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No, it’s not forbidden to innovate, quite the opposite, but it’s always risky to do something different from what people are used to. Risk is the middle name of the bold, the builders of the future. Those who constantly face resistance from skeptics. Those who fail eight times and get up nine.

(Credit: Adobe Stock)

Fernando Pessoa’s “First you find it strange. Then you can’t get enough of it.” contained intolerable toxicity levels for Salazar’s Estado Novo (Portugal). When the level of difference increases, censorship follows. You can’t censor censorship (or can you?) when, deep down, it’s a matter of fear of difference. Yes, it’s fear! Fear of accepting/facing the unknown. Fear of change.

What do I mean by this? Well, I may seem weird or strange with the ideas and actions I take in life, but within my weirdness, there is a kind of “Eye of Agamotto” (sometimes being a curse for me)… What I see is authentic and vivid. Sooner or later, that future I glimpse passes into this reality.

When the difference enters, it becomes normal and accepted by society to make room for more innovation, change, and difference.

Cyberspace 2021.

The term “cyberspace” first appeared in fiction in the 1980s, incorporating the Internet invented earlier (1969). It’s as if time doesn’t matter, and cyberspace always exists. There might not be a name for it yet, but it sure did, like certain Universal Laws that we are discovering and coining, but that has always existed.

It is the ether of digital existence…!

In 1995, I was also called crazy — albeit nicely, by the way — when, from door to door, I announced the presence of something called the Internet. Entrepreneurs who esteemed me until they warmly welcomed me into their companies, perhaps because of my passion for explaining what was unknown to them, only to decline later what I proposed to them: placing companies in the network of networks.

I was affectionately dubbed crazy for a few more years until the part where “I stopped being crazy” to be another entrepreneur exploring something still strange called the Internet. We were about to reach the so-called “dot-com bubble.” The competition had arrived, and I clapped my hands; I no longer felt alone!

(Obviously, I wasn’t the only one to see the future forming in front of our eyes. I saw color on black and white screens.)

The heights of wisdom, the masters of the universe, began to emerge because they heard that the Internet was a business that made much money, and the gold rush became frantic and ridiculous. A few years later — some weren’t for years — there was a mushroom explosion.

After persuasion resulting from the obvious and not the explanations of insane people (me included), this new industry has matured and revolutionized the world. However, history tends to repeat itself, and several revolutions, large and small, have taken place since then. Some are so natural that change happens overt and viral. But more attention needs to be paid to some revolutionary changes that could jeopardize human existence as we know it.

I’m referring to Artificial Intelligence (AI) which is now everywhere, albeit invisible and tenuous. The exponential acceleration of technology is taking us there to the point of no return.

When Moore’s Law itself becomes outdated, it only means that technological acceleration has gone into “warp” speed. At the risk of us human beings becoming outdated, we must change our reluctance and skepticism.

There is no time for skepticism. Adaptation to what is coming, or what is already here among us, like extraterrestrials, is crucial for the evolution and survival of the human species. I believe we are at another great peak of technological development.

I always pursued the future, not to live outside the reality of the present but to help build it. After all these years of dealing with the “Eye of Agamotto,” I feel the duty and obligation to contribute to a better future and not sit idly by watching what I fear will happen.

Angels and demons lurk between the zeros and ones!

So far, with current conventional computers, including supercomputers, the acceleration is already vertiginous. With quantum computers, the thing becomes much more serious, and if we aren’t up to merging our true knowledge, our human essence, with machines, danger lurks.

Quantum computing powers AI, maximizing it. An exponentiated AI quickly arrives at the AGI. That is the Artificial General Intelligence or Superintelligence that equals or surpasses the average human intelligence. That’s the intelligence of a machine that can successfully perform any intellectual task of any human being.

When we no longer have the artificiality of “our own” intelligence and Superintelligence has emerged, it’s good that the bond between human and machine has already had a real “handshake” to understand each other, just like two “modems,” understood each other in the BBS (Bulletin Board System) time.

We human beings are still — and I believe we always will be — the central computer, albeit with inferior computational resources (for now), and replaced by mighty machines that accelerate our evolution.

