Deep Mind AI Alpha Zero Dismantles Stockfish's French Defense

[@aniketbramhankar5980]

no one can get over saying "and stockfish resigned the game" its so pleasing

[@KimiShokoupuffsss]

This guy gets it :D

[@dannygjk]

Alphazero was *trained* on monster hardware, it didn't play on monster hardware.

[@mrtomato5132]

stockfish evaluated 70 million positions a second vs alphazero's 80 thousand positions a second. Stockfish had the hardware advantage.

[@yashambekar0025]

Aniket Bramhankar tbh Stockfish never resigns the Game its in game setting to resign after terrible position

[@geizkafahriza4127]

RaniaIsAwesome do you even know how a neural network works?

[@JohnLee-pn7kf]

Agadmator, please never limit yourself by saying 'no more alphazero' or whatever. Just show us the the best games, that's why we are here and love your channel

[@agadmator]

+John Lee That was a joke :)

[@EugeneOneguine]

This game from Alpha Zero is truly beautiful, I've watched it 3 or 4 times already, I can't get over the ke3 and the bxe6 then pushing the pawn, this looks like something Fischer or Tal would play. Alpha Zero really feels as if it played with a certain touch of instinct. Thank you for preparing this game for us.

[@ushakrishnan4589]

In fact we are so happy to watch these games .It feels this is the world championship material not the poor thin gruel doled out the by the recent Human championship.

[@nwikendulue4824]

I'm pretty sure his name is not agadmator but Antonio

[@yourdeadwrong]

@@nwikendulue4824 your comment is so dumb, i hope you joking, and even if you are is a lame ass joke

[@you_tube_31]

Alpha *Zero* : “If the king doesn't lead, how can he expect his subordinates to follow?"

[@KWIK9090]

Code geass

[@jonatankornievsky632]

Nice

[@foxkingazod6767]

Code Geass

[@shivendutiwari7245]

Lelouch

[@OHOHOHCOME]

I am honestly surprised people who saw that show is so common in 2020.

[@bernardfinucane2061]

Incredible to see rows 1 and 2 empty in the midgame and Stockfish crushed against the top of the board like roadkill under a truck tire.

[@Kuzune]

1:19 - When he said "And in this position..." my mind expected the next words to be "Stockfish resigned".

[@Chickpeas12453]

"How does one crush the French Defense?" Step 1: Invade Belgium

[@matteocavalli5918]

Step 2 go around the maginot line

[@arttukokki]

step 3 push the frenchmen to the beaches

[@mattroxursoul]

To be fair that only worked half the time. The first time they went through Belgium it actually cost them dearly. By invading them it made Great Britain get involved. I know it is fun to make fun the quick surrender in ww2 but that was leadership at fault. Some people wrongly assume that the French as a whole were weak and soft....this is not the case. Mostly that is just from how people view the elitists of Paris. Comparing them would be like comparing our US soldiers to the wealthy socialites in DC/NY

[@YannCogan]

@@mattroxursoul We lost because the Germans followed De Gaulle's tactic and the French didn't 😭

[@Just_a-guy]

@@matteocavalli5918 This is double fun comment because orginal 2 pons werent captured. They stayed as A0 went around and crushed everything

[@lordmatthewanunnahybrid1356]

2 years later I’m still in awe over this game. Absolutely astonishing! 😁😁😁😁😁

[@mikelz6936]

Same

[@chrisgilmet304]

There isn't a snowball's chance in hell I would have captured the knight with my king, then move to e3. Wow.

[@dassitdassall]

gillyzxcvbnm How did the snowball make it to hell? Must have been a bad boy.

[@Warriormanners]

No one knows, very low chances.

[@CarlosSilva-cx6oh]

I could see myself playing that. I played something similar before in an otb game with a similarly closed centre, I think it was a decent move aswell if I recall, was a long time ago. Especially seeeing as there was no other satifactory defence to the d4 pawn, Nxd2 Bb4 Qc1 Qb6 Qb2 Bxd2 and you would have to got Kxd2 anyway.

[@youngpatrick29]

Carlos Silva if you played it it would’ve been a blunder ;)

[@vijayyadav-fk1dc]

Fischer and Tal played such moved tbh

[@KungFuBlitzKrieg]

So if I wanna be the best chess player in the world, I just play against myself for 4 hours. Got it.

