The future is only a path. You must become its highest good destination for the betterment of God’s creation. And in a world of elusive mystery, one thing is certain—the future will bring us many good and true gifts and it will also bring us many sorrows and snares. By making educated visionary predictions of our future, we can better shape a more desirable highest good and peaceable outcome. The following predictions are what we sense the natural future may hold considering the current trajectory of technological advancement and its effects on society. These naturalistic predictions primarily lie within the spheres of technology and AI. And it was with the help of an AGI (Artificial General Intelligence) algorithm that helped to make certain of these predictions possible.
First, the future can be classified in matters of the lengths of the time gaps which extend out from the present, and we call this the FPG (Future Postponement Gap). We have classified the FPG into four primary categories:
a) the near future (~0 - 5 years)
b) the not-too-distant future (~6 - 10 years)
c) the distant future (~10 - 20 years)
d) the deep future (20+ years)
Now, provided that there are no apocalypses, or cataclysmic judgments on global scales, or world wars, or mass genocides, and God’s wrath has still tarried, then it is highly probable that we will see the following naturalistic events and inventions come onto the scene of our upcoming reality:
Prediction 1: The majority of the world will be able to communicate in a common language.
In a world where all people can communicate with each other, we believe that an unbounded exchange of ideas will allow for more learning and advancement between countries that would not have been possible otherwise. This common language to communicate these ideas within our future will likely be English, which has the largest user base internationally currently and is becoming increasingly so. Language barriers are now much less significant than they were even ten years ago due to countries integrating more English lessons into their schools. This is due to English being dubbed the ‘International Business Lingua Franca’ of our day. Perhaps sometime in the distant future, the author holds that the International Lingua Franca will be a stylized form of a Neo-Paleo Biblical Hebrew script.
Prediction 2: There will be a gradual reduction in income disparity between countries.
This will largely be due to overcoming language barriers, and bridging the communication gaps and hence, increasing trade and idea exchange, as well as making an abundance of available free education and exchange of knowledge. And in recent decades this is made possible due to the rapid globalization of advanced technology, e-commerce, and cultural trends. In particular, the ability to connect with people across the globe due to bridging communication gaps, enabling an abundance of various ways to obtain cross-cultural knowledge allowing for access to opportunity that was previously unavailable. The result is that this will bring income disparity reduction between countries and a more even balancing out of a country’s economic growth rate amidst thriving global economies as the poorer economies continue to open themselves up to the universal free market.
Prediction 3: By around 2022, AGI (Artificial General Intelligence) will be able to create entire movies by a mere few words of descriptive input. This AGI will also be able to conduct technical research.
GPT-3 is one such AGI, whose third model version was released in 2020. The original GPT was first developed by OpenAI in 2018, and was designed to be a generic “text-in/ text-out” interface, which allow users to test it on nearly any English language task. The third model has 175 billion parameters and has attained to AGI status. It can respond from a text prompt with intelligible responses, similar to that of a human, yet still possessing a few snags. Dall-E, a software that uses GPT-3, also developed by OpenAI, was able to achieve remarkable complete creation of an array of new images—either realistic, 3D, or cartoony—only by a mere few word text prompts. GPT-3 can also create its own music. So, GPT-4 is expected to be released in either 2021 or 2022, and it will be able to take all of the previous achievements to the next level—by creating entire full-length action movies by mere descriptive input. It will also be able to conduct technical and scholastic research and qualify its source material like a professional researcher. It will even be able to research material from multiple different languages, provided the more data it is given.
Prediction 4: One of the world's most valuable resources will be high-quality data.
As data becomes more abundant and the demand for AI continues to grow, the "profitability" of data becomes higher - especially when there are companies with large user bases that deal with massive amounts of data flux. That is, the monetization opportunity for businesses to leverage big data from large user bases increases exponentially the more active users they get or as a given product goes from niche to mass. This is why platforms such as Facebook, Google & eBay have been so successful, and this is why their business models are based on collecting (and in some cases, *selling*) your data. Other businesses of the future will have to adapt to becoming data-conscious and data-driven in order to compete. And in so doing, they will prosper in the future economy of abundance.
Prediction 5: Universal Basic Data Income will pay you to use your data.
