Company developing an open-source metaverse operating system - imagine Grand Theft Auto V as the Windows of the future:

At Lucidscape we are building a new kind of massively-distributed 3D simulation engine to power the vast network of interconnected virtual worlds known as the Metaverse.

Our work is necessary because incremental changes built atop existing 3D engine architectures will not be sufficient to create the kind of massively multi-user experiences we expect from tomorrow’s web-of-worlds.

Handling massive virtual worlds requires a fundamentally different approach to engine design, one that prioritizes the requirements of scale, thoroughly embraces distributed computing and many-core architectures, and that is also unencumbered by the legacy decisions which hold current engines back.

We are developing the open source software foundations for a future where millions of us will interact within enormous virtual worlds through standardized clients which allow users and programs to flow from one server to the next as easily as we navigate the web today. Our distributed simulation stack is intended to serve as the VR equivalent of the web server and browser, while also offering OS-like security and scheduling capabilities necessary to manage resource usage by users and nomadic programs.

Whilst at the moment it is in prototype / simulation state, this appears to be the only open-source attempt to date.

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Check out this awesome CGI video.

Made by Chris Jones, who says it was “hand-made with Lightwave, Sculptris and Krita, composited with Davinci Resolve Lite”.

Artificial intelligence program that learns like a child
Artificial intelligence programs may already be capable of specialized tasks like flying planes, winning Jeopardy, and giving you a hard time in your favorite video games, but even the most advanced offerings are no smarter than a typical four-year-old child when it comes to broader insights and comprehension. It makes sense, then, that researchers at the University of Gothenburg have developed a program that imitates a child’s cognitive development. “We have developed a program that can learn, for example, basic arithmetic, logic, and grammar without any pre-existing knowledge,” says Claes Strannegård. Starting from a set of simple and broad definitions meant to provide a cognitive model, this program gradually builds new knowledge based on previous knowledge. From that new knowledge it then draws new conclusions about rules and relations that govern the world, and it identifies new patterns to connect the insight to. The process is similar to how children develop intelligence. A child can intuit, for example, that if 2 x 0 = 0 and 3 x 0 = 0 then 5 x 0 will also equal 0, or they could draw the conclusion that the next number in the series “2, 5, 8” will be 11. And the same kinds of intuition carry across to other areas, such as grammar, where it’s easy to identify rules for standard verb conjugations from examples like sing becoming sang and run becoming ran in the past tense. “We postulate that children learn everything based on experiences and that they are always looking for general patterns,” Strannegård says. (via Artificial intelligence program that learns like a child)

Bayesian Prediction for The Winds of Winter (ArXiv, PDF)

Abstract. Predictions are made for the number of chapters told from the point of view of each character in the next two novels in George R. R. Martin’s A Song of Ice and Fire series by fitting a random effects model to a matrix of point-of-view chapters in the earlier novels using Bayesian methods.

SPOILER WARNING: readers who have not read all five existing novels in the series should not read further, as major plot points will be spoiled, starting with Table 1.

Via The Physics arXiv Blog


Amazing use of drones. The Ars Electronica Futurelab is experimenting with long-time-exposure shots to create 3d-Models and animations in the sky.

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