KRY is transforming the world of healthcare by making care more accessible and convenient

It seems like ages ago when CryptoKitties became the very first blockchain gaming sensation. But it wasn't as long ago as you might think – four years, in fact. In the years since, the crypto gaming industry has advanced significantly, leading to the creation of unique games with novel gameplay mechanics and new player value propositions. But many of those games faced limitations imposed on them by the blockchains they relied on. According to a report by DappRadar, slowdowns and congestion on Ethereum's blockchain led to an at one point last year. That was obviously bad news for blockchain game developers, but even worse news for players – who couldn't play the games they'd come to love. 87% drop in gaming activity But crypto gamers don't have to worry about that anymore. Especially not now that the lightning-quick Binance Smart Chain offers developers the medium they need to create the next generation of engaging blockchain games. And that's just what we here at are doing. Ours is an immersive game that players won't be able to get enough of, and one that they can earn real money by playing. Here's what it's all about. Kryxivia What is Kryxivia? Kryxivia is an MMORPG game world we're creating that provides players with immersive 3D gameplay they can access through any modern web browser. But it's not just any game. Players in Kryxivia get to build their character for free – unlike current major blockchain games like Axie Infinity – and upgrade it through the game's play-to-earn mechanic. And since every character in Kryxivia is an NFT, that means every player has the opportunity to start from scratch and build a character that can fetch a high price on the open market if they choose to sell. It also means players have the option of purchasing a character to use if they want to dispense with the hard work of leveling up. In Kryxivia, the player is in control. They decide how they play, how and when they earn, and how far their character will go. The World of Kryxivia The world that Kryxivia's characters inhabit is one that offers endless opportunities. They begin their journey in Kryxivia city, an enclave that's grown up in the shadow of a mountain like no other. It's a place that houses a mine filled with artifacts from an ancient and powerful civilization. Those artifacts – called Kryxit – are mysterious crystals that hold immense magical power. Players can collect Kryxit by exploring the mine, encountering dangerous creatures, monsters, and dragons as they go. Defeating those enemies lets players retrieve the Kryxit they protect, and each one has unique power and purity levels that determine what it can do. When players link the Kryxit they find to items in their inventory, they unlock the ability to cast spells that allow them to best the creatures lurking deeper in the mine. And just as they can with their characters, Kryxivia's players can export the Kryxit they find into NFT form, creating yet another opportunity to profit from their gameplay. It's yet another way that players in the world of Kryxivia control their own destinies. If they want to spend their time adventuring, they can. And if they'd prefer to act as a merchant, leveraging their gamer knowledge to buy and sell items to other players, they can do that too. The Twin Kryxivia Tokens Of course, keeping an in-game economy like the one that animates life in Kryxivia isn't easy. That's why we've created two tokens for our players to use. The first, called the Kryxivia Coin Token (KXA), is the coin used outside of the game world to do things like purchase starter packs or participate in special NFT sales. It's the token that connects Kryxivia to the conventional blockchain world. The second, called the Kryxivia Shard Coin (KXS), functions exclusively as an in-game currency. Players can use KXS to upgrade their in-game inventory or purchase consumables like potions to help them on their mine quests. And that's another way that players can enhance their play-to-earn potential – by upgrading their Kryxit to make them more valuable when sold to other players. And in the future, players will also have the ability to take advantage of an in-game staking mechanic, too. All they'll have to do is go to the in-game bank and deposit some (or all) of their KXS, and they'll earn steady returns on their holdings. A Game Launch on the Horizon If the world of Kryxivia sounds fun and exciting to you, then we've done an important part of our job. But our work is nowhere near complete. That's because we're still several months away from launching our game. Right now, we're busy constructing a proof-of-concept version that will eventually power a pre-alpha test run sometime in the first few months of 2022. From there, we expect to proceed to a public beta by the middle of the year. By then, the majority of the game's main features and mechanics should be up and running, allowing us to turn our attention to expanding the scope of the in-game world to provide players with a constant stream of new challenges and experiences. We can't wait to get to that point. But there are some more immediate events that we'd like potential players to know about. And one of them is our upcoming IDO on December 2nd. It's happening over , providing members of the public the first chance to become a part of the world of Kryxivia. It's the first major step that will allow us to bring Kryxivia to life. We hope you'll join us as we do. And either way, we invite the crypto gaming community to look for upcoming news and developments as they happen. The future of crypto gaming begins now, so you won't want to miss a thing! on the decentralized VC platform Bullperks Featured image by kryxivia.io

Welcome to Kryxivia: The Future of Blockchain MMORPG Gaming

I am somewhat new to the world of hacking and programming, but it is a field that I enjoy being in. My weapons of choice are for my OS, and for programming. Parrot Python By now you may have heard the story of the 3 gentlemen who , the code used by The Zodiac killer, this really got me interested into completing a challenge I had started a few years ago, but never completed. The fantastic site , has some great hacking challenges that range the gambit of skill level. It is community created, so the difficulty levels sometimes isn't accurate, but they are all solvable non the less. cracked the Z-340 Over The Wire The particular challenge I'm speaking of is cleverly called , because it’s a crypto challenge, on the main page you are given hints and examples of how the encryption of that level works and it is up to you to hack in, find the files you need and decipher the code. Super cool. Krypton I've noticed a few things reading the levels, some of them might need some work to help shift the letters to the correct position to be able to do what is needed to solve the level. This is where python comes in for me. I'm very much a project-based learner, I found that that is the best way for me to learn. So the plan is to use python to create little scripts that would help me take in the alphabet text and manipulate it in the way suggested to get the result desired, and by that, it would be a 3-in-1 kind of project. I get to do some basic hacking, I get to learn some coding, and learn about cryptography. Do you have a similar learning project? Or have any tips for me? I hope this post has given you some ideas. This has been ryn0f1sh, The King of N00bs

