Google’s DeepMind AI Just Taught Itself To Walk

Your order is processing 💿 for Super Deluxe

Virtual Genetic Code

Kids are burning each other with boiling water in a deadly “Hot water challenge” YouTube trend

As seen in YouTube and Twitter videos, the “hot water challenge” involves surprising a friend by burning them with boiling water.

Another variation includes challenging someone to drink boiling hot water through a straw or pouring boiling water on themselves.

8-year-old Ki’ari Pope’s cousin dared her to sip boiling water through a straw back in March. She obliged and suffered burns in her mouth and throat, requiring a tracheotomy. In July, she complained that she couldn’t breathe and later died. (Palm Beach Post, GoFundMe)

In addition to Pope, the trend has left several kids with serious injuries.

Jamoneisha Merritt, 11, was at a sleepover Sunday night when her friends poured boiling water over her face as she slept. She suffered extreme injuries and may be left permanently disfigured.

North Carolina 10-year-old Wesley Smith also suffered severe burns after attempting the challenge with his stepbrother, the boy’s mother told WNCN.com, a CBS affiliate.

Parents have begun speaking out about the challenge. Read more (8/10/17)

AYA-BAMBI - slic + style2paint

Another experiment from LuluXXX exploring Machine Learning visual outputs, combining black and white image colourization, slic superpixels image segmentation and style2paint manga colourization on footage of Aya-Bambi dancing:

mixing slic superpixels and style2paint. starts with version2 than version4 plus a little breakdown at the end and all 4 versions of the algorithm. music : Spettro from NadjaLind mix - https://soundcloud.com/nadjalind/nadja-lind-pres-new-lucidflow-and-sofa-sessions-meowsic-mix original footage : https://www.youtube.com/watch?v=N2YhzBjiYUg 

Link

Motion capture- you never know when I may need to do one of The Rock’s Baywatch stunts/ better safe than sorry.

Vacuum Tube - The Upgrade

—-

Graphic - Thomas A. Gieseke

HV. Self-replicating artificial intelligence program named Dorothy.

Galerians: Ash (2002) PS2

NVIDIA Tesla V100 GPU accelerators are great gear for great AI researchers. That’s why our CEO Jensen Huang presented these new Volta architecture-based GPUs to 15 participants in our NVIDIA AI Labs program recently at the CVPR 2017 conference. These researchers will be among the first to put our latest technology to work in autonomous driving, virtual reality, and other areas. nvidia.com/inception

Current AI programming techniques are incompatible for creation of human intelligence

        When artificial intelligence first came about in the first computing machines, computing was restricted by technology and computing power. The easiest way to get around giving intelligent functions to a machine was to give it basic sets of rules. These finite set of rules took up small amounts of memory, and could be used dependent on the input and goal. The rules could be combined to create more complex functions, exponentially increasing the amount of total functions available.

       The current computing grew from these beginnings, now using complex algorithmic and recursive functions using basic rules to further increase the amount of computing possibilities. The search for true artificial intelligence, one comparable to our amount of intelligence and conscious awareness, is in the works. A robotic creation using transistors and circuits and algorithmic programming whilst having the conscious and cognitive abilities that humans possess is the end goal. We know so far that even the most advanced artificial intelligence makes semantic and perceptual errors about the physical world.

       The problem with creating an artificial intelligence like our own is the rule-based computing which is the seed of modern computing intelligence. The seed planted was a rule-based one, and since we used these seeds to grow modern computing, we now have this type of computing available. I strongly believe this rule-based computing will never allow for true human-based artificial intelligence to be used. Human cognition and consciousness is not a rule-based system, and rule-based systems are not able to perform the amount and type of processing that the human mind does.

       The human mind processes information in bottom-up and top-down processes by integrating sensory info and semantic knowledge in integration centers of the brain. The mind can take this info and again reanalyze in in a seemingly subjective fashion, or by applying further conscious reason to perform a reaction to the input info. The mind has the ability to consciously engage ideas in the brain in a way that doesn’t seem to obey rules.

       Humans can be argued to be mostly a tabula rasa (blank slate) at birth, with arguably some innate abilities; perhaps there are some undefined “rules”. To create a “fully grown” and “mature” robot instantaneously, as well as endow it with all the knowledge of the world and processing an adult human would possess is a disastrous thought. We can’t program a mature robot, we need to grow it. Create a robot with the ability to learn, and to perform connections by repeated pairings of stimuli. A robot would be endowed with the learning abilities of which humans possess, so that it may learn connections in the world and be endowed with human-type knowledge and ability. The way we “program” robots now with artificially intelligent algorithms does not begin to scratch the surface of human knowledge ability.

       A robotic creation as a “newborn” with very few programmed rules besides rules for stimuli pairing, feature detection, whilst integrating the perceptual info similar in fashion to how the info bonds and integrates in the human brain is essential. No need for large highly complex algorithmic programs, we set a few basic algorithms, and allow the robot to “learn” the world on its own. While this is a long process, I believe it is the closest approximation to a human-like artificial intelligence. We bare the robot, and allow it to grow and mature in the human world by interaction with the world and gaining knowledge in the fashion that we do. This is the only way to create a robot which can be perceptually and semantically comparable to a human.

This post was inspired by this video on cognitive science: https://youtu.be/0T_nOzpBYxU

Vimeo pitch of the founders of Ethereum, who want to use the Bitcoin architecture to reinvent the rest of our political economy—smart contracts, distributed corporations, and even decentralized political parties