Considered by many to be the strongest chess engine on planet Earth. Leader of many rating lists. Stockfish was released in version 15 and is stronger than its predecessor by about 30-40 Elo. Source: Stockfish home page Below is information from the Stockfish chess engine website about the latest release: "Stockfish 15 continues to push the boundaries of chess, providing unrivalled analysis and playing strength. In our testing, Stockfish 15 is ahead of Stockfish 14 by 36 Elo points and wins nine times more game pairs than it loses. Improvements to the engine have made it possible for Stockfish to end up victorious in tournaments at all sorts of time controls ranging from bullet to classical and even at Fischer random chess. At CCC, Stockfish won all of the latest tournaments: CCC 16 Bullet, Blitz and Rapid, CCC 960 championship, and the CCC 17 Rapid. At TCEC, Stockfish won the Season 21, Cup 9, FRC 4 and in the current Season 22 superfinal, at the time of writing, has won 16 game pairs and not yet lost a single one. This progress is the result of a dedicated team of developers that comes up with new ideas and improvements. For Stockfish 15, we tested nearly 13000 different changes and retained the best 200. These include the fourth generation of our NNUE network architecture, as well as various search improvements. To perform these tests, contributors provide CPU time for testing, and in the last year, they have collectively played roughly a billion chess games. In the last few years, our distributed testing framework, Fishtest, has been operated superbly and has been developed and improved extensively. This work by Pasquale Pigazzini, Tom Vijlbrief, Michel Van den Bergh, and various other developers is an essential part of the success of the Stockfish project. Indeed, the Stockfish project builds on a thriving community of enthusiasts to offer a free and open-source chess engine that is robust, widely available, and very strong. We invite our chess fans to join the Fishtest testing framework and programmers to contribute to the project. The Stockfish team" Thanks to the amazing Team and the entire Stockfish Chess Engine Community, the source code is very transparent and written in such a way that Stockfish can be compiled and run on any popular operating system. For your convenience, I have included links below to download Stockfish 15 along with the source code.

The latest version of the Wasp chess engine brings a strength increase of about 50 Elo points and the Neural Network used for position evaluation is now embedded into the Wasp binary file. Logo by Wilhelm Hudetz (Austria). Below is information from John Stanback, who is the author of the Wasp chess engine. "The Neural Network structure is as follows: - 1824 Inputs (2x2x7x64 for piece/square combinations plus 32 for material difference). - Only one hidden layer with 640 nodes, using "leaky ReLU" activation. - Three outputs, using sigmoid activation. If either side has any non-pawn pieces the evaluation is interpolated from the first two outputs. For king and pawn endgames the third output is used. The NN was trained on a dataset of about 130M positions taken from games between Wasp and various engines of roughly similar strength (including previous versions of Wasp). The target value used for training is based 50% on game result and 50% on Wasp's score from a 10K node search. The net was trained using a total of about 150 billion samples which took about 56 hours using 24 threads. I continue to add positions to the training dataset and hope that this will give some improvement for future versions. A few small changes were made to the search. These include modifications to the criteria used for static null move pruning, constants used for updating the move history counters, and late-move reduction criteria." Source: Frank's Chess Page

Do you want to play with an engine that supports different varieties of chess? Fairy-Stockfish is the answer to such a need. It's an engine developed from Stockfish that can play probably all known chess variants. Chess variants Capablanca, Janus, Modern, Chancellor, Embassy, Gothic, Capablanca random chess Grand, Shako, Centaur, Tencubed, Opulent Chess960, Placement/Pre-Chess Crazyhouse, Loop, Chessgi, Pocket Knight, Capablanca-Crazyhouse Bughouse, Koedem ..., As if that weren't enough, Fairy-Stockfish supports regional and historical games: Xiangqi, Manchu, Minixiangqi, Supply chess Shogi, Shogi variants Janggi Makruk, ASEAN, Makpong, Ai-Wok Ouk Chatrang, Kar Ouk ..., And even it can also play user-defined variants loaded via a variant configuration file. Fairy-Stockfish, by Mr. Fabian Fichter, is a free open source chess engine under the GNU