nytf3
The beginner equipment is more likely to get you hurt by breaking, and the bearings will be very very slow.
For other sports, running/biking/skiing/etc I think this difference is not as pronounced.
but today if you described implementing a gossip protocol with nanos features (permissionless decentralization, 0 fees, <1s tx), many people would say it is impossible, but here we are with a 4 year mainnet with no serious issues
the user and the miner are colluding (or the same party). the user does not broadcast their tx publicly, only sending it to the colluding miner. since fees have no utxo history, this essentially launders the eth
https://www.lynalden.com/global-dollar-short-squeeze/ (02/20/20)
https://www.lynalden.com/great-depression/ (03/12/20)
https://www.lynalden.com/quantitative-easing-mmt-inflation/ (05/01/20)
i still think the nano (formerly raiblocks) approach is cool - it scales by running parallel blockchains - each wallet is its own chain. tx's between chains are voted on weighted by % stake - dpos without lockups or slashing. this way its not a competition for space in a single ledger, its competition for voting bandwidth on the worst marginal node. a better tradeoff imho. downsides: the ledger also grows larger quicker than btc (because theres no 7tps limit so you can spam it)
no voting rewards or inflation - theres no on chain incentives for voting at all, but exchanges/pos need to run full nodes to validate ledger anyway and voting is trivial bandwidth. its elegant and the security model works but its hard to tell people about without coming across as a fanatic.
In college I wrote a term paper on breaking Microsoft's captcha (which is a little harder but not by much) twice: first with a simple template-based classification method and then a CNN approach.
https://www.dropbox.com/s/jfp5xbv3eh589f6/6_857_CAPTCHA.pdf?...
At the end, we go over approaches that would help captchas fight attacks. I think the quick flickering approach would work best (split the image into uneven parts, flicker them quickly so the human eye can read the aggregate image but any single slice doesn't show the full picture, and the superimposed image is incorrect)