Architecture may make it possible to train one machine-learning model that performs all sorts of tasks.
Tl;dr: It’s obvious at this point that humanity isn’t going to solve the alignment problem, or even try very hard, or even go out with much of a fight. Since survival is unattainable, we should shift the focus of our efforts to helping humanity die with with slightly more dignity.
Well, let’s be frank here. MIRI didn’t solve AGI alignment and at least knows that it didn’t. Paul Christiano’s incredibly complicated schemes have no chance of working in real life before DeepMind destroys the world. Chris Olah’s transparency work, at current rates of progress, will at best let somebody at DeepMind give a highly speculative warning about how the current set of enormous inscrutable tensors, inside a system that was recompiled three weeks ago and has now been training by gradient descent for 20 days, might possibly be planning to start trying to deceive its operators.
Management will then ask what they’re supposed to do about that.
Interesting…
Slime that can be controlled by a magnetic field can navigate tight spaces and grasp objects, making it ideal for possible uses inside the body.
It’s like “Venom” or “Flubber” come to life.
Scientists have created a bizarre magnetic slime that can be remotely controlled via a magnetic field, New Scientist reports. They’re hoping the odd entity could be used to navigate narrow passages inside the human body, likely to collect objects that were mistakenly swallowed.
Of course, that’s if you’re willing to swallow this thing and have it poking around inside of you — video footage of the thing certainly doesn’t make it look appetizing. In fact, people online are already cracking potty humor jokes about it.
Robot Maid: The child-sized robot can mop, pick up stuff off the floor, put dishes away, and even move furniture. It can even make and bring you coffee.
Remember the Jetsons? As kids, we hoped someday we’d have flying cars or those jetpacks Elroy used to zip around with. As we become older, the thing we really want most from the Jetsons is their lovable maid Rosie. Because let’s be honest, we all despise cleaning. Whether it’s vacuuming the living room, mopping up the kitchen or picking up our kid’s toys, nobody cleans with a smile on their face. Wouldn’t it be great if we had a robot maid like Rosie to clean up while we focused on other stuff?
Well having a “Rosie” might be closer than you think thanks to a company called Aeolus Robotics. They unveiled their as of yet unnamed “maid” robot earlier this year. The child-sized robot can mop, pick up stuff off the floor, put dishes away, and even move furniture.
The robot isn’t just about cleaning, it can even make and bring you coffee if you so shall desire. It can recognize both voice and text commands so you can simply say “Mop the floor then bring me my coffee” and walla! The robot integrates with Alexa, Google Home, and other smart devices. The robot’s owner can use an app to interact with and monitor it’s activities, even being able to see the world exactly as the robot does.
Artificial intelligences are promising in future societies, and neural networks are typical technologies with the advantages such as self-organization, self-learning, parallel distributed computing, and fault tolerance, but their size and power consumption are large. Neuromorphic systems are biomimetic systems from the hardware level, with the same advantages as living brains, especially compact size, low power, and robust operation, but some well-known ones are non-optimized systems, so the above benefits are only partially gained, for example, machine learning is processed elsewhere to download fixed parameters. To solve these problems, we are researching neuromorphic systems from various viewpoints. In this study, a neuromorphic chip integrated with a large-scale integration circuit (LSI) and amorphous-metal-oxide semiconductor (AOS) thin-film synapse devices has been developed.
The study found that if such a system were put in place nationwide, 94 percent of human operator hours may be affected, which could account for as many as 500,000 jobs.
In a situation where automation is restricted only to Sun Belt states, as rough weather poses a challenge to automation, about 10 percent of worker operator hours will be affected. If automation is deployed nationwide only during the spring and summer months, about half the nation’s trucking hours could go driverless.
“I think the most surprising thing there was that everyone we spoke to basically said ‘yeah, this can be done,’” Vaishnav said.
NVIDIA says their 3D scene rendering AI runs up to 1,000 times faster than older models without sacrificing image quality.