GPL 3.0 license. Without a doubt, the development of this engine would not have been as extensive in terms of chess variants supported if it were not for the numerous contributors listed here. Interested? The developers provide an opportunity to try the engine online using a web browser. In order to play with Fairy-Stockfish on your computer, you need to use a program that supports the game of the chess variety you are interested in. A good choice is the Cute Chess program described recently on chessengeria.com. The author also recommends other free GUIs. To make the game more interesting, you can determine the strength of the engine's play with the UCI Elo parameter (the UCI_LimitStrenght parameter must be enabled). The available parameters are described in detail on the engine's GitHub page. Here are some screenshots from the Cute Chess program; Crazyhouse variant, Fairy-Stockfish strength 1000 Elo. #1 #2 #3 #4 Playing with Fairy-Stockfish is really a lot of fun! Especially for engine skirmish enthusiasts, Fairy-Stockfish has dedicated neural networks for specific chess variants, which will significantly increase power. Fairy-Stockfish is a very well-documented chess engine worth having in your collection. All you need to enjoy it is any computer, even the oldest one. And that's why, in addition to compilations for contemporary computers, I've prepared downloadable binaries, also for 32-bit machines, whose glory years are long behind them. All files are in widely compatible versions. Linux arm32 & arm64 & x64 – Compiled by Darius Mac Apple Silicon & Intel – Compiled by Darius Windows x32 & x64 – Compiled by Darius You can still find other and older versions of this chess engine here. In the Files area you will find free chess engines for download.

Welcome the newest version! Velvet is a free open source chess engine written in Rust, licensed under the GPL v3.0. Source: GitHub Behind the velvet curtain... ...Hides a real and strong chess aggressor who can play in an extremely impressive style - you can find examples here. Velvet, is one of my most favorite chess engines. Why? Because it plays exceptional chess. And while there is no shortage of equally strong or more powerful chess engines - none of them play like Velvet can :) Here is an example of what latest Velvet is capable to an opponent with a strength of well over 3000 Elo; white: Sting SF 28 AI, black: Velvet-5.0.0. Having previously sacrificed Rook, Velvet does not hesitate to give extra to Bishop to get the white King! 36...Bc3+!! App: Acid Ape Chess GM Edition After playing 700 games, the latest Velvet-5.0.0 has settled at 3342 Elo This is 55 Elo more than its previous version 4.1.0. Source: MCERL (ongoing) Here's what author Mr. Martin Honert has added to the latest version. " Add support for MultiPV analysis Add support for UCI "go mate ..." command Add support for UCI "go searchmoves ..." command Improved training set generator and NN trainer New neural network based upon 4.1.0 self-play training data Some minor search improvements Some minor optimizations Update to latest Rust version (1.66.0) " It is worth noting the new MultiPV Analysis function, which will certainly be useful for multivariate analysis of chess positions. Program: Hiarcs Chess Explorer Pro (custom pieces & board theme) Thanks to Mr. Martin Honert, the chess community has the opportunity to use Velvet chess engine on various devices and operating systems. Feel free to visit the downloads section. Android – Compiled by Archimedes Linux arm64 – Compiled by Darius Linux x86_64 – Compiled by Mr. Martin Honert macOS – Compiled by Mr. Martin Honert Windows x86_64 – Compiled by Mr. Martin Honert

Exactly one year later, we lived to see the release of the next main version of the Lc0 chess engine. This release is special, particularly for Mac users. Lc0 chess engine logo, source: CPW Leela Chess Zero (Lc0 for short) is a unique chess engine. It is an open source and free under the GPL 3 license. Unlike "ordinary" engines, Lc0 is able to use the power of GPUs (graphics processing units), advanced MCTS algorithms and neural networks. The more powerful the GPU and the more advanced the neural network, the stronger Lc0 plays. Until recently, the preferred platform was Nvidia GPUs, using which Lc0 achieved the best results - see below the CCRL ranking list - Lc0 ranks a high fourth. Source: CCRL With the release of Lc0 version 0.29.0, the Developers have begun support for advanced Mac computing units. And the result is... astonishing ! On a MacBook Pro with an Apple Silicon M1 processor, Lc0 0.29.0 with a default network of 791556, after playing 1,000 games, achieved a ranking of 3403 Elo 373 Elo more than its