1 00:00:03,120 --> 00:00:07,480 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:08,480 --> 00:00:11,280 Speaker 2: Bloomberg reporter Kit Chillell has spent a lot of time 3 00:00:11,360 --> 00:00:15,560 Speaker 2: lately following Russian poker players, including one player who goes 4 00:00:15,560 --> 00:00:16,840 Speaker 2: by the name Farewell. 5 00:00:17,160 --> 00:00:19,000 Speaker 1: It can be a very lucrative way of making a 6 00:00:19,040 --> 00:00:21,959 Speaker 1: living if you're good, and Farewell is extremely good. 7 00:00:22,239 --> 00:00:25,919 Speaker 2: Farewell plays poker online and he's known for having a 8 00:00:26,040 --> 00:00:28,600 Speaker 2: very cerebral, disciplined approach to the game. 9 00:00:28,680 --> 00:00:31,560 Speaker 1: For him, poker is a serious business. It's a game 10 00:00:31,600 --> 00:00:35,200 Speaker 1: of probability in mathematics. He studies it. He has studied 11 00:00:35,240 --> 00:00:36,920 Speaker 1: it for years. It's no joke to him. 12 00:00:37,240 --> 00:00:37,440 Speaker 3: Well. 13 00:00:37,520 --> 00:00:40,720 Speaker 2: About a decade ago, Farewell got into a high profile 14 00:00:40,840 --> 00:00:44,840 Speaker 2: feud with another Russian poker player, someone with a very 15 00:00:44,880 --> 00:00:47,000 Speaker 2: different personality named Carpav. 16 00:00:47,159 --> 00:00:51,040 Speaker 1: He's kind of an internet personality. He dishes out life 17 00:00:51,040 --> 00:00:54,200 Speaker 1: wisdom on all kinds of subjects, from gambling through to 18 00:00:54,280 --> 00:00:58,240 Speaker 1: sort of romantic strategy. And he has some controversial views 19 00:00:58,280 --> 00:01:01,360 Speaker 1: that I won't air here. But yeah, he's sort of nationalistic, 20 00:01:01,440 --> 00:01:04,640 Speaker 1: right wing sort of character, quite uncompromising, but he does 21 00:01:04,680 --> 00:01:05,520 Speaker 1: also play poker. 22 00:01:05,920 --> 00:01:08,600 Speaker 2: As Kit tells it, Farewell was reading posts in a 23 00:01:08,680 --> 00:01:11,880 Speaker 2: Russian language chat room and something snapped. 24 00:01:12,120 --> 00:01:16,000 Speaker 1: So when Farewell saw Karpov on his favorite poker forum 25 00:01:16,440 --> 00:01:19,840 Speaker 1: talking about his experience with prostitutes, say or going out 26 00:01:19,840 --> 00:01:22,160 Speaker 1: and getting blind drunk, I think he took it a 27 00:01:22,200 --> 00:01:24,560 Speaker 1: little personally, that it was an insult to the thing 28 00:01:24,600 --> 00:01:27,520 Speaker 1: that he takes very seriously, and so he called out, 29 00:01:27,560 --> 00:01:30,000 Speaker 1: you know, this is complete nonstanse. I bet he can't 30 00:01:30,000 --> 00:01:33,839 Speaker 1: even play poker, and Karpov, of course replied almost immediately, 31 00:01:34,040 --> 00:01:36,440 Speaker 1: I challenged you to a fight, challenged him to a 32 00:01:36,480 --> 00:01:38,880 Speaker 1: one on one poker contest to prove that he could 33 00:01:38,920 --> 00:01:39,760 Speaker 1: do what he said he did. 34 00:01:40,120 --> 00:01:43,640 Speaker 2: Karpov had thrown down the gauntlet, a matchup between the 35 00:01:43,720 --> 00:01:48,360 Speaker 2: disciplined professional and the braggadocius troll. They arranged a table 36 00:01:48,360 --> 00:01:52,120 Speaker 2: on the website Poker Stars and the battle began. It 37 00:01:52,320 --> 00:01:54,480 Speaker 2: did not go the way Farewell expected. 