Demographics: male, upper middle class, Asian Indian, heterosexual and cisgender, Long Island, New York, high school class of 2021 Intended Major(s): Mathematics ACT/SAT/SAT II/PSAT: 35 (35E, 36M, 34R, 36S), 1570 (800 math, 770 english, 23/24 essay), 800 math2, 800 chem, 800 physics, 1500 (760 math, 740 english; hopefully i get national merit since I made the cut off) UW/W GPA and Rank: 4.0UW, 103.96% weighted so far (out of 100%, APs weighted 1.08 and Honors 1.06; I'm not sure what it is out of 5 but everything's been an A or higher so far) Coursework: 10th: AP World History (4, 99%), AP Computer Science Principles (4, 99%), AP Calculus BC (5, 97%); all other grades except Chemistry (96%) at least 97% 11th: AP Lang (5, 97%), Multivariable Calculus and Linear Algebra (through school, weighted as an AP, 98%; I get college credit from a state university for taking this), AP Physics 1 (5, 98%), AP United States History (5, 99%), AP Computer Science A (5, 100%), AP Statistics (self-studied, 5); all other grades 97% or higher the above courses were taken through school, but I enrolled as a non-matriculated undergraduate student through the same state university that's giving me college credit for high school multi to take the following courses in Fall 2019 and Spring 2020 respectively: "Logic, Language, and Proofs" (basically introduced me to the language of mathematics and abstract proof construction, etc.) (A+), Introduction to Real Analysis (third-year undergraduate course, probably) (A+) 12th: (incoming senior) AP Lit, Differential Equations (through school, weighted as an AP; I get college credit from a state university for taking this), AP Physics C (I don't know which yet but probably E/M), AP US Gov, AP Micro, AP Spanish Lang the above courses are going to be taken through school, but I enrolled as a non-matriculated undergraduate student through the same state university that's giving me college credit for high school diffeq to take the following courses in Summer 2020, Fall 2020, and Spring 2021 respectively: Applied Complex Analysis (well, I actually just finished this course, so I got an A), Advanced Linear Algebra, Analysis in Several Dimensions like 12 APs in total by the end of senior year; I have taken the most rigorous courses available + courses at college Awards: AIME Qualifier (missed the USAMO cutoff by one AIME question's worth of index points, oops), HMMT/PUMaC awards President's Volunteer Service Award, Gold (by the end of senior year, I should have lifetime ~650-675 volunteer hours): 3-time winner, 10th, 11th, and (expected) 12th AP Scholar (I don't remember which though I have it on my application, but based on the scores I have, you can figure it out if you need to), Commended PSAT Scholar UNSCO Qualifier, USAPhO Qualifier, USACO Silver Regeneron Semifinalist, Scholastic Silver Writing Award (this was like 2-3 years ago, I don't remember much about it) Essays: they're actually coming on really good so far, not done writing though Letters of Recommendations: my multi/diffeq teacher (really epic), my physics 1/c teacher (pretty good), my counselor (really good); additionally, I'm considering getting one from my principal (he first set me up to take the college math courses because he's an adjunct professor at the university I took courses at, so it should be cool), and a Princeton dude (see below for more explanation; he also used to mentor me before I started doing research) Extracurriculars/Leadership Roles: Science Olympiad (have won state medals before), Math Team (treasuresecretary 12th, top scorer in county-wide mathematics tournaments), Coding/CS Club (treasurer 11th, vice president 12th), National Honor Society, DECA (have qualified for the national-level competition, ICDC), did Model UN (but stopped after 10th, so probably won't put this on) treasurer of our school's science research program from 2018 (personally offered this position by the director of the program) to when I graduate from high school in 2021 information technologist for a science education nonprofit formerly unpaid teacher assistant (now paid 'intern'; my position got renamed because I've started doing more than just TAing) at a weekend mathematics enrichment program I used to attend when I was younger; I just set up and now own/manage the program's Discord as well as helped implement a grading system for the students on Google Classroom during the transition from real-life classes to online, Zoom classes due to COVID-19 CTO of a startup digital advertising business I co-founded with my friend (I personally made just under $15,000 so far, but the business's net worth is about $40,000) in July 2018, I attended a summer program that related to computer science, electrical engineering, and informatics; we learned several skills such as programming Python (including NumPy, Matplotlib, and Pandas) in the context of physical engineering concepts and the Raspberry Pi; I engineering a program comparable to the widespread arcade game “Wheel of Fortune” hospital volunteer (transporter, a large source of my volunteer hours) Bitcoin/general cryptocurrency trademiner, I've set up several ASIC miners and studied their stock trends to optimize the amount of money I make from them, although