Re: [Computer-go] GCP passing on the staff ...

Just purely curiosity: How strong is Leela now? googling up gives that it is better than best humasn already? Is that true? Petri ma 28. tammik. 2019 klo 23.31 "Ingo Althöfer" (3-hirn-ver...@gmx.de) kirjoitti: > Hello, > > a central quote from the Leela Github blog at >

Re: [Computer-go] New paper by DeepMind

while working at Nokia we revieved what innovations were worth patenting and how to deal with those we did not see important enough. Sometime we paid a reseacher from acemia to write a paper and submit for some conference. There were other methods. But filing just for prior art is way too

Re: [Computer-go] 9x9 is last frontier?

elo-range in 9x9 smaller than 19x19. One just cannot be hugelyl better than the other is such limitted game 2018-02-23 21:15 GMT+02:00 Hiroshi Yamashita : > Hi, > > Top 19x19 program reaches 4200 BayesElo on CGOS. But 3100 in 9x9. > Maybe it is because people don't have much

Re: [Computer-go] Project Leela Zero

Seems suprisingly strong. Given that no super vcluster availab,´le for trainning. Have at least on accoutn rated would be nice since in unrated games people experiment quite a lot at cost of playing well. 2017-12-29 22:02 GMT+02:00 Brian Sheppard via Computer-go < computer-go@computer-go.org>:

Re: [Computer-go] Learning related stuff

>But again: For instance, when a eight year old child starts >to play violin, is it helpful or not when it had played >say a trumpet before? It would be and this is well known in practice. Logic around the music is the same so hw would learn faster. In the very long run there might be no wanted

Re: [Computer-go] what is reachable with normal HW

So If I load latest leela into a laptop (being about KGS 4k) I would expect to demolished even on 9 stone handicap. Nice Petri 2017-11-15 13:55 GMT+02:00 Darren Cook : > > Zero was reportedly very strong with 4 TPU. If we say 1 TPU = 1 GTX 1080 > > Ti... > > 4 TPU is 180

Re: [Computer-go] AlphaGo Zero SGF - Free Use or Copyright?

and we can allways come up with bizarre situation like casualties insidet the vehicle vs casualties to persoons outside the vehicle. I am pretty sure this will a long discussion with huge research gaps on ethics as well as in engineering 2017-10-31 7:00 GMT+02:00 Robert Jasiek :

Re: [Computer-go] AlphaGo Zero SGF - Free Use or Copyright?

intuition is handy word for truly automated information processing i.e subconscious. And everything that train conscious decission making trains also the subconscious/intuiton. Intuiton nothing mythical just automation achieved via training 2017-10-29 5:08 GMT+02:00 Thomas Rohde

Re: [Computer-go] AlphaGo Zero SGF - Free Use or Copyright?

wn > intuition fairly well. > > Do we want to sit down and analyze the best human player's intuition? > Perhaps. But certainly not to improve the best computer player. It can > already crush all humans at pretty much every strength. > > s. > > > On Fri, Oct 27, 2017 at 1

Re: [Computer-go] AlphaGo Zero SGF - Free Use or Copyright?

way more important the result. Obviousl I canno tprove my point as my evidence is anecdotal PP 2017-10-26 17:54 GMT+03:00 Robert Jasiek <jas...@snafu.de>: > On 26.10.2017 08:52, Petri Pitkanen wrote: > >> Unfortunately there is no proof that you principles work better than thos

Re: [Computer-go] AlphaGo Zero SGF - Free Use or Copyright?

Unfortunately there is no proof that you principles work better than those form eighties. Nor there is any agreement that your pronciples form any improvement over the old ones. Yes you are a far better player than me and shows that you are - way better at reading - have hugely better go

Re: [Computer-go] AlphaGo Zero SGF - Free Use or Copyright?

O'Flaherty <jim.oflaherty...@gmail.com>: > Couldn't they be useful as part of a set of training data for newly > trained engines and networks? > > On Oct 23, 2017 2:34 AM, "Petri Pitkanen" <petri.t.pitka...@gmail.com> > wrote: > >> They are free to use

Re: [Computer-go] AlphaGo Zero SGF - Free Use or Copyright?

