Although I certainly believe that any member of our highly digital society should be familiar with how these platforms work, universal code literacy won’t solve our employment crisis any more than the universal ability to read and write would result in a full-employment economy of book publishing.
It’s actually worse. A single computer program written by perhaps a dozen developers can wipe out hundreds of jobs. As the author and entrepreneur Andrew Keen has pointed out, digital companies employ 10 times fe
Although there is no question that governments and central authorities will continue to exist and play a meaningful role in the world’s future, much of the current work performed by these governments and other authorities is also needlessly repetitive and mundane.
Just as robots have helped the world reduce menial physical labor, so cryptocurrency technology now gives us the tools to automate the menial labor of bureaucracy. Optimistically, the entirety of humanity will benefit as a result.
Predictions about you (and millions of other strangers) are starting to deeply shape your life. Your career, your love life, major decisions about your health and well-being, and even if you end up in jail, are now being governed in no small part by the digital bread crumbs you’ve left behind—many of which you don’t even know you’ve dropped in the first place.
“AI methods are progressing much faster than expected, (which) makes the question of the long-term outcome more urgent,” said AI expert Stuart Russell of the University of California’s Berkeley Electrical Engineering & Computer Sciences department.
“In order to ensure that increasingly powerful AI systems remain completely under human control… there is a lot of work to do,” he continued.That means that the long held fantasy of a true form of general artificial intelligence is going to be upon humanity sooner than we thought.
A majority of Americans – 65 percent – now believe that robots will “definitely” or “probably” take over much of the work we humans do within 50 years – but less than 20 percent see this transformation happening to their current job.
Despite the fact that this is already happening, many more people are worried about being pushed out because of someone else undercutting them, according to a Pew survey of 2,000 people, rather than their role simply being automated out of existence.
Researchers from Stanford University, led by Dr. Jessica Cauchard, have established an “emotional model space” for drones, which consists of a set of eight emotional states (personalities) that have defining characteristics that can be easily recognized by human users, and that can be accurately represented through simple actions that the drone can perform. These personalities include: brave, dopey, sleepy, grumpy, happy, sad, scared, and shy. For example, a drone with a brave personality moves quickly and smoothly, and if you ask it to go backwards, it’ll instead turn around and go forwards. A dopey drone flies a little wobbly. A grumpy drone may require you to repeat commands, while a sad drone flies low to the ground.
Currently, a significant factor holding back renewable energy sources like solar and wind is the fact that energy storage is often inefficient and expensive. When the sun stops shining or the wind stops blowing, that energy source is cut off. With better energy storage, however, the economics of the entire industry would change.
Deep learning enables the robot to perceive its immediate environment, including the location and movement of its limbs. Reinforcement learning means improving at a task by trial and error. A robot with these two skills could refine its performance based on real-time feedback.
Applications for such a skilled robot might range from helping humans with tedious housekeeping chores to assisting in highly detailed surgery. In fact, Abbeel says, “Robots might even be able to teach other robots.” Or humans?