Hack The Planet (Krypton)

lets you build your own automated strategies or use those of others Kryll Do you remember the days before you were refreshing CoinMarketCap every 5 minutes and didn’t have to check it first thing in the morning? Yeah, me neither. Going to work and actually being able to focus on your job instead of ruminating over your crypto investments and looking for every opportunity to see how they are doing and possibly make a quick trade? Long gone. Socializing or pursuing hobbies? Forget about it. Are we doomed? Not just yet — every now and again a shiny ICO comes along and promises to change everything. that finally seeks to alleviate our suffering. Kryll is a startup The strategy building interface The idea behind the project is really quite simple. The platform allows you to create your own custom automated strategies following a set of conditions of your choosing and built using a . The strategy flows can consist of blocks of logical operators, signals, variable values (market volume, trends, TA indicators), user notifications, orders. simple drag and drop style interface You can then for each user that uses your strategy. Alternatively, you can choose to rent some of the best strategies published by other users. publish it to the community hub and earn commission The strategy marketplace While features like stop-limits and such are useful and can save you from a disaster, they don’t come even close to the same amount of flexibility custom strategies are going to offer. Kryll provides a sandbox environment where you can test your strategies and see how they perform before you use them for real trades. They will only charge fees on live trading, so you can test and tweak all you like until you’re satisfied. Add to that the fact that Kryll is integrated with so you can set-up a strategy and forget about it, instead of micromanaging trades between multiple exchanges 24/7. all major exchanges Ready to dive in? Kryll is live, and you can . sign up here | | Official channels: Website Telegram Twitter

Kryll: Tired of crypto day trading? Automation is here to help

I’m addressing to the english speaking crypto community because such a community didn’t really exist in my language. I’m verry sorry for my level in english, I’ll hope that I’m understandable enough to be comfortably read and to participate adequately to the debate. Disclaimer: Hi there ! (kind of a second disclaimer :) ) My nickname is Sybille and I’m a KryptoNoob, I keep asking myself cryptonoob questions, because I want to understand what all of this fuzz is about. I’m reading a lot of articles about cryptocurrency, blockchain, coins, ICO and all that jazz in the cryptoworld. Sometimes I even dare to put a comment or ask a question on a medium article, but without having much answer, so far… That’s telling me that maybe I’m so noob that I’m asking questions that no one would bother to answer, that I’m not the center of the world (and that’s a shame), and maybe that my english isn’t good enough, and that while I believe that I can express myself in this language, I’m in fact leaving in a fantasy world where my ideas and speeches appear clearly in my mind and sounds as a strange borborygmi for others. But you know what ? I’m a cryptonoob enthusiast ! So enthusiast in Fact, that I have invested 1 000 euros in the cryptogame (and I’m doing it even if the french government tax any capital gain in crypto up to 60% !). I wanted to wait until I have fully understand what it is about and I’m still trying to learn things about it, but I have read so much blockchain enthusiasts saying that it’s in the way social life is organized since we stop being hunter-gatherer and began to live in large centralized and vertical community were the power is so much unequally distributed, that finally I just fell for it. And also (maybe it is the true untold reason, but not for long…), I want to be super rich without working too much (Don’t judge me — Well, I’m not sure that 1 000 euros will be enough though). the thing of a generation and even a new cycle So here it is : the blockchain ! Decentralized wide community, that create trust beyond verbal and written promises. A technology that promise to bind our words by the magic of computing (it’s probable that computing machine will be magic to me for the rest of my life). That sounds really great and exciting to me ! And I want to believe in it, and I want that computing make our communities, exchanges and life better. Technologies, social rules, laws and cultures define how wealth and power are distributed and organized. The question of the distribution of wealth and power is the central, the only question, that must govern our thoughts when we think about politic. Isn’t it ? And this time, technologie seems to be able to redefine how the whole system works. So I still have my noob, unanswered critics, questions, beliefs and remarks that I wan’t to share with the cryptocommunity :) ! Here they are : About blockchain in general : The big problem : the centralisation of computing ! (so, is it a problem ? Maybe you can tell me ?! :-) ) **What I think I have understood :**There is a mining process that guarantee the transactions, the decentralized system of computing and validation of the blocks partly guarantees the openness and security of the system, and the ones who are giving there computing power are rewarded by . coins If it works like this the main risk is the centralisation of the whole computing process, I see it happening for 2 reasons : 1. Because there is a scale advantage about doing it this way ! Like in the mining world of gold, in the beginning, everybody tried to mine it by him-herself, after a while giant companies emerged and optimized the process, and now the top 10 companies control one third of the production. For the blockchain it’s even more likely that the centralisation of the production will occure, because there are no geographical issue in the computing process. And it’s already happening, for the Bitcoin at least. If, say, an oligopole of blockchain minning companies appears, the system will be no more a decentralized one, and we can even imagine that the two or three main companies could easily manipulate the market or the ledger for their own profit.2. Aren’t we going to go to a world where most of the computing power will be concentrate in the hand of the GAFAM ? Especially with the 5G ! As I see it, if we get a powerful, worldwide (or at least countrywide) and reliable Mobile Internet System, we won’t need to keep the computing power on our devices, and a centralized computing system will be more efficient and cheaper to run. In this case the computing power will be centralized, just cause it costs less, and the same risk as in point 1 will emerge. Why is it a problem : Wouldn’t this 2 factors, or to sum it up the centralization of the computing power, jeopardize the future of any decentralized blockchain system, or is this not a problem at all in a blockchain world ? Or maybe you think that it’s a problem but that it won’t happen ? Teach me ! I’d like to know ! Question : A question about the smart contract : SmartContracts execute themselves and permit to avoid any third party that are normally needed to secure the transaction, it’s a bit like if the words of anyone become even more reliable as the ones of my most trusted friend ! sounds great :) ! What I think I have understood : When we make a smart contrat how is it executing itself automatically ? I didn’t understand it fully ! Cause, I mean, in a contract you have to get a human validation like : ‘hey I have well get the product !’ or : ‘the service has been delivered in the quality and quantity expected’. Doesn’t the contract still need the validation of a third party if people disagree, just like what Amazon, the banking or the judicial system are doing ? For exemple, if I buy a Bitcoin by myself how does the blockchain know that I have paid for it ? So, again, teach me ! Which part of the contrat is executing by itself, or by the blockchain process ? As you can see I’m missing something. But I don’t know what… Question : About Security : It’s so secured and well designed that its not even worthwhile to attack it ! What I think I have understood : The infrastructure around the blockchain, seems to be very unsecured ! Very good, you can’t forge the blockchain, but or . I don’t know for sure if Bitcoins is less secure than the USD system in proportion of the level of exchange and value, but it seems like it. But : you can steal the coin during the ICO you can steal it from the wallet Maybe the security and guarantee of the infrastructures of the companies around the blockchain aren’t yet at the level of the bank system ? But well, isn’t the blockchain created to precisely avoid the bank system ? Question : I think that the absence of central authority and identity recognition at a social level (in the Fiat world, we have for exemple the banking system and the judicial system) poses several problems to secure well the blockchains coins, cause for a cyberburglar this kind of value, anonymous and untraceable seems to be the perfect target. What is your opinion about this question ? Maybe the blockchain itself could be program to be better secured ? Or is this an invalid question ? About Bitcoin in particular : I see a lot of problems about bitcoins that might jeopardize the possibility of using it as a world currency : The concentration issue : , and the Bitcoin could hit the million dollars mark. Won’t we have a 1000 of Jeff Bezos if this currency hit the Million Dollars mark !? And Satochi will be 10 times richer than Bezos…Isn’t it a big inequality issue ? And also, just something that won’t happen because it’s seems unlikely (I know that it’s a very feeble argument… but it’s the one frome my guts : maybe my guts aren’t ready yet). If 40% of the market is owned by 1 000 people, it’s easy for them to manipulate the market and the prices if there is not an independent regulator. How could we prevent the main Bitcoin’s owner to manipulate the market (like doing a lot of transactions between there own wallets at a high price and selling some for real to cryptonoob like me) ? And won’t the risks of this concentration appeal for a new and less concentrated Bitcoinlike currency ? What I think I have understood : 40% of the bitcoins are owned by 1 000 people Remark : Question : The costs to operate the Bitcoin blockchain : The blockchain cost a lot to be operate. But Bitcoin can change to be more efficient to operate. Is such a change likely to happen ? About the cost in itself does it costs more to operate than the USD ? for example, USD needs : The Fed, Printed Money, Police, Army, ATM, banks, a judicial system… ? Is there a fair comparaison between the cost of Bitcoin and USD ? Or maybe again this question is irrelevant because we cannont compare the two ? What I think I have understood : Question : So here it is ! Here are (some of) my remarks and questions about the blockchain. I thank you very much in advance if any reader is willing to help me understand more about it. I’m aware that those questions and remarks might just be irrelevant and dumb from the point of view of a blockchain expert. I hope that she or he will explain to me (and my fellow cryptonoob) why and what is that I’m so wrong or not, or direct me to the right content that might help me to understand better all of this. Because I genuinely want to understand how blockchain works and what it could be. Kisses, Sybille