They are free to use in any attribution. Game score is a reflection of historical fact and hence not copyrightable. Dunno what use them are to anyone though. Petri 2017-10-23 2:29 GMT+03:00 Lucas Baker : > Hi Robert, > > The AlphaGo Zero games are free to use with proper

Re: [Computer-go] AlphaGo Zero

1) There is no such thing and I do doubt if it ever will exist. Even humans fail elaborate why they know certain things 2) If we are talking about new one. Very few people seen it playing so I guess we lack the data. For the old we know it made errors, dunno if analysis points why. Neural nets

Re: [Computer-go] agz -- meditations

Cost reduction in IC has reached or is reaching its limits. Intels 5n techk is not really a 5n and 5n is not really reachable. Not at least without some seriously new physics and even then there will be hard limits like quantum un--certainty. This particular chip may get cheaper if it is ever done

Re: [Computer-go] AlphaGo and Perfect Play

Has to be truly far. Even in chess best estimates are that current computers are still few hundred ELO points away from perfect. In chess on can make estimates based what draw rates current best ones would get against perfect play. Loads of guess work but still reasonable. In go difference must

Re: [Computer-go] Auto Go game recorder

never heard of one for GO. High School kids in Finland made one for chess. And to get proper picture camera had to located avbovr the board.I suspect it has to same way in go. So would require some kind on phone stand Here is start of such project: https://gogamerecorder.wordpress.com/ SO I

Re: [Computer-go] Commonsense Go

he is muted for a good reason. And "classical " approach was done for decades did no lead much to anything. So I would be interested on the paper ONLY if author has implemented his/her ideas and measured performance. Otherwise it would be waste of time with at least 95% probability Petri

Re: [Computer-go] Creating the playout NN

Would the expected improvement be reduced training time or improved accuracy? 2016-06-11 23:06 GMT+03:00 Stefan Kaitschick : > If I understood it right, the playout NN in AlphaGo was created by using > the same training set as the one used for the large NN that is

Re: [Computer-go] Commercial Go software and high-end users

Chess was popular everywhere so the barriers were relatively small. As one chess writer said it. There are moer chess titles written than all other hobby titles combined. Dunno who reads all of them. But I do doubt if strong go programs give too much for analysis. Even if they are 1p and can show

Re: [Computer-go] Beginner question : how to choose a board representation

There are several open source go programs. I would start by investigating Fuego and Pachi code 2016-04-10 11:34 GMT+03:00 Gonçalo Mendes Ferreira : > There isn't a lot of info on this[1], so it will probably be a hard > journey for a fast representation. But the things a Go board

Re: [Computer-go] Congratulations to AlphaGo (Statistical significance of results)

Since there are only two possible outcomes it pretty much normal. Actually binomial which will converge to normal given enough samples Only thing that cans distort is that consecutive games are not independent (which is probably the case but do they have positive or negative correlation?)

Re: [Computer-go] AlphaGo & DCNN: Handling long-range dependency

I would second this. computers in chess do not teach anything. Computer can show you the great move but cannot explain it. Probably as hard problem to crack as was making a good computer go 2016-03-14 16:22 GMT+02:00 Robert Jasiek : > On 14.03.2016 08:59, Jim O'Flaherty wrote:

Re: [Computer-go] AlphaGo & DCNN: Handling long-range dependency

interpretation petri 2016-03-14 16:11 GMT+02:00 Robert Jasiek <jas...@snafu.de>: > On 14.03.2016 09:33, Petri Pitkanen wrote: > >> And being 600 elo points above best human you are pretty close to best >> possible play. >> > > You do not have any evidence for

Re: [Computer-go] AlphaGo & DCNN: Handling long-range dependency

l > enjoy the utter beauty of its producing something human minds could not > directly perceive much less achieve. I am sure there are others. These were > the ones that just sprung to mind without much effort. > > > > On Mon, Mar 14, 2016 at 2:07 AM, Petri Pitkanen < > pe

Re: [Computer-go] AlphaGo & DCNN: Handling long-range dependency

Even though the chess SW analyzes less positions/second than earlier it does not mean it is less dependent of good HW. Complex move selection and smart evaluation do need more CPU as well. There are advances like NULL move pruning that reduce the amount of CPU required but still it is very much HW

Re: [Computer-go] AlphaGo won the second game!