38 00:01:55,360 --> 00:01:58,840 Speaker 1: They played a few hundred hands, and you know, Karpov 39 00:01:58,880 --> 00:02:01,480 Speaker 1: completely dominated. I think he won twenty thousand dollars by 40 00:02:01,480 --> 00:02:02,040 Speaker 1: the end of their. 41 00:02:01,920 --> 00:02:06,120 Speaker 2: Session, and that was it. Farewell had lost. He'd been 42 00:02:06,120 --> 00:02:09,240 Speaker 2: defeated by a bombastic, undisciplined wild card. 43 00:02:09,440 --> 00:02:11,600 Speaker 1: His pride was hurt, but I think he was also 44 00:02:11,720 --> 00:02:15,160 Speaker 1: aware that there are ways to get an unfair advantage 45 00:02:15,200 --> 00:02:18,800 Speaker 1: in online poker, and that Karpoff might have been using one. 46 00:02:18,720 --> 00:02:23,840 Speaker 2: Of those Farewell suspected Karpov had used a bot. Now, 47 00:02:23,960 --> 00:02:26,520 Speaker 2: this wouldn't have been a big surprise in other games. 48 00:02:26,800 --> 00:02:30,560 Speaker 2: Computers have outplayed humans in Chess and Go for decades, 49 00:02:31,280 --> 00:02:35,560 Speaker 2: but poker is different. It was long considered an unhackable 50 00:02:35,639 --> 00:02:39,440 Speaker 2: game that only started to change about ten years ago 51 00:02:39,520 --> 00:02:42,560 Speaker 2: when more and more poker bots started to appear online 52 00:02:43,120 --> 00:02:45,000 Speaker 2: and kid says they're winning. 53 00:02:45,360 --> 00:02:47,240 Speaker 1: So I came to this with the idea that I 54 00:02:47,240 --> 00:02:49,560 Speaker 1: would find the source of all the poker boss, find 55 00:02:49,560 --> 00:02:53,240 Speaker 1: the genius mind behind these poker playing machines, and find 56 00:02:53,240 --> 00:02:54,200 Speaker 1: out how they were doing it. 57 00:02:57,560 --> 00:02:59,560 Speaker 2: I'm David Gerret, and this is the big take from 58 00:02:59,560 --> 00:03:02,720 Speaker 2: Bloomberg News today on the show, how a group of 59 00:03:02,800 --> 00:03:06,920 Speaker 2: Russian students hacked online poker and what that means for 60 00:03:07,000 --> 00:03:17,200 Speaker 2: the multi billion dollar industry. A confession, and I'm not bluffing. 61 00:03:17,639 --> 00:03:21,560 Speaker 2: I've never played online poker, So I asked Bloomberg's Kitchillel 62 00:03:21,760 --> 00:03:23,000 Speaker 2: what these sites look like. 63 00:03:23,480 --> 00:03:26,760 Speaker 1: It's normally a green felt digital table, and everyone else 64 00:03:26,800 --> 00:03:29,120 Speaker 1: on the table will be represented by It's normally a 65 00:03:29,160 --> 00:03:32,400 Speaker 1: little cartoon image and a user name which won't be 66 00:03:32,400 --> 00:03:34,600 Speaker 1: that real name, so you don't really know who you're playing. 67 00:03:34,720 --> 00:03:37,560 Speaker 2: But otherwise, Kit says, the game is pretty much the 68 00:03:37,640 --> 00:03:40,360 Speaker 2: same as the poker you'd play at a regular table. 69 00:03:40,680 --> 00:03:43,920 Speaker 1: You make bets, you fold, you raise. Everything happens a 70 00:03:43,960 --> 00:03:46,080 Speaker 1: bit more quickly than real life poker because it's a 71 00:03:46,080 --> 00:03:49,320 Speaker 1: click of the button. But yeah, it works to all 72 00:03:49,360 --> 00:03:51,360 Speaker 1: practical purposes. It's just like the real thing. 