I put a hold on this activity when crypto started dying again 10-year piano player (stopped in 9th grade though, but I went to state-level festivals and got perfect scores on my performances), 5-year viola player (planning to qualify for the state festival this year), JV Tennis (memes), 7-year soccer player (stopped after 9th grade, though) also I'm probably not gonna put this on my application, but out of enjoyment, my friend and I conducted a satire analysis on our in-class chemistry performance through research, usage of spreadsheet/database applications, and Python’s machine learning modules; essentially, we collaborated on our mutual objective for his project in that we sought to “predict” when our grades would drastically fall, and a psychological explanation as to why we, somewhat academically-oriented students, tend to make the most drastic shortcomings when it comes to in-class performance ( used long short-term memory in the structures of recurrent neural networks which served as a model for Keras, a Python deep learning API, to make a grade prediction based on learning the ups and downs of our previous grades) not sure if this counts for anything, but in May of 2012, in a Nassau County-based competition that I took against high schoolers double my age at the time, I won first place for the highest amount of problems correct so that's pretty cool I guess finally, I've done over-the-summer online research under the guidance of a postdoctoral researcher in mathematics I got the contact of during a visit to Princeton University (did his doctoral thesis under the mentoring of Terence Tao, a world-renowned Fields Medal recipient) Other life circumstances: recovering narcotics addict (I had an injury while playing soccer in the spring of 9th grade and got hooked for a year after I didn't need them anymore), violent/alcohol-ridden home situation; I've had some issues with mental health in 9th and early 10th grade but I think I'm doing better now yay I really wanna make it into some kind of Ivy/T20 kinda school, but I'm open to any suggestions as to where I stand in college admissions. Also, because I took all those college math courses, I got permission from the undergraduate director of mathematics to transfer those into credits for a bachelor's degree at that state school, so I can graduate two years early (2023 instead of 2025) if I get accepted and enroll there as a full-time student. I'd really appreciate any help! Thanks!
Ummm, remember those "Expert" Bitcoin Price Predictions for 2019 ..... ohhhhh dear .....
Lots of cryptocurrency "experts" put whatever "reputation" and "credibility" they had on the line with Bitcoin predictions in 2019, and and came up wayyyyyy short. Eggs on Face ... by the cartoon. Any credibility thay had, completely destroyed, exposing them for the coin schills that they truly are. Luckily for these lying, delusional morons, Butters has a very short selective memory, and he will still believe everything they say again and again in the future, no matter how wrong or corrupt they are. Without further ado, I give you the "Expert" Bitcoin Price Predictions for 2019:
Question: Why isn't anyone holding the above "experts" accountable for their bogus, bullshit predictions ??? In addition, we have some gems from various Redditors, and here are some of the stand-outs:
Quitting my job for 2-3 months to change my career
Hi All, Edit: Thank you everyone for sharing and advising me on this decision. Though tempting I think I'm going to hold off on quitting. If there's one thing that's clear across all of your responses, its that holding any job, even if it's unrelated, helps get me a new job so for now I'll suck it up and stick with it. ** I apologize for the life story in advanced but if this does gain traction I want to answer most of the questions upfront. TL;DR at bottom. Long time lurker here and I've seen a few posts that somewhat describe what I'm planning but I figured that I would share with you guys my plan to hopefully get some feedback from people in the field. My Background: I recently graduated from college (WIT, August 2018) with a degree in Computer Science and Mathematics and currently work help desk at a medium sized financial firm in Boston (300 Employees, ~$100 Billion in AUM). I do some quasi DevOps stuff here and there (heavy emphasis on quasi. Basically some Power-Shell scripting, expanding Production sever drives, pushing developers SQL code) but for the most part my day consists of taking help desk tickets and setting up new hires every week. This job is HELL to me... mostly because it's far from stimulating and in a field that I have no interest in and have been stuck in for too long IMO (Highschool = Local Computer store, First Co-op = Helpdesk, second Co-op = Systems engineer). I want to transition to data engineering and then eventually machine learning but I know that it's a long road, hence why I would start with data engineering/science and then transition. This presents the conundrum, how do I transition from help desk to data science/engineering? In collage I took two machine learning classes and worked on three projects that are geared towards Machine learning but they are rather far apart in complexity.