This time I think game was tougher. Though too weak to judge. At the end sacrifice a fistfull stones does puzzle me, but again way too weak to analyze it. It seem Lee Sedol is lucky if he wins a game 2016-03-10 12:39 GMT+02:00 Petr Baudis : > On Wed, Mar 09, 2016 at 09:05:48PM

Re: [Computer-go] Mastering the Game of Go with Deep Neural Networks and Tree Search

Opent to intepretation if this method is brute force. I think it i. Uses huge amounts of CPU power to run simulations and evaluate NN's. Even in chess it was not just about tree search, it needs evaluationfunction ot make sense of the search 2016-02-24 6:52 GMT+02:00 muupan : >

Re: [Computer-go] Match Date: March 09 - 15

Still no time limits. I would assume that very short time limits help computer, not very sure though 2016-02-06 14:40 GMT+02:00 "Ingo Althöfer" <3-hirn-ver...@gmx.de>: > Hello, > > on the Alpha-Go website a date for the match between > Lee Sedol and Alpha-Go is given: > 5 rounds, to be played

Re: [Computer-go] What hardware to use to train the DNN

Welll, David is making a product. Making a product is 'trooper' solution unless you are making very specific product to a very narrow target group, willing to pay thousands for single license Petri 2016-02-04 23:50 GMT+02:00 uurtamo . : > David, > > You're a trooper for doing

Re: [Computer-go] *****SPAM***** Re: What hardware to use to train the DNN

At least on digital filter time increases non-linearly - you can think NN as non-linear FIR. And multilayer structure should make this harder, if you think of it . So some tricks to speed it up might be necessary. dunno about NN but on digital filters one trick was to train first part of filter

Re: [Computer-go] Mastering the Game of Go with Deep Neural Networks and Tree Search

Explaining why the move is good in human terms is useless goal. Good chess programs cannot do it nor it is meaningful. As the humans and computers have vastly different approach to selecting a move then by the definition have reasons for moves. As an example your second item 'long-term aji', For

Re: [Computer-go] A proposition to improve neural network based on min max

i think similar approaches have been done. I can recall seeing it. Though in Backgammon they did train only by endresult and seemed to work fine. Originally anyway, now the have separate NN-for certain phases of the game 2016-01-30 18:07 GMT+02:00 Xavier Combelle : > I

Re: [Computer-go] Neural Nets to compare human playing strength

I do not think such exercise would give any meaningful results. NN would not imitate it's 'hero' 1-1 not even close Funny such discussion keep on going on in Chess and Go, in chess i think Steiniz would be wiped of board by best players of today, but still he would be way better as he created

Re: [Computer-go] Mastering the Game of Go with Deep Neural Networks and Tree Search

I think such analysis might not bee too usefull. At least chess players think it is not very usefull. Usually for learning you need "wake-up" your brains so computer analysis without reasons probabaly on marginally useful. But very entertaining 2016-01-28 13:27 GMT+02:00 Michael Markefka

Re: [Computer-go] Seki frequencies

*"Seki means a constellation on the go board with two* *living neighboring groups: one by Black, the other oneby White. Each of the groups has only one eye"* Why would you need an eye for seki? http://senseis.xmp.net/?Seki Shared liberties is good enough and quite typical in my limited

Re: [Computer-go] Scraping lower-ranked games from kgs

Yes scraping for large amounts of data from a smallish server is not really polite. May overload the server. Besides quite inefficient. You could make a request to owner of site instead. Assuming you can present good enough reason you might get lucky 2015-11-13 8:39 GMT+02:00 Josef Moudrik

Re: [Computer-go] Komi 6.5/7.5

r weak players Go than in chess, because doing a Null move is far easier 2015-11-05 13:39 GMT+02:00 Petr Baudis <pa...@ucw.cz>: > On Thu, Nov 05, 2015 at 09:03:38AM +0200, Petri Pitkanen wrote: > > 2015-11-05 0:04 GMT+02:00 Hideki Kato <hideki_ka...@ybb.ne.jp>: > > &

Re: [Computer-go] Komi 6.5/7.5

to be collected by the site operator. Webspider could overload the system and no interface exist that would be usefull for collecting the data 2015-11-05 18:26 GMT+02:00 Michael Alford <m...@aracnet.com>: > On 11/5/15 7:19 AM, Petr Baudis wrote: > > On Thu, Nov 05, 2015 at 02:42:20PM +0200,

