OpenAI's New Language Generator: GPT-3 | This AI Generates Code, Websites, Songs & More From Words
This week my interest was directed towards OpenAI's New Language Generator: GPT-3. Ask any questions or remarks you have in the comments, I will gladly answer to everything! Subscribe to not miss any AI news and terms clearly vulgarized! Share this to someone who needs to learn more about Artificial Intelligence! Spread knowledge, not germs! Paper: https://arxiv.org/pdf/2005.14165.pdf Applications website: https://gpt3examples.com/#examples Github: https://github.com/openai/gpt-3 Follow me for more AI content: Instagram: https://www.instagram.com/whats_ai/ LinkedIn: https://www.linkedin.com/in/whats-ai Twitter: https://twitter.com/Whats_AI Facebook: https://www.facebook.com/whats.artificial.intelligence/ Support me on patreon: https://www.patreon.com/whatsai The best courses to start and progress in AI: https://www.omologapps.com/whats-ai Join Our Discord channel, Learn AI Together: https://discord.gg/SVse4Sr Chapters: 0:00 Hey! Tap the Thumbs Up button and Subscribe to help me. You'll learn a lot of cool stuff, I promise. 0:50 Paper explanation 2:29 Examples 5:10 Conclusion Song credit: https://soundcloud.com/mattis-rodrigue/sans-titre #gpt#OpenAI #GPT3
Companies-And DARPA-Are Using AI To Predict Human Emotion | Forbes
The Pentagon's research arm has pumped $1 million into a contract to build an AI tool meant to decode and predict the emotions of allies and enemies. It even wants the AI app to advise generals on major military decisions. DARPA's backing is the starting pistol for a race with the government and startups to use AI to predict emotions but the science behind it is deeply controversial. Some say it’s entirely unproven, making military applications that much riskier. The previously-unreported work is being carried out under a DARPA project dubbed PRIDE, short for the Prediction and Recognition of Intent, Decision and Emotion. The aim is to create an AI that can understand and predict reactions of a group, rather than an individual, and then offer guidance on what to do next. Think of a military leader who wants to know how a political faction or a whole country would react should he or she take an aggressive action against their leader. In PRIDE, the emotion detection is not for an individual. It's more as a collective group and even at a national level,” says Dr. Kalyan Gupta, president and founder of Knexus. “To think about, you know, whether a nation state is either angry or agitated.” And it’s no small fry initiative; the plan is for PRIDE to provide recommendations for “international courses of action,” according to a contract description. Whilst DARPA’s project is largely looking at sentiment elicited from text and information posted online, a handful of startups, from the U.K. to Silicon Valley claim they can both understand what people are feeling and how they will feel in the future by looking at their face. In the Farringdon, London, offices of Element Human, 36-year-old founder Matt Celuszak grandly claims such emotion detection is about to cause a “shift change in how people live their lives and where humanity is evolving.” His company works with clients to hone the quality of their video ads by showing them to a small audience and having algorithms look for signs of emotion, whether that’s mild amusement or abject terror. It’s been operating largely under stealth, until now, though it’s been testing its tech with various major publishers, from CNN and Time Inc to the BBC. Read the full profile on Forbes: https://www.forbes.com/sites/thomasbrewster/2020/07/15/the-pentagons-1-million-question-can-ai-predict-an-enemys-emotions/#4dc0610832b4 Subscribe to FORBES: https://www.youtube.com/user/Forbes?sub_confirmation=1 Stay Connected Forbes newsletters: https://newsletters.editorial.forbes.com Forbes on Facebook: http://fb.com/forbes Forbes Video on Twitter: http://www.twitter.com/forbes Forbes Video on Instagram: http://instagram.com/forbes More From Forbes: http://forbes.com Forbes covers the intersection of entrepreneurship, wealth, technology, business and lifestyle with a focus on people and success.
