Archive for the ‘Chess’ Category

Coach Of The Month: Charlie Rosado – Chess.com

Chess.com's January Coach of the Month is Charlie Rosado, better known online as JapaneseTutor! Charlie is a well-known chess streamer, and one of the key characters of the Tournament Arc series.

What some people might not know is that JapaneseTutor is a formidable coach who is accepting new students. A dedicated trainer with nothing but glowing reviews from his students, Charlie is ready to help you achieve your chess goals faster!

Readers seeking private instruction can contact Charlie Rosado via his Chess.com profile and can find other skilled coaches at Chess.com/coaches.

At what age were you introduced to chess, and who introduced you?

When I was around 16 years old, in High School, people used to play chess during lunch in the cafeteria. I was not very interested at first, but as time went by, the game drew my attention. I learned by watching and later playing. One of the coaches of the chess club asked me If I wanted to join and by then it seemed like a no-brainer. Interestingly enough his name was Mr. Rosado, and although we share the same last name (and same birthday) we are not related.

What is your first vivid memory from chess?

Our coach would not let us compete in any tournaments until we completed a certain amount of challenges (tactics and puzzles). After two or three months in the club, I was finally able to participate in my first competition. I lost my first three matches of four. I remember getting destroyed by a kid who could have not been older than six or seven. He beat me while munching on his animal crackers and sipping on Capri-sun.

Despite that, I did win my fourth match and that episode is not only a vivid memory, but I think it was also a turning point since it was then that I first remember thinking that I could actually do it. I could, in fact, play and maybe even be really good at it.

Which coaches were helpful to you in your chess career, and what was the most useful knowledge they imparted to you?

My first coach, although not the strongest, was important to me because he introduced me to many different tactics. He was also a driving energy, encouraging us to always do better. I also started using CT Art (an old chess tactics software) thanks to him and I am pretty sure that my chess journey would have been different without him.

Four years ago, I learned that GM Leonid Yudasin (ex-world champion candidate) was available for coaching on the Marshall Chess Club website. I worked with him for about six months. Playing with such a strong player changed my tactics and my approach to the game in general, and he really helped me to develop a better strategic understanding of the game. He definitely made me a better and more competitive player. One thing that he mentioned that I remember clearly even to this day, is that it doesn't matter what pieces come off the board. What matters is what pieces stay and what they're doing.

Which game do you consider your "Magnus Opus?"

I really like this game I played against GM Roeland Pruijssers. Even though I made a few mistakes and I felt like I had a worse position, I kept fighting on and found some counterplay through tenacious play.

This was the first time that I actually felt confident that I could come back from a worse positionand I did. Ever since that game, I always remind myself to keep playing and trying to find the best moves, even when I'm in a worse position.

How would you describe your approach to chess coaching?

Every potential student has different goals they want to achieve. It's important that I clearly understand them. Then I look at a couple hundred of their games, trying to zero in on all their strengths and weaknesses, and, more importantly, on how they think about chess and their approach to the game.

With that data, I can better cater to my student and create a plan that ultimately enhances their strengths while fixing their weaknesses. I feel all of this is better and more easily achieved if the student is having fun during the process, so I try to also create an environment that is structured but relaxed; maybe not fully conventional, but effective and fun.

What do you consider your responsibility as a coach and which responsibilities fall on your student?

I, as the coach, need to know my students and the way they play, even better than they know themselves. I create comprehensive lesson plans, and schedule steps ahead of time to maintain a good, productive rhythm.

I expect my students to do their homework, be consistent with puzzles, and make sure they are not rushing through games, but instead learning from them and analyzing them.

Our shared responsibility is communication. Communication is instrumental to predicting or fixing anything that might affect their learning.

What is a piece of advice that you give your students that you think more chess players could benefit from?

Mindset is the most important thing you have.

I often tell my students that it doesn't matter what their opponent's rating is, how famous they are, how well they did during the tournament. You both are sitting at the same table; you both see the same board; you both have the same pieces. If they make a mistake it is up to their opponent to punish themthey do not need to punish themselves. Just play the game.

What is your favorite teaching game that users might not have seen?

Kasparov's Immortal game is definitely my favorite teaching game. It really highlights how to think properly and demonstrates how to make your pieces work together. It also shows the importance of finding what is actually wrong with your opponent's position and the importance of deep calculation.

What is the puzzle you give students that tells you the most about how they think?

I don't really have one single puzzle that I use to gauge a students' abilities but I ask them what their approach is to chess and ask about their moves in their most recent games. I can usually tell how a student thinks by going over their games. I usually find that to be more fruitful.