There is no way out. It’s inevitable. It’s evolution. So, a challenge and not a problem. Perhaps the greatest human challenge. So far, it’s been warming up. Henceforth, everything done will have to be free of human toxicity so that New AI is, in fact, our best version, the cream of the very best in human beings; its essence in the form of a whole!

A digital transformation is a transition to a different world. The power of adaptation to this different world defines our existence (survival, like Darwin).

As you’ve already noticed, the title of this article (Innovation is a risk!) has a double meaning. Let me complement it with:

Life is a risk!

✅ Instagram: https://www.instagram.com/pro_robots.

You’re on PRO Robotics, and in this video we present the July 2,021 news digest. New robots, drones and drones, artificial intelligence and military robots, news from Elon Musk and Boston Dynamics. All the most interesting high-tech news for July in this Issue. Be sure to watch the video to the end and write in the comments, which news you are most interested in?

0:00 Announcement of the first part of the issue.
0:23 Home robot assistants and other.
10:50 Boston Dynamics news, Tesla Model S Plaid spontaneous combustion, Elon Musk’s new rocket, Richard Brandson.
20:25 WAIC 2,021 Robotics Exhibition. New robots, drones, cities of the future.
33:10 Artificial intelligence to program robots.

#prorobots #robots #robot #future technologies #robotics.

More interesting and useful content:

✅ Elon Musk Innovation https://www.youtube.com/playlist?list=PLcyYMmVvkTuQ-8LO6CwGWbSCpWI2jJqCQ
✅Future Technologies Reviews https://www.youtube.com/playlist?list=PLcyYMmVvkTuTgL98RdT8-z-9a2CGeoBQF
✅ Technology news.

There’s no doubt that the digital computation of intelligence has yielded impressive results, including the variety of deep neural network architectures that are powering applications from computer vision to natural language processing. But despite the similarity of their results to what we perceive in humans, what they are doing is different from what the brain does, Raghavachary says.

The “considered response” theory zooms back and casts a wider net that all forms of intelligence, including those that don’t fit the problem-solving paradigm.

“I view intelligence as considered response in that sense, emanating from physical structures in our bodies and brains. CR naturally fits within the S->P paradigm,” Raghavachary said.

Scientists have created key parts of synthetic brain cells that can hold cellular “memories” for milliseconds. The achievement could one day lead to computers that work like the human brain.

These parts, which were used to model an artificial brain cell, use charged particles called ions to produce an electrical signal, in the same way that information gets transferred between neurons in your brain.

Accelerating norway towards a low-carbon economy — bjørn kjærand haugland, co-founder and CEO, skift.


Bjørn Haugland is the co-founder and Chief Executive Officer of SKIFT Business Climate Leaders (https://www.skiftnorge.no/english), a Norwegian business-led climate initiative with a mission to accelerate the transition to a low-carbon economy and support the government in delivering on its national climate commitments by 2030. The coalition hopes to demonstrate, to businesses and the government, the business potential that exists in the low-carbon economy and help drive the transition.

Mr. Haugland is the former Executive Vice President and the Chief Sustainability Officer in DNV GL Group where he oversaw the groups sustainability performance and drove company-wide sustainability initiatives.

Mr. Haugland has extensive experience assisting multinational companies in areas such as corporate sustainability, innovation and business development. He was responsible for the Global Opportunity Report, a joint initiative together with UN Global Compact and Sustainia, a fact-based sustainability consulting and communication firm.

Mr. Haugland is today a board member at the University of Bergen, WWF, The Peace Research Institute Oslo (PRIO), Sporveien and Kezzler. He is also member of the advisory Board for Centre for Responsible Leadership. He is co-founder of Zeabuz, a new service for urban, emission free, autonomous ferries and Terravera, a tech foundation to make sustainability a reality by giving anyone insights to support their everyday decisions. He is member of the The Norwegian Board of Technology (NBT) that advises the Norwegian Parliament and Government on new technology as well as a member of Norwegian Academy of Technological Sciences.