previous version Lc0 v0.29.0-rc0 (714679) and 588 Elo more than Lc0 v0.28.2 (42850). Source: MCERL (ongoing) In 2022, such a spectacular increase in power on the Mac can boast no other TOP chess engine. Heartfelt congratulations and thanks to the Lc0 Creators for such a successful leap forward :) It is worth noting that Lc0 for Windows PCs and Nvidia GPUs has been in development for many years. And the long-awaited support of modern Macs appeared for the first time. All the more, a jump in the strength of the game by almost 400 Elo is so impressive! And what will happen in a few years? I'm already looking forward to the coming future. I am very happy and respectful of the fact that more and more Creators are supporting modern Macs. It is very good for their users :) And it's great news for the chess community, which is connected using in different devices :) Lc0, in addition to being and stronger, can play beautiful chess. I already invite you to follow MCERL, where I publish games worth watching. Download area Android – Compiled by Lc0 Developers Link to the Creators page Linux ARM & Intel – Compiled by Darius Mac Apple Silicon & Intel – Compiled by Darius Nets's for Lc0 0.29.0 – by Lc0 Developers Windows – Compiled by Lc0 Developers Link to the Creators page

The strongest Stockfish has seen the light of day :) source: Stockfish website Within the MCERL games, the results achieved by the 20221202 development version of Stockfish left no doubt - we are dealing with the strongest incarnation of this chess engine. And indeed, after a few days this very version was renamed Stockfish 15.1. Source: MCERL (ongoing) Stockfish 15.1 compiled for Macs is noticeably stronger than its predecessor. The 600 games this engine has played is not a small number, but it is not a lot either (e.g., 10000), so please consider the results as its approximate strength. Here's what the developers wrote in releasing Stockfish 15.1 " Today, we have the pleasure to announce Stockfish 15.1. As usual, downloads will be freely available at stockfishchess.org/download Elo gain and competition results With this release, version 5 of the NNUE neural net architecture has been introduced, and the training data has been extended to include Fischer random chess (FRC) positions. As a result, Elo gains are largest for FRC, reaching up to 50 Elo for doubly randomized FRC (DFRC). More importantly, also for standard chess this release progressed and will win two times more game pairs than it loses against Stockfish 15. Stockfish continues to win in a dominating way all chess engine tournaments, including the TCEC Superfinal, Cup, FRC, DFRC, and Swiss as well as the CCC Bullet, Blitz, and Rapid events. New evaluation This release also introduces a new convention for the evaluation that is reported by search. An evaluation of +1 is now no longer tied to the value of one pawn, but to the likelihood of winning the game. With a +1 evaluation, Stockfish has now a 50% chance of winning the game against an equally strong opponent. This convention scales down evaluations a bit compared to Stockfish 15 and allows for consistent evaluations in the future. ChessBase settlement In this release period, the Stockfish team has successfully enforced its GPL license against ChessBase. This has been an intense process that included filing a lawsuit, a court hearing, and finally negotiating a settlement that established that ChessBase infringed on the license by not distributing the Stockfish derivatives Fat Fritz 2 and Houdini 6 as free software, and that ensures ChessBase will respect the Free Software principles in the future. This settlement has been covered by major chess sites (see e.g. lichess.org and chess.com), and we are proud that it has been hailed as a ‘historic violation settlement’ by the Software Freedom Conservancy. Thank you The Stockfish project builds on a thriving community of enthusiasts (thanks everybody!) that contribute their expertise, time, and resources to build a free and open-source chess engine that is robust, widely available, and very strong. We invite our chess fans to join the fishtest testing framework and programmers to contribute to the project. The Stockfish team " Source: Stockfish 15.1 page * Feel free to download Stockfish. Android – Compiled by Stockfish Developers & Archimedes Linux ARM – Compiled by Darius Linux 64-bit – Compiled by Stockfish Developers Mac Apple Silicon & Intel – Compiled by Darius Windows 32-bit – Compiled by Darius Windows 64-bit – Compiled by Stockfish Developers * All archives were created using the multiplatform open-source archiver 7-Zip. If you need a tool to unzip a 7-Zip archive, feel free to download it from the Files section.