Questions and Remarks From A KryptoNoob Enthusiast !

This paper is available on arxiv under CC 4.0 license.
Authors:
(1) Sebastien Ferr ´e, Univ Rennes, CNRS, Inria, IRISA Campus de Beaulieu, 35042 Rennes, France and ferre@irisa.fr. Table of Links Abstract & Introduction Abstraction and Reasoning Corpus (ARC) Related Work Object-centric Models for ARC Grids MDL-based Model Learning Evaluation Conclusion and Perspectives, References & Supplementary Materials 7 Conclusion and Perspectives We have presented a novel and general approach to efficiently learn skills at tasks that consist in generating structured outputs as a function of structured inputs. Following Chollet’s measure of intelligence, efficiently learning here means limited knowledge prior for the target scope of tasks, only a few examples per task, and low computational resources. Our approach is based on descriptive task models that combine object-centric patterns and computations, and on the MDL principle for guiding the search for models. We have detailed an application to ARC tasks on colored grids, and sketched an application to FlashFill tasks on strings. We have shown promising results, especially in terms of efficiency, model complexity, and model naturalness. Going further on ARC will require a substantial design effort as our current models cover so far a small subset of the knowledge priors that are required by ARC tasks (e.g., goal-directedness). For FlashFill tasks, the addition of a counterpart for loops and common functions is expected to suffice to match the state-of-the-art. References 1. Acquaviva, S., Pu, Y., Kryven, M., Sechopoulos, T., Wong, C., Ecanow, G., Nye, M., Tessler, M., Tenenbaum, J.: Communicating natural programs to humans and machines. Advances in Neural Information Processing Systems 35, 3731–3743 (2022) 2. Ainooson, J., Sanyal, D., Michelson, J.P., Yang, Y., Kunda, M.: An approach for solving tasks on the abstract reasoning corpus. arXiv preprint arXiv:2302.09425 (2023) 3. Alford, S., Gandhi, A., Rangamani, A., Banburski, A., Wang, T., Dandekar, S., Chin, J., Poggio, T.A., Chin, S.P.: Neural-guided, bidirectional program search for abstraction and reasoning. CoRR abs/2110.11536 (2021), https://arxiv.org/abs/2110.11536 4. Chollet, F.: On the measure of intelligence. arXiv preprint arXiv:1911.01547 (2019) 5. Chollet, F.: A definition of intelligence for the real world. Journal of Artificial General Intelligence 11(2), 27–30 (2020) 6. Devlin, J., Chang, M., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Conf. North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT. pp. 4171– 4186. Assoc. Computational Linguistics (2019). https://doi.org/10.18653/v1/n19-1423 7. Elias, P.: Universal codeword sets and representations of the integers. IEEE Trans. Information Theory 21(2), 194–203 (1975) 8. Ellis, K., et al.: Dreamcoder: Bootstrapping inductive program synthesis with wake-sleep library learning. In: ACM Int. Conf. Programming Language Design and Implementation. pp. 835–850 (2021) 9. Faas, M., Leeuwen, M.v.: Vouw: geometric pattern mining using the MDL principle. In: Int. Symp. Intelligent Data Analysis. pp. 158–170. Springer (2020) 10. Fischer, R., Jakobs, M., Mucke, S., Morik, K.: Solving Abstract Reasoning Tasks with Gram- ¨ matical Evolution. In: LWDA. pp. 6–10. CEUR-WS 2738 (2020) 11. Goertzel, B.: Artificial general intelligence: concept, state of the art, and future prospects. Journal of Artificial General Intelligence 5(1), 1 (2014) 12. Grunwald, P., Roos, T.: Minimum description length revisited. International journal of math- ¨ ematics for industry 11(01) (2019) 13. Gulwani, S.: Automating string processing in spreadsheets using input-output examples. In: Symp. Principles of Programming Languages. pp. 317–330. ACM (2011) 14. Johnson, A., Vong, W.K., Lake, B., Gureckis, T.: Fast and flexible: Human program induction in abstract reasoning tasks. arXiv preprint arXiv:2103.05823 (2021) 15. Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. Advances in neural information processing systems 25, 1097–1105 (2012) 16. Lake, B.M., Salakhutdinov, R., Tenenbaum, J.B.: Human-level concept learning through probabilistic program induction. Science 350(6266), 1332–1338 (2015) 17. Lieberman, H.: Your Wish is My Command. The Morgan Kaufmann series in interactive technologies, Morgan Kaufmann / Elsevier (2001). https://doi.org/10.1016/b978-1-55860- 688-3.x5000-3 18. Menon, A., Tamuz, O., Gulwani, S., Lampson, B., Kalai, A.: A machine learning framework for programming by example. In: Int. Conf. Machine Learning. pp. 187–195. PMLR (2013) 19. Muggleton, S., Raedt, L.D.: Inductive logic programming: Theory and methods. Journal of Logic Programming 19,20, 629–679 (1994) 20. Rissanen, J.: Modeling by shortest data description. Automatica 14(5), 465–471 (1978) 21. Silver, D., Huang, A., Maddison, C.J., Guez, A., Sifre, L., Van Den Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V., Lanctot, M., et al.: Mastering the game of Go with deep neural networks and tree search. Nature 529(7587), 484–489 (2016) 22. Vreeken, J., Van Leeuwen, M., Siebes, A.: Krimp: mining itemsets that compress. Data Mining and Knowledge Discovery 23(1), 169–214 (2011) 23. Xu, Y., Khalil, E.B., Sanner, S.: Graphs, constraints, and search for the abstraction and reasoning corpus. arXiv preprint arXiv:2210.09880 (2022) Supplementary Materials We here describe the contents of the supplementary file accompanying the paper. A public repository of the source code is also available at https://github.com/sebferre/ ARC-MDL for ARC and at https://github.com/sebferre/ARC-MDL-strings for FlashFill. There are two main directories: one for ARC tasks and another for FlashFill tasks. Task