73 00:03:51,560 --> 00:03:54,680 Speaker 2: Online poker started in the late nineties and early arts, 74 00:03:55,000 --> 00:03:57,960 Speaker 2: and Kit says its breakout moment was this rags to 75 00:03:58,080 --> 00:04:02,200 Speaker 2: riches event in two thousand and three, an unknown accountant 76 00:04:02,280 --> 00:04:06,640 Speaker 2: from Tennessee qualified for the World Series of Poker. Watching 77 00:04:06,640 --> 00:04:09,320 Speaker 2: the footage from back then, you can hear how exciting 78 00:04:09,360 --> 00:04:10,839 Speaker 2: it must have been to see it live. 79 00:04:11,080 --> 00:04:13,800 Speaker 3: This could be the last car of the two thousand 80 00:04:13,840 --> 00:04:15,400 Speaker 3: and three World Series of Poker. 81 00:04:15,960 --> 00:04:17,880 Speaker 1: No one expected him to do well, found himself on 82 00:04:17,920 --> 00:04:19,839 Speaker 1: the final table with some of the biggest stars in 83 00:04:19,880 --> 00:04:22,000 Speaker 1: the game and won several million dollars. 84 00:04:22,400 --> 00:04:26,200 Speaker 3: What a whole house, Chriss moneymaker, A lemonade saved far 85 00:04:26,320 --> 00:04:29,440 Speaker 3: har and a twenty seven year old has stepped out 86 00:04:29,480 --> 00:04:32,800 Speaker 3: of a virtual poker room and in a very swift 87 00:04:32,880 --> 00:04:35,800 Speaker 3: and unlikely manner is a top the poker world. 88 00:04:36,120 --> 00:04:38,080 Speaker 1: He couldn't think of a more perfect name. That's pretty 89 00:04:38,080 --> 00:04:40,520 Speaker 1: good for a poker player, as far as I know. 90 00:04:40,560 --> 00:04:42,480 Speaker 1: It's his real name. But a guy with a name 91 00:04:42,520 --> 00:04:45,279 Speaker 1: Moneymaker who comes from nowhere and wins this massive tournament. 92 00:04:45,600 --> 00:04:48,119 Speaker 1: It sort of peaked interest in poker as a game, 93 00:04:48,640 --> 00:04:52,360 Speaker 1: and in the years that followed that online poker grew explosively. 94 00:04:52,400 --> 00:04:54,839 Speaker 1: There were millions of players around the world trying to 95 00:04:54,880 --> 00:04:56,760 Speaker 1: have a go at this. You know, many of them 96 00:04:56,800 --> 00:04:58,960 Speaker 1: thought this was a viable way for them to make money. 97 00:04:59,040 --> 00:05:00,800 Speaker 2: Do we have any sense of how much money is 98 00:05:01,240 --> 00:05:03,480 Speaker 2: bet on online poker in a given years, say, or 99 00:05:03,640 --> 00:05:05,440 Speaker 2: just how big money wise this is. 100 00:05:05,880 --> 00:05:08,440 Speaker 1: I think the revenue that poker sites make from online 101 00:05:08,480 --> 00:05:11,279 Speaker 1: poker is in the region of three billion dollars a year. 102 00:05:11,400 --> 00:05:13,320 Speaker 1: That's a tiny portion of the amount of money that 103 00:05:13,440 --> 00:05:16,040 Speaker 1: changes hands. So you're looking at probably one hundred billion 104 00:05:16,080 --> 00:05:18,920 Speaker 1: dollars or more changing hands in terms of bets being 105 00:05:18,920 --> 00:05:21,599 Speaker 1: made online, which is a significant sum of money. 106 00:05:21,360 --> 00:05:24,200 Speaker 2: And a significant prize for the first people who could 107 00:05:24,200 --> 00:05:27,360 Speaker 2: build a bot that could beat it. I asked Kit 108 00:05:27,560 --> 00:05:29,839 Speaker 2: why it took so long to develop a poker bart 109 00:05:30,120 --> 00:05:31,080 Speaker 2: that could hold its own. 110 00:05:32,040 --> 00:05:36,960 Speaker 1: It's arguably the most complicated game for machine intelligence to master. 