(Language - R, Rstudio) During my junior year in college I was taking a Machine learning class (Math focus, learned about Naive Bayes, Decision trees up to SVM, PCA) during that time I worked on a rather simple Reddit sentiment analysis bot. It's honestly nothing to write home about, I mostly leveraged functions from libraries and PRAW more than anything and its as vanilla as it gets.
(Language - Python 3.6) Second project was my Senior capstone project that I teamed up with a friend on. We decided that in 3 months we were going to try and write a Bitcoin trading bot based on Neural Networks, SVM's and Technical Analysis. Now there was a lot wrong with this project.....like a lot. In that my friend and I were ambitious but uninformed and thought that if we worked hard enough we could make anything happen having pretty much zero knowledge of the challenges that faced us.
Fast forward to the end of the semester I had created this SVM that did OK (~3% over market) on up-trends but epic failed it's way into double digit negatives during a down trend.
My friend worked on an LSTM Neural Network that he barely understood and after enough poking, he got it to trade decently during down trends (Lost about ~8-10% during a 50% loss) but did poorly on up-trends.
Nothing impressive for results but god dam did I learn a lot!
We had to find data sets, parse them, understand how time series worked and try our best to create something from the ground up. We had very little guidance but scored well in the end for our presentation and ambitious goals.
## To me this was my first serious machine learning project. ##
(Language - Python for testing, MATLAB for final) After that I joined my professor for an independent study and worked on a research paper for an IEEE Competition. It was on Evolutionary Algorithms and we ended up getting accepted into the competition and as a result our paper will be published sometime in August when they release the proceedings. This is easily my most impressive feat in the world of development and Machine learning/AI but it leads into my bigger problem.
Aside from the previous projects I have very little development experience outside of the classroom. I have no professional development experience and it's been impossible to gain any traction in that field as all of my professional experience is in IT. My strongest programming language is Python but because I don't use it at all at my job, I feel myself loosing touch. My Goal:
I want to quit my job and give myself 2-3 months runway to take advantage of every online resource I can get my hands on to beef up my resume / practice coding and prove to employers that I can be a data scientist.
So far I want to master the following:
Andrew NG's Machine learning courses (all of them)
Take any projects that I end up doing for these courses and post them on my github.
I am aiming for at least 6 hours a day for ~60-90 days or 360-540 hours working towards this goal. I have the background so I'm not starting from nothing and expect that I will blast through a lot of those courses within the first month giving me time to come up with a substantial project to use as my major achievement for this time off. My angle to employers is that I was frustrated with my lack of growth and took things into my own hands to further my career, but worry this can be misinterpreted many different ways. As for Expenses: I have close to 15K in savings and have budgeted out ~2.3K a month for all my expenses (Rent, car insurance, food, utilities and BS expenses like coffee or lunch out). If I take 3 months off of work given my burn rate that leaves me with ~8K left in savings. I also have about 5K in my 401K so if need be I could pull on that if it were an emergency but I am aware of the tax repercussions and know that it's only an option in a true emergency. My Backup Plan: If for some reason I can't find a job after 3 months of building my resume and web portfolio I will give in and apply for yet another IT job. My question to you kind redditors:
IS THIS A VIABLE ROUTE?
If you were hiring and saw a resume that described what I am planning to do would you be interested? My main goal here is to get my foot in the door, where ever that is.
TL;DR: Recent College undergrad with degree in CS and Math looking to drop current job as a Desktop Engineer to work for myself for 2-3 months and build my resume with online resources into a qualified data engineer / scientist. Have a minimal background in ML/Data scientist but have enough experience to understand the concepts and Math behind it. Thank you for reading my long post and I really appreciate any and all feedback.
