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      "body": "noise.app is a social media platform powered by Bitcoin Cash. To use this Noise app, you must be invited by someone. You cannot register on the platform without an invitation.This is a social blockchain project that allows you to earn money from publications and interaction with other participants. People can donate, and everything you earn goes directly to the BCH BTC ETH wallet that you added in your settings. There is an invite to noise.app in our channel:\nhttps://t.me/forumsatoshi\n\n![Скриншот 08-01-2024 140258.jpg](https://cdn.steemitimages.com/DQmc9wYooWpMD9UQtdJuw2F6SfiUh1DzSt5Z69AtHJochsT/%D0%A1%D0%BA%D1%80%D0%B8%D0%BD%D1%88%D0%BE%D1%82%2008-01-2024%20140258.jpg)",
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      "body": "The project will distribute the drop and list the token by January 27.\n\nAbout the project:\n\nThere is an opportunity to fund tokens, points and $ for activity — the team has launched quests, for the passage of which $ 50,000 will be distributed in USDC and 50,000 in DEFI tokens at listing. What are we doing:We register on the website using the link https://de.fi/claim/?invite=DEFI-139c93d3 (ref.) We verify our social networks and email in the settings, Farm points daily by clicking the “Claim My Reward” button in the dashboard, Go through daily quests here https://de.fi/quest To do this, click “Join now” and wait for the drop to be distributed.\n\nMore information about the crypto in the Forumsatoshi telegram channel:\nhttps://t.me/forumsatoshi \n![32323.png](https://cdn.steemitimages.com/DQmSX91Z3MCUkGsCuTBziSajXT66vvxoXoUox6sHAZu2i2x/32323.png)",
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      "body": "Congratulations @inkybator! You received a personal award!\n\n<table><tr><td>https://steemitimages.com/70x70/http://steemitboard.com/@inkybator/birthday3.png</td><td>Happy Birthday! - You are on the Steem blockchain for 3 years!</td></tr></table>\n\n<sub>_You can view [your badges on your Steem Board](https://steemitboard.com/@inkybator) and compare to others on the [Steem Ranking](https://steemitboard.com/ranking/index.php?name=inkybator)_</sub>\n\n\n###### [Vote for @Steemitboard as a witness](https://v2.steemconnect.com/sign/account-witness-vote?witness=steemitboard&approve=1) to get one more award and increased upvotes!",
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      "body": "Congratulations @inkybator! You received a personal award!\n\n<table><tr><td>https://steemitimages.com/70x70/http://steemitboard.com/@inkybator/birthday2.png</td><td>2 Years on Steemit</td></tr></table>\n\n<sub>_[Click here to view your Board](https://steemitboard.com/@inkybator)_</sub>\n\n\n**Do not miss the last post from @steemitboard:**\n<table><tr><td><a href=\"https://steemit.com/christmas/@steemitboard/christmas-challenge-send-a-gift-to-to-your-friends-the-party-continues\"><img src=\"https://steemitimages.com/64x128/http://i.cubeupload.com/kf4SJb.png\"></a></td><td><a href=\"https://steemit.com/christmas/@steemitboard/christmas-challenge-send-a-gift-to-to-your-friends-the-party-continues\">Christmas Challenge - The party continues</a></td></tr><tr><td><a href=\"https://steemit.com/christmas/@steemitboard/christmas-challenge-send-a-gift-to-to-your-friends\"><img src=\"https://steemitimages.com/64x128/http://i.cubeupload.com/kf4SJb.png\"></a></td><td><a href=\"https://steemit.com/christmas/@steemitboard/christmas-challenge-send-a-gift-to-to-your-friends\">Christmas Challenge - Send a gift to to your friends</a></td></tr></table>\n\n> Support [SteemitBoard's project](https://steemit.com/@steemitboard)! **[Vote for its witness](https://v2.steemconnect.com/sign/account-witness-vote?witness=steemitboard&approve=1)** and **get one more award**!",
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      "body": "To keep you updated with this rightmesh already completed their goal and soon it will be listed on many exchanges. Their idea reach many of us that's why this project should have a good review like this. Sooner or later this project will bloom like the many projects that ICO produced.",
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      "permlink": "rightmesh-project-of-decentralized-mesh-network-based-on-smartphones-and-iot-devices-with-motivation-of-users-with-tokens-on",
      "title": "RightMesh: project of decentralized mesh network based on smartphones and IoT devices with motivation of users with tokens on Ethereum blockchain",
      "body": "In my home-not-cryptocurrency post on the vicissitudes of the bitcoin in the TV series \"the Big Bang Theory\" @romkos advised to see another Silicon valley. I am not going to comment on the entire series, but I want to draw attention to the last season in which the characters are cool programmers - forming a distributed cloud-based system running on a smartphone.\n\nThis idea is almost one to one in existence in draft form RightMesh, a review of which I offer:\n![](https://steemitimages.com/DQmQR9WPUi61bv1rCybd2aowBdXk4UHdwyQLUD2fc9FHgb3/image.png)\nMoreover, while the series code on the cell phones are not earned (for independent reasons), but it successfully launched itself in a network of connected smart refrigerators. And the concept of using IOT devices for mesh network is also perfectly consistent with the vision of RightMesh.\n\nThe philosophical idea of using smartphones to nodes of the mesh Network\nThe idea of using mobile smartphones to build a decentralized mesh network? in my opinion, very correct. Judge for yourself: modern smartphones are usually equipped with at least four separate communication modules: GSM/LTE for communication with the tower of the operator, Wi-Fi for high-speed network connection, Bluetooth for communication with local devices and NFC for contactless smart cards and payment systems. Plus, there is also exotic in the form of IR models for control of consumer electronics, but to build mesh networks infrared communication is probably not so relevant.\n\nSecondly, smartphones are ubiquitous and almost everyone has them. Unlike other similar projects for creating cellular networks, such as in the case of Ammbr, there is no need to use specialized devices to build a RightMesh network. This significantly reduces the end-user logon threshold and increases the potential use of the technology. In addition, the use of cross-platform Java in the implementation of algorithms RightMesh gives hope that in the future in addition to user smartphones network will live including IOT devices that are increasingly present in our everyday life: smart tv, smart refrigerators, coffeemakers, etc.