However, I do like to show a few students one particular position and ask them how they would proceed.

The solution is actually very straightforward but a lot of people look for moves with their pieces instead of looking for an attack with the "least obvious" piece. The idea is 1.g4 followed by g5, opening up the kingside. Chess is a game of perfect information and we can see that White has an attack. But how do we get in? This "puzzle" really reveals how fast they give up on positions or how tenacious they are in trying to find a way in.

Do you prefer to teach online or offline? What do you think is different about teaching online?

I was an offline teacher until the pandemic hit. I then switched to online teaching. One thing I miss from offline, in-person teaching, is the body language; the surprised expression when the student understands something for the first time, or their first "a-ha" moment.

Teaching online has the huge advantage of having all the information that I need at my fingertips. For the longest time I preferred teaching offline, but I believe that I really started thriving as an online teacher. There's a certain set of skills that you need for online teaching. Understanding the students' needs while teaching online classes, where I wasn't able to see them or directly communicate with them, was a huge stepping stone for me as an instructor. However, I do feel like I can truly understand my students' needs now and I really enjoy the benefits of online lessons.

What do you consider the most valuable training tool that the internet provides?

Honestly, I think Chess.com's analysis board and databases of games/openings/lessons are amazing. I utilize them for every single one of my lessons. It's nice to have all that information at your fingertips.

Which under-appreciated chess book should every chess player read?

For anyone struggling with openings I recommend Christof Sielecki's Keep it Simple series for 1.e4 or 1.d4. I think that anyone in the 1000-1900 range could really benefit from these books. It's a super solid material that will get you out of the opening in a good position so you can just play chess.

For students who are already doing fine with the opening, I recommend Daniel Gormallys Mating the Castled King.

Prior Coaches of the Month:

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Coach Of The Month: Charlie Rosado - Chess.com

Can You Spot The Tactics That Puzzle World Champion Ray Robson Missed? – Chess.com

GM Ray Robson recently won the 2022 Puzzle Battle World Championship for the third consecutive year. To achieve this incredible feat, he had to outperform players like none other than GMs Hikaru Nakamura, Maxime Vachier-Lagrave, Shakhriyar Mamedyarov, Daniel Naroditsky, and more! Watching Robson speed through more than 50 puzzles in less than three minutes was indeed something special:

While most of us can only dream of being as sharp or fast as Robson, we shouldn't feel bad for missing tactics on our own games. Using Chess.com's Insights, we can see that even the greatest puzzle warrior in the world can falter from time to time. As chess coaches love to point out, puzzles in real games are always different from puzzles in practice. We all miss things in games that we would solve instantly in a puzzle.

Below is a compilation of some of the tactics that Robson missed in the games he played on Chess.com. Can you spot the best moves in each position?

Game 1: GM Ray Robson vs. GM Aram Hakobyan

Game 2: GM Ray Robson vs. FM Saidakbar Saydaliev

Game 3: GM Ray Robson vs. FM @catask

Game 4: GM Jorden van Foreest vs. GM Ray Robson

Game 5: GM Ray Robson vs. GM Sam Sevian

Game 6: GM Daniel Naroditsky vs. GM Ray Robson

Game 7: IM Arystanbek Urazayev vs. GM Ray Robson

Game 8: Naroditsky vs. Robson

Game 9: Robson vs. Sevian

Game 10: Naroditsky vs. Robson

This last puzzle could've made it this recent article featuring the hardest puzzles on Chess.com. With a few mind-blowing moves and less than a minute on his clock, it's no wonder the puzzle king couldn't find this beauty:

The puzzles above show that even the greats can miss a few tactics. But that shouldn't keep us from playing chess and having fun with Puzzle Rush, should it?

Could you find the moves that Robson missed? Let us know in the comment section below!

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Can You Spot The Tactics That Puzzle World Champion Ray Robson Missed? - Chess.com

Eddie Cha Is Playing Chess At The Highest Level – The Official Website of the Ultimate Fighting Championship

You have no family life, pretty much, he said. So having an understanding and unbelievable wife is honestly the secret, but it's hard to juggle both. It's not just me; it's our whole coaching staff. They're right there with me. We do team practices and then we gotta do these super camps. We call them super camps because we invest so much time and money and effort into them. So it's hard to juggle but it's definitely worth it and I think that's how we build the bond, relationship and rapport with these guys. When you spend eight-plus weeks, six hours a day and getting into the innermost secrets and demons and so forth, you share that bond.