A chess engine ranked in the respected Swedish Rating list, which is an honor in itself. Its origins date back to 2000, when its author Mr. Martin Danielsson published its first versions as closed source code. Development of the Marvin engine continued until 2005, when there was a hiatus until 2015. Marvin returned in version 2.0.0 released as open source engine under the terms of the GNU General Public License (GPL3). And... stronger by as much as 450 Elo. Such a comeback was a beautiful surprise for computer chess fans! Since then, the author has been vigorously strengthening his creation, resulting in the latest Marvin 6.1.0 using a neural network o playing with a strength over 3300 Elo. Nice jump :) Marvin is one of the strongest "golden oldies", whose strength increases significantly when given several CPUs. Source: CCRL It is an engine that often opts for a sharp and impressive style of play. He sees far and wide. He does not hesitate to sacrifice pawns and figures to gain the initiative and take control of the game. Very consistent in his pursuit of his goal, unafraid to take risks. When playing, it can surprise. And its game can be enjoyed. * Let's see a sample of the skills of the Marvin chess engine. Game #1 White is commanded by Komodo 12.1.1, which was one of the strongest engines in its time. Black has the Marvin 6.1.0. 16...h5 Novelty. And what a one! Marvin reveals his ambitions - attacking the white king despite a very strong fortification. 20... b4! Black sacrifices a pawn to open a diagonal for their Bishop which is intended to take control of the game. 24...g5 Marvin has been consistent in his strategic thinking as he prepares his figures for the assault. Komodo, although somewhat passive is playing correctly, not allowing itself to make major mistakes. The situation on the chessboard is escalating. 32...Rf3 ! Marvin takes advantage of his opponent's weak move by offering the sacrifice of Rook. Komodo does not accept the sacrifice, correctly calculating that it would lead to a very quick defeat. 38 a6 ? Komodo's losing move. At this point, with super accurate play, Marvin would have won the game. Unfortunately for Marvin, he did not play the best move in this position and chose a 38... Rh8, which led to a draw. After 38. a6 ? the strongest and most impressive move would be 38.... d4 !! with the idea of sacrificing the two black pawns so that the black Bishop would have an open path towards the key square e4. For the first time in the Oldie goldie series, I presented an excerpt from a game that ended in a draw. Komodo - as befits a class opponent - bravely defended itself. And Marvin showed his best side, showing what he could afford to do to tip the balance of victory to his side. Game #2 This time Marvin's opponent is Arasan 23.4 - a challenging player that boasts a beautiful development history. Marvin has white. Let's take a look at the situation on the chessboard. The position arose after the Spanish opening, the kind of position we've probably seen many times before. Black is looking for its chance on the Queen's wing, white is looking out for opportunities on the King's wing. Arasan didn't play his best in this opening, as he buckled with black-field Bishop instead of bringing his white-field counterpart into play. 22. Qd3 ! Marvin decides to sacrificing Rook for Bishop in order to take the initiative and open diagonals. 28. Bf5 Was it worth it? Yes! After just a few moves, white has a strategically winning position: all their figures are engaged and active, the white-field Bishop is very strong and located near the black King; the black Knight is practically non-existent, the H-line is open to a possible direct attack by the white Rook on the black King's position. Arasan seeing it tries to save the game by trying to evacuate his King from the danger zone. But it is too late. 35. Rd1! The White Rook although far away, is extremely operative and able to immediately integrate into the center of events. 43. d7 After several exchanges and reduction of material, black is almost paralyzed, although they have 1 more pawn and Rook instead of Bishop. 55. Qe5 Absolute domination of the whites. In a few moves Marvin will win the game by matting black's King. A remarkable demonstration of Marvin's execution of good strategy, how instructive that in chess, material advantage does not translate into advantage - even in engine games at the 3300 Elo level. Marvin is a chess engine that plays inspirational chess. Strategic knowledge allows this engine to find exciting ideas, lines and tactics that make the game interesting and bring favorable results. Feel free to download Marvin chess engine. Android – Compiled by Archimedes Linux ARM – Compiled by Darius Linux x64 – Compiled by Martin Danielsson Mac Apple Silicon & Intel – Compiled by Darius Windows – Compiled by Martin Danielsson * The diagrams and annotations were generated using Chess Assistant 22 and Koivisto 8.16.