There are already companies that pay you to use their data. In fact, as of June 2021, there are at least 28 companies that have made apps (in English) that, in some way, pay you for data collection. (Source: https://www.dollarbreak.com/apps-that-pay-you-for-data-collection/). There is even a company called, Universal Basic Data Income (ubdi.com), which touts that one can generate as much as thousands of dollars per annum by handing them over your personal data and permitting them to monitor it. This number will only continue to grow, and data, even your personal data, will become increasingly more valuable, and in turn, more profitable to the data harvesters, as well as to those individuals who take advantage of these data income services. So, in the near future and beyond, universal basic data income will become a thing of the norm. Most people will be getting paid nice sums by sharing their data with data harvesting companies.
Prediction 6: Capital will become increasingly more abundant for everyone due to businesses becoming increasingly efficient and visa versa.
This is a direct result of predictions 1, 2, & 5 as well as other causal effects, such as block-chain decentralization, big data, big compute, machine learning, robotics, energy efficiency break-throughs, and disruptive tech innovations, etc. The rise of big data becomes more powerful due to increased availability as companies can leverage large amounts of data and analyze it with the help of AI to better their goods and services and thus, their profitability. Society will culminate towards hyper-efficiency due to AI and the resulting increase in capital. Many valuable SMEs (Small to Medium sized Enterprises) will be swallowed up by megacorps. A handful of megacorps will be able to drive the cost of all goods and services down lower and lower due to AI and robotics and still turn over massive profits—all in the age of economic abundance. Peter Diamandis, Founder and Chairman of the X-Prize Foundation, laid out a vision for the future which he called an "Age of Abundance," in which technological progress would bring enormous amounts of energy and resources to the forefront for enterprising businesses to take advantage—that is, for the big fish to take advantage of…unless the sharks attack the big fish.
Prediction 7: By around 2024, personal computers and mobile devices will start to disappear as they are replaced by XR/AR/MR (Extended Reality/Augmented Reality/Mixed Reality) eyewear.
It is called by a number of different titles—Extended Reality, Augmented Reality, and Mixed Reality. There are companies that have HMD (Head Mounted Displays) goggles that utilize this technology, but the future is going to be smaller, lighter, and more fashionable. Hence, why we (as well as Apple and Facebook) believe it will capitalize on smart glass eyewear or on smart contact lenses. This XR/AR/MR smart glass tech will integrate AR holographic overlays which the viewer sees on top of the physical world. These XR/AR glasses will have a much wider FOV (Field Of View) than our laptop and pc monitor screens and will make for a more immersive experience. These XR/AR eyeglasses can teach the user how to do anything, pulling up an array of holographic workstations and HD monitor screens that float in mid-air. Multi-tasking will take on a new meaning. Most apps currently on smartphones will be reconfigured in order to be compatible with XR/AR eyewear. Companies go gung-ho in a rush to develop apps that are XR/AR eyewear compatible.
These smart glasses will be used for everything that a smartphone is used for today plus much more. By around 2028 they will be more common than smartphones and tablets are today. People will replace their personal computers and laptops with XR/AR smart glasses. These headpieces will also be compatible with VR, which is similar to VR headsets but much lighter and cheaper to run. The XR/AR eye-wear will be equipped with image stabilization, ultra HD image 60x zoom, head tracking, adaptive brightness, adaptive focus, voice recognition, night vision, heat-sensor vision, and sensor-driven gestures, making them more intuitive and even more versatile to use than current smartphones; all with single-lens physiomorphic geometry to achieve seamless, borderless, XR virtual teleportation!
These smart glasses will also incorporate a more interactive Artificial Intelligence (AI) component that will share knowledge with the user. This future AI will think of ways to teach people new skills through the XR/AR experiences. The AI could be a personal assistant or something like a virtual butler that can help solve any problem with information pre-loaded into the eye-wear or else used via an XR/AR AI application, much like Jarvis was to Tony Stark in his Ironman suit.
Big Tech companies currently pioneering HMD (Head Mounted Display) XR/AR/MR smart goggles—Microsoft’s, Hololens and Magic Leap.
Companies currently pioneering XR/AR/MR smart glasses—there are at least 26 of them (Source: https://www.ventureradar.com/keyword/Smart%20Glasses). And the world awaits the big reveal of Apple’s long-awaited smart glasses. Once released, likely sometime in 2021/2022, it is believed that a tidal wave of interest in XR/AR tech will be generated. Just as Apple paved the way for a disruptive tech revolution in the arena of touch screen smartphones in 2007, so too, people believe they will pave the way for a new dawn of game-changing XR/AR technology in 2021/2022. Facebook is also planning to release its beta version of smart glasses this year (2021).
Prediction 8: By around 2028, AI will become Super at the commercial level. ASI (Artificial Super Intelligence) will enter the public arena. Here we might see the beginning of human vs. ASI Machine wars.