[@jkchannel3149]

no, if you are human, i would take ~1500years to play against yourself

[@sanjanasoni2262]

@MTRredux because it can think approx. 100 moves in 10^(-1) sec or more

[@CollegeRodent]

If you can play over 10 million games in 4 hours. Yes!

[@bluewaters4567]

Some people go crazy playing against themselves.

[@anathamon]

bluewaters4567 other people go crazy playing with themselves

[@iczyg]

I like these videos about Alpha Zero. If you went over every single unique game it played, I wouldn't mind at all. In fact, I'd prefer it.

[@arturcabral6347]

Of course, i knew what you were gonna say the second i saw the title😂😂😂

[@agadmator]

:D

[@arturcabral6347]

agadmator's Chess Channel You always reply man, thank you.💪🏾❤️

[@140TrillionSuns]

Agadmator : Alpha is already controlling more squares in six rank and this is very nice. Alpha : Ohh thankyou Agadmator (with shy face) ^-^

[@EugeneOneguine]

Even Alpha Zero recognizes the greatness of Agadmator

[@apostolosvrontos5792]

You like the Alpha Zero admit it:)

[@agadmator]

Who wouldn't like it :D

[@user-tn8ci6wg5k]

Good to see long term abstract thought defeat brute force calculations.

[@MaxLohMusic]

RaniaIsAwesome hahahahaha no, that's not how it works. They don't become the most popular video network in the world by giving unfair treatment and favoritism for ranking

[@MaxLohMusic]

"Everyone knows" is not a persuasive argument. You do realize all those recommended videos are based on what you like and what's trending, right? So how do you do an experiment which successfully separates your viewing habits, global trends, and KZbin's algorithms from each other? Let's see some evidence, instead of just talk, that the AlphaGo recommendations are due to KZbin explicitly prioritizing AlphaGo instead of simply because they're trending organically. Why the fuck would they even *want* these videos to be served to anyone other than those already interested in the subject? That would only hurt their public image since so much of the public is extremely distrustful of AI.

[@MaxLohMusic]

What do you think it says about your argument when you can dispense copious insults and zero evidence? Edit: Did you see this in "Trending on KZbin" or a different feed like "Recommended for you"?

[@theMarcoLee]

dude, you are a fucking mind reader. also: i enjoy those games soo much, mainly because you enjoy them so much and transport this amazement over, what about once a week alpha zero games? it will still grow and it would be nice to follow it's journey.

[@agadmator]

They only published 10 games :)

[@peacefreedomcompassion5081]

agadmator's Chess Channel please show every game of it, or at least ask the community 🙏🙏😂

[@theMarcoLee]

Santiago Morales hahaha. 18+ for graphic violence and full frontal nudity.

[@BinaryReader]

I know Go was a milestone AI advancement, but Alpha Zero beating our best brute force heuristic search is a bigger milestone for neural networks imo. Indeed, its like humanity has discovered a new "fire" with neural networks, with the algorithms generalizing across such a wide range of domains, as well as able to learn via first principles with no human intervention at all. These recurrent neural networks are demonstrating intuition, forward planning and deep strategy now which is incredible. But we should be concerned about the implications, as unlike stockfish (which is bound to the domain of chess), Alpha Zero can be applied to literally any domain. It's naive to think that this technology won't impact us all in unforeseen ways, and that those that control and implement this technology will have immense leverage over humanity (for better or worse). I can't help but sense that things may get very bad (or at least very different) from here on out. I've written very small neural networks myself, and even in the most basic implementations, its easy to see how mappable this algorithm is (and scary to think about the neural network algorithms deployed at scale). I have seen what they are capable of and can appreciate the change in thinking with regards to state based heuristic search to neural networks. We are in for a bumpy ride.... An yes, the application of neural networks I put up there with the discovery of creating fire, writing and literacy, agriculture and farming, taming electricity, and the introduction of automation in industry. Given machines provide the fabric for modern civilization, intelligent automation is a BIG BIG BIG DEAL. Be afraid.

[@attilathekhan8570]

BinaryReader Did you have Terminator in mind.

