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‘The problem with many scientists is that they want to do things because they want to experiment. That is not a good enough rationale.’

‘The reason for doing these experiments is to understand more about early human development and come up with ways of curing serious diseases, and as a scientist I feel there is a moral imperative to pursue this research.

Human-animal hybrids are also created in other countries, many of which have little or no regulation.

Her prediction: Companies will soon sell robots designed to baby-sit children, replace workers in nursing homes, and serve as companions for people with disabilities. All of which to Turkle is demeaning, "transgressive," and damaging to our collective sense of humanity. It's not that she's against robots as helpers—building cars, vacuuming floors, and helping to bathe the sick are one thing. She's concerned about robots that want to be buddies, implicitly promising an emotional connection they can never deliver.

y: We are already cyborgs, reliant on digital devices in ways that many of us could not have imagined just a few years ago

"We are hard-wired that if something meets extremely primitive standards, either eye contact or recognition or very primitive mutual signaling, to accept it as an Other because as animals that's how we're hard-wired—to recognize other creatures out there."

I'll press your buttons here by positing that if "we" (humankind) are too dumb to self-regulate our own childbirth output, too dim to recognize that we are polluting ourselves and neighbors out of sustainable existence, we are, in fact, a ridiculous parasite on this Earth and that the planet on which we live will simply slough us off—as it well should—and will bounce back without evidence of we even being here, come two or three thousand years. Your thoughts (in as much detail as you wish)?I would recommend reading my "the next 50 years" piece here. Basically I think that
 climate change, which in this case genuinely is caused mostly by humanity, 
is just one part of the environmental problem. Overfishing, toxification of 
the seas, pesticide use, weedkillers, prescription drugs in water,
 fracking, continued air pollution, toxicity in food, destruction of animal
 habitat, attrition on bee colonies—all this is converging. And we'll be 
facing the consequences for several hundred years.

I believe humanity will
 survive, and it won't be surviving like Road Warrior or the Morlocks from The Time Machine, but I think we'll have some cruelly ugly social consequences. We'll have famines the like of which we've never seen before, along with higher risk of wars—I do predict a third world war in the second half of this century but I don't think it will be a nuclear war—and I think we'll suffer so hugely we'll be forced to have a change in consciousness to adapt. 

When Devo formed more than 40 years ago, we never dreamed that two decades into the 21st century, everything we had theorized would not only be proven, but also become worse than we had imagined

May 4 changed my life, and I truly believe Devo would not exist without that horror. It made me realize that all the Quasar color TVs, Swanson TV dinners, Corvettes, and sofa beds in the world didn't mean we were actually making progress. It meant the future could be not only as barbaric as the past, but that it most likely would be. The dystopian novels 1984, Animal Farm, and Brave New World suddenly seemed less like cautionary tales about the encroaching fusion of technological advances with the centralized, authoritarian power of the state, and more like subversive road maps to condition the intelligentsia for what was to come.

a philosophy emerged, fueled by the revelations that linear progress in a consumer society was a lie

As information overload grows ever worse, computers may become our only hope for handling a growing deluge of documents. And it may become routine to rely on a machine to analyze and paraphrase articles, research papers, and other text for you.

Parsing language remains one of the grand challenges of artificial intelligence (see “AI’s Language Problem”). But it’s a challenge with enormous commercial potential. Even limited linguistic intelligence—the ability to parse spoken or written queries, and to respond in more sophisticated and coherent ways—could transform personal computing. In many specialist fields—like medicine, scientific research, and law—condensing information and extracting insights could have huge commercial benefits.

The system experiments in order to generate summaries of its own using a process called reinforcement learning. Inspired by the way animals seem to learn, this involves providing positive feedback for actions that lead toward a particular objective. Reinforcement learning has been used to train computers to do impressive new things, like playing complex games or controlling robots (see “10 Breakthrough Technologies 2017: Reinforcement Learning”). Those working on conversational interfaces are increasingly now looking at reinforcement learning as a way to improve their systems.