Modern copyright law can't keep pace with thinking machines


This past April, engineer Alex Reben developed and posted to YouTube, "Deeply Artificial Trees", an art piece powered by machine learning, that leveraged old Joy of Painting videos. It generate gibberish audio in the speaking style and tone of Bob Ross, the show's host. Bob Ross' estate was not amused, subsequently issuing a DMCA takedown request and having the video knocked offline until very recently.

Consciousness Began When the Gods Stopped Speaking - Issue 54: The Unspoken


Julian Jaynes was living out of a couple of suitcases in a Princeton dorm in the early 1970s. He must have been an odd sight there among the undergraduates, some of whom knew him as a lecturer who taught psychology, holding forth in a deep baritone voice. He was in his early 50s, a fairly heavy drinker, untenured, and apparently uninterested in tenure. "I don't think the university was paying him on a regular basis," recalls Roy Baumeister, then a student at Princeton and today a professor of psychology at Florida State University. But among the youthful inhabitants of the dorm, Jaynes was working on his masterpiece, and had been for years.

Consciousness And The Inter Mind


We Do Not See Objects We Detect Objects. 10 Arguments For The Conscious Mind. 4 Arguments For The Inter Mind. Developing An Artificial Inter Mind. 10 Conscious Artificial Intelligence Using The Inter Mind Model. 10 Human Consciousness Transfer Using The Inter Mind Model. 10 Reality Is A Simulation Using The Inter Mind Model. 10 If A Tree Falls In A Forest Using The Inter Mind Model. 10 The Big Bang happens and a new Universe is created. This Universe consists of Matter, Energy, and Space. After billions of years of complicated interactions and processes the Matter, Energy, and Space produce a planet with Conscious Life Forms (CLFs). In the course of their evolution the CLFs will need to See each other in order to live and interact with each other.

Human-level AI: how far are we?


Self-awareness: this level of "consciousness" is still mysterious in humans, although there have been several breakthroughs by neuroscientists in understanding more what happens in the human brain when we become aware of something, i.e. when an "I" - or a "self" - emerges and we have subjective experiences. For many, high-level consciousness is perhaps the "last bastion" of humanity in retaining some kind of superiority over the intelligent machines of the future. Nevertheless, creating machines that mimic self-awareness may not be impossible. I say "mimic" because, unless we find an objective way to measure human consciousness, we will forever be unable to conclude whether a machine is "truly" conscious or not. Machines that will have us believe they have a self, or a personality, should be relatively easy to develop.

Zombies Must Be Dualists - Issue 53: Monsters


David Chalmers, who coined the phrase "Hard Problem of consciousness," is arguably the leading modern advocate for the possibility that physical reality needs to be augmented by some kind of additional ingredient in order to explain consciousness--in particular, to account for the kinds of inner mental experience pinpointed by the Hard Problem. One of his favorite tools has been yet another thought experiment: the philosophical zombie. Unlike undead zombies, which seek out brains and generate movie franchises, philosophical zombies look and behave exactly like ordinary human beings. Indeed, they are perfectly physically identical to nonā€zombie people. The difference is that they are lacking in any inner mental experience.

CEO Secrets: AI boss says build a smart, thinking machine

BBC News

Vishal Chatrath is the CEO of Cambridge-based artificial intelligence start up He told #CEOSecrets that all bosses can strive to turn their businesses into smart, thinking machines.

When AI dominates, what will we do for a crust?


Future of work experts (yes, it's a thing now) and AI scientists who spoke to Lateline variously described a future in which there were fewer full-time, traditional jobs requiring one skill set; fewer routine administrative tasks; fewer repetitive manual tasks; and more jobs working for and with "thinking" machines. "We don't make computers that have a lot of emotional intelligence," Professor Walsh says. "We are social people, so the jobs that require lots of emotional intelligence -- being a nurse, marketing jobs, being a psychologist, any job that involves interacting with people -- those will be the safe jobs. Jobs growth is already strong in the caring economy with unmet demand in child care, aged care, health care and education -- although many of those jobs are poorly paid.

Can Robots Teach Us What It Means To Be Human?


Her response when William poses this question: "Well, if you can't tell, does it matter?" But our fascination with robot sentience may be leading us to overlook a deeper, and equally intriguing question: Could robots fundamentally change the way humans engage not with robots... but with other humans? The Hidden Brain Podcast is hosted by Shankar Vedantam and produced by Maggie Penman, Jennifer Schmidt, Renee Klahr, Rhaina Cohen, and Parth Shah. You can also follow us on Twitter @hiddenbrain, and listen for Hidden Brain stories each week on your local public radio station.

Machine Learning Vs. Artificial Intelligence: Unpacking Their Histories AdExchanger


Treating the two terms as interchangeable or treating machine learning as a part of the AI landscape only complicates things. Typically, it is separated into techniques that have either a specific thing that they are looking to predict, which is called supervised machine learning, and classifying things, called unsupervised machine learning. AI refers to a very limited subset of methodological techniques, including neural networks or expert systems, that mimic cognitive systems of human intelligence. If you look on the machine learning Wikipedia page, the techniques used for typical AI applications are a subset of machine learning.