Transcript of discussion between an ASIC designer and several proof-of-work designers from #monero-pow channel on Freenode this morning
[08:07:01] lukminer contains precompiled cn/r math sequences for some blocks: https://lukminer.org/2019/03/09/oh-kay-v4r-here-we-come/ [08:07:11] try that with RandomX :P [08:09:00] tevador: are you ready for some RandomX feedback? it looks like the CNv4 is slowly stabilizing, hashrate comes down... [08:09:07] how does it even make sense to precompile it? [08:09:14] mine 1% faster for 2 minutes? [08:09:35] naturally we think the entire asic-resistance strategy is doomed to fail :) but that's a high-level thing, who knows. people may think it's great. [08:09:49] about RandomX: looks like the cache size was chosen to make it GPU-hard [08:09:56] looking forward to more docs [08:11:38] after initial skimming, I would think it's possible to make a 10x asic for RandomX. But at least for us, we will only make an ASIC if there is not a total ASIC hostility there in the first place. That's better for the secret miners then. [08:13:12] What I propose is this: we are working on an Ethash ASIC right now, and once we have that working, we would invite tevador or whoever wants to come to HK/Shenzhen and we walk you guys through how we would make a RandomX ASIC. You can then process this input in any way you like. Something like that. [08:13:49] unless asics (or other accelerators) re-emerge on XMR faster than expected, it looks like there is a little bit of time before RandomX rollout [08:14:22] 10x in what measure? $/hash or watt/hash? [08:14:46] watt/hash [08:15:19] so you can make 10 times more efficient double precisio FPU? [08:16:02] like I said let's try to be productive. You are having me here, let's work together! [08:16:15] continue with RandomX, publish more docs. that's always helpful. [08:16:37] I'm trying to understand how it's possible at all. Why AMD/Intel are so inefficient at running FP calculations? [08:18:05] midipoet ([email protected]/web/irccloud.com/x-vszshqqxwybvtsjm) has joined #monero-pow [08:18:17] hardware development works the other way round. We start with 1) math then 2) optimization priority 3) hw/sw boundary 4) IP selection 5) physical implementation [08:22:32] This still doesn't explain at which point you get 10x [08:23:07] Weren't you the ones claiming "We can accelerate ProgPoW by a factor of 3x to 8x." ? I find it hard to believe too. [08:30:20] sure [08:30:26] so my idea: first we finish our current chip [08:30:35] from simulation to silicon :) [08:30:40] we love this stuff... we do it anyway [08:30:59] now we have a communication channel, and we don't call each other names immediately anymore: big progress! [08:31:06] you know, we russians have a saying "it was smooth on paper, but they forgot about ravines" [08:31:12] So I need a bit more details [08:31:16] ha ha. good! [08:31:31] that's why I want to avoid to just make claims [08:31:34] let's work [08:31:40] RandomX comes in Sep/Oct, right? [08:31:45] Maybe [08:32:20] We need to audit it first [08:32:31] ok [08:32:59] we don't make chips to prove sw devs that their assumptions about hardware are wrong. especially not if these guys then promptly hardfork and move to the next wrong assumption :) [08:33:10] from the outside, this only means that hw & sw are devaluing each other [08:33:24] neither of us should do this [08:33:47] we are making chips that can hopefully accelerate more crypto ops in the future [08:33:52] signing, verifying, proving, etc. [08:34:02] PoW is just a feature like others [08:34:18] sech1: is it easy for you to come to Hong Kong? (visa-wise) [08:34:20] or difficult? [08:34:33] or are you there sometimes? [08:34:41] It's kind of far away [08:35:13] we are looking forward to more RandomX docs. that's the first step. [08:35:31] I want to avoid that we have some meme "Linzhi says they can accelerate XYZ by factor x" .... "ha ha ha" [08:35:37] right? we don't want that :) [08:35:39] doc is almost finished [08:35:40] What docs do you need? It's described pretty good [08:35:41] so I better say nothing now [08:35:50] we focus on our Ethash chip [08:36:05] then based on that, we are happy to walk interested people through the design and what else it can do [08:36:22] that's a better approach from my view than making claims that are laughed away (rightfully so, because no silicon...) [08:36:37] ethash