Still, the loudest voices in Silicon Valley often discuss those trickier problems as if they were just another smartphone app. “The age of mobile and cloud computing has created so many new business opportunities,” Dr. If scientists merely try to read information from these quantum systems, they tend to break. This is a machine that defies the physics of everyday life.Ī quantum computer relies on the strange ways that some objects behave at the subatomic level or when exposed to extreme cold, like metal chilled to nearly 460 degrees below zero. Jake Taylor, who oversaw quantum computing efforts for the White House and is now chief science officer at the quantum start-up Riverlane, said building a quantum computer might be the most difficult task ever undertaken. “Imagine the economic impact of the pandemic had there not been the infrastructure - the hardware and the software - that allowed so many white-collar workers to work from home and so many other parts of the economy to be conducted in a digitally mediated way,” said Margaret O’Mara, a professor at the University of Washington who specializes in the history of Silicon Valley.Īs for the next big thing, the big thinkers say, give it time. The great wealth generated by the industry in recent years has generally been thanks to ideas, like the iPhone and mobile apps, that arrived years ago. But in recent years, the tech industry’s critics have noticed that its biggest promises - the ideas that really could change the world - seem further and further on the horizon. Silicon Valley’s hype machine has long been accused of churning ahead of reality. The world is also waiting for self-driving cars, flying cars, advanced artificial intelligence and brain implants that will let you control your computing devices using nothing but your thoughts. And it will most likely wait much longer. Harnessing the mysterious powers of quantum mechanics, Google had built a computer that needed only three minutes and 20 seconds to perform a calculation that normal computers couldn’t complete in 10,000 years.īut more than two years after Google’s announcement, the world is still waiting for a quantum computer that actually does something useful. It was a significant scientific milestone that some compared to the first flight at Kitty Hawk. An immensely complex, self-organizing and decentralized system, it is to process data-information-knowledge, make decisions, solve problems, learn new connections, discover new ideas, etc, playing the role of a collective nervous system for the whole of humanity”.In the fall of 2019, Google told the world it had reached “quantum supremacy.” Human collective intelligence is an emergent property from the synergies among: 1) data-information-knowledge 2) software-hardware and 3) experts (those with new insights as well as recognized authorities) learning from feedback loops of reinforcement learning. Collective intelligence - WikipediaĪSI also covers the "global brain" as the emerging intelligent network formed by all people on this planet, together with the computers and communication links that connect them together.
Kiryl Persianov's answer to Is AGI possible?ĪSI is now emerging as the universally distributed hybrid human-digital global intelligence, driven by digital ontology, global data platform, master algorithms, AutoML/DL platforms, 5G, to be implemented as AI Internet.ĪSI embraces Human Individual and Collective intelligence (CI), a group intelligence that emerges from the collaboration, collective efforts, and competition of human minds, used in sociobiology, political science, crowdsourcing applications, social media, etc. The next big thing is the fusion of exponential technologies, as the top techno-human convergence of human-cyber-physical systems, titled as Artificial Superintelligence (ASI) as succeeding AGI. The viable and sustainable solutions of the world’s most complex problems can be found at the intersection of exponential technologies. The next really big thing is not some sample of exponential technologies, as different experts like to recall: ML/DL, quantum computer, additive manufacturing, augmented and virtual reality (AR, VR), digital biology and biotech, data science, smart medical tech, nanotech, robotics, autonomous vehicles, etc…Įxponential Technology | Deloitte Insights