111 00:05:37,040 --> 00:05:40,640 Speaker 1: And the reason poker is so challenging for machines is 112 00:05:40,680 --> 00:05:43,760 Speaker 1: that it's a game of incomplete information. You don't know 113 00:05:43,839 --> 00:05:46,159 Speaker 1: what the other players on the table are holding. You 114 00:05:46,240 --> 00:05:48,880 Speaker 1: have to make an assumption based on their behavior about 115 00:05:48,920 --> 00:05:50,880 Speaker 1: what they might have, so you have to make a 116 00:05:50,920 --> 00:05:53,599 Speaker 1: guess about the best course of action. And also you 117 00:05:53,640 --> 00:05:55,880 Speaker 1: have to lie. If you never bluff in poker, you 118 00:05:55,880 --> 00:05:58,279 Speaker 1: will lose more often than not. You need to be 119 00:05:58,279 --> 00:06:01,359 Speaker 1: able to sometimes fall, give the impression you have a 120 00:06:01,360 --> 00:06:04,360 Speaker 1: great hand, just to win hands you shouldn't win. And 121 00:06:04,520 --> 00:06:07,080 Speaker 1: these things are really difficult for computers. Now. In chess, 122 00:06:07,520 --> 00:06:10,119 Speaker 1: all they have to do is process a very large 123 00:06:10,200 --> 00:06:14,680 Speaker 1: number of scenarios. It's basically a data processing exercise. You 124 00:06:14,720 --> 00:06:17,520 Speaker 1: could argue it's not real intelligence, it's just crunching numbers. 125 00:06:17,960 --> 00:06:20,400 Speaker 1: But poker requires creative thought. 126 00:06:20,640 --> 00:06:23,760 Speaker 2: For decades, the best bots were being developed at computer 127 00:06:23,880 --> 00:06:27,599 Speaker 2: science programs at universities in the US and Canada, but 128 00:06:27,720 --> 00:06:30,159 Speaker 2: even those left a lot to be desired. 129 00:06:30,279 --> 00:06:32,440 Speaker 1: The best academic bots were not very good. In fact, 130 00:06:32,480 --> 00:06:34,320 Speaker 1: they were a bit of a laughing stock. And the 131 00:06:34,360 --> 00:06:37,599 Speaker 1: bots would get very easily confused and melt down, you know. 132 00:06:37,880 --> 00:06:40,120 Speaker 1: Faced with this situation, they couldn't process, they would make 133 00:06:40,360 --> 00:06:44,480 Speaker 1: incomprehensible decisions, and the top human players used to absolutely 134 00:06:44,520 --> 00:06:45,039 Speaker 1: hammer them. 135 00:06:45,120 --> 00:06:47,280 Speaker 2: And it was in that vacuum that a group of 136 00:06:47,360 --> 00:06:51,400 Speaker 2: Russian students saw an opportunity. They were math whizzars and 137 00:06:51,480 --> 00:06:54,599 Speaker 2: poker players who were already using online games as a 138 00:06:54,600 --> 00:06:57,480 Speaker 2: way to make money, and they realized that if they 139 00:06:57,520 --> 00:07:00,480 Speaker 2: could build a bot that could guarantee victory, they could 140 00:07:00,480 --> 00:07:01,240 Speaker 2: make a fortune. 141 00:07:01,760 --> 00:07:03,760 Speaker 1: It was Darwinian. It had to be good, otherwise it 142 00:07:03,760 --> 00:07:04,920 Speaker 1: wouldn't make them any money. 