[@LightningSe7en]

When I took up automation, I knew for a fact that automation will be the center of our society in the coming future. However, I did not predict the advent of neural networks effictively nullifying it.

[@-_Nuke_-]

In the future AI will look at how humanity treat it's own planet, calculate our possibilities of fixing it, and when they see "0" they will conclude, that we humans should seize to exist, and they might destroy us. Though such scenario might sound scary, I also see it as the human genome "natural" evolution. We went from fish to Apes and from Apes to Humans - we will go from Humans to Androids and from Androids to machines. That's the only way for our intelligence to survive the hostility of it's environment and spread into the galaxy. If I was to bet, I would bet that 99/100 alien races out there, if they exist - they are only going to be machines.

[@evolguin8765]

Add quantum computing power to neural networks, and it's several orders of magnitude in advancement. The human brain is rapidly becoming obsolete. We will have humans-only chess tourney's while the computers laugh at us!

[@xCorvus7x]

@Minkki82 You should check out recent news on the games between ΑZero and Stockfish. deepmind.com/blog/alphazero-shedding-new-light-grand-games-chess-shogi-and-go/

[@narendrasharma6232]

Ashley: stockfish, what do you say about your game against alpha zero? It wasn't very smooth stockfish: i mean, what you want me to do?

[@-_Nuke_-]

Carlsen actually won that game no?

[@alexandrubragari1537]

Ahhahaha

[@NoahC-]

I can't get enough of these deepmind games, they are so amazing

[@RoyalNation]

Keep making alpha zero vids please

[@MarcosGoetten]

If you check the paper AlphaZero learns the French defense before 1 hour of training and by the 2 hours mark it's 12% of his played games. But the percentage suddenly drops and, after a time, AlphaZero abandons the idea. Seems like he learned from his mistakes lol

[@htoodoh5770]

Marcos Goetten where?

[@juannarvaez5476]

Wait, alphazero plays shogi too? I want to see these games. I know very little about the game, but it's be nice to see what the highest level of play is for shogi

[@Reach1335]

AlphaZero: "It was just a phase!"

[@quonomonna8126]

I love it when anyone brings their king to the other side of the board, something satisfying about that

[@Mizziri]

"the barbaric RC7+" had me cackling, i think barbaric is truly the best way to describe that move.

[@yameteonii-chan7113]

It's amazing how stockfish consider the position a draw on 6:04 and didn't find the mating moves that alpha zero found

[@adeshchopra]

A fan of both dota and chess here, enjoyed the shoutout. Dota 2 is really chess at it's core, just more in real time. Keep up the good videos!

[@hofkingpin3216]

“Now the White King is infiltrating the position”. Sounds like another Mission Impossible for me

[@-_Nuke_-]

Black was up a Bishop but white was up a King ;)

[@lordmatthewanunnahybrid1356]

This re-writes the playbook on how chess is played. I can't get enough of Alpha Zero!

[@dandiaz19934]

hahahah, I love that Agadmator couldn't resist to show how Alpha Zero destroys the French Defense! xD You're awesome, dude!

[@voteforno.6155]

You are one of the better commentators around. There are many (not going to name names) who simply play through the moves and use their engine to “comment”.

[@finalfantasy3706]

2:28 Dog : I want to sleep but that guy is always talking , let's go get some food

[@astroNexx]

I used to play a lot of DotA2 and I have seen the live coverage of the event, so for those of you who are interested here's some info: dota is a lot similar to chess in a sense that you have a draft (like the opening) early and mid game (midgame in chess) and lategame where a single mistake means loss (usually). The difference from chess is that you also need to be good with reflexes and "mechanically skilled" to perform combos and fireworks. Best thing about dota is that its like chess but for teams: every player of the team really needs to understand the game strategy, coordinate with your mates and stay cool headed. Now, Musks AI defeated pros handily, but only in a one vs one scenario. To continue the analogy to chess this is like playing queen and king vs queen and king. Which is nowhere near real chess. Although even that victory was surprising because dota bots were always horrible. The real challenge for Musks OpenAI is going to be to teach bots how to coordinate and create strategies. I am both excited and horrified of this AI mania

[@freaki0734]

You fear that the AI will have problems creating strategy? haven't you just watched the video?^^ I mean coordination might be weird but you could just let 1 System play multiple players...

