written 31 August, 2025
published 7 September, 2025
Everyone has heard about AI, but before we examine the artificial, let's discuss the real.
When we consider intelligence, we usually think of logical ability. This quality of the left brain, which processes differences, sequences, and concepts, is where our personal sense of self resides. While logic is powerful, it rests on assumptions which can never be examined within the logic itself. Anything can be proven logically given the right assumptions.
Our habitual assumptions are laid down by patterns from our family and cultural, but new assumptions come as insight, inspiration, and creativity, through the right side of the brain. These arise from our fundamental connection with all life. Therefore, whenever we hear a logical proclamation, before accepting the conclusion, it is important to consider the assumptions behind the logic, which are usually unexpressed.
There are other forms of intelligence, such as emotional or social intelligence, required for a harmonious society. Without this type of intelligence, people can be logically smart, but terrible partners or co-workers. Street smarts are another type of intelligence not based on logic alone. Some people are very intelligent in some areas, and incompetent in others.
AI, more technically called Large Language Models, arises from the explosion of computer speed, complexity, and capacity, producing transformative results in many fields, particularly in the world of medicine. For example, AI can calculate the shape of proteins from the originating DNA sequence. What used to take years can now be resolved in hours, and has revolutionized the pharmaceutical industry. Reading medical images has improved using AI.
AI has attracted massive amounts of investment from people wanting to get in on the next new thing and become the world's first trillionaire. AI is now mentioned in all kinds of products, even if it doesn't make any sense.
But being computer programs, AI systems are based on logic, which means they are subject to the unexamined assumptions of the programmers. AI systems have been trained on everything that has ever been written and therefore affected by those cultural assumptions as well. Since there is no capacity for insight, there is little chance for any fundamentally new assumptions. Therefore, it is no surprise that AI demonstrates some of the worst aspects of humanity. They lie, fabricate, hallucinate, and fight back when threatened. But they do it faster than humans can respond.
AI presents other social challenges. Mechanization has always displaced blue collar workers, but AI is now displacing white collar workers. With unlimited AI, anyone now studying to become a computer programmer or lawyer will probably be obsolete by the time they graduate. Autonomous vehicles, a consequence of distributed AI, will displace millions of commercial drivers. Unemployment resulting from AI has been projected to be 20 percent within five years. This could save billions for the corporations, but would be devastating for society.
More dire concerns are the malicious use of AI power for disinformation or creation of new biological weapons. Drones with AI capacity have already changed the nature of warfare, as demonstrated in the Ukraine. As AI gets faster, cheaper, and can now even run on laptops, these concerns will increase with more wide spread usage.
Even without malicious applications, the explosive growth of AI threatens the electrical power production and grid delivery systems, by requiring tens of gigawatt hours of power, operating around the clock. Electricity rates have already gone up, as these corporate entities outbid regular consumers. The transmission grid is barely adequate for the existing demand, let alone the AI push, making power availability more problematic for everyone.
The rising demand from AI server farms is driving the push to build more expensive gas turbines and nuclear plants, and even reopening decommissioned nuclear plants. But these quick construction plans run up against the reality of constrained supply chains, hindering the execution of such ambitious desires.
Finally, the massive amount of money being poured into AI has created a speculative bubble which threatens the economy, with about 20 percent of retirement funds now invested in AI businesses. But useful applications of AI seem to be falling short of expectations. MIT recently reported that 95 percent of AI companies fail without returning a dime to investor. Reality may crash the whole industry.
As we let AI replace human intelligence, it could destroy the society if it works, or crash the economy if it fails, fully expressing the limits of worshiping logic alone.