This article is a guide to the companies building the generative artificial intelligence technology that will lead to these virtual worlds (games, simulations, metaverse applications).
Existing market maps describing the landscape for generative AI lack a convincing organization, instead seeming to be random boxes based on functionality. Since most of my readers are interested in the technologies and companies powering things like games, simulations and metaverse applications — you’ll find this map helpful in charting who is moving these specific experiences forward.
🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Benji Rabhan, Bryan Learn, B Shang, Christian Ahlin, Edward Unthank, Eric Martel, Geronimo Moralez, Gordon Child, Jace O’Brien, Jack Lukic, John Le, Jonas, Jonathan, Kenneth Davis, Klaus Busse, Kyle Davis, Lorin Atzberger, Lukas Biewald, Matthew Allen Fisher, Matthew Valle, Michael Albrecht, Michael Tedder, Nevin Spoljaric, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Rajarshi Nigam, Ramsey Elbasheer, Richard Sundvall, Steef, Taras Bobrovytsky, Ted Johnson, Thomas Krcmar, Timothy Sum Hon Mun, Torsten Reil, Tybie Fitzhugh, Ueli Gallizzi. If you wish to appear here or pick up other perks, click here: https://www.patreon.com/TwoMinutePapers.
Persons with autism spectrum conditions (ASC) often engage in video gaming, one of the most common leisure activity in this population. Escapism, aimed at the avoidance of negative experiences or self-development, is considered as one of the main gaming motivations. Furthermore, escapism is a self-regulatory strategy used while suffering from autistic burnout, consisting of exhaustion, reduced social skills, anhedonia, and withdrawal. The goal of the current study was to determine predictors of escapism in video gaming among adult gamers with ASC. It was hypothesized that two types of escapism – self-suppression and self-expansion – would differentiate gaming motivations, affective outcomes, anhedonia, and autistic burnout rates. A total of 189 persons participated in the study (Mage = 27.52, SDage = 7.25), including 105 females. The results obtained indicated that self-suppression escapism was predicted by introjected regulation, positive and negative affect, and hedonic tone (F = 8.760, p < .001), while self-expansion was predicted by identified and integrated gaming motivations, hedonic tone, and positive affect (F = 23.066, p < .001). PLS-SEM analysis revealed good fit of the model with autistic burnout predicting self-suppression escapism. These results acknowledge the two-dimensional approach to escapism and highlight potential risk factors of self-suppression, especially among persons presenting symptoms of autistic burnout. Future research and clinical application directions are outlined.
Blizzard entertainment’s servers were shut down this week after two decades.
Millions of gamers who grew up with stories of achievements in the medieval digital world of Azeroth were in tears after Tuesday night after their access to the World of Warcraft (WoW) game servers was removed in China, CNN.
Sascha Steinbach/Getty.
The opposition to gaming took a more formal route after teenage boys set fire to an internet cafe in 2002 after they were thrown out. The incident claimed 25 lives and injured 17 others, South China Morning Post (SCMP) said in its previous report. China has also attempted to ban devices like gaming consoles but with only partial success.
The technology can detect disorders up to six months earlier than a doctor.
Researchers are using motion capture artificial intelligence technology that brings characters to life in films like Avatar to track the onset of diseases which affect movement, according to a report by the BBC
Dr Valeria Ricotti, part of the team that is working on the new development, told BBC News that she was “completely blown away by the results”.
Film Spot/YouTube.
The new system uses artificial intelligence to analyze body movements and diagnose disorders twice as quickly as the best doctors.
John F. Nash, Equilibrium Points in n-Person Games, Proceedings of the National Academy of Sciences of the United States of America, Vol. 36, No. 1 (Jan. 15, 1950), pp. 48–49.
The essence of the Turing Test revolves around whether a computer can successfully impersonate a human. The test is to be put into practice under a set of detailed conditions which rely on human judges being connected with test subjects (a computer and a person) solely via an instant messaging system or its equivalent. That is, the only information which will pass between the parties is text.
To pass the test, a computer would have to be capable of communicating via this medium at least as competently as a person. There is no restriction on the subject matter; anything within the scope of human experience in reality or imagination is fair game. This is a very broad canvas encompassing all of the possibilities of discussion about art, science, personal history, and social relationships. Exploring linkages between the realms is also fair game, allowing for unusual but illustrative analogies and metaphors. It is such a broad canvas, in my view, that it is impossible to foresee when, or even if, a machine intelligence will be able to paint a picture which can fool a human judge.
While it is possible to imagine a machine obtaining a perfect score on the SAT or winning Jeopardy—since these rely on retained facts and the ability to recall them—it seems far less possible that a machine can weave things together in new ways or to have true imagination in a way that matches everything people can do, especially if we have a full appreciation of the creativity people are capable of. This is often overlooked by those computer scientists who correctly point out that it is not impossible for computers to demonstrate creativity. Not impossible, yes. Likely enough to warrant belief in a computer can pass the Turing Test? In my opinion, no. Computers look relatively smarter in theory when those making the estimate judge people to be dumber and more limited than they are.
