Lifeboat Foundation

Flatland: A Romance of Many Dimensions is a satirical novella by the English schoolmaster Edwin Abbott Abbott, first published in 1884 by Seeley & Co. of London. Written pseudonymously by “A Square”, ^{[ 1 ]} the book used the fictional two-dimensional world of to comment on the hierarchy of Victorian culture, but the novella’s more enduring contribution is its examination of dimensions. ^{[ 2 ]}

A sequel, Sphereland, was written by Dionys Burger in 1957. Several films have been based on including the feature film Dudley Moore and the short films [ 3 ].

Music by Protector 101 : “Runners” (2011)Video edit by Lueur VerteFootage taken from the movie : Blade Runner (1982)Buy the Album here : http://protector101…

O.o!!!

An MIT researcher has gotten the 30-year-old computer game Doom running on actual gut bacteria. The frame rate is really bad, as the game would take nearly 600 years to beat.

AIs have a big problem with truth and correctness – and human thinking appears to be a big part of that problem. A new generation of AI is now starting to take a much more experimental approach that could catapult machine learning way past humans.

Remember Deepmind’s AlphaGo? It represented a fundamental breakthrough in AI development, because it was one of the first game-playing AIs that took no human instruction and read no rules.

Continue reading “AI begins its ominous split away from human thinking” »

Thank you @LiamVickersAnimation made us such a wonderful animated series, we wish you good luck in your life in the meantime, enjoy the movie of all the epi…

We present GameNGen, the first game engine powered entirely by a neural model that enables real-time interaction with a complex environment over long trajectories at high quality. GameNGen can interactively simulate the classic game DOOM at over 20 frames per second on a single TPU. Next frame prediction achieves a PSNR of 29.4, comparable to lossy JPEG compression. Human raters are only slightly better than random chance at distinguishing short clips of the game from clips of the simulation. GameNGen is trained in two phases: an RL-agent learns to play the game and the training sessions are recorded, and a diffusion model is trained to produce the next frame, conditioned on the sequence of past frames and actions. Conditioning augmentations enable stable auto-regressive generation over long trajectories.

A few nutty professors have figured out a way to teach a smart gel how to play a video game, but can it clear Elden Ring?

The trailer featured quotes from famous film critics panning Francis Ford Coppola’s previous films that appear to be made up by ChatGPT.

In a study published in Cell Reports Physical Science (“Electro-Active Polymer Hydrogels Exhibit Emergent Memory When Embodied in a Simulated Game-Environment”), a team led by Dr Yoshikatsu Hayashi demonstrated that a simple hydrogel — a type of soft, flexible material — can learn to play the simple 1970s computer game ‘Pong’. The hydrogel, interfaced with a computer simulation of the classic game via a custom-built multi-electrode array, showed improved performance over time.

Dr Hayashi, a biomedical engineer at the University of Reading’s School of Biological Sciences, said: Our research shows that even very simple materials can exhibit complex, adaptive behaviours typically associated with living systems or sophisticated AI.

This opens up exciting possibilities for developing new types of ‘smart’ materials that can learn and adapt to their environment.