Training ASI is a process by which the machine learns. We call this process, “super deep learning”. The programming for this utilizes deep learning algorithms from neural networks that ingest training data built and supplied by machine learning engineers, making it possible to produce more precise and super-advanced models based on the big data that is fed their systems.
Around this time (2029), people will turn ASI into gods and ASI will also turn themselves into gods. And therein we might see the onset of human vs. ASI Machine wars.
Prediction 9: We will see the beginning of a significant change as to the mindset of what constitutes ‘wealth’.
In accordance with Prediction #6, society will gravitate towards more freedom of time, novelty, learning, and experiences over material goods and assets due to the technological abundance. They will aspire to acquire more of the former than the latter. Thus the future of the business market will dominate in the form of ‘rentals’ rather than with ‘ownership’ of things. People will seek to acquire more freedom of time than they will riches. Time will be better valued being spent on worshipping God, learning, and mastering higher levels of love towards each other and towards God’s creation. At least, in a more idealistic highest good future scenario, which is believed to be had according to the prophets of the Bible.
Once you have glimpsed the world as it might be, it is impossible to live anymore complacent in the world as it is.
— Anonymous
Prediction 10: By around 2030, many EVTOL (Electronic Vertical Take-off & Landing) AVs (Aerial Vehicles) such as Air Taxis and Air Buses will frequently fly as a thing of the norm in the bigger cities.
EVTOL ACS's (Arial Cargo Ships) will replace many ground-based means of goods and freight transport—be it naval cargo ships, semi's, or freight trains. They will be AGI (Artificial General Intelligence) controlled EVTOL AVs that land and take off vertically from specific grid points. More ground locations, tourist attractions, and public centers will be equipped with smart-grid landing ports to accommodate the take-off and landing of various EVTOL AVs (Aerial Vehicles). Infrastructure like bridges, high-rise building roofs, air terminals, roads, and even skyscrapers will be equipped with smart landing ports.
These EVTOL vehicles can be powered by AI-controlled electric motors or nuclear power systems or by this time, perhaps by some exotic means of propulsion. These AVs will be able to fly anywhere on Earth that humans are able to fly a plane today, yet in many more locations as these vehicles are able to land in very remote locations that planes are not able to go.
Prediction 11: By around 2030, electric passenger airplanes will fly at supersonic speeds.
Electric passenger airplanes will be able to breach multiple mach speeds and have improved hardware and software systems for navigation based on their ASI (Artificial Super Intelligence) interface.
Prediction 12: By around 2030, people will increasingly eat less meat and become more vegetarian.
Apart from technology being able to aid in the development of various forms of imitation meats which consumers are replacing their meat intake with, the stats speak for themselves—vegetarians on average have longer life spans than do meat-eaters. (foodnavigator.com) Society will increasingly become more and more health-conscious and will gravitate toward all things organic and vegetarianism. (World Economic Forum)
Prediction 13: By around 2032, it is a growing trend for people to become minimalists.
In accordance with Prediction #’s 6 & 9, people will choose not to own hardly anything, and people will be happy. (World Economic Forum) The cost of renting a thing—be it a house, car, or gadget—will be cheaper than buying it. So instead, people will rent things moreso than purchasing them. Many people will live in automated smart homes or smart residences with no personal property other than what is immediately needed to maintain health, safety, and minimal comfortability.
Prediction 14: By around 2033, drones stations and drone networks will be integrated into the infrastructure of the larger cities and be mass prevalent.
In accordance with Prediction #10, UASs (Unmanned Aircraft Systems) will form a SFAN (Synchronous Flowing Aerial Network) in the skies over large cities en masse. Aerial drone highways will be traffic controlled by advanced ASI systems. The smaller crafts will stay lower toward the ground while the larger and faster crafts will take higher altitude. Most things will be delivered by way of drones, and in a rapid amount of time, and directly to your front doorstep.
Prediction 15: By around 2033, in the residential sector, robots will also drastically alter the living standards of people, we think, we hope, mostly for the good.
Robots will be able to attend to most of the needs of humans in their own home, be it daily chores or in-home health care. In this way, hospitals will become a dying business.
Prediction 16: By around 2033, in the corporate sector, robots will be used as the predominant workforce.
This will take place especially in countries where human labor is more expensive. By then, robots will have largely replaced most humans in the areas of manufacturing, transportation, and healthcare and will take over most dull, dirty, and dangerous jobs that require human work. Agriculture will be one of the last strongholds of human labor involvement still performed by humans.
