There's legitimate crypto stuff…it's just not interesting
I know what you meant when you wrote that, but the second meaning (not interesting => no added value) is significant as well. After 15 (!!) years nobody seems to have found an application that causes people to say “hey, I’ll switch to that [despite the early adopter limitations true of any new tech] because the benefits are so huge for what I do”. Well, except crimeing of course.
The only “success” of your list was a wallet. Enabling tech is pretty thin gruel. I mean, compilers were/are successful, but the real story is the programs people run through them not the compilers themselves.
Sure, it's a fairly useless right wing technology mostly in the service of the ideologies of Von Mises and Austrian Economics but we're all adults here.
Good things can come from anywhere. Stanford, for instance, was founded after a dream where a ghost of a guy's dead teenager appeared (who bears the namesake of the institution[1]) and was initially run by his wife who made her executive decisions by talking to spirits over oujia boards but it'd be foolish to hang that around the instution's neck today and dismiss its contributions.
In the same way, crypto work might have indirect long lasting positive impacts in things such as CPU efficiency, chip design, algorithm research, parallel computing, and machine learning with specific focus on time-series. We should be able to look past the Do Kwon fiasco for that.
[1] it's officially "Leland Stanford Junior University" - who was the ghost - read "Who Killed Jane Stanford?" for more info https://wwnorton.com/books/9781324004332
crypto work might have indirect long lasting positive impacts in things such as CPU efficiency, chip design, algorithm research, parallel computing, and machine learning with specific focus on time-series.
I cannot see any connection between Markel tree algorithms and chip design (or any of the other domains you mention). Can you point me to such work in these areas?
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There's legitimate crypto stuff, as in institutions where people aren't just trying to do crime, there's no story there though.
Here's some dull headline examples:
* Brave attempts to reward creators with a Basic Attention Token, mostly flops.
* Open source MetaMask project creates reliable software used by many.
* Litecoin founder sold all coins due to a perceived conflict of interest.
The crazy SBF, cult ponzi scheme of Celsius or the insane financial Michael Milken Tether stories are just better content.
But let's be accurate and not deny the complexities of reality for narrative expediency. Vitalik Buterin, for example, probably not a criminal.
I know what you meant when you wrote that, but the second meaning (not interesting => no added value) is significant as well. After 15 (!!) years nobody seems to have found an application that causes people to say “hey, I’ll switch to that [despite the early adopter limitations true of any new tech] because the benefits are so huge for what I do”. Well, except crimeing of course.
The only “success” of your list was a wallet. Enabling tech is pretty thin gruel. I mean, compilers were/are successful, but the real story is the programs people run through them not the compilers themselves.
I agree that Buterin is probably not a criminal.
Thanks!
Sure, it's a fairly useless right wing technology mostly in the service of the ideologies of Von Mises and Austrian Economics but we're all adults here.
Good things can come from anywhere. Stanford, for instance, was founded after a dream where a ghost of a guy's dead teenager appeared (who bears the namesake of the institution[1]) and was initially run by his wife who made her executive decisions by talking to spirits over oujia boards but it'd be foolish to hang that around the instution's neck today and dismiss its contributions.
In the same way, crypto work might have indirect long lasting positive impacts in things such as CPU efficiency, chip design, algorithm research, parallel computing, and machine learning with specific focus on time-series. We should be able to look past the Do Kwon fiasco for that.
[1] it's officially "Leland Stanford Junior University" - who was the ghost - read "Who Killed Jane Stanford?" for more info https://wwnorton.com/books/9781324004332
I cannot see any connection between Markel tree algorithms and chip design (or any of the other domains you mention). Can you point me to such work in these areas?
Work in crypto mining efficiency? That's a pretty substantial field.
I don't do it personally but I know there's lots of research, products, companies and investments in it.