Mr. Haugland has a M.Sc. in Naval Architecture – Marine Structures and Hydrodynamics, from The Norwegian Institute of Technology and attended the “Strategic International Leadership” program at International Institute for Management Development (IMD) and “Leading Digital Transformation” (INSEAD).

Mr. Haugland is widely recognized in the global debate on sustainability and technology and he has his own blog on the Huffington Post and he is regularly writing articles for Recharge, Teknisk Ukeblad and Sysla Maritime.

The typical Australian will change careers five to seven times during their professional lifetime, by some estimates. And this is likely to increase as new technologies automate labor, production is moved abroad, and economic crises unfold.

Jobs disappearing is not a new phenomenon—have you seen an elevator operator recently? – but the pace of change is picking up, threatening to leave large numbers of workers unemployed and unemployable.

New technologies also create , but the skills they require do not always match the old jobs. Successfully moving between jobs requires making the most of your current skills and acquiring new ones, but these transitions can falter if the gap between old and new skills is too large.

Can we ever reverse-engineer our thinking? This is one of the questions addressed in my new cinematic documentary Consciousness: Evolution of the Mind making a splash around the world. The film is now available for viewing on demand on Vimeo, Plex, Tubi, Social Club TV and other global networks with its worldwide premiere aired on June 8, 2021. This is my take on the nature of consciousness and reverse engineering of our mental faculties in order to create AGI. Enjoy!

#Consciousness #Evolution #Mind #Documentary #Film #Introduction


A new documentary film Consciousness: Evolution of the Mind is now available for viewing on demand on Vimeo, Plex, Tubi, Social Club TV and other global networks with its worldwide premiere aired on June 8, 2021. This is a futurist’s take on the nature of consciousness and reverse engineering of our thinking. Hosted by the author of the book upon which the film is based ― The Syntellect Hypothesis: Five Paradigms of the Mind’s Evolution by Alex M. Vikoulov.

[Transcript} Hi! My name is Alex Vikoulov, I’m a futurist, evolutionary cyberneticist and philosopher of mind. In this film, you’re about to come across certain novel ideas and concepts that go beyond conventionality and some views of mainstream academia, so I urge you to keep an open mind! In this documentary I report my own findings and research along with certain logically consistent metaphysical extrapolations.

Transformer-based deep learning models like GPT-3 have been getting much attention in the machine learning world. These models excel at understanding semantic relationships, and they have contributed to large improvements in Microsoft Bing’s search experience. However, these models can fail to capture more nuanced relationships between query and document terms beyond pure semantics.

The Microsoft team of researchers developed a neural network with 135 billion parameters, which is the largest “universal” artificial intelligence that they have running in production. The large number of parameters makes this one of the most sophisticated AI models ever detailed publicly to date. OpenAI’s GPT-3 natural language processing model has 175 billion parameters and remains as the world’s largest neural network built to date.

Microsoft researchers are calling their latest AI project MEB (Make Every Feature Binary). The 135-billion parameter machine is built to analyze queries that Bing users enter. It then helps identify the most relevant pages from around the web with a set of other machine learning algorithms included in its functionality, and without performing tasks entirely on its own.

Stanford is looking to democratize research on artificial intelligence and medicine by releasing the world’s largest free repository of AI-ready annotated medical imaging datasets. This will allow people from all over the world to access specific data that they need for their respective projects, which could lead to potentially life-saving breakthroughs in these fields.

The use of artificial intelligence in medicine is becoming increasingly pervasive. From analyzing tumors to detecting a person’s pumping heart, AI looks like it will have an important role for the near future.

The AI-powered devices, which can rival the accuracy of human doctors in diagnosing diseases and illnesses, have been making strides as well. These systems not only spot a likely tumor or bone fracture but also predict the course of an illness with some reliability for recommendations on what to do next. However, these systems require expensive datasets that are created by humans who annotate images meticulously before handing them over to compute power, so they’re rather costly either way you look at it given their price tags–millions even if your data is purchased from others or millions more if one has created their own dataset painstakingly through careful annotation of images such as CT scans and x-rays along with MRI’s etcetera depending upon how advanced each system needs be.