The latest super camp for the Arizona squad is for former UFC flyweight champion Deiveson Figueiredo, who will attempt to regain his crown this Saturday in Anaheim when he faces Brandon Moreno in the trilogy fight that serves as the co-main event of UFC 270. Its another road trip, another fight week, another pressure-filled fight night. But its everything Cha always wanted when he was building his All In MMA gym and rep back in Southern California.

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When I was starting out in Southern California, I opened up a gym and I picked up some really good fighters at that time, and I could never get a break on getting some of the bigger names, Cha recalls. I'm like, why can't I get these guys? And eventually, I just said, forget it, the guys that I have, I'm gonna build them the best I can and that's pretty much what I did and how I got started. I started with Francisco Rivera, he won six straight (three in the UFC), got to the Top Ten, and he was pretty much my first ace. And then I worked with Bobby Green, Darrion Caldwell, Dominick Reyes, Alex Reyes and a bunch of other guys.

Enter former UFC lightweight champion Benson Henderson, who heard about Cha and reached out along with longtime MMA LAB coach John Crouch. Soon after, Cha moved out to Arizona.

And the rest was history, he laughs.

Still in Arizona and now working with the Fight Ready team in Scottsdale, Cha is still not a fan of the blistering heat, but he got his wish to work with the elite of the sport, with Figueiredo, Zhang Weili, Chan Sung Jung, Henry Cejudo and Jon Jones just a few of the names hes worked with over the past few years. And why has his system worked with such a diverse crew?

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Eddie Cha Is Playing Chess At The Highest Level - The Official Website of the Ultimate Fighting Championship

Jonathan Kuminga carries Klay Thompson’s chess board as part of rookie duties – NBC Sports Bay Area

Jonathan Kuminga has the look of a future NBA star, but that doesn't mean he's exempt from his duties as a Warriors rookie.

That includes, apparently, carrying around a chess and checkers board for one Klay Thompson. Kuminga brought the board into his postgame availability after the Warriors' 119-99 loss to the Minnesota Timberwolves on Sunday and explained why he was toting around the game on the Warriors' road trip.

"I don't play neither of those games," Kuminga said with a smile when asked if he was a chess or checkers guy. "I just got to do my rookie duty and carry that for Klay."

While the Warriors finished their four-game road trip at 1-3, Kuminga was the lone bright spot. The No. 7 overall pick gave the Warriors good minutes in losses to the Milwaukee Bucks and Timberwolves and had a career night during Golden State's blowout win over the Chicago Bulls on Friday.

Kuminga has left a positive impression on his veteran teammates as he works to earn more consistent minutes for one of the NBA's best teams.

"Jon is an incredible athlete," Thompson said Sunday. "His ability to play at the rim is incredible. I loved his aggressiveness tonight. It shows with 10 free throws. He's going to be a huge part of this team for a long time."

Man, he is an athlete, Andrew Wiggins said of the rookie. He can jump out the gym. Hes fast. Hes strong as st. Hes got it all. And today, he showed out. He was aggressive toward the rim, hitting his shots, played amazing defense. The skys the limit for him.

The sky very well could be the limit for Kuminga. He is developing faster than anticipated, and there is a chance he will play a role in the title chase to come.

Even if that's the case, he'll still have to perform his rookie duties. The only thing that can bring those to a close is the start of his sophomore season. Only 10 more months to go.

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Jonathan Kuminga carries Klay Thompson's chess board as part of rookie duties - NBC Sports Bay Area

The Games That Machines Play. After Chess and Go, what game will | by Kartik Hosanagar | Jan, 2022 | OneZero – OneZero

South Korean professional Go player Lee Se-Dol (R) prepares for his match against Googles artificial intelligence program, AlphaGo, during the Google DeepMind Challenge Match on March 10, 2016 in Seoul, South Korea. (Photo by Google via Getty Images)

In life, unlike chess, the game continues after checkmate. Isaac Asimov

Historian and technologist David Nye has argued that the meaning of a tool is inseparable from the stories that surround it. In the context of artificial intelligence (AI), those stories have been dominated by the games that AI systems play.

It started with the Mechanical Turk, the chess-playing machine unveiled in the late 18th century. Although the so-called machine was a hoax, it set a precedent you could even say, initiated an obsession for computer scientists for centuries to come. According to Nathan Ensmenger, a computer science professor at Indiana University, many in the computing community believed that once a machine mastered chess the intellectual game par excellence, according to Nobel Laureate Herbert Simon one would seem to have penetrated to the core of human intellectual endeavor.

