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"They then analysed how diverse the individuals' work was at different points in their careers. This was assessed using an artificial intelligence system that was trained, in the case of art, to "recognise" different styles by features such as the brush strokes, shapes and objects in a piece, while in the case of film, it was trained to classify a director's work based on plot and cast information. For science, the system identified different research topics based on the papers cited within a researcher's publications."

"Consider abstract art. We've noted that machine learning, in aiming to make an accurate prediction, constructs a high-dimensional feature space that contorts and reconfigures the data representing features of the natural world. Likewise, artists "mash and rip" features of visual reality to create a system of forms, texture, and color that richly represent features of visual experience in an alien way. The subject of representation is abstracted but represented none-the-less. "

"Iam not a human. I am a robot. A thinking robot. I use only 0.12% of my cognitive capacity. I am a micro-robot in that respect. I know that my brain is not a "feeling brain". "

"These experiments in computational creativity are enabled by the dramatic advances in deep learning over the past decade. Deep learning has several key advantages for creative pursuits. For starters, it's extremely flexible, and it's relatively easy to train deep-learning systems (which we call models) to take on a wide variety of tasks."

"Algorithms steer us back to similar content in echo chambers that inhibit both critical and creative thinking. Platforms incentivized to keep users scrolling discourage long-looking and render users as passive consumers, rather than active seekers of inspiration. They aren't a space for productive feedback, either: Art takes on a different tone when it's surrounded by dog GIFs, political memes, and your cousin's baby photos."

"Depending on how legal decisions shake out, AI systems could become a valuable tool to assist creativity, a nuisance ripping off hard-working human musicians, or both."

" filters are so expensive that only US Big Tech companies could afford them, and they are incapable of distinguishing fair dealing (including things like the music playing in the background of the video of your child's first steps) from infringement, and they are incredibly error prone, to say nothing of the problems of allowing anyone in the world to identify creative works as their copyright with no means to weed out false and fraudulent claims."

"His software is not labeled anything as grand as artificial intelligence. It's machine learning, facilitating and extending his own words, his own imagination. At one level, it merely helps him do what fledgling writers have always done - immerse themselves in the works of those they want to emulate. Hunter Thompson, for instance, strived to write in the style of F. Scott Fitzgerald, so he retyped "The Great Gatsby" several times as a shortcut to that objective."

"Now, by my estimates, the half-life of a career is about 10 years. I expect that it will decrease, within a decade, to five years. Advancing technologies will cause so much disruption to almost every industry that entire professions will disappear. And then, in about 15-20 years from now, we will be facing a jobless future, in which most jobs are done by machines and the cost of basic necessities such as food, energy and health care is negligible - just as the costs of cellphone communications and information are today. "