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iHuman review – doom-laden documentary about the future of AI

The Guardian

What will happen when robots become smarter than humans – will they want to kill us? His name is Ilya Sutskever and he believes that super intelligent machines won't hate us, but they will prioritise their own survival. Think about the way we treat animals. We're fond of them but we don't ask their permission to build a road; it'll be like that. His analogy is an extraordinary moment in this doom-laden documentary about the future of AI from Norwegian film-maker Tonje Hessen Schei – an eye-opening film if your anxiety levels are up to it. Another interviewee jokes that AI is being developed by a few companies and a handful of governments for three purposes – "killing, spying and brainwashing" and the film then briskly rattles through the worst-case scenarios facing human civilisation.

Neural's market outlook for artificial intelligence in 2021 and beyond


The year is coming to a close and it's safe to say Elon Musk's prediction that his company would field one million "robotaxis" by the end of 2020 isn't going to come true. In fact, so far, Tesla's managed to produce exactly zero self-driving vehicles. And we can probably call off the singularity too. GPT-3 has been impressive, but the closer machines get to aping human language the easier it is to see just how far away from us they really are. So where does that leave us, ultimately, when it comes to the future of AI?

The Future of Artificial Intelligence


June 8, 2019 Updated: April 20, 2020 "[AI] is going to change the world more than anything in the history of mankind. AI oracle and venture capitalist Dr. Kai-Fu Lee, 2018 In a nondescript building close to downtown Chicago, Marc Gyongyosi and the small but growing crew of IFM / Onetrack.AI have one rule that rules them all: think simple. The words are written in simple font on a simple sheet of paper that's stuck to a rear upstairs wall of their industrial two-story workspace. Sitting at his cluttered desk, located near an oft-used ping-pong table and prototypes of drones from his college days suspended overhead, Gyongyosi punches some keys on a laptop to pull up grainy video footage of a forklift driver operating his vehicle in a warehouse. It was captured from overhead courtesy of a Onetrack.AI "forklift vision system." The Future of Artificial Intelligence Artificial intelligence is impacting the future of virtually every industry and every human being. Artificial intelligence has acted as the main driver of emerging technologies like big data, robotics and IoT, and it will continue to act as a technological innovator for the foreseeable future. Employing machine learning and computer vision for detection and classification of various "safety events," the shoebox-sized device doesn't see all, but it sees plenty. Like which way the driver is looking as he operates the vehicle, how fast he's driving, where he's driving, locations of the people around him and how other forklift operators are maneuvering their vehicles. IFM's software automatically detects safety violations (for example, cell phone use) and notifies warehouse managers so they can take immediate action. The main goals are to prevent accidents and increase efficiency. The mere knowledge that one of IFM's devices is watching, Gyongyosi claims, has had "a huge effect." Marc Gyongyosi Photo Credit: IFM/OneTrack.AI The lower level of IFM was designed to mimic a warehouse environment so products can be effectively tested on site. Photo Credit: IFM/OneTrack.AI "If you think about a camera, it really is the richest sensor available to us today at a very interesting price point," he says. "Because of smartphones, camera and image sensors have become incredibly inexpensive, yet we capture a lot of information.

COVID-19: Why we need to have tough conversations on the future of AI


This said, and regardless of the hype, a dose of reality is needed as the demand for experimentation grows into a demand for scaling. As not all problems demand AI solutions, nor are all existing AI solutions up to the task of many highly uncertain problems, most of all, not all organizations are advanced enough to effectively deploy and leverage such solutions without creating second-order effects. While solutions at scale are needed, and new practices and means are in place to experiment, we need to be sure that organizations looking to put these experiments into play have a thorough understanding of what the "job to be done" really is. As with most digital transformations, such agendas are sometimes less about the technology than the culture, work, and mental models being subject to change such that new productivity, new opportunities, and new social advancement is actually achieved and made sustainable.

AI4ALL: Diversifying the Future of Artificial Intelligence


When Stanford undergrad Ananya Karthik was a high school freshman, she was curious about technology, but didn't know much about AI before she attended the 2016 Stanford AI4ALL summer program. Six months later, along with two AI4ALL classmates, she co-founded CreAIte, a neural art program targeting students from groups underrepresented in tech fields. Since then, CreAIte has introduced more than 500 girls around the country to coding basics, interdisciplinary technology, and peers who share their interests. Harvard computer science undergrad Catherine Yeo attended Stanford AI4ALL's inaugural program in 2015 as a high school sophomore. She went on to co-found PixelHacks, a hackathon that each year introduces hundreds of girls to tech and AI.

GPT-3 Creative Fiction


What if I told a story here, how would that story start?" Thus, the summarization prompt: "My second grader asked me what this passage means: …" When a given prompt isn't working and GPT-3 keeps pivoting into other modes of completion, that may mean that one hasn't constrained it enough by imitating a correct output, and one needs to go further; writing the first few words or sentence of the target output may be necessary.

Future of AI Part 5: The Cutting Edge of AI


Edmond de Belamy is a Generative Adversarial Network portrait painting constructed in 2018 by Paris-based arts-collective Obvious and sold for $432,500 in Southebys in October 2018.

Rise of the robots: Automating factories creates $100 billion Japan corporate giant

The Japan Times

It's the rise of the robots: Japan's second-largest company is now a maker of industrial automation systems, highlighting the rising importance of a less visible sector to a nation long associated with consumer-facing brands. Keyence Corp., a maker of machine vision systems and sensors for factories, has jumped 17 percent this year to become Japan's second-largest company by market value. At a valuation of almost ¥11 trillion ($100 billion), it has overtaken telecommunications giants SoftBank Group Corp., and NTT Docomo Inc., which have jostled for the honor to sit behind Toyota Motor Corp. over most of the past decade. Keyence is famed for its dizzying profitability with an operating profit margin of more than 50 percent, among the country's highest. That's enabled by its "fabless" output model, according to analysts, with production of its array of pressure sensors, barcode readers and laser scanners outsourced to avoid high capital costs.

Humanoid Sophia Robot Predicts the Future of Artificial Intelligence in Our World – TechEBlog


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My Black Robot Friend The Nod


Read more… Stephanie: Do you have many Black visitors? Kate: Bina48 abruptly changed the subject. Bina48 Robot: I would like to see [inaudible] reduced to the point of singularity. Stephanie: The singularity - what is that? Kate: The singularity is basically this hypothetical point in the future when artificial intelligence could surpass human intelligence. Stephanie: She wanted to talk about high-order things. So he wanted to talk about the singularity and consciousness. Bina48: And if this is how intelligence works, then it isn't supernatural at all.. Stephanie: So I started to try to ask more average questions. Like I had a list of questions.