You are cordially invited to read the 2022-11-18 edition of the MCERL rating list. A screenshot from Deep Shredder 13 "(...) Are the results achieved by chess engines running on a Mac surprising ? Yes and No. ​ Yes, Older engines can play wonderfully, even thrillingly, and with great power. For example, OliThink on Mac boasts a strength of 3026 Elo. I invite you to read the posts on the topic of Oldie goldie ( example ). No, I was happy to engage the Rodent engine with Tal's personality, trusting that he would reach at least a grandmaster ranking and show how to play in the style of the Eighth World Chess Champion. I was not disappointed, Rodent (Tal) reached 2769 Elo which corresponds to the strength of a grandmaster of the world's top players. " Enjoy :)

A chess engine with more than a quarter-century of history. Its origins date back to the 1990s. Unusual, with almost no chess knowledge, playing with a strength of 3025 Elo! OliThink is a free open source chess engine by Oliver Brausch, written with C and Java versions available; license: MIT. Looking from a programmer's point of view, almost all chess engines are written in a similar way: they contain from several to dozens of files which results in thousands - tens of thousands of lines of source code and a huge number of functions, procedures, subroutines, etc. In short: they are complex programming creations. OliThink consists of... a single file, which contains within it all the source code needed to build the engine. It is an incredibly fast chess engine capable of counting hundreds of millions (!) of moves in just one second. Quoting the author: " One of the main aims was to create a strong engine with minimalistic and clear code. OliThink has no chess knowledge except mobility. The size of the source code has never exceeded 50kByte. Everything in the code is unique, there is no copy of other engines. " Source: GitHub This small in size but powerful in strength OliThink is so well written by Mr. Oliver Brausch that it can easily be compiled under probably any architecture that supports C or Java, allowing fans of different operating systems to enjoy this chess engine. " Complete rewrite of OliThink with a very fast move generator (based on OliPerft). Engine runs without any chess information. No pawnstructure, no tables etc. " Source: OliThink home page. In the MCERL competition (ongoing), the latest version of OliThink-5.10.1 playing on a fast MacBook Pro with an Apple Silicon CPU reached a strength of 3025 Elo. According to the CCRL rating list, the previous version of OliThink-5.9.7 received 2868 Elo. Source: CCRL Below are examples from two games in which OliThink has faced other engines playing at levels higher than 3000 Elo. White has Avalanche, which is the first and strongest chess engine written in the Zig programming language. For the price of one Pawn, OliThink has gained a promising position in which it has the initiative. Avalanche plays the innocuous 17.c3?? with the goal of reinforcing the white Pawn standing on the d4 field, which is attacked by the black Queen and Knight. Unfortunately, this is a dramatic miscalculation when the opponent is such a fast counting engine as OliThink. Black with the help of only a few forcing moves plunges white. After playing the black Rook and expelling the white Queen, there is a beautiful move by the black Knight to the h4 field, 18...Nfh4! If the white Queen moves away, the game ends with the white King's mate. Avalanche accepts the sacrifice of the black Knight. Events are moving quickly. After only 21 moves, OliThink achieves a decisive advantage. Avalanche put up hopeless resistance for several more moves. A short and nice game in which OliThink showed his tactical skills. Downloadable game in PGN format. In the next game, OliThink's opponent is chess engine Winter, a demanding and relentless player with a strength of 3147 Elo. This game is somewhat similar to the one previously discussed, as black sacrificed Pawn to gain initiative and attack. And this time it was accomplished by Winter. Let's see how OliThink dealt with Winter's massed downright frenzied attack. Winter played 21...Bh4? attacking the white King's position putting pressure on the white Pawn on the f2 square, which is weak at this moment. OliThink strengthens the white king's defense and brings the Queen into his vicinity. Winter introduces a second black Bishop into the scene, however, the whites remain calm and play according to a precise defense plan. Black continues to increase the pressure, throwing all forces into a direct attack on the white King's position. Here is an example of how important and effective it is to properly secure the King. The five strongest black figure attacks exert tremendous tension. OliThink disorganizes the black attack, advancing the white pawn farther and farther up to the d6 square. Winter takes a desperate action to break down the white King's defenses 34...Bxg3!. It sacrifices Bishop, but OliThink defends himself toughly. After that, there is a reduction of material on the chessboard. OliThink clarifies his decisive advantage. Few more moves. Winter is down two figures; OliThink emerges victorious from this hard battle. An excellent game by both players. Winter took his chances, and would have had a good shot at victory had OliThink made even the slightest mistake. Unfortunately for Winter, OliThink played in an extremely tough and composed manner. Downloadable game in PGN format. OliThink is a real badass among chess engines Oldie goldie! I invite you to download OliThink. Android – Compiled by Archimedes Linux ARM – Compiled by Darius Linux x64 – Compiled by Oliver Brausch Mac Apple Silicon & Intel – Compiled by Darius Windows – Compiled by Oliver Brausch

