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by Kranar 1983 days ago
I mean if you spent decades running a large product team that develops accounting web apps, would you expect to be able to read and interpret a description of product related to bio-informatics, or neurotechnology?

If you spent decades working on video game graphics, would it surprise you that someone describing algorithms for sophisticated quantitative finance or high frequency trading use terminology you're not familiar with, including an abundance of words literally borrowed from the Greek language?

Information technology is an absolutely massive field that is finding more and more use cases every year, it shouldn't be a surprise that there are areas of it that you're not familiar with and would need to devote a substantial amount of time to become well versed.

As someone who has spent a decent amount of time understanding cryptocurrencies, it's not really all that much different from learning any other field. You can start with some Youtube videos, read a few blog posts, heck you can even spend a couple of weekends writing your first smart contract and deploy it to Ethereum to see how it works. My first side project on Ethereum was writing a decentralized poker game, I wrote a series of smart contracts based on the theory of Mental Poker [1] and deployed it to the test net, and then wrote a web front end for it that waited for a new block to get published, parsed it and displayed it. It was pretty cool, once you deploy your smart contract to the blockchain, it's kind of magical seeing a completely decentralized system of computers bring that code to life. Like once you deploy your code, that's it, it's entirely out of your hands from that point forward and there's this engine that takes it and keeps it chugging literally for as long as there are miners willing to operate the Ethereum network.

Everything is a mystery until you take the time to learn it.

[1] https://en.wikipedia.org/wiki/Mental_poker

1 comments

I don't know if that argument works for finance on a moral level, where vocabulary has historically been abused to confuse and bamboozle