ASIC is basically a glorified memory controller [08:36:39] sech1: tevador said something more is coming (he just did it again) [08:37:03] yes, some parts of RandomX are not described well [08:37:10] like dataset access logic [08:37:37] RandomX looks like progpow for CPU [08:37:54] yes [08:38:03] it is designed to reflect CPU [08:38:34] so any ASIC for it = CPU in essence [08:39:04] of course there are still some things in regular CPU that can be thrown away for RandomX [08:40:20] uncore parts are not used, but those will use very little power [08:40:37] except for memory controller [08:41:09] I'm just surprised sometimes, ok? let me ask: have you designed or taped out an asic before? isn't it risky to make assumptions about things that are largely unknown? [08:41:23] I would worry [08:41:31] that I get something wrong... [08:41:44] but I also worry like crazy that CNv4 will blow up, where you guys seem to be relaxed [08:42:06] I didn't want to bring up anything RandomX because CNv4 is such a nailbiter... :) [08:42:15] how do you guys know you don't have asics in a week or two? [08:42:38] we don't have experience with ASIC design, but RandomX is simply designed to exactly fit CPU capabilities, which is the best you can do anyways [08:43:09] similar as ProgPoW did with GPUs [08:43:14] some people say they want to do asic-resistance only until the vast majority of coins has been issued [08:43:21] that's at least reasonable [08:43:43] yeah but progpow totally will not work as advertised :) [08:44:08] yeah, I've seen that comment about progpow a few times already [08:44:11] which is no surprise if you know it's just a random sales story to sell a few more GPUs [08:44:13] RandomX is not permanent, we are expecting to switch to ASIC friendly in a few years if possible [08:44:18] yes [08:44:21] that makes sense [08:44:40] linzhi-sonia: how so? will it break or will it be asic-able with decent performance gains? [08:44:41] are you happy with CNv4 so far? [08:45:10] ah, long story. progpow is a masterpiece of deception, let's not get into it here. [08:45:21] if you know chip marketing it makes more sense [08:45:24] linzhi-sonia: So far? lol! a bit early to tell, don't you think? [08:45:35] the diff is coming down [08:45:41] first few hours looked scary [08:45:43] I remain skeptical: I only see ASICs being reasonable if they are already as ubiquitous as smartphones [08:45:46] yes, so far so good [08:46:01] we kbew the diff would not come down ubtil affter block 75 [08:46:10] yes [08:46:22] but first few hours it looks like only 5% hashrate left [08:46:27] looked [08:46:29] now it's better [08:46:51] the next worry is: when will "unexplainable" hashrate come back? [08:47:00] you hope 2-3 months? more? [08:47:05] so give it another couple of days. will probably overshoot to the downside, and then rise a bit as miners get updated and return [08:47:22] 3 months minimum turnaround, yes [08:47:28] nah [08:47:36] don't underestimate asicmakers :) [08:47:54] you guys don't get #1 priority on chip fabs [08:47:56] 3 months = 90 days. do you know what is happening in those 90 days exactly? I'm pretty sure you don't. same thing as before. [08:48:13] we don't do any secret chips btw [08:48:21] 3 months assumes they had a complete design ready to go, and added the last minute change in 1 day [08:48:24] do you know who is behind the hashrate that is now bricked? [08:48:27] innosilicon? [08:48:34] hyc: no no, and no. :) [08:48:44] hyc: have you designed or taped out a chip before? [08:48:51] yes, many years ago [08:49:10] then you should know that 90 days is not a fixed number [08:49:35] sure, but like I said, other makers have greater demand [08:49:35] especially not if you can prepare, if you just have to modify something, or you have more programmability in the chip than some people assume [08:50:07] we are chipmakers, we would never dare to do what you guys are doing with CNv4 :) but maybe that just means you are cooler! [08:50:07] and yes, programmability makes some aspect of turnaround easier [08:50:10] all fine [08:50:10] I hope it works! [08:50:28] do you know who is behind the hashrate that is now bricked? [08:50:29] inno? [08:50:41] we suspect so, but have no evidence [08:50:44] maybe we can try to find them, but we cannot spend too much time on this [08:50:53] it's probably not so much of a secret [08:51:01] why should it be, right? [08:51:10] devs