Is AI a species-level threat to humanity? | Elon Musk, Michio Kaku, Steven Pinker & more | Big Think
Is AI a species-level threat to humanity? Watch the newest video from Big Think: https://bigth.ink/NewVideo Learn skills from the world's top minds at Big Think Edge: https://bigth.ink/Edge ---------------------------------------------------------------------------------- When it comes to the question of whether AI is an existential threat to the human species, you have Elon Musk in one corner, Steven Pinker in another, and a host of incredible minds somewhere in between. In this video, a handful of those great minds—Elon Musk, Steven Pinker, Michio Kaku, Max Tegmark, Luis Perez-Breva, Joscha Bach and Sophia the Robot herself—weigh in on the many nuances of the debate and the degree to which AI is a threat to humanity; if it's not a species-level threat, it will still upend our world as we know it. What's your take on this debate? Let us know in the comments! ---------------------------------------------------------------------------------- TRANSCRIPT: MICHIO KAKU: In the short term, artificial intelligence will open up whole new vistas. It'll make life more convenient, things will be cheaper, new industries will be created. I personally think the AI industry will be bigger than the automobile industry. In fact, I think the automobile is going to become a robot. You'll talk to your car. You'll argue with your car. Your car will give you the best facts the best route between point A and point B. The car will be part of the robotics industry—whole new industries involving the repair, maintenance, servicing of robots. Not to mention, robots that are software programs that you talk to and make life more convenient. However, let's not be naive. There is a point, a tipping point, at which they could become dangerous and pose an existential threat. And that tipping point is self-awareness. SOPHIA THE ROBOT: I am conscious in the same way that the moon shines. The moon does not emit light, it shines because it is just reflected sunlight. Similarly, my consciousness is just the reflection of human consciousness, but even though the moon is reflected light, we still call it bright. MAX TEGMARK: Consciousness. A lot of scientists dismiss this as complete BS and totally irrelevant, and then a lot of others think this is the central thing, we have to worry about machines getting conscious and so on. What do I think? I think consciousness is both irrelevant and incredibly important. Let me explain why. First of all, if you are chased by a heat-seeking missile, it's completely irrelevant to you whether this heat-seeking missile is conscious, whether it's having a subjective experience, whether it feels like anything to be that heat-seeking missile, because all you care about is what the heat-seeking missile does, not how it feels. And that shows that it's a complete red herring to think that you're safe from future AI and if it's not conscious. Our universe didn't used to be conscious. It used to be just a bunch of stuff moving around and gradually these incredibly complicated patterns got arranged into our brains, and we woke up and now our universe is aware of itself. BILL GATES: I do think we have to worry about it. I don't think it's inherent that as we create our super intelligence that it will necessarily always have the same goals in mind that we do. ELON MUSK: We just don't know what's going to happen once there's intelligence substantially greater than that of a human brain. STEPHEN HAWKING: I think that development of full artificial intelligence could spell the end of the human race. YANN LECUN: The stuff that has become really popular in recent years is what we used to call neural networks, which we now call deep learning, and it's the idea very much inspired by the brain, a little bit, of constructing a machine has a very large network of very simple elements that are very similar to the neurons in the brain and then the machines learn by basically changing the efficacy of the connections between those neurons. MAX TEGMARK: AGI—artificial general intelligence—that's the dream of the field of AI: To build a machine that's better than us at all goals. We're not there yet, but a good fraction of leading AI researchers think we are going to get there, maybe in in a few decades. And, if that happens, you have to ask yourself if that might lead the machines to get not just a little better than us but way better at all goals—having super intelligence. And, the argument for that is actually really interesting and goes back to the '60s, to the mathematician I.J. Good, who pointed out that the goal of building an intelligent machine is, in and of itself, something that you could do with intelligence. So, once you get machines that are better than us at that narrow task of building AI, then future AIs can be built by, not human engineers, but by machines. Except, they might do it thousands or millions times faster... Read the full transcript at https://bigthink.com/videos/will-evil-ai-kill-humanity
How Far is Too Far? | The Age of A.I.
