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𝗡𝗲𝘄 𝗘𝗽𝗶𝘀𝗼𝗱𝗲: “The Dark Side of Competitive Chess” 𝘌𝘹𝘤𝘭𝘶𝘴𝘪𝘷𝘦 Nemo akaNemsko Life Story We talk about: - How Nemo got into chess - Falling out of love with chess - How Nemo met the Botez sisters - Punishing yourself for losing - College applications with chess - Chess tournaments...

37,262 просмотров • 8 месяцев назад •via X (Twitter)

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Introducing: Chess in the Schools ♟️🇺🇸 For over 30 years, Chess in the Schools (CIS) has been transforming classrooms across New York City — bringing the power of chess to more than 500,000 students from low-income communities. At the heart of their mission: helping youth grow intellectually, socially, and personally — one move at a time. 📚 All programs are offered at no cost to students and schools. 💡 The results speak for themselves — based on teacher surveys: — 96% say they want the program back — 97% saw a positive impact on students — 91% reported growth in reasoning skills — 85% noticed students applying chess lessons beyond the board — 82% saw improved math understanding — 94% reported better cooperation and focus — 86% saw improvements in behavior and social skills 🗽 CIS serves Title I schools provides training and resources for educators, and even runs its own College Bound program to support student success beyond high school. 🌐 Website: 🎤 Jenny Ingber, President of Chess in the Schools, will be speaking at the Smart Moves Summit this August — join us to hear more about how chess can create real-world change. 🎟 Purchase your tickets: ✨ As part of FIDE’s Social Chess Year, we’re proud to spotlight this incredible initiative! Know a chess program changing lives? Email us at [email protected] — your story could inspire the world. 🌍 #FIDEsocialchess #EveryMoveMatters #SCY2025

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🧵06/34 Narrow vs General AI --- At first glance, this AGI being generally capable in multiple domains looks like a group of many narrow AIs combined, but that is not a correct way to think about it. It is actually more like… a species, a new life form. To illustrate the point, we’ll compare the general AGI of the near future with a currently existing narrow AI that is optimised at playing chess. Both of them are able to comfortably win a game of chess against any human on earth, every time. And both of them win by making plans and setting goals. The main goal is to achieve checkmate. This is the final destination or otherwise called Terminal Goal. In order to get there though it needs to work on smaller problems, what the AI research geeks call instrumental goals. For example: • attack and capture the opponent’s pieces • defend my pieces • strategically dominate the cetre (etc..) All these instrumental goals have something in common: they only make sense in its narrow world of chess. If you place this Narrow Chess AI behind the wheel of a car, it will simply crash, as it can not work on goals unrelated to chess, like driving. Its model doesn’t have a concept for space, time or movement for that matter. In contrast the AGI by design has no limit on what problems it can work on. So when it tries to figure out a solution to a main problem, the sub-problems it chooses to work on can be anything... literally any path out of the infinite possibilities allowed within the laws of physics and nature.

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Aigents! 🤖 Have you ever imagined a world where technology could not only see, but also understand and advise you? 🤔 Imagine playing a game of chess, strategizing each move, and then, with the help of AigentX, discovering the next winning move. This is not just a possibility anymore, it's reality! 🚀 Introducing AigentX's Image Processing feature! This isn't just about analysing and processing images; it's about bringing them to life with insights and guidance that we once thought could never become a reality and merely a figment of our imagination! 🤯 Picture this: You're deeply engrossed in a chess match, contemplating your next move. You snap a picture of the board and send it to AigentX. In moments, you're not just seeing the pieces – you're understanding the potential for your next move! 📸 AigentX doesn't just view the image; it interprets it, offering you useful insights and it isn't just chess! This feature can be taken straight to the real world with features like chart analysis and more! 📈 But that's just the beginning. AigentX is ready to transform how you interact with any image. From art analysis to real-world problem-solving, the possibilities are endless 📈 Check out our latest video below to see AigentX in action. This is more than an update; it's a leap into a future where your interaction with images is redefined 📻 Test out AigentX for yourself and witness how it's changing the game, one image at a time. Stay tuned for more – the journey with AigentX has just begun!

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22,621 просмотров • 2 лет назад

Top 100 of 80s games or not? Personally, I think Archon (1983 by Free Fall Associates) is still one of the best and most unique games ever made. And above all, even 40+ years later it still has an incredibly high (re)playability level. Sure, the graphics and sound could be better - but the concept is timeless. I have no doubt it will still be remembered (and played) in 10, 20, maybe even 50 years from now. What made Archon special was - among other things - the mix chess-like strategic board play and real-time arcade combat in a way that felt revolutionary for its era. While pure chess games existed, none had taken them to the next level and mixed in action sequences like Archon did. As a result it probably attracted a lot more gamers than a pure chess game ever would have. The board features three types of squares: permanent light, permanent dark, and "changing" squares that switch between different shades (from bright to dark, including greens). Your unit's strength (hit points, damage, etc.) gets a boost when standing on a square matching its side's alignment during combat. Timing and tactics mattered to take full advantage of this feature. Also different from traditional chess were the win conditions: you had to eliminate all enemy units, or control the five special "power points" on the board. But the real kicker were the units that you controlled (or fought against). Unlike chess, white and black had asymmetrical units with distinct movement speeds/ranges, hit points, attack styles (projectiles, area effects, flight, etc.), and special powers. One of the best 2-player games ever for 8-bit systems back in the day. I always felt it would be a great project for a modern remake.

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25,388 просмотров • 4 месяцев назад

.David Deutsch: "What's currently called AI and AGI are not only different from each other, they are very close to being the exact opposites of each other. The reason is that an AI, current AI is like an AI that diagnoses diseases or an AI that plays chess or an AI that controls a huge factory. Those things have objective functions, that is they have a function that they are designed to maximize and that is why they are used in those particular applications. Or in military terms, you could say the objective is to hit the target. You might say the objective is to hit the target unless some thing specified, but it's a specified thing comes up in which case don't hit the target and so on. This is, as I said, almost the opposite of what humans do when humans think. For a start, the AI has to be obedient, that is it has to actually do the things it is programmed to do, whereas a human is fundamentally disobedient, especially when being creative. When a human plays chess, they are performing a completely different kind of computation. They don't do the same things, they don't investigate the same possibilities that the artificial chess playing machine does, because the artificial one is capable of looking at billions and billions of possibilities, whereas the human can only look at hundreds or something. They are doing something completely different. Another difference is that the human can explain, can write a book later, having become world champion, can write a book saying how I did it, as the computer program that beats the world champion can write no such book, because it has no idea how it did it. It was just following a program. I was doing this and that and that and none of that is illuminating. Also, third thing, the chess player can decide I don't want to play chess anymore, from now on I will play Go or from now on I will play tennis. If commanded to play chess, the functionality will deteriorate completely. Those things are different. What we want in an AGI is that it behaves in a way that cannot be specified in advance, because if you specified it, you would already have the answer. The AGI program has to give unexpected answers, answers to questions we didn't even know how to ask."

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