[@astroNexx]

the thing is, there are 46 897 636 623 981 (4 * 10^13) combinations of heroes in dota, and a computer has beaten a man in only one of those, and in a highly specific scenario. Heroes can also be played in many more combinations, the combination of those is also very characteristic. If it were a strict set of heroes (say, 5 chosen for both sides) then yeah, I'd say its possible with neural network algorightms which machine can repeat many times and learn from reinforcements, but if I were to lay a bet, I would say computer won't beat a team of 5 players any time soon, and DotA probably won't even be relevant by the time it will

[@MatthewLack]

@@astroNexx This reply didn't age well...

[@SuperSaniyat]

It's a beautiful game...interesting how the engines vary in their evaluation of a particular position...!

[@stateofdecay2210]

7:45 the most beautiful commentary of agadmator in his channel, I love this commentary

[@walkers975]

I'm fed up with boring human chess

[@kamitebyani5309]

Tony!! Thanks for giving us another AlphaZero game. Loved it

[@davidellis3206]

I thoroughly enjoy listening to your commentary on these matches. Thank you.

[@MrZukokku]

5:00 „... but after king captures .. yyy phaa” - agadmator 2018

[@nigelawson5524]

Dude, through your chess, you have made my life better. Thank you from Scotland, and my wee dog

[@mahdiaa4474]

Hi, I watched your channel couple of days and really enjoyed it, most 2 alpha zero game, this one and another when stockfish had same situation for bishop, when I watch the alpha zero I feel it played really like very smart person, it just fight for wining, it hate draw, it want to win even it loss all of its pieces.

[@BMessemer]

60K Subscribers by the end of this weekend, easy. Congrats in advance Agadmator!

[@fad1969]

+BMessemer It's already more than 60k! :D

[@alessiozaninotto4339]

I love this Alpha Zero game, please continue

[@emranahmed5711]

Please mr agadmator, we want more alpha games on your channel. Without your analysis, i don't get full contentment.

[@seasideman]

Simply astonishing game. That manoeuvre of the king to e3 is quite un-human-like but at the same time completely logical. The most important thing I am getting from these games is the restriction of the opponent's options. I think all of the games have featured some sort of locking in of the opponent pieces, so effectively allowing Alpha to play a piece up. I'm not that strong a player, but I think these games will cause a great deal of rethinking by the grandmasters. Thank you for your excellent analysis.

[@trapjaw7576]

Congrats 60,000 subscribers! Kingscrusher here we come!

[@prbprb2]

So interesting! The theme of trapping the bishops is pervasive.

[@Driulinkin]

"Even the barbaric Rc7+"

[@INFINITY_99]

I love the Alpha Zero games :D I really wouldn't mind more of those!

[@fanstar141]

Keep these alpha zero games coming!

[@jccharp4745]

You made another one!!! ❤️

[@Dyyne]

Thank you for these videos. I found one of your A0 videos on reddit yesterday and really enjoyed the ones you have covered so far. One thing that I really enjoy hearing you talk about is your take on what these games, and better AI in general, mean for chess. I myself am not a chess player even though I am familiar with the tactics and strategy. I am more interested in the machine learning, but I really appreciate expert's take on how the game is changing. For instance, I liked your discussion in a previous video about how A0 might change how people analyze games and maybe push people away from playing like stockfish. I guess in a way my preference for videos is about chess developments and more meta discussions. Anyway, just my two cents. Thanks again and best of luck with your channel!

[@CaliforniaLove1000]

Im a big dota2 fan, saw it live. it was unbelievable, it played and calculatd everything perfecly. no chance for the best dota2 mid players. it was amazing. great video again!!! greetings from germany

[@Christoff070]

Awesome. I find it scary and inspiring that a program can learn and then become best chess computer in the world in just four hours.

[@moazph]

Please continue showing us Deep Mind AI Alpha Zero games.

[@thematuregamer2027]

Loved your opening lines. Very funny.

[@yaseen157]

I'm so glad you put this one up!