want this cat-and-mouse game? devs get it... [08:51:35] there was one leak saying it's innosilicon [08:51:36] so you think 3 months, ok [08:51:43] inno is cool [08:51:46] good team [08:51:49] IP design house [08:51:54] in Wuhan [08:52:06] they send their people to conferences with fake biz cards :) [08:52:19] pretending to be other companies? [08:52:26] sure [08:52:28] ha ha [08:52:39] so when we see them, we look at whatever card they carry and laugh :) [08:52:52] they are perfectly suited for secret mining games [08:52:59] they made at most $6 million in 2 months of mining, so I wonder if it was worth it [08:53:10] yeah. no way to know [08:53:15] but it's good that you calculate! [08:53:24] this is all about cost/benefit [08:53:25] then you also understand - imagine the value of XMR goes up 5x, 10x [08:53:34] that whole "asic resistance" thing will come down like a house of cards [08:53:41] I would imagine they sell immediately [08:53:53] the investor may fully understand the risk [08:53:57] the buyer [08:54:13] it's not healthy, but that's another discussion [08:54:23] so mid-June [08:54:27] let's see [08:54:49] I would be susprised if CNv4 ASICs show up at all [08:54:56] surprised* [08:54:56] why? [08:55:05] is only an economic question [08:55:12] yeah should be interesting. FPGAs will be near their limits as well [08:55:16] unless XMR goes up a lot [08:55:19] no, not *only*. it's also a technology question [08:55:44] you believe CNv4 is "asic resistant"? which feature? [08:55:53] it's not [08:55:59] cnv4 = Rabdomx ? [08:56:03] no [08:56:07] cnv4=cryptinight/r [08:56:11] ah [08:56:18] CNv4 is the one we have now, I think [08:56:21] since yesterday [08:56:30] it's plenty enough resistant for current XMR price [08:56:45] that may be, yes! [08:56:55] I look at daily payouts. XMR = ca. 100k USD / day [08:57:03] it can hold until October, but it's not asic resistant [08:57:23] well, last 24h only 22,442 USD :) [08:57:32] I think 80 h/s per watt ASICs are possible for CNv4 [08:57:38] linzhi-sonia where do you produce your chips? TSMC? [08:57:44] I'm cruious how you would expect to build a randomX ASIC that outperforms ARM cores for efficiency, or Intel cores for raw speed [08:57:48] curious [08:58:01] yes, tsmc [08:58:21] Our team did the world's first bitcoin asic, Avalon [08:58:25] and upcoming 2nd gen Ryzens (64-core EPYC) will be a blast at RandomX [08:58:28] designed and manufactured [08:58:53] still being marketed? [08:59:03] linzhi-sonia: do you understand what xmr wants to achieve, community-wise? [08:59:14] Avalon? as part of Canaan Creative, yes I think so. [08:59:25] there's not much interesting oing on in SHA256 [08:59:29] Inge-: I would think so, but please speak [08:59:32] hyc: yes [09:00:28] linzhi-sonia: i am curious to hear your thoughts. I am fairly new to this space myself... [09:00:51] oh [09:00:56] we are grandpas, and grandmas [09:01:36] yet I have no problem understanding why ASICS are currently reviled. [09:01:48] xmr's main differentiators to, let's say btc, are anonymity and fungibility [09:01:58] I find the client terribly slow btw [09:02:21] and I think the asic-forking since last may is wrong, doesn't create value and doesn't help with the project objectives [09:02:25] which "the client" ? [09:02:52] Monero GUI client maybe [09:03:12] MacOS, yes [09:03:28] What exactly is slow? [09:03:30] linzhi-sonia: I run my own node, and use the CLI and Monerujo. Have not had issues. [09:03:49] staying in sync [09:03:49] linzhi-sonia: decentralization is also a key principle [09:03:56] one that Bitcoin has failed to maintain [09:04:39] hmm [09:05:00] looks fairly decentralized to me. decentralization is the result of 3 goals imo: resilient, trustless, permissionless [09:05:28] don't ask a hardware maker about physical decentralization. that's too ideological. we focus on logical decentralization. [09:06:11] physical decentralization is important. with bulk of bitnoin mining centered on Chinese hydroelectric dams [09:06:19] have you thought about including block data in the PoW? [09:06:41] yes, of course. [09:07:39] is that already in an algo? [09:08:10] hyc: about "centered on chinese hydro" - what is your source? the best paper I know is this: https://coinshares.co.uk/wp-content/uploads/2018/11/Mining-Whitepaper-Final.pdf [09:09:01] linzhi-sonia: do you mine on your ASICs before you sell them? [09:09:13] besides