It does! Very dramatic part of the book.
I apologise for questioning if you read the comments.
It’s 2.2 billion dollars - but it’s using fully diluted value rather than circulating supply market cap.
It's absolutely more of a reflection on crypto.com than the solana blockchain (which is functioning normally).
Unfortunately in crypto transaction limits can be easily bypassed (send more transactions or spin up more accounts). Some good risk controls suggested here though:…
Issued by Circle
Solana has a higher nakamoto coefficient than ethereum. It’s faster due to higher base validator requirements and technical improvements (such as proof of history, etc). Which makes sense as it’s a newer chain.
What would you use to solve the system? Iterative methods or gradient descent even?
A good proportion (often all) of C-level insurance executives were actuaries that moved up the ranks. I would say it has quite good advancement opportunities.
Absolutely, great points. I think there could be scope to use ML on the pricing side however, while leaving the reserving models explainable to regulators.
@anakic I have used excel as a data source using VBA before so one problem I had there that I'm curious how you approached was how to automatically determine data types? IIRC the ODBC engine in VBA scans a set amount of…
It does! Very dramatic part of the book.
I apologise for questioning if you read the comments.
It’s 2.2 billion dollars - but it’s using fully diluted value rather than circulating supply market cap.
It's absolutely more of a reflection on crypto.com than the solana blockchain (which is functioning normally).
Unfortunately in crypto transaction limits can be easily bypassed (send more transactions or spin up more accounts). Some good risk controls suggested here though:…
Issued by Circle
Solana has a higher nakamoto coefficient than ethereum. It’s faster due to higher base validator requirements and technical improvements (such as proof of history, etc). Which makes sense as it’s a newer chain.
What would you use to solve the system? Iterative methods or gradient descent even?
A good proportion (often all) of C-level insurance executives were actuaries that moved up the ranks. I would say it has quite good advancement opportunities.
Absolutely, great points. I think there could be scope to use ML on the pricing side however, while leaving the reserving models explainable to regulators.
@anakic I have used excel as a data source using VBA before so one problem I had there that I'm curious how you approached was how to automatically determine data types? IIRC the ODBC engine in VBA scans a set amount of…