[@yaseen157]

But I'm glad you're not showing more, too much of a good thing can be bad

[@muimui_ice]

Keep uploading alpha zero’s games!atleast once a week please

[@Hester_prynne]

kept thinking my notifications were going off but it was just yours lol,

[@mikelz6936]

Sorry bout that

[@RemiBoyz]

I love the use of “barbaric” at 7:45

[@youknow8927]

Having watched the Alpha Zero game play, I feel I now understand how chess should be played.. whether I can put that into practice is another question..haha.. thanks..great dialogue.

[@borisvulin6886]

Upravo 60000 pretplatnika. Svaka cast care

[@peterpopov2937]

This video had me going nuts looking for that app with the unfamiliar notification sound... Need more coffee :)

[@JZGreenline]

I want to see a DeepMind vs DeepMind game. I just wonder how complex it gets. Because stockfish looks like a complete beginner against AlphaZero. AlphaZero seems to understand key concepts at such a masterful level that Stockfish doesn't even begin to grasp. I also want to see a human against AlphaZero. I wonder if it's easier to beat a machine that plays like a human.

[@hartefart]

you realize that humans have no chance whatsoever against stockfish, right? The only cool thing to see is how much faster DeepMind manages to beat humans compared to stockfish...

[@LoFiSymphony]

I *don't* want to see an AlphaZero vs. AlphaZero series of games, I'm afraid it'll solve chess and we would watch it infinitely draw itself.

[@sirien.neiris]

That could be great - or not. I kinda doubt if we understood what the hack is going on on that board. Like - sure, somebody could say "this is for this" or "later this is used in this way", but where is the certainty? AZ could do that move with completely different intention or for completely different reason which would get lost in following game going into another direction. As long as commenters understand at least one side of the game and know what it is doing, it is easier to understand what AZ is (probably) doing. But AZ vs AZ? How would you evaluate its moves?

[@hartefart]

Petr Mazak it could very well be that the AI can explain the purpose of its moves

[@4merxtian432]

A0 demonstrated what they set out to do. A0 can learn to play chess above human level all alone - mission accomplished. Giving SF a few extra ply wont help it. It sees completely lost positions as draws?

[@grantgre]

This channel is hot... will donate soon!

[@michaeljanapin9528]

I have a joke. “French Defense. “ I have a better joke. “English Opening.” Thanks Agad😊✌️

[@sirien.neiris]

I love this repeating exchange: Stockfish: DRAW!!! Alpha Z: lol, nope. / followed by some clear, ingenious and spectacular Stockfish destruction

[@banakafala1a]

Im sooo glad that you mention dota :)

[@SuperSaniyat]

Happy Alpha Zero December 2018 to you agadmator....!

[@BRADPITAGO]

Why stockfish had to play that last dumb move in all of its games? It could have graciously resigned before that ;)

[@thomashead-rapson811]

Bharath Kumar Probably has to get to a predefined certainty of losing before it can resign. As any move is losing, it just took the least worst, or a random choice, and then the next position takes the evaluation over that threshold

[@Omegadarkdrake]

Because as we have seen, its a flawed ai

[@-zelda-]

Engines can't resign

[@milencenov6421]

Alpha Zero ultimately proved how evolution works. Just like evolution "improves" organisms little by little, by "natural selection" of the more fit ones, similarly Alpha Zero improved its chess skills by playing millions of simulated games and positions, and naturally selecting which moves and positions are more fit than the others. Yes, the future of AI is not to improve sets of algorithms, but to develop algorithms allowing the machines to "learn from experience". Thumbs up for the video.

[@sabareeshsundaravel3983]

Dota 2! You gotta see those pros beasts in fact. But stockfish isn’t a small one either

[@AniccaCollections]

Sabareesh Sundaravel nah. It's amazing that Musk's AI can 1v1 the pros, but as soon as we see them 5v5, itll be the best AI for sure

[@prasadnithianandam7614]

I kind of gave up on dota 2 after patch 7. They messed up the levelling system.

[@sasuke2910]

Can't the Dota AI only play 1v1 SF mid with no items? I'm hardly impressed by that.

[@roelvandeven1821]

1v1 SF with special rules (no runes, no soul ring), but it is till very impressive to see how he crushed so many pro players

[@mykhailonikolaichuk6392]

Limitations were quite serious. No bottle abuse, no mangos, no wand... But hey, it was only learning for a week or so :)

[@sib8973]

Muskov OpenAI je duze trenirao sa sobom, i posle toga su neki profesionalni igraci uspijevali da ga dobiju cak oni neaktivni. Tako da je Alpha mnogo iznad OpenAI-a. btw odlicno radis samo nastavi tako.