Hello Dear Reader! Today I am pleased to present to you the results of the survey conducted and the analysis and conclusions. Over the past week, I have had the opportunity to collect survey data on readers' preferences related to our blog. Thanks to the responses I received, I gathered valuable information about interests and needs. In the following post, I will discuss the main results of the survey and present the conclusions of the analysis. The analysis is not limited to the survey results alone. I also took into account reports on blog traffic, the time you spend on our site, as well as what you read most often and what you are most interested in. This allows me to form conclusions as to the likely future best direction Chessengeria.eu will take. I am very grateful for your active participation in filling out the surveys, and I hope that you will find the results I present as interesting as I do. Without further ado, I invite you to read on! Traffic data. What are the most common places Chessengeria.eu is read from in the world ? Europe and the Americas led the way here. Also, visible are places in southern and eastern Asia and India, and the largest concentrations of people in Australia and New Zealand. Africa is mainly the northern and southern parts. From which countries do the largest number of Readers come ? The largest group of Readers is from the United States, Germany and Poland. People from the United Kingdom, France, Spain, Italy and Belgium and the Netherlands also visit our blog in great numbers. A large chess community also comes from India, Brazil, Canada and Sweden. (Darker color = more Readers) What is the traffic on Chessengeria.eu and what devices are readers using ? In the past few months from September 2022 to the end of February 2023, traffic on Chessengeria.eu has increased by more than 3 times, more than 300% ! Most Readers use a desktop computer (desktop or laptop), there are about 70% of them. Mobile device users account for about 30%, mainly smartphone users. What are the most visited pages (TOP 20) and how long on average does one Reader stay on each page ? For the last 6 months, at the forefront are reviews, courses, articles and how-to's. For comparison, the number of hits on specific pages in recent days: As you can see, the Files section, where you can find and download chess engines, among other things, is one of the most visited pages. The forum, is also very popular, probably because of the publications on the latest engine compilations. The homepage is in the lead because in recent days it was the first page visited by Readers, from which they accessed all content. How much time does a Reader average spend consuming Chessengeria.eu content ? Before answering this question and explaining why it matters, let me assure you that this is the last chart :) Taking this opportunity, in the image below I show the administrative dashboard of our blog through which I access this data and charts. Here's what ChatGPT's artificial intelligence model told me about reading time for blog content. Based on the data shown in the chart above... The average session time of a Chessengeria.eu Reader is well over 10 minutes ! That is, Readers spend several times more time on our blog than is statistically the case on the Internet on other blogs. Of course, I checked ChatGPT's answer. And indeed, there is no mistake here. The average time of a reading session on blogs is from 3 to a maximum of 6 minutes. Reading sessions longer than 10 minutes – this is a remarkable result. We have achieved it together, thanks to the involvement of you and the entire Chessengeria.eu community. Thank You :) Survey results. I present findings based on all survey responses. 44% will pay to access content. 56% of readers are unwilling to pay for content. 59% will accept ads. 41% will not accept ads. 58% prefer subscriptions that give access to all content. 42% want to subscribe only to content that interests them. What content would you be to pay for access to ? Ranked by the number of votes cast, with the most desirable categories first (Files) and least desirable categories last (Newsletter) Access to Files (chess engines, etc.) and For all contents - most popular. Reviews Articles How-To’s Courses Interviews Other Newsletter (comments and summary of the month / year) - the least popular. How much would you be willing to pay for a monthly subscription with access to all content ? The majority decided that a maximum of $5 monthly. 