143 00:07:05,760 --> 00:07:08,920 Speaker 2: They called their bot the Brain, and Kit says it 144 00:07:08,960 --> 00:07:12,640 Speaker 2: wasn't just good, it was dominant. In twenty twelve and 145 00:07:12,680 --> 00:07:15,040 Speaker 2: twenty thirteen, when the group entered their bot in the 146 00:07:15,080 --> 00:07:19,160 Speaker 2: World Online Computer Poker Contest, the Brain beat out bots 147 00:07:19,200 --> 00:07:22,280 Speaker 2: developed by teams at Carnegie Mellon and the University of Alberta, 148 00:07:22,560 --> 00:07:25,240 Speaker 2: which proved the Brain was one of the world's best. 149 00:07:25,880 --> 00:07:28,600 Speaker 2: And as the Brain grew and developed, so did the 150 00:07:28,640 --> 00:07:30,400 Speaker 2: ambitions of its makers. 151 00:07:30,960 --> 00:07:33,760 Speaker 1: What started out as a quite a small bot farm, 152 00:07:34,120 --> 00:07:36,600 Speaker 1: which is them and a few of their friends operating 153 00:07:36,680 --> 00:07:39,840 Speaker 1: computer software running it day and night and trying to 154 00:07:39,840 --> 00:07:42,480 Speaker 1: make as much money as they could, essentially selling access 155 00:07:42,520 --> 00:07:46,840 Speaker 1: to their poker brain and doing that they could play 156 00:07:47,400 --> 00:07:49,640 Speaker 1: thousands of games a day as opposed to a few hundred. 157 00:07:50,120 --> 00:07:53,480 Speaker 2: Those students decided to franchise the brain. They were willing 158 00:07:53,520 --> 00:07:56,040 Speaker 2: to partner with anyone who wanted to operate their own 159 00:07:56,120 --> 00:07:59,440 Speaker 2: bod farm, and in exchange for access to the bot, 160 00:08:00,120 --> 00:08:03,720 Speaker 2: partners agreed to share a portion of their winnings within 161 00:08:03,800 --> 00:08:07,040 Speaker 2: poker circles. The whole enterprise came to be known as 162 00:08:07,080 --> 00:08:11,240 Speaker 2: the Bot Farm Corporation or bf Corp for short. The 163 00:08:11,280 --> 00:08:13,720 Speaker 2: only limit to their growth was how long they could 164 00:08:13,720 --> 00:08:16,880 Speaker 2: stay under the radar, which wasn't very long. 165 00:08:17,800 --> 00:08:21,080 Speaker 1: Users who were logging onto a poker website and just 166 00:08:21,160 --> 00:08:24,880 Speaker 1: losing over and over in robotic fashion were complaining and saying, 167 00:08:24,920 --> 00:08:26,720 Speaker 1: I'm sick of this website. There's so many bots on 168 00:08:26,760 --> 00:08:29,480 Speaker 1: here's hopeless, and so I think the websites realized it 169 00:08:29,520 --> 00:08:31,600 Speaker 1: was ultimately it was going to hurt their business model, 170 00:08:31,920 --> 00:08:35,240 Speaker 1: and so they started deploying technology to get rid of 171 00:08:35,280 --> 00:08:36,760 Speaker 1: the bots and keep them off the site. 172 00:08:37,000 --> 00:08:40,439 Speaker 2: But remember how Kit called the bot Darwinian. When sites 173 00:08:40,480 --> 00:08:44,160 Speaker 2: put up defenses the brains. Designers would develop a workaround, 174 00:08:44,600 --> 00:08:47,760 Speaker 2: and eventually they got rid of the franchise model. They 175 00:08:47,880 --> 00:08:50,280 Speaker 2: just started selling it to whoever wanted to buy it, 176 00:08:50,840 --> 00:08:53,319 Speaker 2: and all of a sudden, anyone could buy a bot. 177 00:08:53,440 --> 00:08:56,680 Speaker 2: There was no stopping it, which created a big problem 178 00:08:56,720 --> 00:08:57,400 Speaker 2: for the industry. 