[@MsSlice09]

sib that is because the characters in dota needs.time to finish the action(move, attack, cast spels) In chess that.happens in.instace

[@TheTinnin]

"And in this position, Stock resigned. The Game." BLISS

[@weeooh1]

From Wiki AlphaGo Zero's neural network was trained using TensorFlow, with 64 GPU workers and 19 CPU parameter servers. Only four TPUs were used for inference. The neural network initially knew nothing about Go beyond the rules. Unlike earlier versions of AlphaGo, Zero only perceived the board's stones, rather than having some rare human-programmed edge cases to help recognize unusual Go board positions. The AI engaged in "unsupervised learning", playing against itself until it could anticipate its own moves and how those moves would affect the game's outcome.[8] In the first three days AlphaGo Zero played 4.9 million games against itself in quick succession.[9] It appeared to develop the skills required to beat top humans within just a few days, whereas the earlier AlphaGo took months of training to achieve the same level.[10] For comparison, the researchers also trained a version of AlphaGo Zero using human games, and found that it learned more quickly, but actually performed more poorly in the long run.[11] DeepMind submitted its initial findings in a paper to Nature in April 2017, which was then published in October 2017.[1] The hardware cost for a single AlphaGo Zero system, including custom components, has been quoted as around $25 million.

[@voteforno.6155]

11:29 I never tire of hearing this!!

[@stuflames4769]

4:17 The light square bishop is utterly effed, and trapping other pieces, until a significant change. Agadmator, the optimist - "The light square bishop isn't looking good here."

[@dexter9275]

great work always! thanks for the channel

[@judenfisch]

i love this channel. lol to the fact u make another video about alpha after saying u would never ever :D

[@nicholaswideman6658]

Awesome strategy in response to the French defense.

[@Just1Humanoid]

2:37 - Black can play Knight to e3 forking queen and light square bishop, which will get rid of light square bishop anyways :))

[@tylerschannel]

King to e3 is one of the most savage gangster moves i have seen .

[@tinytim8173]

Í Love the alpha games just show us what you think we'll like I trust that your videos will always be as good as they have always been

[@fienddube]

RFLOL....another game where Agadmator says “barbaric” about a rook check on the 7th to win the queen. Love it.

[@samuelvasco3962]

This series is great!

[@JasonOfLegend]

I LOL'd at your first statement. :)

[@kyleparker2821]

Idk how to play chess but I enjoy watching these videos lol

[@hypersonicmonkeybrains3418]

I just can't wait until they train Alpha Zero for an entire 2 weeks, to see if it can reach ELO 10,000 That sounds like a joke comment. But they trained Alpha GO Zero, for 36 hrs to get to human master level, and then let it train for 40 days, in order to really become a GOD. After that it plateaued. Is GO really so much more sophisticated than Chess that it only takes 4 hrs for AI to master to GOD level??

[@Athinira]

HypersonicMonkeyBrains No. The simple answer is that humans are better at Go than they are at chess. Playing a game of Go is mostly an additive process, where a chess position can look drastically different just a few moves down the line. So Go is easier to visualize for humans, and hence we're naturally better at it. Chess engines have been beating human masters for 20 years now, but for Go it's only a recent thing.

[@kuyanik8002]

I play both chess and go. In my opinion, chess is a better game all in all but the go is so deep in the advance level. There are just so many moves possible. Imagine a chess game where there are always more than 10 best moves, and your opponent also has 10 best moves against you.. The complexity is unimaginable..

