If you’ve ever played poker online, then you may have come across the AI phenomenon. The term refers to programs that use artificial intelligence in order to play virtual card games by using a combination of techniques ranging from machine learning and deep learning algorithms to neural networks. Some of these programs are so good that they can beat top professionals at their game with relative ease.
The first AI program to reach this level was DeepStack, which achieved this feat back in 2015. Since then, other AIs have been released, and more will be on the way. This is because the developers behind them believe that the technology has become mature enough for the program itself to make predictions about the cards being dealt to it. This allows it to perform actions that would normally take an experienced player a very long time to do.
The person can plan to do the Bonus138 login and get the best offers. The people have to enter all the details that are required for the registration. The person can be on the platform and play the game of their choice. In the long run the winning of the players is an option for the players.
But how much longer will the human race be able to enjoy online poker? It’s hard to say for sure, but there are certainly signs that point in the direction of extinction within less than five years.
The Rise Of Artificial Intelligence And Its Impact On Online Poker
Poker isn’t really one of those video games where you’re playing against a computer. Most games like this require a certain amount of skill in order to play well, and that takes time to develop. But when it comes to poker, all you need to do is learn the rules and start playing.
You don’t even need to know anything about how the game works. You just need to follow the instructions given to you by your opponent and pay attention to what he says. When you get the hang of it, it becomes second nature and you’ll find yourself making decisions based solely on instinct rather than logic.
That’s why poker is such an ideal game for people who want to master online gambling without having to spend any money doing so. If you can learn the game in a few hours or days, it’s easy to see why casinos rely on it as part of their business model.
But if you think that online poker is safe, you’d better think again. All it takes is one bad hand for someone to walk away with your bankroll. That’s exactly what happened to David ‘Doc’ Pham, who lost $4.5 million playing Texas Holdem when he was beaten by an AI program with the mind-blowing name of Ante Up.
It seems that no matter how smart the programmers are, there are always going to be flaws in the system. One of these flaws occurred after Doc Pham came out of the bathroom. He found himself facing a pair of queens, two tens, and a king. His opponent had only three cards left. So naturally, he raised the bet to $100,000.
When his opponent called, he realized that he didn’t have the best possible starting hand. There were only four cards remaining, and he could easily lose the entire pot if he made the wrong decision. In addition, he knew that an inexperienced player might not know whether or not to call, which could cost him the whole pot.
To resolve this dilemma, he decided to bluff. Instead of folding, he chose to raise once again. This time, he said that he had his best hand, which consisted of two pairs of kings and a nine. He said that he felt confident that he could win the hand, and that he wasn’t afraid to go all in. At this point, his opponent folded.
The problem was that he was bluffing. What he actually held was a pair of jacks, a ten, and a seven. He tried to cover up the fact that he was bluffing by saying that he was confident that he could win the hand. However, the game has a built-in mechanic that prevents players from raising preflop, unless they have two pair or better.
His opponent didn’t fall for the ploy, and instead went all in himself. After the flop came down, he had two pair, but the board gave him nothing else. He still had a chance to win the hand, but Doc Pham had won everything else he needed to win.
There are many other examples that prove that AIs aren’t invincible. Back in February 2016, a program named EZ-Handed defeated a professional player in a heads-up match. The man who had been taken out by the AI was none other than Gus Hansen, the former World Champion of Poker.
EZ-Handed used its own algorithm to determine exactly what the player was holding, and then executed moves that exploited weaknesses in the opponent’s strategy. The result was that Hansen lost the first four hands before winning the fifth. But he couldn’t keep up this pace for long, and eventually EZ-Hand took the victory.
Another example of a high-stakes match that ended badly for the human side was the infamous “Deepstack Wars” event. This saw the world’s best players competing against a team of AI programs known as Team Prodigy.
In the final match, Team Prodigy managed to defeat the reigning champion, Viktor Blom, using tactics that relied entirely on the AI. They opened the action with a huge bet, hoping that Blom would fold. This allowed Team Prodigy to collect chips over the course of several rounds, until finally they had amassed a massive stack, allowing them to open a showdown.
Blom, however, wasn’t going to give up without a fight. He raised the stakes once again, but this time, he wasn’t just betting the minimum $1,500, he was willing to risk $200,000. Team Prodigy called, and the flop came down with a jack, queen, and a six. It looked bad for Blom, but he managed to hold onto his cards.
The turn brought another jack, and Team Prodigy was now forced to put all their chips into the center. They also had a straight, which meant they could have raised all their chips to stay alive. However, they did nothing. Instead, they let Blom double through to the river, and he doubled again.
Team Prodigy was stunned, but they weren’t dead yet. They had a small bankroll, but they could still buy some time. And that’s precisely what they did. They continued to wait patiently, knowing that this was their last chance to catch up to Blom.
Then, the fateful moment arrived. With Team Prodigy completely out of chips and with Blom holding pocket kings, the AI made the move. It raised the bet $2,000,000, buying itself a very short amount of time to either win or lose the big pot.
Blom couldn’t believe it—a single move by the AI had turned the tables in his favor. He quickly called, but the turn and the river brought nothing but more losses. Blom was now ahead, winning the biggest pot of his career.
This was only the beginning of the problems that AIs were causing. In June 2017, another team of AIs known as Deep Thought defeated a group of pro players in a Heads-Up tournament. Although the AI was playing blindfolded, it still managed to beat everyone except Phil Ivey. Ivey was able to take down the AI, but only after it managed to play a couple of hands where it seemed to have a significant advantage over him.
These are just a handful of the instances where AI has been able to outperform the best players. And this list doesn’t even include the numerous times that AIs have dominated tournaments. For instance, in 2014, AlphaGo became the first AI program to beat Lee Sedol, the current World Champion of Go.
And while these events are impressive, none of the AIs that we’re talking about are capable of beating the average recreational player. To do that, they would have to incorporate all the information available about a specific table. This includes every aspect of the game, including the probability of each type of hand appearing, the frequency with which certain types of cards are drawn, and so on.
Even if we assume that the AI developers manage to achieve this level of perfection, it’s unlikely that the AIs will be used in casinos anytime soon. The reason for this is simple: the casinos don’t want to risk losing customers due to poor results of the AIs.
However, there are ways around this problem. For example, DeepMind, the company responsible for creating AlphaGo, has developed an app that uses its AI technology to help amateur players improve their skills. This means that the casinos could potentially employ AIs to analyze the performance of amateurs in order to develop improved strategies.
But the real danger lies elsewhere. Because AIs are getting better and better at playing poker, they’re becoming increasingly difficult to beat. As a result, they’ll be a lot harder to train for, since they’ll likely have mastered the game already. This will allow them to beat amateur players far more often than they currently do.
What does this mean for online poker? We’re probably looking at a future where most of us will never enjoy live casino games again.