78% cast their vote to create the option of paid consultations for subscribers who want a more personalized approach including eg. coaching / lessons / problem solving / etc. 72% think it is a good idea to make available for free to paid subscribers a closed group where ideas, experiences and files could be exchanged with other users. Only 10% are interested in a paid newsletter service delivered to email address, which would include highlights from Chessengeria.eu and the world of computer chess for the past month/year. 69% have no need for participation to referral program where subscribers get discounts or bonuses for recommending the blog to their friends. Is there anything I can do to make your experience using Chessengeria.eu even better ? I won't hide, I got emotional reading your many responses to this question. I took note of a lot of constructive responses, concrete proposals and expressed appreciations and thanks. Before I quote a selection of anonymized responses, I share a screenshot from my program, which compiled the most common words in your responses to this survey question. Please consider this as a curiosity. Here are some of your answers selected from among many others: For all the answers I thank you from the bottom of my heart. I have carefully read, noted and analyzed all the answers you have given. Summary. Chessengeria.eu is growing rapidly and is read in many parts of the world. Most people are using desktop computers reading our blog. In recent months, the Files section, from which chess engines and bases are downloaded, has been the most popular. Readers spend the most time on specialized content, such as courses, how-to's and articles. Reviews, is one of the most visited sections, where Readers spend 20 minutes or more. The average time per session is very high at more than 10 minutes. This is well above the statistical average. Everything combined translates into an increasing number of Readers. According to the surveys, a significant number of readers (44%) are willing to pay for access to content, while the majority (56%) are not. In addition, a majority of readers (59%) are willing to accept ads, while 41% would prefer not to. More than half of respondents (58%) prefer an all-inclusive subscription that gives access to all content, while the remaining 42% prefer a subscription tailored to their needs. Based on the survey data, it can be seen that readers are willing to pay for access to certain types of content, with file access being the most desired category, followed by reviews, articles, how-to's, courses and interviews. Most respondents were willing to pay a maximum of $5 for a monthly subscription with access to all content. However, it should be noted that a significant number of respondents (78%) expressed interest in paid consultations for a more personalized approach, while 72% liked the idea of a closed group for subscribers to exchange ideas, experiences and files. It is worth noting that most respondents (69%) were not interested in participating in a referral program that offers discounts or bonuses for recommending a blog to their friends. Conclusions. The Files section will be developed. More and new Engines and chess programs will be added. Yes, the Files section will soon feature chess programs, as suggested to me by many people via a survey. Reviews, articles, how-to's and other sections will be enriched with new content according to the existing formula, i.e., e.g., thorough and extensive reviews, comprehensive how-tos, etc. Given that a significant number of respondents have expressed interest in paid consultations for a more personalized approach, such a service will be introduced. Since most respondents liked the idea of a closed group for subscribers to exchange ideas, experiences and files, Chessengeria.eu will most likely feature such a group. Based on the data provided, the majority of readers (59%) are willing to accept ads, while 41% would prefer not to. In addition, readers spend a significant amount of time on the blog, and their number is growing. Therefore, there will most likely be ads on Chessengeria.eu but only in selected sections of the blog. The ads will not be intrusive and will not negatively affect the Readers' experience, as a large portion do not want to be distracted. Since a significant number of readers are willing to pay for access to the content they are interested in, there will likely be an all-inclusive subscription (access to all content and files) offer and separate cheaper subscription offers for specific content tailored to readers' needs. Any changes will be implemented on Chessengeria.eu on April 1, 2023 at the earliest. Members of the Chessengeria.eu Readers community are united by the fact that they want to read and also have access to all content and the Files server. The division is also clear. Roughly half want it to be done without ads and in a comfortable reading environment. The other half accepts ads, but doesn't want them to be intrusive and accepts a small monthly fee for access to selected content, such as the Files server. Are the above-mentioned actions the so-called "golden measures" that will provide readers with the best possible experience of using Chessengeria.eu ? I firmly believe so, because we have worked it out together. Once again, I sincerely thank you for completing the survey and the great understanding you see in your survey comments. Without your help, support and commitment, Chessengeria.eu would not be what it is today and what it will be in the future. Thank you for your trust, Darius, chessengeria.eu founder