Sets The public task sets of ARC are available online at https://github.com/fchollet/ARC. There are two task sets: training tasks and evaluation tasks, each containing 400 tasks. The task set of FlashFill is made of the 14 examples in [13]. We provide them as JSON files in FlashFill/taskset/, using the same format as ARC tasks, except that strings and arrays of strings are used instead of colored grids. For convenience, we also provide the file FlashFill/taskset/all examples.json to allow for browsing all examples in one file. Results We provide the learning and prediction logs for each task set: – ARC/training tasks.log – ARC/evaluation tasks.log – FlashFill/tasks.log Each log file starts with the hyperparameter values, and ends with global statistical measures. For each task, it gives: – the detailed DL (description length) of the initial model; – the learning trace (including the pruning phase) as a sequence of refinements, and showing the decrease of the normalized DL; – the learned models before and after pruning and their detailed DL; – the best joint description for each training example, except for ARC evaluation tasks so as not to leak their contents to the AI developer (a recommendation made by F. Chollet); – the prediction for each training and test example; – and finally a few measures for the task. The measures given for each task and at the end are the following: – runtime-learning: learning time in seconds (including the pruning phase); – bits-train-error: the remaining error commited on output training grids, in bits; – acc-train-micro: the proportion of training output grids that are correctly predicted; – acc-train-macro: 1 if all training output grids are correctly predicted, 0 otherwise; – acc-train-mrr: Mean Reciprocal Rank (MRR) of correct predictions for training output grids, 1 if all first predictions are correct; – acc-test-micro: the proportion of test output grids that are correctly predicted; – acc-test-macro: 1 if all test output grids are correctly predicted, 0 otherwise; – acc-test-mrr: Mean Reciprocal Rank (MRR) of correct predictions for test output grids, 1 if all first predictions are correct. The reference measure in ARC is acc-test-macro. The micro measures provide a more fine-grained and more optimistic measure of success. For convenience, we also provide in ARC/solved tasks a picture for each of the 96 training ARC tasks that are solved by our approach. We kindly invite the reader to browse them to get a quick idea of the diversity of the tasks that our approach can solve. The pictures are screenshots from the UI provided along with ARC tasks. This paper is available on Arxiv under CC 4.0 license. This paper is available on arxiv under CC 4.0 license. Authors: (1) Sebastien Ferr ´e, Univ Rennes, CNRS, Inria, IRISA Campus de Beaulieu, 35042 Rennes, France and ferre@irisa.fr. This paper is available on arxiv under CC 4.0 license. Authors: Authors: (1) Sebastien Ferr ´e, Univ Rennes, CNRS, Inria, IRISA Campus de Beaulieu, 35042 Rennes, France and ferre@irisa.fr. Table of Links Abstract & Introduction Abstract & Introduction Abstraction and Reasoning Corpus (ARC) Abstraction and Reasoning Corpus (ARC) Related Work Related Work Object-centric Models for ARC Grids Object-centric Models for ARC Grids MDL-based Model Learning MDL-based Model Learning Evaluation Evaluation Conclusion and Perspectives, References & Supplementary Materials Conclusion and Perspectives, References & Supplementary Materials 7 Conclusion and Perspectives We have presented a novel and general approach to efficiently learn skills at tasks that consist in generating structured outputs as a function of structured inputs. Following Chollet’s measure of intelligence, efficiently learning here means limited knowledge prior for the target scope of tasks, only a few examples per task, and low computational resources. Our approach is based on descriptive task models that combine object-centric patterns and computations, and on the MDL principle for guiding the search for models. We have detailed an application to ARC tasks on colored grids, and sketched an application to FlashFill tasks on strings. We have shown promising results, especially in terms of efficiency, model complexity, and model naturalness. Going further on ARC will require a substantial design effort as our current models cover so far a small subset of the knowledge priors that are required by ARC tasks (e.g., goal-directedness). For FlashFill tasks, the addition of a counterpart for loops and common functions is expected to suffice to match the state-of-the-art. References 1. Acquaviva, S., Pu, Y., Kryven, M., Sechopoulos, T., Wong, C., Ecanow, G., Nye, M., Tessler, M., Tenenbaum, J.: Communicating natural programs to humans and machines. Advances in Neural Information Processing Systems 35, 3731–3743 (2022) 2. Ainooson, J., Sanyal, D., Michelson, J.P., Yang, Y., Kunda, M.: An approach for solving tasks on the abstract reasoning corpus. arXiv preprint arXiv:2302.09425 (2023) 3. Alford, S., Gandhi, A., Rangamani, A., Banburski, A., Wang, T., Dandekar, S., Chin, J., Poggio, T.A., Chin, S.P.: Neural-guided, bidirectional program search for abstraction and reasoning. CoRR abs/2110.11536 (2021), https://arxiv.org/abs/2110.11536 4. Chollet, F.: On the measure of intelligence. arXiv preprint arXiv:1911.01547 (2019) 5. Chollet, F.: A definition of intelligence for the real world. Journal of Artificial General Intelligence 11(2), 27–30 (2020) 6. Devlin, J., Chang, M., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Conf. North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT. pp. 4171– 4186. Assoc. Computational Linguistics (2019). https://doi.org/10.18653/v1/n19-1423 