In 19651966, Soviet mathematician Alexander Kronrod called chess the drosophila of AI. By that he meant that the game was to artificial intelligence research what the fruit fly had been to genetics research: a testbed for the fields biggest ideas, at once accessible enough to experiment on easily and complex enough to learn from. Fruit flies are easy to maintain in a small lab, have a short reproductive cycle of one to two weeks (enabling researchers to study multiple generations in a matter of months), and have over 60% of the disease-causing genes in humans. As David Bilder, former president of the National Drosophila Board of Directors, points out, fruit fly research has led in one way or another to five Nobel prizes over the past 85 years. Chess, computer scientists believed, could have a similar impact on AI. Ensmenger noted a few years ago that, It is a rare discussion of AI, whether historical, philosophical, or technical, that does not eventually come around to chess-playing computers.

Nor were computer scientists the only people convinced that chess was AIs alpha and omega. When on May 11, 1997, IBMs Deep Blue computer beat Garry Kasparov, the media and public response was enthusiastic. This seemed to prove the legitimacy of computers, demonstrating that they could now emulate, and even beat, humans at a task that was both mathematically and technically difficult but also one that involved as much art as science. Was Kubricks HAL 9000 just around the corner?

As the initial excitement settled down, critics began questioning what this accomplishment actually meant for machine intelligence. John McCarthy, the organizer of the worlds firstAI conference at Dartmouth, wrote in a piece published in Science in 1997 that Computer chess has developed as much as genetics might have if the geneticists had concentrated their efforts starting in 1910 on breeding racing Drosophila. We would have some science, but mainly we would have very fast fruit flies.

Others shared that critique. In 1990, MIT professor Rodney Brooks argued that the fields obsession with games was problematic in that it anchored intelligence to systems of symbols rather than to the sort of physical reality that supports and propels human intelligence. Traditional AI has tried to demonstrate sophisticated reasoning in rather impoverished domains, wrote Rodney Brooks in an article titled Elephants Dont Play Chess. Programmers, he said, should aim for AI that performs simpler tasks like understanding language or manipulating objects in the physical world than winning chess tournaments but that operates robustly in noisy complex domains rather than the sea of symbols that games provide. The programmers, however, did not heed his advice. Games conveniently offered a setting in which AI systems could compete against the top-ranked humans and against each other to easily quantify progress.

Jeopardy would be their next touchstone. In 2011, IBMs Watson, a natural language processing (NLP) and question-answer system built on a supercomputer, set out to beat Ken Jennings and Brad Rutter, the two best players in the history of the hit television game show. Research showed that in order to surpass human Jeopardy champions, a computer would have to be far more multi-faceted than Deep Blue was in 1997. For example, turn-taking doesnt exist in Jeopardy. Instead, a player has to decide, very quickly, how confident it is that it will be right. It also needed to be able to choose categories and clues, and to develop wagering strategies. Watson was able to manage all those tasks. When the game ended, the computer had won $77,147, Jennings $24,000, and Rutter $21,600. Jennings responded to his defeat with good humor. At the bottom of his Final Jeopardy response, broadcast live, he wrote, I, for one, welcome our new computer overlords.

In 2014, Google bought the UK start-up DeepMind, a company specializing in AI research and neural networks, and turned its attention to a new game board Go. Its AlphaGo program beat Gos reigning champion, Lee Sedol four games to one.

Recently, a research team at CMU built a Poker-playing bot that beat top professionals at six-player no-limit Texas holdem Poker. Unlike Chess and Go where you know the exact positions of your pieces and those of the opponent at any given time (i.e. games of perfect information), Poker is a game of imperfect information. Your opponent has hidden cards that influences their gameplay in the future. Having AI that can play Poker well is a huge step forward because most real-world interactions (e.g. consider negotiating with a counterparty) involve imperfect information.

So what comes next now that AI can beat humans at even Poker? What game would push machines to new levels of human-ness, in order to surpass humans? The history of computing has shown that what we conquer determines where we go next.

I recently spoke with James Barrat, a documentary filmmaker and author of The Final Invention. At some point in the conversation, the subject of games arose, and I asked him which one he thought computer scientists and their AI systems might tackle now that even Go had been conquered. He sat back, considered it, and finally said something Ive not been able to forget: I dont think there are any games left. The next game is reality.

This post is based on a chapter from my book A Humans Guide to Machine Intelligence.

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The Games That Machines Play. After Chess and Go, what game will | by Kartik Hosanagar | Jan, 2022 | OneZero - OneZero