06:56:36 hyc: i never doubted it was illicit. I just couldn't prove it. So I infiltrated, gathered info and relayed it to azure :) 06:58:25 0|proxy | 2020-06-09 17:04 +00:00: The proxy currently has 38385 miners connected at 201405703 h/s with an average diff of 78322 06:59:02 https://termbin.com/jir27 07:31:14 M5M400 you got into the proxy? How? 07:59:54 nice pick of the framework though 09:49:40 sech1: I asked for a root login. what else? 10:00:29 How convenient :D 10:03:17 well he couldn't figure out how to install xnp himself so I offered 10:04:48 then gathered info and wiped it. he later built another one himself it seems 10:05:00 because it came back few hours later 14:34:10 what a dolt 14:34:22 glad you took care of the problem ;) 16:32:15 there is a meeting about merge mining PoW in #tari 16:32:47 and? 16:33:35 the point of merge mining is any chain can merge mine with a parent chain without requiring any action on the parent chain's part 16:34:14 it's an interesting discussion 16:34:39 could a RandomX-type algorithm be created for GPUs? is that possible? 16:39:25 no 16:41:16 Yes. Though probably specific to one particular GPU architecture. 16:41:31 anything that a highly parallel GPU can do well, an FPGA or ASIC can do better 16:41:33 would that be randomx like then= 16:41:35 ?* 16:42:08 Fair point. I interpreted "RandomX-type" as "generate random instruction streams and hash the end state". 16:42:18 But maybe that wasn't the intent :) 16:43:11 Might be harder since you need to generate a state at the end, I'm not sure how much control you get over that. 16:43:16 hmmm. well you may be right - you could probably tailor a randomx-like approach to a particular GPU family 16:43:53 but AFAICS, "GPGPU" are not really very general purpose 16:44:02 and generality is why RandomX works 16:47:14 I'm not saying an ASIC could not get ahead, it might well be able to easier than for CPU. Just answering the question as is. 16:49:10 yeah. there's another annoyance in that GPU instruction sets aren't publicly documented, and change dramatically from generation to generation 16:49:28 so the JIT approach that makes RandomX fast on CPUs is much harder to develop for GPUs 16:51:41 yeah I suppose "GPU" is too broad a target 16:52:04 https://github.com/tevador/RandomX/blob/master/doc/design.md#randomx-design 16:52:12 talks a bit on why CPU was chosen 17:10:18 Oh yeah I understand why CPUs are a better option, I was just wondering whether something like RandomX could be created for other handware 17:10:39 RISC-V could be a thing eventually 17:10:59 RISC-V is just another CPU family, it will already work 17:11:18 it's already supported by gcc; writing the JIT for it wouldn't be hard 17:14:12 Isn't ProgPow "generate random instruction streams and hash the end state"? 17:25:45 not very large or varied instruction streams 17:26:05 leaves vast percentage of GPU silicon unused