Like the sales pitch of every used-car salesman, the narrative surrounding today's AI technology does not want you to know the huge gulf between all of the fantastic benefits to humanity that Big Tech is promising, and the real capabilities that Generative AI can actually deliver.
What you hear now about all of the wonderful possibilities and potential of Big Tech's AI is nothing but marketing and media hype, amplified to mega-watt proportions and fueled by tech companies desperate to keep the investor money coming in, even after decades of providing no real return on the hundreds of billions already invested in "AI".
Even after 25 years of hammering on the same tired "machine learning" technology, neither academia nor any of the Big Tech companies have really figured out how to successfully commercialize AI to a mass market, so now their AI is in a financial and a technological bubble.
Every used-car salesman relies totally upon on the purely emotional appeal of the flashy sleek appearance of their cars to override the rational questions that arise from not knowing the condition of the actual hardware beneath that shiny bright appearance. And Big Tech today is relying on the purely emotional appeal that everyone holds for the futuristic promises of artificial intelligence, to sell a technology that is a long way from the artificial generalized intelligence that people today mistake for the AI actually developed by Big Tech so far.
But what the media hype also doesn't want people to know is that Big Tech has a huge marketing problem. Their "machine learning" technology has reached a plateau that is limited by the very physics of thermodynamics: The AI bubble that Big Tech has created literally cannot grow without new giga-watt data centers powered by nuclear reactors.
Up until now, investors have been throwing hundreds of billions of dollars into this AI "black hole" because so far there has been no real alternative to the weak "machine learning" paradigm that resides at the heart of today's AI.
But what if there were a technology capable of true artificial generalized intelligence, a technology which is the "Holy Grail" that all of academia and all of Big Tech have been seeking for the last 25 years. What if there was a technology available now that did not have to rely on giga-watt data centers powered by nuclear reactors?
That would be great right? But here is the thing: This technology, although available now, cannot be deployed until the consumer market learns a different marketing message than the media hype that is being trumpeted today. "AI" is not a "product" that can be put in a box on a shelf and sold to the commercial market. It is not even something like an app that can be downloaded to your smartphone or computer.
True AI is mankind's greatest tool, in that it is a truly generalized tool that by itself can make other specific tools, tools that are tailored for a desired task that can help people do all the things that AI is intended to do. But right now, the Generative AI model that OpenAI and xAI have developed is only useful after developers have specialized it for specific applications, like text-to-image generation or speech cloning. By itself, the Generative AI model is not a very generalized tool until it is turned into some specific task by HUMAN developers.
Why is this? Because the Generative AI model does not have the level of intelligence (that we humans have) to change things in the real world. It does not exist beyond the database that it was trained with, and although it is great for scouring the entire extent of man's knowledge for some fact or opinion, it does not have the real world experience to actually imagine a world different than the digital database world that it was trained on.
Because people today mistake voice cloning and text-to-image generation for actual creativity, the marketers behind the media hype want the world to believe that this digital mimicry, this imitation capability, is actually intelligence.
They want us to believe that Large Language Models possess true linguistic ability and language comprehension, when in fact the language ability of Large Language Models is nothing more than a digital illusion.
The models have no underlying understanding of the meaning to the words that they bandy about, instead they operate merely on the level of word statistics, having been trained on the frequency of word groupings and the probabilities of one word following another, with no real knowledge of their intrinsic meaning. All of this "machine learning" technology will never express anything close to human ingenuity as it is only able to mimic and imitate the digital records and databases built by Big Tech in the last 30 years.
A great example of this inability was the Watson-Healthcare failure.
IBM's Watson, after having been crowned the Jeopardy champion in 2011, was re-purposed to aid in medical diagnosis, aiming to assist doctors with complex medical cases.
The Watson supercomputer was re-designed to analyze vast amounts of medical data, including research papers and clinical trial results, in order to provide evidence-based insights for medical diagnosis and treatment.
However, while initially promising, the Watson computer struggled with the nuances of natural language as used in the medical community, while at the same time the system was in many ways incapable of being integrated into existing clinical workflows and actual medical diagnosis environments, and in only two years it went from being Jeopardy champion and the best doctor in the world to being sold for scrap.
There is a new AI technology, however, that does not need giga-watt datacenters powered by nuclear reactors.
This new AI, developed by the First Frontier Project, is built around the elementary fundamentals of natural intelligence as evolved in us humans. It is not based on esoteric equations and complex algorithms, like all of the AI that Big Tech is developing. In fact, its big secret is the implementation of a form of organic memory which is wholly different than the form of random-access binary memory used in digital computers, and in all of the Generative AI models from Big Tech. This organic memory allows the AI developed by the First Frontier Project to behave more like the natural intelligence that we humans exhibit.
The AI of the 21st century is natural intelligence, driven by the power of today's digital computers.
After a decade of development, the First Frontier Project is ready to deploy this new AI, but this deployment has learned the lessons that Big Tech has not yet learned as it grapples with the bubble of Generative AI.
Once these lessons are considered, one can learn how best to commercialize AI to a mass market, something that Big Tech has been unable to do, and something that the world is really waiting for.
This deployment, however, takes a different perspective, whether you are from academia, or you are in the tech industry itself, or you are just a consumer interested in this new technology. The First Frontier Project is looking to partner with a tech company interested in participating in this development.
To participate in this deployment, click here to get more involved. In the Contact page, let us know whether your background is from academia, the tech industry, or the general consumer market. Be a part of the future!
True artificial intelligence will be the greatest tool mankind can deploy to leverage TIME.
Time is the most precious commodity in existence, and everyone on the planet is given only a limited amount of it. According to the Fifth Rule of the Cryptocosm, Time is the final measure of cost because Time is what remains scarce when all else becomes abundant.
The scarcity of Time trumps an abundance of money in a linear (transactional) economy.
Creating nonlinearities in time leveraging will be the ultimate common denominator to economic power for the individual or organization deploying true artificial intelligence.
True AI machines reasoning with the intellectual dexterity of humans, combined with the supreme leveraging of Time.
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