\n\nFinally, the power of mobile devices is growing exponentially. And we can expect that in the near future, the resources of an ordinary smartphone will be enough to maintain a full-fledged node of the blockchain of the same Ethereum or its future analogue. And the mobile phone will act not only as a relay of mesh network signals, but also as a full-fledged nodes of the distributed blockchain.\n\nA little about ICO RightMesh and plans for the future\nPublic sale of MESH tokens of the project will be held in two stages:\n\nThe presale stage from 15 to 28 February with a bonus of 20% for early investors.\nThe main selling tokens, if the pre-sale they will be sold completely. Details and terms of the main sale will be formulated on the basis of the presale.\nA total of 38,850,000 MESH tokens are offered for sale at a nominal price of one us dollar.\n\nIn fact, it should be borne in mind that the company has already received $18 million in the zero stage of financing from private investors.\nAs a result, not all tokens are offered for public sale, but only 40% of them. Given the current interest in the project, I fully assume that all tokens will be sold within two weeks of the presale.\n\nIn any case, the developers already have enough money to implement their idea.\n\n\nAccording to the RightMesh roadmap, a full implementation of the network Protocol and tokens, as well as a set of development tools for integrating independent applications with the RightMesh mesh network will be available in the second quarter of this year. A global implementation of the network is scheduled for the end of 2019.\n\nIn my opinion, if these plans are implemented in practice, a very interesting project may come out.\n\nAlthough vangovat the future and to assess their ICO, I will not undertake I am just beginning to pump their expert skills, including on the platform of the Wings and expert platforms-type ICOBench. But that's a topic for a completely different article. And now I would like to discuss the project RightMesh specifically. What do you think about them?",
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      "body": "Congratulations @inkybator! You have completed some achievement on Steemit and have been rewarded with new badge(s) :\n\n[![](https://steemitimages.com/70x80/http://steemitboard.com/notifications/firstcommented.png)](http://steemitboard.com/@inkybator) You got a First Reply\n[![](https://steemitimages.com/70x80/http://steemitboard.com/notifications/posts.png)](http://steemitboard.com/@inkybator) Award for the number of posts published\n\nClick on any badge to view your own Board of Honor on SteemitBoard.\nFor more information about SteemitBoard, click [here](https://steemit.com/@steemitboard)\n\nIf you no longer want to receive notifications, reply to this comment with the word `STOP`\n\n> By upvoting this notification, you can help all Steemit users. Learn how [here](https://steemit.com/steemitboard/@steemitboard/http-i-cubeupload-com-7ciqeo-png)!",
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      "body": "<img src=\"https://d1o50x50snmhul.cloudfront.net/wp-content/uploads/2016/11/30161448/gettyimages-183549820.jpg\">\nBy Sam Wong\n\nGoogle Translate is getting brainier. The online translation tool recently started using a neural network to translate between some of its most popular languages – and the system is now so clever it can do this for language pairs on which it has not been explicitly trained. To do this, it seems to have created its own artificial language.\n\nTraditional machine-translation systems break sentences into words and phrases, and translate each individually. In September, Google Translate unveiled a new system that uses a neural network to work on entire sentences at once, giving it more context to figure out the best translation. This system is now in action for eight of the most common language pairs on which Google Translate works.\n\nAlthough neural machine-translation systems are fast becoming popular, most only work on a single pair of languages, so different systems are needed to translate between others. With a little tinkering, however, Google has extended its system so that it can handle multiple pairs – and it can translate between two languages when it hasn’t been directly trained to do so.\n\nFor example, if the neural network has been taught to translate between English and Japanese, and English and Korean, it can also translate between Japanese and Korean without first going through English. This capability may enable Google to quickly scale the system to translate between a large number of languages.\n\n“This is a big advance,” says Kyunghyun Cho at New York University. His team and another group at Karlsruhe Institute of Technology in Germany have independently published similar studies working towards neural translation systems that can handle multiple language combinations.\n\nNew common language\nGoogle’s researchers think their system achieves this breakthrough by finding a common ground whereby sentences with the same meaning are represented in similar ways regardless of language – which they say is an example of an “interlingua”. In a sense, that means it has created a new common language, albeit one that’s specific to the task of translation and not readable or usable for humans.\n\nCho says that this approach, called zero-shot translation, still doesn’t perform as well as the simpler approach of translating via an intermediary language. But the field is progressing rapidly, and Google’s results will attract attention from the research community and industry.\n\n“I have no doubt that we will be able to train a single neural machine-translation system that works on 100 plus languages in the near future,” says Cho.\n\nGoogle Translate currently supports 103 languages and translates over 140 billion words every day.\n\nSo will human translators soon find themselves out of work? Neural translation technology can already do a good job for simple texts, says Andrejs Vasiļjevs, co-founder of technology firm Tilde, which is developing neural translation services between Latvian or Estonian and English. But a good human translator understands the meaning of the source text, as well as its stylistic and lexical characteristics, and can use that knowledge to give a more accurate translation.\n\n“To match this human ability, we have to find a way to teach computers some basic world knowledge, as well as knowledge about the specific area of translation, and how to use this knowledge to interpret the text to be translated,” says Vasiļjevs.",
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