LML gets a Gamified WOTC Tool — “Man Vs Machina”

In a previous article published within our Medium account GNY explored how “wisdom of the crowd” has evolved as a scientific theory and the conditions it needs to operate. WOTC suggests that the estimates of a crowd of individuals often outperforms that of a single expert, and the guesses must be comprised of a capable crowd, defined by these core features:

  • Independence
  • Decentralization
  • Opinion Diversity
  • Trust
  • Aggregation
GNY has been experimenting with these concepts for some time, and how they can be incorporated into its machine learning models to improve forecasting accuracy. We are now building a game that would embody all of the aspects necessary to ensure powerful WOTC data.

GNY builds powerful technology at the intersection of blockchain and machine learning. Our customer-facing products are focused on AI-powered forecasting and indicators for crypto traders. Our sister project, LML, was envisioned as a suite of tools to harness, transform and share data securely and powerfully. LML is the perfect vehicle for the WOTC tool. This tool, a game called “Man Vs Machina”, will be the first in a series of tools to be developed for LML.

The core of Man Vs Machina challenges users to outperform GNY’s ML engine for the chance to win prizes and best each other. By placing a personal prediction for what they believe the high and the low will be for the price of Bitcoin (and later a range of cryptocurrencies) within a specified 24 hr window, players can win prizes and bragging rights. The players pit themselves against other humans, plus the “final boss”, which is GNY’s neural network and its machine learning-driven price predictions. In the game, GNY’s neural networks are personified by the “GNY Queen”, a fun pixel-drawn character who encourages and taunts the players in equal measure.

Concept art for the Man Vs. Machina tool. The machine learning predictions will be presented by the personification of our AI, the GNY Queen.

With Bitcoin still holding as the most important force in the crypto markets, the desire to predict its price is irresistible. Collective guesses become daily new data points that contribute to the GNY Range Report, providing both utility and value to the LML chain, while further improving GNY’s trading indicators.

The GNY Range Report is the leading AI-powered crypto report, and WOTC data from Man Vs. Machina will power new forecasting models for users at gnyrr.comThe technology behind this gamified WOTC data collection will be expanded to other cryptocurrencies in the future, and also serves as the first point of minting and utilizing Data NFTs in the GNY data ecosystem for the LML chain. A subsequent paper will detail the tokenomic aspects.

Man Vs. Machina will be developed in partnership with The Distance UK, the award-winning app developers that built and launched the GNY Mobile Wallet last year (as well as mobile apps for Bentley and other major brands). GNY’s continued collaboration with The Distance will again elevate this project to a beautiful, easy to play, and highly interactive and addictive game. This mobile app will allow for on-the-go engagement from users and achieve best in class UX, interface, and mobile design.

The GNY Mobile Wallet was developed by the Distance UK and can be downloaded on the App Store and Google Play.

We anticipate that gamified trading and WOTC data will become increasingly important as crypto trading becomes more mainstream. GNY will continue to provide engaging, innovative, and powerful technologies to advance this wave.

Privacy Policy

Who we are

Our website address is: https://gny.io.

Comments

When visitors leave comments on the site we collect the data shown in the comments form, and also the visitor’s IP address and browser user agent string to help spam detection.

An anonymized string created from your email address (also called a hash) may be provided to the Gravatar service to see if you are using it. The Gravatar service privacy policy is available here: https://automattic.com/privacy/. After approval of your comment, your profile picture is visible to the public in the context of your comment.

Media

If you upload images to the website, you should avoid uploading images with embedded location data (EXIF GPS) included. Visitors to the website can download and extract any location data from images on the website.

Cookies

If you leave a comment on our site you may opt-in to saving your name, email address and website in cookies. These are for your convenience so that you do not have to fill in your details again when you leave another comment. These cookies will last for one year.

If you visit our login page, we will set a temporary cookie to determine if your browser accepts cookies. This cookie contains no personal data and is discarded when you close your browser.

When you log in, we will also set up several cookies to save your login information and your screen display choices. Login cookies last for two days, and screen options cookies last for a year. If you select “Remember Me”, your login will persist for two weeks. If you log out of your account, the login cookies will be removed.

If you edit or publish an article, an additional cookie will be saved in your browser. This cookie includes no personal data and simply indicates the post ID of the article you just edited. It expires after 1 day.

Embedded content from other websites

Articles on this site may include embedded content (e.g. videos, images, articles, etc.). Embedded content from other websites behaves in the exact same way as if the visitor has visited the other website.

These websites may collect data about you, use cookies, embed additional third-party tracking, and monitor your interaction with that embedded content, including tracking your interaction with the embedded content if you have an account and are logged in to that website.

Who we share your data with

If you request a password reset, your IP address will be included in the reset email.

How long we retain your data

If you leave a comment, the comment and its metadata are retained indefinitely. This is so we can recognize and approve any follow-up comments automatically instead of holding them in a moderation queue.

For users that register on our website (if any), we also store the personal information they provide in their user profile. All users can see, edit, or delete their personal information at any time (except they cannot change their username). Website administrators can also see and edit that information.

What rights you have over your data

If you have an account on this site, or have left comments, you can request to receive an exported file of the personal data we hold about you, including any data you have provided to us. You can also request that we erase any personal data we hold about you. This does not include any data we are obliged to keep for administrative, legal, or security purposes.

Where we send your data

Visitor comments may be checked through an automated spam detection service.

GNY ERC-20 contract code:

				
					0xb1f871ae9462f1b2c6826e88a7827e76f86751d4
				
			

GNY ERC-20 contract code:

				
					0xe4A4Ad6E0B773f47D28f548742a23eFD73798332
				
			

This website uses cookies to ensure you get the best experience on our website. See GNY’s cookie policy for more information.