7. Elias, P.: Universal codeword sets and representations of the integers. IEEE Trans. Information Theory 21(2), 194–203 (1975) 8. Ellis, K., et al.: Dreamcoder: Bootstrapping inductive program synthesis with wake-sleep library learning. In: ACM Int. Conf. Programming Language Design and Implementation. pp. 835–850 (2021) 9. Faas, M., Leeuwen, M.v.: Vouw: geometric pattern mining using the MDL principle. In: Int. Symp. Intelligent Data Analysis. pp. 158–170. Springer (2020) 10. Fischer, R., Jakobs, M., Mucke, S., Morik, K.: Solving Abstract Reasoning Tasks with Gram- ¨ matical Evolution. In: LWDA. pp. 6–10. CEUR-WS 2738 (2020) 11. Goertzel, B.: Artificial general intelligence: concept, state of the art, and future prospects. Journal of Artificial General Intelligence 5(1), 1 (2014) 12. Grunwald, P., Roos, T.: Minimum description length revisited. International journal of math- ¨ ematics for industry 11(01) (2019) 13. Gulwani, S.: Automating string processing in spreadsheets using input-output examples. In: Symp. Principles of Programming Languages. pp. 317–330. ACM (2011) 14. Johnson, A., Vong, W.K., Lake, B., Gureckis, T.: Fast and flexible: Human program induction in abstract reasoning tasks. arXiv preprint arXiv:2103.05823 (2021) 15. Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. Advances in neural information processing systems 25, 1097–1105 (2012) 16. Lake, B.M., Salakhutdinov, R., Tenenbaum, J.B.: Human-level concept learning through probabilistic program induction. Science 350(6266), 1332–1338 (2015) 17. Lieberman, H.: Your Wish is My Command. The Morgan Kaufmann series in interactive technologies, Morgan Kaufmann / Elsevier (2001). https://doi.org/10.1016/b978-1-55860- 688-3.x5000-3 18. Menon, A., Tamuz, O., Gulwani, S., Lampson, B., Kalai, A.: A machine learning framework for programming by example. In: Int. Conf. Machine Learning. pp. 187–195. PMLR (2013) 19. Muggleton, S., Raedt, L.D.: Inductive logic programming: Theory and methods. Journal of Logic Programming 19,20, 629–679 (1994) 20. Rissanen, J.: Modeling by shortest data description. Automatica 14(5), 465–471 (1978) 21. Silver, D., Huang, A., Maddison, C.J., Guez, A., Sifre, L., Van Den Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V., Lanctot, M., et al.: Mastering the game of Go with deep neural networks and tree search. Nature 529(7587), 484–489 (2016) 22. Vreeken, J., Van Leeuwen, M., Siebes, A.: Krimp: mining itemsets that compress. Data Mining and Knowledge Discovery 23(1), 169–214 (2011) 23. Xu, Y., Khalil, E.B., Sanner, S.: Graphs, constraints, and search for the abstraction and reasoning corpus. arXiv preprint arXiv:2210.09880 (2022) Supplementary Materials We here describe the contents of the supplementary file accompanying the paper. A public repository of the source code is also available at https://github.com/sebferre/ ARC-MDL for ARC and at https://github.com/sebferre/ARC-MDL-strings for FlashFill. There are two main directories: one for ARC tasks and another for FlashFill tasks. Task Sets The public task sets of ARC are available online at https://github.com/fchollet/ARC. There are two task sets: training tasks and evaluation tasks, each containing 400 tasks. The task set of FlashFill is made of the 14 examples in [13]. We provide them as JSON files in FlashFill/taskset/, using the same format as ARC tasks, except that strings and arrays of strings are used instead of colored grids. For convenience, we also provide the file FlashFill/taskset/all examples.json to allow for browsing all examples in one file. Results We provide the learning and prediction logs for each task set: – ARC/training tasks.log – ARC/evaluation tasks.log – FlashFill/tasks.log Each log file starts with the hyperparameter values, and ends with global statistical measures. For each task, it gives: – the detailed DL (description length) of the initial model; – the learning trace (including the pruning phase) as a sequence of refinements, and showing the decrease of the normalized DL; – the learned models before and after pruning and their detailed DL; – the best joint description for each training example, except for ARC evaluation tasks so as not to leak their contents to the AI developer (a recommendation made by F. Chollet); – the prediction for each training and test example; – and finally a few measures for the task. The measures given for each task and at the end are the following: – runtime-learning: learning time in seconds (including the pruning phase); – bits-train-error: the remaining error commited on output training grids, in bits; – acc-train-micro: the proportion of training output grids that are correctly predicted; – acc-train-macro: 1 if all training output grids are correctly predicted, 0 otherwise; – acc-train-mrr: Mean Reciprocal Rank (MRR) of correct predictions for training output grids, 1 if all first predictions are correct; – acc-test-micro: the proportion of test output grids that are correctly predicted; – acc-test-macro: 1 if all test output grids are correctly predicted, 0 otherwise; – acc-test-mrr: Mean Reciprocal Rank (MRR) of correct predictions for test output grids, 1 if all first predictions are correct. The reference measure in ARC is acc-test-macro. The micro measures provide a more fine-grained and more optimistic measure of success. For convenience, we also provide in ARC/solved tasks a picture for each of the 96 training ARC tasks that are solved by our approach. We kindly invite the reader to browse them to get a quick idea of the diversity of the tasks that our approach can solve. The pictures are screenshots from the UI provided along with ARC tasks. This paper is available on Arxiv under CC 4.0 license. Arxiv

