![]() The best strategy to win “rock paper scissors” is to pick randomly each time: ![]() It’s our job to figure out how to make their investment the most risky possible… let’s gamble! ASIC companys can’t continue to develop and throw away their investments, at some point they are going to have to just let go. Code can always be improved and more performant. I don’t understand why people are so scared of hardforks? We are many hardforks away from cryptocurrencies final form, it’s part of the process. IndieGO coin - every miner is equal - 100% ASICproofĭoing something is better than doing nothing. indieGO coin - every miner is equal - 100% ASICproof ![]() I am really disappointed about the “decentralisation” problem and I will reuse and rework a little bit to offer an ASIC proof coin. This means FPGA may loose every new GPU upgrade their role… If Bitmain would go the route to reduce a GPU design to only Mining bits… well than they produce only environmental waste… no resale value again.Ĥ.FPGA while reprogrammable underlay Moore’s law as well. This would be welcomed… They compete with AMD and Nvidia which is healthy. = Less HASHpower required AND even without a call it should be worth again for “previously” underpowered miners to come back after the fork. Their miners are creating traffic which would disappear. This is nonsense… all the network activity would drop at the same time. 9 Month are long if you just change a small number, there should be enough time to test it … 8 month long. Hmm… nope… You can "slightly " correct just by raising memory requirements. Reference: Is The War Against ASICs Worth Fighting? | by Derek Hsue | Token Economy ![]() Additionally, if players with large amounts of capital enter the GPU Mining space, it could be vulnerable to the same domination by vertically integrated companies. There’s security concerns, you might scatter the hash rate, and you might not eliminate more flexible FPGAS. There’s a lot of problems with constantly hard forking. This is a worse outcome compared to doing nothing at all, as it results in even more centralization. If a proof of work algorithm change occurs, it might destroy 3 out of 4 ASIC models, while the 4th FPGA still works on the new algorithm. These FPGAS are much slower than super focused ASICs, but still much faster than GPUs. ASICs work only for specific algorithms, but it is becoming feasible to implement more flexible hardware that can adjust to small changes. These same advantages can be extended to GPU mining.ĪSIC developers could build more flexible FPGA designs that can adjust to small algorithm tweaks. The most important reason Bitmain has established dominance of Bitcoin mining is their enormous amount of capital and cheap electricity. If developers remain adamant in maintaining GPU mining and keep hard forking, players like Bitmain could also enter the GPU development and mining game, which would likely result in similar mining concentration. ![]() GPU mining is also susceptible to economies of scale and domination by vertically integrated companies like Bitmain. As a result of this security vulnerability, the Monero community has called on new users to contribute hashpower after the fork. It becomes more feasible to rent hash power and attack the network, as only GPUs and CPUs will be operating. Additionally, constant forks will scatter hash power, creating more orphans and decreasing the overall security of the network. If ASICs are successfully removed from the network, the drop in hash rate could be huge, bringing the network to a crawl, and making the difficulty adjustment erratic for some period. Hard forks will scatter the hash power on the network. Public blockchains should maximize resiliency, which means they should stray towards the conservative side when making large changes to the protocol. Changing a minor algorithm every few months or every year might sound simple in theory, but there are many things that can go wrong. The introduction of new bugs or exploits, whether accidental or malicious in nature. ![]()
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