Re: [Computer-go] Komi 6.5/7.5

and in Go one move advantage need that your 1st pro-level mode works together with your subsequent non-pro-moves 2015-11-05 14:55 GMT+02:00 Christoph Birk : > > On Nov 5, 2015, at 4:44 AM, Nick Wedd wrote: > > However, there's a powerful

Re: [Computer-go] Komi 6.5/7.5

Let alone we do not have even sufficient understanding of perfect play to say what is correct komi in absolute sense. Nor it is it even meaningful concept. Correct komi is a komi that produces about 50/50 result. Obviously komi that will result in 50/50 for professionals will probably favour white

Re: [Computer-go] Computer-go Digest, Vol 69, Issue 2

I think very few people here do not know message passing style of programming. I just not suited problem at hand. Not very cPU efficient. This is high speed simulation anyways 2015-10-02 16:53 GMT+03:00 djhbrown . : > . > "sharing code is typically not going to be

Re: [Computer-go] re comments on Life and Death

David said "estimate final score" which implies that all relevant things are factored in, merely the unit of estimation is territory. Just like in chess there are several things factored in - other than material - and all are estimated as pawns. I guess expert systems really are a dead end in

Re: [Computer-go] OT (maybe): Arimaa bot notably stronger

I played few games against bots in arimaa.com and they seemed to react. I think the eval can be used for that? I did not find the game interesting. Just being hard for computers does not make it fun. So I quit playing after few games Petri 2015-04-23 18:32 GMT+03:00 Stefan Kaitschick

Re: [Computer-go] fast + good RNG

Assuming you are using some sensible OS there better ways profile than sample like oprofile for linux. There is similar thing for FreeBSD I think. No instrumentation san sampling gets automated Petri 2015-03-30 8:05 GMT+03:00 hughperkins2 hughperki...@gmail.com: 40% sounds pretty high. Are

Re: [computer-go] one more look at the scoring function

They also all lose games on endgame same manner. Having won a game by 30 pts they start giving away those points for - sometimes - imaginary safety, allowing other player to come within striking distance. Some sort dynamic komi would be nice in endgame, but would probably not work. In Handicaps

Re: [computer-go] Live broadcasting at UEC Cup

2009/12/1 Rémi Coulom remi.cou...@univ-lille3.fr David Fotland wrote: I'd like to thank all of the people who organized the UEC tournament for providing machines and operators to allow Many Faces and others to participate. I'd like to suggest that the UEC organizers consider using a Swiss

Re: [computer-go] Hahn system tournament and MC bots

Well No, this games game lot harder. Even when point matter, 1st goal is to win the game in traditional sense to get any points at all. Which make just as hard as normal game. Then comes huge risk assesment risks involved. Lets assume - not so rare case - that you can go for the throat or attack

Re: [computer-go] Joseki Book

Only papers I can recall are from seventies (assuming you mean academic papers) from Wilcoxx. I may have electrical copies. Not sure though. I managed to find some of them from ACM site. That paper described position based approach where each and every stage was stored into datastructure, kinda

Re: [computer-go] Re: First ever win of a computer against a pro 9P as black (game of Go, 9x9).

On anecdotal evidence: Manyfaces on medium time settings KGS = 2k (accounts manyfaces and manyfaces2) Manyfaces1 playing round 10 sec/move is able maintain 1d rank. So by reducing oppponents thinking time bot gets relative advantage of 3stones. Also in chess it is uusually considered that

Re: [SPAM] Re: [computer-go] Re: First ever win of a computer against a pro 9P as black (game of Go, 9x9).

I cant recall any offocoal challenges. I do remember some such statement in some other challenge, but failed to google it up. Human computer chess challenges are not likely to happen anymore. What would be the point for human? Hydra could probably beat anyone. And as processors get faster any of

[computer-go] MC hard positions for MCTS

Hello, Are there more peculiar situation that will cause problems for MCTS apart from the three I know. 1. Nakade (this is partuially solved in most of the programs) 2. Semeais 3. Double Ko. Last one was new to me. See http://files.gokgs.com/games/2009/10/26/ManyFaces-Hyoga.sgf In that game

Re: [computer-go] MC hard positions for MCTS

That is well known fact of go, that usually defence is easier. But evidence is anecdotal. Getting real evidence from real games cannot be automated as all concept involved are rather vague and difficult to classify. Hence I am willing to accept such information as passed on to me in books like

Re: [computer-go] Handicap games collection?