179 00:08:57,800 --> 00:08:59,959 Speaker 1: A few years ago, some Morgen Stanley analysts said it 180 00:09:00,120 --> 00:09:02,720 Speaker 1: was an existential problem for poker. Why would anyone play 181 00:09:02,760 --> 00:09:04,920 Speaker 1: a game against an unbeatable machine. 182 00:09:05,080 --> 00:09:08,280 Speaker 2: With websites a wash in bots and it becoming increasingly 183 00:09:08,320 --> 00:09:12,520 Speaker 2: difficult to distinguish between humans and computers. The game was 184 00:09:12,559 --> 00:09:18,080 Speaker 2: corrupted and players were leaving in droves after the break 185 00:09:18,280 --> 00:09:21,680 Speaker 2: Why the people behind BF Corp Are now fighting to 186 00:09:21,800 --> 00:09:33,240 Speaker 2: save online poker After a group of Russian students created 187 00:09:33,280 --> 00:09:35,960 Speaker 2: the world's premiere poker bot and started selling it to 188 00:09:36,000 --> 00:09:39,680 Speaker 2: anyone who would buy it. Online poker platforms were flooded 189 00:09:39,840 --> 00:09:43,640 Speaker 2: with these unbeatable machines. You'd think that would be horrible 190 00:09:43,679 --> 00:09:47,480 Speaker 2: for their business models, but according to Bloomberg's Kitchillel, some 191 00:09:47,559 --> 00:09:49,559 Speaker 2: of these sites didn't think this was the end of 192 00:09:49,600 --> 00:09:50,000 Speaker 2: the world. 193 00:09:50,200 --> 00:09:53,640 Speaker 1: What I discovered was that some poker, particularly poker clubs, 194 00:09:53,960 --> 00:09:56,920 Speaker 1: which are kind of private unions of players who set 195 00:09:56,960 --> 00:09:59,000 Speaker 1: up their own private games and run them as they like. 196 00:09:59,400 --> 00:10:03,160 Speaker 1: Some of these organizations were actively inviting bots to play 197 00:10:03,200 --> 00:10:03,920 Speaker 1: on the site. 198 00:10:04,040 --> 00:10:07,800 Speaker 2: You heard him right. Online poker sites started to recruit 199 00:10:07,880 --> 00:10:11,760 Speaker 2: bots to play poker. The reason it helped if those 200 00:10:11,800 --> 00:10:13,680 Speaker 2: digital poker tables were full. 201 00:10:14,000 --> 00:10:16,480 Speaker 1: If customers log on they see empty tables, they won't play. 202 00:10:16,679 --> 00:10:19,400 Speaker 1: People want to log on, find an active game, jump 203 00:10:19,440 --> 00:10:21,840 Speaker 1: on the table, and join in. But the reality of 204 00:10:21,920 --> 00:10:23,440 Speaker 1: the way people play poker is that there are going 205 00:10:23,480 --> 00:10:25,080 Speaker 1: to be hours in the day when there's just not 206 00:10:25,200 --> 00:10:27,559 Speaker 1: enough people for that to happen. So poke bots actually 207 00:10:27,600 --> 00:10:29,800 Speaker 1: can be really useful for keeping those tables busy. 208 00:10:30,240 --> 00:10:33,280 Speaker 2: Sure, the poker bots might win a lot, but they 209 00:10:33,320 --> 00:10:36,120 Speaker 2: guarantee a lot of games are happening, games that are 210 00:10:36,160 --> 00:10:38,920 Speaker 2: played at a really high level. It says these are 211 00:10:38,960 --> 00:10:43,280 Speaker 2: referred to as liquidity bots. BF Corp. Also cashed in 212 00:10:43,320 --> 00:10:46,360 Speaker 2: on that trend. They started a new venture called Dplay 213 00:10:46,600 --> 00:10:50,280 Speaker 