Dear Reader, I want to start by thanking you for your past support and involvement in the development of Chessengeria.com. I am pleased to report that the number of Chessengeria.com Readers is growing extremely fast. I am glad that more and more people are visiting the pages of our blog and using the reviews, courses, articles and downloading chess engines. Our community of Readers already numbers in the thousands, and I am very proud of that. Thanks to Chessengeria.com Readers and their feedback, I am sure that my work is bearing fruit and that the content is reaching a wider and wider audience. At the same time... Due to the increased traffic, I need funds to maintain the site and invest in the tools and software needed to further develop it and provide even better content and services. I am considering introducing advertising or paid subscription So that I can maintain the high quality of the site and provide you, Dear Reader, with the best possible experience while using Chessengeria.com. What is important to me is... What you think about such a solution. Beginning today, I have started sending a survey link to registered and active members of the Chessengeria community. If you have not yet received an invitation to complete the survey, please check your email inbox or write to me for the survey link. Your answers are essential to me, and your opinion will help me decide the best direction for our Chessengeria.com blog. Once again, thank you very much for being a member of the Chessengeria.com community of Readers. I believe that our chess journey together will continue and bring much benefit and satisfaction. If you have any questions, suggestions or comments, don't hesitate to contact me. I am here for you. Of course, the comments section below this post is also at your disposal. Thank you for your trust, Darius, chessengeria.eu founder

Another great surprise for computer chess aficionados! The recognizable and well-liked Booot chess engine has seen the light of day in version 7.1. Booot is a free chess engine with shared source code by Alex Morozov. It is the most powerful chess engine written in Pascal language ! Here are what changes have been made in Booot 7.1. " 1. Finally i revisited all IO and SMP code and excluded all Windows dependencies. From this time it is possible to build Booot under any OS with FreePascal (Lazarus) compiler. I build binaries also for Linux and Macos (Darwin64). 2. Completely rewritten all Asm SIMD procedures. There are 3 binaries under all platforms : for Avx2, for avx+pext(bmi2) and for avx512 3. Releases now are in GitHub with sources. 4. Finally i found and fixed the oldest BUG, causing hangings and crashes in SMP (especially with big number of threads, like TCEC). It was ugly. 5. Fixed bug "wrong PV" under cutechess-cli 6. Fixed bug cousing problems with cutechess-cli in "concurensy>1" mode. Now it works fine. 7. New , bigger, NN. From this time - NN will be inside the binary. 8. Booot is quicker, smarter, and, i hope, stronger. " Source: TalkChess It is noteworthy that the latest Booot has been prepared not only for Windows users, but also for those who use Linux and Mac (x64 versions). The only thing missing for full happiness is a version for Linux and Mac running on ARM CPU's, such as Apple Silicon. I don't want to jinx it, but... (soon I hope) there is a chance for a Booot binary for these devices. Here are two examples of what the latest Booot 7.1 is capable of. #1 Booot 7.1 (white) vs Viridithas 7.0.0 (black). Viridithas is a strong opponent, playing very impressively and dangerous at every stage of the game. Although Booot has a material advantage, it must play as accurately as possible to achieve victory in the following position. Booot 7.1 does this in an extremely impressive way: 54. Rxg7+!! #2 Stockfish 15.1 (white) vs Booot 7.1 (black). Is there a force capable of stopping one of the strongest chess engines in this world? And still in a game in which it disposes of white and attacks the exposed position of the black King? Yes...! Booot 7.1 can do this, and it did so playing against Stockfish 15.1. 32...f5! For fans of Booot chess engine and its author, perhaps something special will be coming for you soon - look out carefully on the chessengeria.eu :) Source: Giphy Booot 7.1 is ready for download from its page on GitHub. In the Files area you will find free chess engines for download. * Diagrams created with ChessBase 17