I dont have but harvesting those from KSG archives should not be too difficult using Pelr/mechanize or similar system. Remembering to put sleeps into scripts as not to overload the system. Start f.ex by getting the list of 100 player and see through their games. Petri 2009/10/20 Petr Baudis

Re: [computer-go] Great Wall Opening by Bruce Wilcox

Not really a compuetr Go issue, but I do not think that great wall is superior even when completed. It is not too bad but it needs a definite strategy from wall owner. I.e building side moyos using wall as a roof and hoping that the other guy gets nervous and jumps in. So by being patient is

Re: [computer-go] Neural networks

Neural network tend to work well in those cases where evaluation function is smooth, like backgammon. Even inbackgammon neural networks do give good results if situation has possibility of sudden equity changes like deep backgames and deep anchor games. Top backgammon programs 3-ply search on top

Re: [computer-go] Dynamic komi at high handicaps

Maybe they are long way from giving handicaps to you. But best of bots in KGS are around 2k and there are hundreds of 9k and weaker players present there at all times. So being able to play white is worthy thing at least for commercial bot. Petri 2009/8/13 Christoph Birk b...@ociw.edu: On Aug

Re: [computer-go] Roadmap 2020 - using analysis mode to improve programs

2009/4/23 terry mcintyre terrymcint...@yahoo.com: Programs which get semeai and seki right every time might be a few stones stronger. They'd certainly be more valuable as teaching tools. In the game above, a stronger program would have exploited my earlier weakness; this would have encouraged

Re: [computer-go] Libego benchmarking

Because your time measurement has gone wrong. You get 0 seconds in time hence kpssa in infinity. Petri 2009/4/23 Michael Williams michaelwilliam...@gmail.com: Here is my full set of numbers.  I wonder why the known kpps/GHz but unknown kpps. = Benchmarking, please wait ... = 20

Re: [computer-go] Fast ways to evaluate program strength.

2009/4/8 Zhiheng Zheng zhiheng.zh...@gmail.com: I think most of test are designed by people  who is stronger than best computer go program. So if MC program fail to pass a test, it is most likely MC is wrong.  MC program is strong in some aspect, but week in other aspect. And the test suit is

Re: [computer-go] Published source for mercy rule?

Libego has one type of mercy rule. Petri 2009/2/27 Seth Pellegrino se...@lclark.edu: Hello list, I've managed to track the idea of a mercy rule in monte-carlo playouts back to a mail sent to this list by David Hillis: http://computer-go.org/pipermail/computer-go/2006-December/007478.html

Re: [computer-go] Selling a computer go program

Commercial market for Go software is in Japan in Korea. Western player do not make significant numbers and Chinese probably find bettre uses for money - although there more reach Chinese people than people in Finland. Petri 2008/11/21 Michael Gherrity [EMAIL PROTECTED]: Hi, I have read that

Re: [computer-go] Kaori-Crazystone

2008/9/4 Rémi Coulom [EMAIL PROTECTED]: only 5k, so I cannot really tell. But when I see the horrors it plays in some games, I suppose it must play much stronger than 1k in some other games in order to get a rating of 1k. Look for instance at these two games: a win:

Re: [computer-go] What Do You Need Most?

2008/7/28 David Fotland [EMAIL PROTECTED]: The traditional programs are around 10 kyu, but the new ones are 2 to 4 kyu, at least on KGS. I've seen some handicap games against dan players that are consistent with these ratings. It wouldn't surprise me to see 1 dan from an MC program before

Re: [computer-go] manyfaces on KGS

Is the KGS manyfacesofgo MC version or traditional. Just seems to tenuki quite MC fashion Petri Pitkänen -- Petri Pitkänen e-mail: [EMAIL PROTECTED] ___ computer-go mailing list computer-go@computer-go.org

Re: [computer-go] My experience with Linux

2008/4/9, Don Dailey [EMAIL PROTECTED]: Since I sell software, building Linux apps is out of the question, since Linux users will insist that I give them my work for free. I don't have any issue whatsoever with making money by selling software either. I'm not one of those guys