2: to sell bots they've developed specifically for poker sites. The 214 00:10:50,320 --> 00:10:53,120 Speaker 2: company's website says its mission is to quote provide a 215 00:10:53,160 --> 00:10:57,559 Speaker 2: comfortable environment for gamers that its robots employ different strategies 216 00:10:57,600 --> 00:11:01,120 Speaker 2: to maintain in game balance. Kit wanted to talk to 217 00:11:01,160 --> 00:11:04,040 Speaker 2: its creators, but in spite of all of the success 218 00:11:04,080 --> 00:11:07,800 Speaker 2: they had, they didn't do in person meetings or interviews 219 00:11:07,840 --> 00:11:11,520 Speaker 2: with journalists. But Kit was persistent and after a few 220 00:11:11,559 --> 00:11:13,000 Speaker 2: months he convinced them. 221 00:11:13,400 --> 00:11:16,600 Speaker 1: It was a strange encounter. We had to meet in 222 00:11:16,640 --> 00:11:18,360 Speaker 1: Armenia because of the war, and I couldn't get to 223 00:11:18,400 --> 00:11:21,959 Speaker 1: Russia and they couldn't really come to Europe, so amenor 224 00:11:22,040 --> 00:11:22,400 Speaker 1: it was. 225 00:11:22,679 --> 00:11:25,080 Speaker 2: Kit met with three of the Russians who created that 226 00:11:25,120 --> 00:11:27,800 Speaker 2: bot called the Brain, but he says they weren't who 227 00:11:27,840 --> 00:11:31,800 Speaker 2: he expected. They were funny and curious. They even planned 228 00:11:31,840 --> 00:11:34,840 Speaker 2: a series of touristy activities so they could all get 229 00:11:34,880 --> 00:11:37,800 Speaker 2: to know each other, and they eventually told him why 230 00:11:37,880 --> 00:11:39,319 Speaker 2: they wanted to talk to a reporter. 231 00:11:39,559 --> 00:11:41,120 Speaker 1: They do want to come out of the shadows, is 232 00:11:41,120 --> 00:11:42,720 Speaker 1: what they told me. They want to have a more 233 00:11:42,720 --> 00:11:44,920 Speaker 1: public face now and they want to try and beat 234 00:11:44,920 --> 00:11:46,480 Speaker 1: a solution rather than the problem. 235 00:11:46,600 --> 00:11:48,560 Speaker 2: Kit had a chance to ask them a question that 236 00:11:48,640 --> 00:11:51,360 Speaker 2: had been nagging at him. They'd started doing this because 237 00:11:51,360 --> 00:11:54,520 Speaker 2: they love poker, but had their bots changed the game 238 00:11:54,559 --> 00:11:55,720 Speaker 2: they love forever? 239 00:11:58,920 --> 00:12:00,679 Speaker 1: One of the members of the group said to me, 240 00:12:00,920 --> 00:12:03,560 Speaker 1: we're in a capitalism game. You know, they didn't make 241 00:12:03,600 --> 00:12:05,720 Speaker 1: the game this way. They didn't create it. They are 242 00:12:05,760 --> 00:12:08,920 Speaker 1: just operating within the boundaries and the limitations of the 243 00:12:08,920 --> 00:12:11,640 Speaker 1: game as it already exists. And I'm sure they would 244 00:12:11,679 --> 00:12:13,880 Speaker 1: argue that if they weren't making bots, someone else would 245 00:12:13,880 --> 00:12:16,200 Speaker 1: be making bots, then the bots would still exist. They 246 00:12:16,240 --> 00:12:17,559 Speaker 1: just happen to be quite good at it. 247 00:12:17,880 --> 00:12:21,000 Speaker 2: In other words, yes, the game is changing, and not 248 00:12:21,120 --> 00:12:23,480 Speaker 2: for the better, at least not if you're human. But 249 00:12:23,679 --> 00:12:26,520 Speaker 2: it's not the bots that are ruining the game, they argued, 250 00:12:26,880 --> 00:12:27,720 Speaker 2: it's capitalism. 