ago
As Oscar Wilde wrote, "We are all in the gutter, but some of us are looking at the stars".
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by
jcaldas
3y ago
I have always seen Ivy League admission controversies as stemming from the fact that the number of "perfect" (as measured by objective criteria) candidates is so high versus available spots, that there are only two solutions: * Se
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by
jcaldas
5y ago
In my opinion, regulators have a too-big-to-fail problem here. Tether is known to be used for artificially inflating the crypto market in collusion with certain exchanges. There is a lot of documentation on this, the following two articles
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by
jcaldas
5y ago
If anyone here is interested in Vietnam war photography, I highly recommend the book Vietnam Inc., by Philip Jones Griffith (1971).
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by
jcaldas
5y ago
Lukashenko will not go down without a fight, and Russia is very unwilling to see a color revolution again next to its borders. Putin dreams of annexing Belarus. Couple this with the EU's overall weakness and fragmented interests (eg no
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by
jcaldas
5y ago
There is a far more eco-friendly alternative to proof-of-work (PoW) called proof-of-stake (PoS). I wonder if a serious discussion will finally begin on moving Bitcoin to PoS. This will certainly have a strong opposition and will likely lead
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by
jcaldas
6y ago
As you can see, buys make this worse, sells make it better. Robinhood could not execute buys, because it would increase the deposits they'd need, which they legally must obligate by. Sells, on the other hand, do not have this problem.
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by
jcaldas
6y ago
Chechnya after the 1994-1996 war is also an excellent example.
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jcaldas
7y ago
Awesome. How easy would it be to generate a corresponding interactive 3d environment?
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jcaldas
8y ago
I suspect Ethereum itself may provide a feasible basis for supporting open, transparent research.
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jcaldas
8y ago
> Is this something you witnessed going down in person, or did you just develop a strong feeling given a lot of clues? The latter.
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by
jcaldas
8y ago
It's somewhat heart-warming to read the comments here about machine learning. I did my PhD in machine learning from 2007 to 2012, and the main reason I left research was because of the widespread fraud. Most papers reported an improved