Conclusion and Perspectives, References & Supplementary Materials: Our Journey With ARC

Forget kryptonite. If “hard skills” are Superman's strength, think of “soft skills” as the key that unlocks his true potential. In a world obsessed with technical expertise, those who master empathy, communication, and adaptability hold the real power – and employers know it. Think about it: sure, robots might code faster. AI might write snappy marketing copy. But can they negotiate a tense deal, inspire a dispirited team, or pivot seamlessly when a project goes sideways? Not a chance. The Skills That Can't Be Outsourced Soft skills are your superpower because they're essentially human. They hinge on connection, understanding, and navigating the complexities of human behavior. You can't automate genuine empathy. There's no algorithm for building trust. Too often, we treat soft skills like a fluffy bonus, the nice-to-haves on a resume. But in a rapidly changing job market, they're the non-negotiables. The difference between simply getting the job and truly excelling in it. Let's unpack some superpowers and the scenarios where they shine: The ability to step into someone else's shoes – be it a frustrated client, a struggling coworker, or a nervous interviewee – is pure gold. It's how you disarm disputes, build bridges, and design products that truly address people's needs. Empathy is a spectrum, and the more you practice it, the more natural it becomes. Empathy – Your Secret Weapon: Clear, concise, tailored communication isn't merely about avoiding misunderstandings. It's about persuasion, inspiration, and leaving people feeling heard and understood. Your communication skills are how you get buy-in, manage expectations, and rally your team toward a shared goal. Communication – The Crystal Ball: The only constant in the current marketplace is change. The adaptable are the survivors. This means being comfortable with ambiguity, learning on the fly, and course-correcting without breaking a sweat. Think of it as mental gymnastics, keeping you agile when the ground shifts beneath your feet. Adaptability – The Chameleon: Some soft skills act as the foundation for many others. Self-awareness is the ultimate keystone skill. Understand your own reactions and responses, and those tough conversations or unexpected changes get much easier to handle. Keystone Skills: Unlike technical skills that can become outdated, soft skills get with use. Each time you navigate a conflict, your adaptability grows. Every act of empathy makes you more attuned to others. Renewable Resources: stronger How to Flex Your Superpower (Soft Skills) Unlike capes and laser vision, developing soft skills takes practice and intention. Here's how to get started: Turn the Lens Inward: Self-awareness is the bedrock. Think about the last time you gave a presentation. Were you focused on truly connecting with your audience, or did you race through your slides to get it over with? Did you notice people checking their phones, or did you leave feeling like you'd made an impact?  Honest self-assessment is the first step to pinpointing areas where your communication style could use a boost.  Do you stay cool when a deadline gets changed at the last minute, or does it send you into a tailspin? Recognizing your stress triggers empowers you to develop coping mechanisms that boost your resilience. Seek Out Challenges: Soft skills are forged in the fire. If the idea of speaking up in meetings makes you break out in a cold sweat, start small.  Force yourself to contribute one thoughtful comment or question each time.  Feel the fear and do it anyway!  That long-overdue conversation with your boss about a raise? Schedule it, and treat the preparation as seriously as you would any task. Role-play with a friend to practice.  The more you confront those daunting situations, the easier they become, and the stronger your sense of agency grows. Find Your Super Squad: Mentors, colleagues, and friends who exhibit strong soft skills are your kryptonite – in a good way. Observe the office diplomat – the one everyone goes to for advice when tensions are high. How do they de-escalate situations?  What kind of language do they use to build rapport?  Notice not just their words, but their body language and tone of voice.  Have a friend who always seems to land great opportunities? Ask them for honest feedback about your resume and interview style – they might see areas for improvement that you've missed. Now, we've covered the basics. You get that soft skills matter, that they open those doors marked "opportunity" and "career success." But, we're a discerning bunch, aren't we? Let's break down the "why" behind the "what," and ditch the clichés for some deeper truths. Mythbusting: Soft Skills Aren't "Soft" at all Let's be real, the term "soft skills" is a disservice. These abilities are anything but squishy or optional. They demand focus, mental toughness, and a willingness to engage the messiest parts of ourselves. Let's rebrand them as  "human-centric skills" or "essential skills". It's about honoring the complexity they represent. Here’s taking each mandatory “soft skill” to a deeper level. The Dark Side of Empathy: A Cautionary Tale Empathy, our secret weapon, has a shadow side. Unchecked, it can lead to burnout and clouded judgment. Yes, connect with others, but remember to center yourself.  True empathy means understanding your limits as much as another person's needs. Self-care isn't selfish; it's a sustainability plan for your most valuable tool. Communication Isn't Just Words: Your Body Speaks Volumes Mastering communication transcends eloquent speeches and snazzily written emails.  Notice your posture, tone of voice, and the energy you bring to a room. This non-verbal language often conveys more than the words themselves. Awareness of how you strengthens every interaction. present Adaptability as a Mindset: Embrace the Unknown Adaptability isn't mere flexibility; it's embracing a "figure-it-out" philosophy. It's approaching the unexpected not as a threat, but as an adventure. This means cultivating curiosity, asking bold questions, and being comfortable saying, "I don't know...yet." The Power of Vulnerability: Taking off the Armor We prize strength, but what about audacious vulnerability?  Owning our mistakes, asking for help, and admitting when we're out of our depth fosters a different kind of strength – one that builds trust and creates space for true collaboration. Vulnerability makes you magnetic. Cultivating Your Soft Skills, the Unsexy Way Let's ditch those 5-minute online courses promising to turn you into a communication guru. Cultivating real human-centric skills takes work, and it often looks more mundane than glamorous: Before reacting in meetings, take a single, intentional breath. It centers you and can prevent impulsive responses. The Mindful Minute: Regularly ask trusted colleagues for candid feedback, specifically around your soft-skill blind spots. The Awkward Feedback: Write about those cringe-worthy interactions. Analyzing where you stumbled builds self-awareness for next time. The Journal of Discomfort: The ROI of Introspection Don't underestimate the power of deliberate self-examination.  Schedule "thinking time" alongside work tasks. Reflect on your leadership style, communication patterns, and emotional triggers. This investment gives you a competitive advantage – the X-factor of knowing . yourself The Future of Leadership Companies can train hard skills, but they can't instill empathy, genuine charisma, or the ability to inspire. As you hone these abilities, you're not just developing yourself; you're shaping the kind of leader you want to be – the kind a team will truly follow. A Final Challenge Don't wait for someone to teach you soft skills. Carve your own path. Observe the masters, engage in difficult conversations honestly, and take the risks that grow you as a human, not just a worker.  It's the most fulfilling, powerful career journey you can take. A Word to the Tech-Obsessed If you're the type who lives and breathes code, data, or design, this isn't a knock against your talent. But those incredible technical abilities reach their full potential only when paired with the X-factor of soft skills. It's what elevates you from "competent" to "indispensable." Imagine a world where every tech whiz is a master communicator, or every analyst has a deep well of empathy. It's the future of work – human connection fueled by technical brilliance. So, the next time you think about leveling up, don't just load up on coding bootcamps. Seek out workshops on conflict resolution, take an improv class, volunteer for a cause you care about. These are the investments that pay lifelong dividends. Because while the world changes around us, the demand for human connection remains a constant. That's your superpower, and it's time to unleash it. Scott