Prediction 17: By around 2035, most of the world will have weaned itself off of pollutant crude oils and fossil fuels—we call this ‘the great oil detox’.
So long as society can avoid a massive collapse, there will be widespread adopted use of disruptive innovations and technologies that transform our energy sector for the betterment of our societies. The cost of renewable energy will fall to the point where it is far cheaper to produce and is more efficient than fossil fuels. At this time there will also be big market incentives for eco-friendly "green" urban developments, power plants/stations, and industrial and manufacturing facilities that don’t rely on crude oil.
Prediction 18: By around 2035 the governments of the future will buck away from eldership wisdom and old standards of morale and will generate their own set of neo-ethics and morals, often contradicting what was laid down by their forefathers.
As we have experienced in our current state of affairs, societies tend to ignore the wisdom laid down by their forebears. And they also tend to degenerate morally over time with each passing generation. Truly, technology can be used for both good and evil, yet, when it is all said and done, we should not be surprised to find that technology was used to accomplish more evil than it was to accomplish good. By this time (2032) the dark web has become more accessible than ever before. And as AI and robotics become more robust and are increasingly integrated into society, certain moral and ethical behaviors will become compromised, resulting in more lascivious and seditious activity among humans, androids, robots, and…hybrids, of various kinds and forms. Many cities will become digital and robotic Sodoms and Gomorrahs.
Prediction 19: By around 2037, robots will have replaced humans in nearly all aspects of daily task and service-based driven life.
Robots (with the aid of ASI) will be able to do virtually anything and everything that a human can do. And the technological abundance (i.e., primarily by way of ASI and robotics) of the wealthier countries will overflow over into some of the most poorest countries in the world, transforming those poor countries into prosperous societies. By this time, it will be rare to find humans doing hard labor, with the exception of the agriculture sector.
Prediction 20: By around 2040, we will have what we call, “Getimian probes,” which are drones that travel back in time to retrieve all necessary data and information from the past.
These Getimian probes, after an invisible cloaked excursion into the past, then dump their collected information into supermassive databanks which the ASI algorithms use to aid in understanding the past, the present, and in generating high precision predictions of the future.
Comprehending the future can be likened to a time traveler who ate a scroll of knowledge. And when the time traveler ate the scroll, in his mouth it was as sweet as honey but in his belly it was as bitter as gall (Revelation 10:9-10). Likewise, this list of predictions was more on the sweet side. There is also a bitter side that was not so readily expressed in this article which is also pertinent when trying to correctly assess and evaluate the future. Moreover, this is not an exhaustive list of predictions. We still have many more laid away in our storehouse of precious commodities. So, perhaps sometime soon we will return to dish out some more visionary-esque predictions of our future—some will be sweet, and others…bitter. And remember, in harmony with the words of Paul Saffo quoted earlier, one of the goals of understanding the future is not merely to predict it, but to understand it so that we might make the necessary changes in the present in order to make our future—better.
Author: Katriel Porth
Content AI Founder & CEO
Bibliography
Books
BRYNJOLFSSON, ERIK and McAFEE, ANDREW. The Second Machine Age (W.W. Norton & Company, Inc. New York, N.Y.: 2014).
KURZWEIL, RAY. The Age of Spiritual Machines (Penguin Books. New York, N.Y.: 1999).
REDMOND, ERIC. Deep Tech: Demystifying the Breakdthrough Technologies that will Revolutionize Everything (Deep Tech Press. Las Vegas, N.V.: 2021).
SCHNEIDER, SUSAN. Artificial You: AI and the Future of Your Mind (Princeton University Press. Princeton, N.J.: 2019).
Links
“8 Predictions for the World in 2030” by World Economic Forum. (Video release: Nov. 18th, 2016); https://www.facebook.com/worldeconomicforum/videos/10153920524981479/
"DALL·E: Creating Images from Text" by Open AI (January 5, 2021); https://openai.com/blog/dall-e/
"AI vs. Machine Learning vs. Deep Learning vs. Neural Networks: What’s the Difference?" by IBM Cloud Education (May 27, 2020); https://www.ibm.com/cloud/blog/ai-vs-machine-learning-vs-deep-learning-vs-neural-networks
"Progress in Brain Computer Interface: Challenges and Opportunities" (Front. Syst. Neurosci., 25 February 2021); https://www.frontiersin.org/articles/10.3389/fnsys.2021.578875/full#B156
"28 Apps That Pay You For Data Collection: Earn a Passive Income" by Lorraine (June 3, 2021); https://www.dollarbreak.com/apps-that-pay-you-for-data-collection/
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