Kimera Systems Expands Beta for their Game Changing Artificial General Intelligence Technology

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Kimera Systems announced the expansion of its beta for Nigel™, the company’s Artificial General Intelligence (AGI) technology, capable of human-like problem solving. The closed beta which began in August is now open to all Android devices. Kimera’s quantum mechanics approach to AGI has led to beta participations of several of the world’s leading tech giants, venture capitalists and AI research groups.

The company is confident in its approach to AGI and will offer some groundbreaking incentives to its beta users. Not only will they offer revenue sharing, but pending ongoing legal work by the company’s corporate attorneys, Kimera will soon announce some game changing offerings for its most active beta users. Experts believe that AGI will be the ingredient that reshapes the digital economy and the way users engage with technology.

Last August, Nigel was launched in a private beta with users selected from numerous locations throughout the United States, Europe, Africa and Asia. The technology began learning immediately in the same way humans do – by observing user behavior in Nigel-enabled devices. Nigel’s learning is completely unsupervised – free from any human intervention whatsoever. The last eleven months have been a succession of breakthrough engineering discoveries enabled by the original beta users.

Some of the milestones from the closed portion of the beta include:

  • Nigel observed people silencing their phones shortly after arriving at movie theaters. After only three days of observations, Nigel learned that silencing a device at the movies is a common-sense action. Nigel connected the dots and began automatically silencing phones upon users entering any movie theater, anywhere in the world.
  • Nigel observed a user’s interactions with his phone while at a restaurant with his spouse. The user rejected all incoming calls except for their babysitter. When the user and his spouse next went out for dinner, Nigel proactively silenced all incoming calls unless it was their babysitter. Through this experience, Nigel started to learn the concept of “a date” and began to understand typical human behavior during dinner dates.
  • Nigel has learned to auto-reply to basic text messages. On one occasion a user, who was supposed to be at a meeting texted an attendee who was already at the meeting venue asking “Is everyone there?” Nigel auto-replied to the late attendee “Everyone is here except you.”
  • Instead of getting a list of the 20 closest restaurants, Nigel delivers one or two suggestions based on comprehending their respective menus. Nigel recommends a place for lunch based on having learned what food the user likes, taking into account the user’s dietary preferences as well as any health and fitness goals the user may have set. For example, if the user skipped his routine morning run, Nigel will take that into consideration when making recommendations.

The Nigel algorithm does not contain any code focusing on specific use-cases, and all of Nigel’s actuations are the result of unsupervised observation and Nigel’s ability to transfer learning from one domain to any another. The company considers Nigel still at the baby stage, but the result of the private beta clearly shows the technology is working without any domain restrictions. The company is optimistic about growing and maturing Nigel to take on the biggest challenges mankind has in the future. This is Kimera’s grand vision.

Unlike traditional Narrow AI systems like Alexa and Siri, which are programmed to accomplish specific tasks, AGI might be the one human invention that cannot be designed to solve specific problems,” said Mounir Shita, founder and CEO of Kimera Systems. “AGI like Nigel must learn to identify and solve problems on its own. Results from our private beta show the beginning stages of Nigel’s ability to observe, learn and, most importantly, comprehend reality in order to find solutions to everyday problems. And best of all, Nigel is an exceptionally fast learner.”

Expectations over the next 12 months include Nigel learning to read and write at an elementary school level, developing a general understanding of cause and effect as well as a general understanding of social cues and common sense. Shita anticipates that Nigel will eventually act as a digital mind with the potential to extend its users’ own ways of thinking – enabled by Nigel reasoning and viewing reality in the same way as its users.


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