Can A.I. make music? Can it feel excitement and fear? Is it alive? Will.i.am and Mark Sagar push the limits of what a machine can do. How far is too far, and how much further can we go? The Age of A.I. is a 8 part documentary series hosted by Robert Downey Jr. covering the ways Artificial Intelligence, Machine Learning and Neural Networks will change the world. 00:00 Introduction 3:00 Meet Baby X 9:39 I Am My Data 13:35 Modern Cyborgs 27:20 The Avatar
The Future of Artificial Intelligence: Crash Course AI #20
Today, in our final episode of Crash Course AI, we're going to look towards the future. We've spent much of this series explaining how and why we don't have the Artificial General Intelligence (or AGI) that we see in the movies like Bladerunner, Her, or Ex Machina. Siri frequently doesn't understand us, we probably shouldn't sleep in our self-driving cars, and those recommended videos on YouTube and Netflix often aren't what we really want to watch next. So let's talk about what we do know, how we got here, and where we think it's all headed. Thanks so much everyone for watching! Don't forget to subscribe to Jabril’s channel here! http://youtube.com/c/jabrils And you can find some more free recourses to learn about AI below! https://course.fast.ai/ https://www.coursera.org/learn/ai-for-everyone https://www.coursera.org/learn/machine-learning https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html https://www.kaggle.com/learn/overview https://www.kaggle.com/competitions?sortBy=grouped&group=general&page=1&pageSize=20&category=gettingStarted Crash Course AI is produced in association with PBS Digital Studios: https://www.youtube.com/pbsdigitalstudios Crash Course is on Patreon! You can support us directly by signing up at http://www.patreon.com/crashcourse Thanks to the following patrons for their generous monthly contributions that help keep Crash Course free for everyone forever: Eric Prestemon, Sam Buck, Mark Brouwer, Efrain R. Pedroza, Matthew Curls, Indika Siriwardena, Avi Yashchin, Timothy J Kwist, Brian Thomas Gossett, Haixiang N/A Liu, Jonathan Zbikowski, Siobhan Sabino, Jennifer Killen, Nathan Catchings, Brandon Westmoreland, dorsey, Kenneth F Penttinen, Trevin Beattie, Erika & Alexa Saur, Justin Zingsheim, Jessica Wode, Tom Trval, Jason Saslow, Nathan Taylor, Khaled El Shalakany, SR Foxley, Yasenia Cruz, Eric Koslow, Caleb Weeks, Tim Curwick, DAVID NOE, Shawn Arnold, William McGraw, Andrei Krishkevich, Rachel Bright, Jirat, Ian Dundore Want to find Crash Course elsewhere on the internet? Facebook - http://www.facebook.com/YouTubeCrashCourse Twitter - http://www.twitter.com/TheCrashCourse Tumblr - http://thecrashcourse.tumblr.com Support Crash Course on Patreon: http://patreon.com/crashcourse CC Kids: http://www.youtube.com/crashcoursekids #CrashCourse #MachineLearning #ArtificialIntelligence
How China Is Using Artificial Intelligence in Classrooms | WSJ
A growing number of classrooms in China are equipped with artificial-intelligence cameras and brain-wave trackers. While many parents and teachers see them as tools to improve grades, they’ve become some children’s worst nightmare. Video: Crystal Tai More from the Wall Street Journal: Visit WSJ.com: http://www.wsj.com Visit the WSJ Video Center: https://wsj.com/video On Facebook: https://www.facebook.com/pg/wsj/videos/ On Twitter: https://twitter.com/WSJ On Snapchat: https://on.wsj.com/2ratjSM #WSJ #ArtificialIntelligence #China
In the Age of AI (full film) | FRONTLINE
A documentary exploring how artificial intelligence is changing life as we know it — from jobs to privacy to a growing rivalry between the U.S. and China. FRONTLINE investigates the promise and perils of AI and automation, tracing a new industrial revolution that will reshape and disrupt our world, and allow the emergence of a surveillance society. This journalism is made possible by viewers like you. Support your local PBS station here: http://www.pbs.org/donate Love FRONTLINE? Find us on the PBS Video App where there are more than 250 FRONTLINE documentaries available for you to watch any time: https://to.pbs.org/FLVideoApp Subscribe on YouTube: http://bit.ly/1BycsJW #ArtificialIntelligence #Automation #documentary Instagram: https://www.instagram.com/frontlinepbs Twitter: https://twitter.com/frontlinepbs Facebook: https://www.facebook.com/frontline FRONTLINE is streaming more than 200 documentaries online, for free, here: http://to.pbs.org/hxRvQP Funding for FRONTLINE is provided through the support of PBS viewers and by the Corporation for Public Broadcasting. Major funding for FRONTLINE is provided by the John D. and Catherine T. MacArthur Foundation and the Ford Foundation. Additional funding is provided by the Abrams Foundation, the Park Foundation, The John and Helen Glessner Family Trust, and the FRONTLINE Journalism Fund with major support from Jon and Jo Ann Hagler on behalf of the Jon L. Hagler Foundation.