Soft Skills: The X-Factor That Opens Every Door

**SANTA MONICA, CA, April 4th, 2024/Chainwire/--**Raiinmaker, a Web3 and AI Technology Company, is announcing the closing of a $7.5M seed round ahead of its Mainnet launch and native token $Coiin TGE. Notable investors in this funding round: Jump Crypto and Cypher Capital along with GDA Capital, Gate.io Labs, London Real Ventures, MEXC Global, Krypital Group, Alphabit, Launchpool, New Tribe Capital, Coach K, Axia 8 Ventures, Sheesha Finance, Andromeda Capital, Arcanum Capital, Bella Capital and Alpha Sigma Capital. The Raiinmaker Network boasts innovative features including a scalable and modular blockchain architecture, decentralized AI tools, and AI powered smart contracts. The company’s core focus lies in the scalable implementation of Decentralized AI and Web3 infrastructure to power Mass Adoption solutions in Sports, Gaming and Entertainment. Raiinmaker Super App users train AI right from their iOS or Android phones and earn fractional rewards based on the value of their contributions to decentralized AI models and infrastructure. Now everyone has the ability to train AI models and run a DePIN enabled validator node using just their smartphone from anywhere in the world. On the application, users are training the same stable diffusion models the community is using to generate AI art through fine tuning and data labeling. “The transformative power of AI and Web3 technology has the potential to empower the human race to an unprecedented degree and we are excited to be at the forefront of the decentralized AI Technology Revolution,” said J.D. Seraphine, Founder and CEO of Raiinmaker. Raiinmaker’s investor cap table includes other notable companies such as DCI Capital, Seed Thrift Ventures, Titans Ventures, WeeHodl, Kopman Capital, 7 O'Clock Capital Fund, Spicy Capital, NxGen.xyz, Absoluta Digital, Candaq, Mainchain Ventures, Panda Capital, Stealth Capital, Taisu, K300, Tulpar Capital, Acacia Digital, Simurg Labs, Gemhead, Alpha Capital, Green Arrow Ventures, Basics Capital, Legion Ventures, Coinvestor Ventures, Simplicity Blockchain, Aza Ventures, Transform Capital, Khan's DeFi Kitchen, HC Capital, Crypto Roundtable, Gemhead Capital, and Metazero Capital. With 70,000+ app downloads, over 150,000 nodes, 18 million transactions processed and an engaged community of over 200,000 worldwide, Raiinmaker empowers people all over the planet to contribute to decentralized AI infrastructure while earning crypto, no special technical knowledge required. About Raiinmaker Raiinmaker is an innovative Web3 and AI technology company that has successfully developed the Raiinmaker Mobile Application and Raiinmaker Network. The Raiinmaker App is a cutting-edge Web3 and decentralized AI platform that revolutionizes the monetization of users’ contribution to AI infrastructure. The Raiinmaker Network combines scalable Web3 and AI infrastructure that redefines value creation tied to digital identity, behavior, and reputation. The Raiinmaker AI Super App is powered by the Raiinmaker Network, providing seamless integration with native Protocol Web3 features. These features include Identity, NFT Minting, Token Creation, and AI Powered Smart Contracts. | | | Website x Telegram Discord Contact Head of Marketing Kris Seraphine kris@raiinmaker.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here.