testing of course [09:09:45] that paper puts Chinese btc miners at 60% max [09:10:05] tevador: I think everybody learned that that is not healthy long-term! [09:10:16] because it gives the chipmaker a cost advantage over its own customers [09:10:33] and cost advantage leads to centralization (physical and logical) [09:10:51] you guys should know who finances progpow and why :) [09:11:05] but let's not get into this, ha ha. want to keep the channel civilized. right OhGodAGirl ? :) [09:11:34] tevador: so the answer is no! 100% and definitely no [09:11:54] that "self-mining" disease was one of the problems we have now with asics, and their bad reputation (rightfully so) [09:13:08] I plan to write a nice short 2-page paper or so on our chip design process. maybe it's interesting to some people here. [09:13:15] basically the 5 steps I mentioned before, from math to physical [09:13:32] linzhi-sonia: the paper you linked puts 48% of bitcoin mining in Sichuan. the total in China is much more than 60% [09:13:38] need to run it by a few people to fix bugs, will post it here when published [09:14:06] hyc: ok! I am just sharing the "best" document I know today. it definitely may be wrong and there may be a better one now. [09:14:18] hyc: if you see some reports, please share [09:14:51] hey I am really curious about this: where is a PoW algo that puts block data into the PoW? [09:15:02] the previous paper I read is from here http://hackingdistributed.com/2018/01/15/decentralization-bitcoin-ethereum/ [09:15:38] hyc: you said that already exists? (block data in PoW) [09:15:45] it would make verification harder [09:15:49] linzhi-sonia: https://the-eye.eu/public/Books/campdivision.com/PDF/Computers%20General/Privacy/bitcoin/meh/hashimoto.pdf [09:15:51] but for chips it would be interesting [09:15:52] we discussed the possibility about a year ago https://www.reddit.com/Monero/comments/8bshrx/what_we_need_to_know_about_proof_of_work_pow/ [09:16:05] oh good links! thanks! need to read... [09:16:06] I think that paper by dryja was original [09:17:53] since we have a nice flow - second question I'm very curious about: has anyone thought about in-protocol rewards for other functions? [09:18:55] we've discussed micropayments for wallets to use remote nodes [09:18:55] you know there is a lot of work in other coins about STARK provers, zero-knowledge, etc. many of those things very compute intense, or need to be outsourced to a service (zether). For chipmakers, in-protocol rewards create an economic incentive to accelerate those things. [09:19:50] whenever there is an in-protocol reward, you may get the power of ASICs doing something you actually want to happen [09:19:52] it would be nice if there was some economic reward for running a fullnode, but no one has come up with much more than that afaik [09:19:54] instead of fighting them off [09:20:29] you need to use asics, not fight them. that's an obvious thing to say for an asicmaker... [09:20:41] in-protocol rewards can be very powerful [09:20:50] like I said before - unless the ASICs are so useful they're embedded in every smartphone, I dont see them being a positive for decentralization [09:21:17] if they're a separate product, the average consumer is not going to buy them [09:21:20] now I was talking about speedup of verifying, signing, proving, etc. [09:21:23] they won't even know what they are [09:22:07] if anybody wants to talk about or design in-protocol rewards, please come talk to us [09:22:08] the average consumer also doesn't use general purpose hardware to secure blockchains either [09:22:14] not just for PoW, in fact *NOT* for PoW [09:22:32] it requires sw/hw co-design [09:23:10] we are in long-term discussions/collaboration over this with Ethereum, Bitcoin Cash. just talk right now. [09:23:16] this was recently published though suggesting more uptake though I guess https://btcmanager.com/college-students-are-the-second-biggest-miners-of-cryptocurrency/ [09:23:29] I find it pretty hard to believe their numbers [09:24:03] well [09:24:09] sorry, original article: https://www.pcmag.com/news/366952/college-kids-are-using-campus-electricity-to-mine-crypto [09:24:11] just talk, no? rumors [09:24:18] college students are already more educated than the average consumer [09:24:29] we are not seeing many such customers anymore [09:24:30] it's data from cisco monitoring network traffic