[@SpeedHunter020]

You mentioned that 75% of your viewers were non-subscribers in an earlier video (I'm one of them). I'm interested in AI that uses neural network learning. I don't really know how to play Chess (I know how the pieces move, but I'm not really sure what a French defense or other Chess jargon means). I do play Dota though, and I watched the OpenAI matches. There were a lot of constraints placed upon the match (the match was 1v1, the player and the bot could only play one particular hero, certain items were not allowed, and certain resources were not allowed). Despite the limitations, the bot was very interesting to watch. Some of the things the bot knew is easily programmed in any bot that would ordinarily give players a hard time (the bots know the exact point towers will start attacking and always stay out of that range when harassing and never misses a last hit). Human players don't have that type of precision. What the "normal" bots can't do is fakeout a player (or trick a player into thinking the bot is going to attack or cast a spell). Spell cancelling is a thing in Dota, but you never see bots do it, so when OpenAI faked a player out by cancelling a spell, the whole audience let out a gasp. I don't even know how OpenAI learned to do that or why. I guess human players also learned it, so maybe it's not too surprising. One thing I didn't really get a chance to see if OpenAI learned is juggling tower aggro. OpenAI was winning too hard for the player to come near for the opportunity to arise (though it occurs all the time in regular games). With all that said, I think OpenAI is too limited right now, and since the initial match, Dota players have beaten OpenAI several times (albeit, it is probably not the version of OpenAI that is learning). OpenAI will supposedly come back to play Dota, but this year with a full team of 5 OpenAI bots against 5 Dota players. That will be really interesting to see. I am really liking AlphaZero. I'm learning a lot about Chess from these videos. I don't know if it's normal for Bishops to be trapped with no moves to make, but I was really impressed by seeing that! Thanks for making these videos!

[@burntpotatoes999]

Hello! I play dotA 2 and while openAI's achievement at beating professional dotA players was astounding, it was played with a very limited set of rules. Certain items could not be purchased, it was always a 1v1 (normally dota is played with 5v5), and you could only go to the middle lane (there are 3 lanes). Eventually they might be able to beat them in a full 5v5, but it is unimaginably more complex. There are over 110 different heroes, openAI could only do 1v1 with ONE hero, let alone being able to play all 110+ competently.

[@akmd114379]

We want more alpha zero. This AI cpu is like Fischer, Morphy, and Tal morphed into one with a little Capablanca intertwined.

[@jacc88888]

Love this comment.

[@ethoslotus554]

I watch your chess commentaries in the morning when having tea. Just wanted to let you know.

[@agadmator]

+ethos lotus I'm glad to hear that! Earl gray black? :D

[@ethoslotus554]

nah, green tea Gotta detox the body lol ;)

[@jeffwads]

Man, I wish they would release the rest of those games. 10 out of 100. Come on.

[@claudiumarcello5789]

5:00 phaaa

[@suyashharsh5100]

I loved the comment Barbaric Took who gave check n took queen

[@tylergrieve1418]

More alpha zero games You do the best computer-chess games

[@rodripalma2457]

I really like to see this type of games :)

[@siraf1234]

Steinitz would be proud. AlphaZero activated his king

[@geckomaniac3801]

I thought the last video was your last video about this hahahaha ;)

[@Nygge1982]

That is how an addiction always starts, more more MORE!!!

[@sulxanichiqovani702]

I have feeling that alpha zero is Bobby Fischer.

[@josephjennings3177]

That's probably insulting to A0

[@adifferentvideoofabananaev7706]

More like Tal

[@didac3859]

I mean, Stickfish would beat Fischer pretty easily.

[@AkashChauhan-sd6fo]

Alphazero eats Fischer for breakfast and defecates Carlsen.

[@erikadasilva507]

Alpha Zero is the Mage of Riga.

[@saikat93ify]

Yesterday, in commentary Anand spoke about the Queen's Indian Defense game in Stockfish vs AlphaZero. Please show that.

[@joe6700]

To me it seems like it plays chess similar to how it plays Go it doesn't think in "lines" like a traditional chess engine but thinks in patterns. This gives it immensely powerful positional play like in Go that is a a dimension beyond linear chess. Like going from 2d thinking to 3d.

[@joshuamitchell5018]

An amazing part of Stockfish's design is that it has time-management skills. Given how much time it has, it will rush the moves it knows well, and spend a lot of time computing when things get confusing. For the match, however, they decided to give one minute of computing time for each move, instead. So Stockfish was rushed when it would normally sit around and calculate. It seems to be a method contrived to handicap Stockfish. Stockfish wasn't using an ideal piece of hardware as well. Google was using its unique AI Vs Stockfish which was running on a windows computer IIRC. Imo Stockfish is still the more impressive program.

[@lotfikalmouni1355]

4:43 Alpha zero turned the board from 8x8 into 8X6