Raiinmaker Closes $7.5M Funding To Advance Decentralized AI

**TALLINN, Estonia, March 26th, 2024/Chainwire/--**This first MarketingFi utility token will launch within the Cookie3 ecosystem. $COOKIE represents digital marketing value passed on to users who drive projects forward instead of on advertising giants like Google or Facebook. , has just announced that $COOKIE—the Cookie DAO-powered token, will launch on and in Q2 2024. Cookie3, a MarketingFi Protocol and AI Data Layer ChainGPT Pad Polkastarter Using the Cookie3 technological stack, $COOKIE aims to move from advertising giants onto users who bring quality to projects and help them grow. The project is backed by industry’s top names, including Spartan Group (Lead Investor), GSR, Big Brain Holdings, CMT Digital, Hartmann Capital, Jsquare, Orange DAO, and two top launchpads — Polkastarter and ChainGPT, second of which is also the project’s accelerator. $366B digital marketing value “Cookie3 and its ecosystem token $COOKIE are something the market has not seen yet but has needed for long. This revolutionary approach, which combines AI, DeFi, and marketing with Cookie3’s amazing data processing technology, gives $COOKIE an amazing utility within the Web3 and Web2 digital marketing economy,” said Ilan Rakhmanov, the CEO and Founder of ChainGPT, $COOKIE launchpad, and Cookie3 accelerator. “We were lucky to find this project and be closely involved in Cookie3’s development. We see Cookie3 use cases across all corners of Web3 and its entire user base—from degens through KOLs and businesses. Cookie3 finds ways to unlock marketing value and put it exactly where it needs to be, using $COOKIE as a medium. We are honored to support Cookie3's journey and awaiting to see $COOKIE in action within the Cookie3 multi-platform ecosystem.” “We are delighted that $COOKIE will launch on Polkastarter. We have been following Cookie3 for the past two years and are excited that $COOKIE will find its home and multiple utilities across Cookie3 platforms,” said João Leite, the Managing Partner of Polkastarter, $COOKIE launchpad. “Today is the day when MarketingFi has become an even stronger term. I look forward to seeing the Cookie3 vision unfold even further with $COOKIE as the medium and carrier of MarketingFi value.” Unlocking $366B Value With MarketingFi Protocol And AI Data Layer Cookie3 is able to push marketing value into its ecosystem and users with the $COOKIE token thanks to its unique technological stack based on propriety off- and on-chain analytics engine and an AI Data Layer. This value exchange is possible due to the unique synergies between the Cookie DAO community with its $COOKIE token impacting the Cookie3 multiplaform ecosystem. The Cookie3 tech enables understanding the user journey from off-chain activities to on-chain conversions and further activity. This way, Cookie3 can determine which users bring value to projects and should be rewarded. At the same time, having used AI to analyze over 15 unique behavioral characteristics, Cookie3 can distinguish between quality users, bots, or Sybil attackers to ensure that rewards go to truly engaged audiences rather than malicious actors trying to take advantage of the Web3 economy. This technology is prevalent across the Cookie3 three-platform ecosystem, where analytics and AI are integrated to: Help marketers understand their users better, tailor marketing campaigns, and ensure their marketing budgets are passed on to quality users through . Cookie3 Analytics Reward creators with airdrops, allocations, and tokens for bringing quality audiences to projects through the . Cookie3 Affiliate Allow individual users to explore their MarketingFi score based on their off- and on-chain activity. Users can market themselves to projects worth investing in with rewards such as airdrops, exclusive campaigns, or tailored offerings through Cookie3 Score (the platform is set to launch in Q3 2024). In short, Cookie3 helps businesses find ways to connect with valuable audiences while, at the same time, helping users to market themselves as worth rewarding for further ecosystem growth. Cookie3 technology has already been trusted by top names in the industry, such as Kyber Swap, Mantle, Polkastarter, Linea, GameSwift, eesee, Insomnia Labs, and over 170 more, who integrated into Cookie3 MarketingFi Protocol. “Our team has been building the Cookie3 technology for over two years, and our current business traction proves that we are the industry’s most advanced user analytics platform. We have over 600M unique wallets and 9B transactions processed on 16 chains, with over 170 businesses integrated into our proprietary data infrastructure,” said Filip Wielanier, the CEO and Co-Founder of Cookie3. “Today marks a historic breakthrough in the Cookie3 history. The solutions we’ve been developing find utility across three different platforms, designed not only for analytics but also for user acquisition and engagement. We believe that MarketingFi can and will change the value distribution game. We are excited to contribute to this ecosystem with the Cookie3 multiplatform ecosystem, fueled by the $COOKIE token—the future carrier of the MarketingFi value.” $COOKIE Utility: One Token, Many Platforms The $COOKIE token will find utility in all parts and corners of the Cookie3 ecosystem—Cookie3 Analytics, Cookie3 Affiliate, and Cookie3 Score—generating rewards for its holders and stakers. Moreover, it will grant governance rights within the Cookie DAO with voting rights on matters relating to its treasury, comprising 8% of the $COOKIE supply. The Cookie3 core team also shared that $COOKIE token holders will often get to decide the future of Cookie3 products, platforms, and the token’s role within the ecosystem, alongside benefiting from exclusive access to token-gated features. The Cookie3 team has also teased a gamified $COOKIE Airdrop, with more information to be released soon on the platform, which will launch on March 28th. Cookie Community About Cookie3 Cookie3 pioneers MarketingFi with an AI Data Layer— a transparent marketing economy unlocking value for Web3 users, creators, and businesses, with over 170 dapps such as Kyber Swap, Mantle, Polkastarter, Linea, GameSwift, eesee, and Insomnia Labs already using Cookie3 technology. To realize its mission, Cookie3 is building a set of MarketingFi platforms and Web3 AI marketing solutions that connect projects with the right audiences, creating profitable opportunities for both. Cookie3 uses off- and on-chain analytics alongside a Web3 AI data layer to ensure only valuable user and project interactions benefit from the MarketingFi ecosystem. In an economy where lines between business owners, investors, and consumers are blurred, effective marketing becomes collaborative, and value flows freely between all stakeholders. Backed by top institutional investors such as Spartan Group (Lead Investor), GSR, Big Brain Holdings, CMT Digital, Hartmann Capital, Jsquare, Orange DAO, Polkastarter, and Chain GPT, Cookie3 fills the gap where Web2 marketing comes short. Users can learn more at cookie3.com About Cookie DAO The Cookie DAO is a collective of MarketingFi enthusiasts aiming to bolster decentralization through innovative blockchain solutions. It created the $COOKIE token and injected it into the Cookie3 ecosystem to drive the MarketingFi ethos forward through governance and tokenized support. Anyone can become a member of the Cookie DAO. The sole requirement is to believe in MarketingFi and want to drive the MarketingFi economy forward. Cookie DAO members are encouraged to hold and stake $COOKIE for access to additional rewards and voting rights on matters relating to the Cookie DAO’s treasury and future. Users can learn more at cookie.community About ChainGPT ChainGPT is an advanced AI infrastructure dedicated to developing AI-powered technologies for the Web3, Blockchain, and Crypto space. Our mission is to improve the Web3 space for retail users & startups by developing AI-powered solutions. Users can learn more at chaingpt.org About Polkastarter Polkastarter is the leading early-stage fundraising protocol enabling web3’s most innovative projects to kick-start their journey and grow their communities. Polkastarter allows its users to make research-based decisions to participate in high-potential public sales. Users can learn more at polkastarter.com Contact Chief Marketing Officer Krystyna Kozak-Kornacka Cookie3 krystyna@cookie3.co This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here.

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