In today’s episode of Cutting Edge, Lee Pierson, Bob Stubblefield & Steve Richins will be joined by special guest Trent Fowler to discuss the topic of Singularity.
Artificial General Intelligence or short AGI was commonly referred as Strong AI. The continues advancements in robotics are also spurring the development of AGI. Currently we only have narrow AI or weak AI. But robots are paving the way for strong AI. In the future, robots might possibly become smarter than us or at least, reach human level intelligence. The field of robotics has seen many improvements over the years, as artificial intelligence systems continue to get better. Machine intelligence is a trendy topic among computer scientists and other relevant researchers on the field. As robots continue to get better, concerns for the rise of a superintelligence or an artificial general intelligence that could have different goals from ours, is increasingly getting the attention of computer scientists and lay people alike. We have often seen works of science fiction where robots and AGI have malicious intent. However, things could go really bad fur us even if initially these intelligent machines are programmed to obey human orders and follow our values. As a machine continues to improve itself by modifying it’s own source code, it could lead to an intelligence explosion. A point of time often referred as a technological singularity. Where it becomes hard if not impossible to predict future trajectories of the AI in question. As of the year 2017, there are over 40 organizations focused on the development of AGI. As we’ve said many times before, today’s AI is narrow. However the field of robotics is accelerating the rise of AGI and we will possibly witness a truly general AI in our lifetimes.
Article originally published on LINKtoLEADERS under the Portuguese title “Sem saber ler nem escrever!”
In the 80s, “with no knowledge, only intuition”, I discovered the world of computing. I believed computers could do everything, as if it were an electronic God. But when I asked the TIMEX Sinclair 1000 to draw the planet Saturn — I am fascinated by this planet, maybe because it has rings —, I only glimpse a strange message on the black and white TV:
Excerpt from an interview by Rich Roll to Peter Diamandis, founder and executive officer of XPrize Foundation, co-founder of Singularity University in Silicon Valley, CA., three-time best selling author, public speaker, philanthropist, and prolific investor.
Peter Diamandis has started over 20 companies in the areas of longevity, space, venture capital and education.
This video covers the world in 3,000 and its future technologies. Watch this next video about the world in 10,000 A.D.: bit.ly/373KvDr. ► Support This Channel: https://www.patreon.com/futurebusinesstech. ► Udacity: Up To 75% Off All Courses (Biggest Discount Ever): https://bit.ly/3j9pIRZ ► Brilliant: Learn Science And Math Interactively (20% Off): https://bit.ly/3HAznLL ► Jasper AI: Write 5x Faster With Artificial Intelligence: https://bit.ly/3MIPSYp.
https://www.timventura.com — Martin Ciupa discusses the existential risks and unintended consequences of AI superintelligence and the Singularity, along with concerns about AI augmentation through Neuralink. We also explore the philosophical underpinnings of The Singularity and how it fulfills a long-standing human need for transcendence in a technologically advanced society.
Martin Ciupa is a subject matter expert on artificial intelligence. Martin is the CEO of Remoscope Inc, an AI-based Telehealth startup, and an advisor & consultant to Mindmaze, a Unicorn Neurotech company focuses on applying advanced neuroscience to everyday life. Martin has decades of experience in computing and artificial intelligence, PhD studies in AI, and a Master’s Degree in Cybernetics. He joins us today to discuss AI Superintelligence and the Singularity.
Ray Kurzweil predicted Technological Singularity nearly 20 years ago. Elon Musk could enable a world of economic abundance with real world AI. Robotaxi and Teslabot will transform the world more than car and the first industrial revolution.
Tesla sells Model Ys for about $60000, but it currently costs them about $30000–40000 to make them. A Teslabot is 1/30th of the mass of a Model Y. It will use 1/30th of the batteries. The software is an overall cost of development. If billions of bots are produced then the cost would trend toward the cost of the hardware plus Apple iPhone-like margins including the software (say 40% gross margin). At Model Y cost of $30k then the hardware cost for Teslabot will go to $1000. $2000 with margins and software. A bot can work for 8,000 hours in a year. 8,760 hours in a year. $2000 divided by 8,000 hours is $0.25. If you add 10 cents per hour for electricity then it is $0.35 per hour. Going beyond that is bots can work in the factory and work cheaper than humans. Currently 15,000 workers in Tesla China factory. Replace all of them with $0.35 per hour bots. Reduce labor cost component. If a lot of bots can increase production rates. by 2X then all costs spread over more units. Bot-produced solar and batteries can lower the cost of energy by vastly increasing the supply. Those trends could get us to $500‑1000 per bot costs and lower energy costs. Having virtually unlimited labor costing less than 35 cents per hour will be transformational.
The concept or idea of a multiverse fascinates physicists’ as much as sci-fi fans, but if science was able to prove it exists, could every type of universe within it actually be predicted? The late Stephen Hawking believed there was a way to shed light on this strangest cosmic mystery.
Hawking’s final paper, published in the journal High-Energy Physics revisits one of his earlier (and no less mind-blowing) theories. The “no-boundary proposal” considers Einstein’s suggestion that the pre-Big Bang universe was a singularity, an extremely dense and hot micro-speck of matter where the laws of physics didn’t apply. Hawking speculated that time as we know it was nonexistent in this singularity, which had no beginning and no end—infinite and spherical rather than finite and linear. The embryonic universe is thought to have expanded rapidly and spawned parallel worlds during a period known as cosmic inflation.