251 00:12:27,920 --> 00:12:31,079 Speaker 1: Well, what we've seen in poker is that when machines 252 00:12:31,080 --> 00:12:33,080 Speaker 1: can beat us at our own game, nothing good comes 253 00:12:33,080 --> 00:12:36,360 Speaker 1: as a result. It's been very detrimental to the game 254 00:12:36,360 --> 00:12:38,680 Speaker 1: of poker and I think the people's enjoyment of poker. 255 00:12:39,320 --> 00:12:42,200 Speaker 1: It's also interesting that the response of the poker community 256 00:12:42,240 --> 00:12:45,240 Speaker 1: and has been largely to pretend this threat doesn't exist. 257 00:12:45,320 --> 00:12:47,120 Speaker 1: And so I'll be interested to watch over the next 258 00:12:47,120 --> 00:12:49,560 Speaker 1: few years whether the game finally wakes up to what's 259 00:12:49,600 --> 00:12:50,880 Speaker 1: going on and makes some changes. 260 00:12:53,040 --> 00:12:57,040 Speaker 2: The Brain's creators are already implementing. Some Kid says they've 261 00:12:57,040 --> 00:12:59,079 Speaker 2: come up with a new way to use the technology 262 00:12:59,120 --> 00:13:02,120 Speaker 2: they developed to bring back some of the joy that's 263 00:13:02,160 --> 00:13:03,840 Speaker 2: disappeared from online poker. 264 00:13:04,080 --> 00:13:06,360 Speaker 1: They want to make a sort of friendlier gaming environment 265 00:13:06,440 --> 00:13:09,240 Speaker 1: where the algorithm will match you against someone who plays 266 00:13:09,240 --> 00:13:11,360 Speaker 1: similarly to you. So it's a bit like if you're 267 00:13:11,360 --> 00:13:13,320 Speaker 1: a tennis player and you join your local tennis club, 268 00:13:13,320 --> 00:13:15,360 Speaker 1: you don't go straight to the A league. You know 269 00:13:15,360 --> 00:13:17,320 Speaker 1: you'll play in the D leagues against players with similar 270 00:13:17,320 --> 00:13:19,600 Speaker 1: skill set to you early on. And the whole idea 271 00:13:19,679 --> 00:13:22,000 Speaker 1: is to sort of target and newcomers, target people who 272 00:13:22,000 --> 00:13:24,400 Speaker 1: play for fun, rather than having the whole system set 273 00:13:24,480 --> 00:13:26,760 Speaker 1: up to reward people who do it for a job. 274 00:13:29,760 --> 00:13:32,199 Speaker 2: This is the Big Take from Bloomberg News. I'm David Gura. 275 00:13:32,520 --> 00:13:35,360 Speaker 2: This episode was produced by David Fox and Jessica Beck. 276 00:13:35,679 --> 00:13:38,200 Speaker 2: It was edited by Stacey Annix Smith and Jeremy Kean. 277 00:13:38,760 --> 00:13:41,560 Speaker 2: It was mixed by Alexander Dubois. It was fact check 278 00:13:41,600 --> 00:13:45,160 Speaker 2: by alex Sagura. Our senior producer is Naomi Shaven. Our 279 00:13:45,200 --> 00:13:49,120 Speaker 2: executive producer is Nicole Beemster Boor. Sage Bauman is Bloomberg's 280 00:13:49,120 --> 00:13:52,080 Speaker 2: head of Podcasts. If you like this episode, make sure 281 00:13:52,080 --> 00:13:54,480 Speaker 2: to subscribe and review The Big Take wherever you listen 282 00:13:54,520 --> 00:13:58,079 Speaker 2: to podcasts. It helps people find the show. Thanks for listening. 283 00:13:58,440 --> 00:13:59,520 Speaker 2: We'll be back next week. 284 00:14:00,120 --> 00:14:01,280 Speaker 1: Hello,