[computer-go] CGos 19 cannot view game records

Is just my problem or do others have it. When I try to download for example: http://www.lri.fr/~teytaud/SGF/2008/01/30/17067.sgf I Get 403 response with following line: You don't have permission to access /~teytaud/SGF/2008/01/30/17067.sgf on this server. Cheers, Petri -- Petri Pitkänen e-mail:

Re: [computer-go] 19x19 Study - prior in bayeselo, and KGS study

2008/1/30, Don Dailey [EMAIL PROTECTED]: It would get it eventually, which means this doesn't inhibit scalability. Having said that, I am interested in this. Is there something that totally prevents the program from EVER seeing the best move?I don't mean something that takes a long

[computer-go] LIBEGo optimum parameters

Hello, Has anyone experimented with libego parameters? What would be reasonable starting point on configurations on 19x19 board? I am considering using GnuGo to give the moves MC is allowed to simulate for first couple of plies in simulation and then pure random. Just to see if it makes any sense

Re: [computer-go] Is MC-UCT really scalable against humans?

2008/1/22, Eric Boesch [EMAIL PROTECTED]: On Jan 22, 2008 1:43 AM, Petri Pitkanen [EMAIL PROTECTED] wrote: Even top MC programs fail to see that a group with 3 liberties with no eyes is dead. A 3-liberty group with no eyes has a 100% chance to die during playouts unless a surrounding

Re: [computer-go] Is MC-UCT really scalable against humans?

2008/1/22, Erik van der Werf [EMAIL PROTECTED]: In the future, when humans are consistently defeated by computers on 19x19 and the remaining players move up to a more 'interesting' size, will you be claiming that 19x19 isn't Go either? E. Maybe I will, but 17x17 is quite like 19x19, While

[computer-go] Is MC-UCT really scalable against humans?

So far I played these MC programs at it seems they are doing well against humans mostly because the moves they play are bizarre and some times throw unreasonable contact fight challenges. They win more often than they deserve just because many weak players (like KGS 4k level players are) quite

Re: [computer-go] How does MC do with ladders?

2007/12/11, terry mcintyre [EMAIL PROTECTED]: With Go, there are many situations which can be read out precisely, provided that one has the proper tools - ladders, the ability to distinguish between one and two eyes; the ability to reduce eyespaces to a single eye with an appropriate

Re: [computer-go] How does MC do with ladders?

2007/12/11, Don Dailey [EMAIL PROTECTED]: Hi Petri, I happen to think that MC is the most human like approach currently being tried Ye in sense Alpha-Beta is human like. It one feature we do and takes it to extreme. And using different method of evaluation. . The reason I say that is that

Re: [computer-go] The global search myth

There is something that the latest Monte Carlo programs have in common with the best chess programs - and seems to be the right way to structure a game tree search.Your selectivity should be progressive. In order to do this correctly you must re-visit nodes many times. Chess programs

Re: [computer-go] Effective Go Library v0.101

2007/2/16, Nick Apperson [EMAIL PROTECTED]: trouble. Also, the alternative is usually function pointers which have atleast 50 times the overhead of a function object. Correct me if I'm wrong. - Nick function objects really cannot be 50 times more efficient as function pointer are rather

Re: [computer-go] Gnugo vs commercial programs

2007/1/11, Don Dailey [EMAIL PROTECTED]: 50 X speedup sound rather impressive but it's not that much. It's probably made go programs about 2 or 3 stones stronger over the few years that it took to get hardward 50X faster about what you would expect. But it is hardly that much. Current

Re: Fw: [computer-go] Re: Interesting problem

opponent and eventually could have passed for free. Had game been under Japanese rules I would have been 'forced' to think whether reply was needed and thus think a lot longer time for replies and possibly lost on time because reply would have been needed probably too often. Conclusion: Under

Re: [computer-go] Re: Interesting problem

2007/1/4, Don Dailey [EMAIL PROTECTED]: No, this inhibits the application of skill. A silly invasion that wastes time is punished in all rules sets, but in Chinese it may not be silly if it doesn't waste time - Japanese rules unfairly defines these moves as silly. It is silly if opponents

Re: [computer-go] professional game libraries for pattern harvesting

Or use p2p and the pirate bay. Using serch word SGF you should find about 40 000 game collection from moyo-go. Or even easier The Torrent: http://torrents.thepiratebay.org/hashtorrent/3420315.torrent/40_683_Professional_Go_Games_Collection.3420315.TPB.torrent As game records are not