In 2025, Artificial Intelligence (AI) became more practical. AI tools have appeared and the hype about it being “intelligent” has lessened. I believe that it is because the limitations of AI became apparent. AI is not intelligent. It is simply a sophisticated statistical pattern matching model with an enormous database that allows it to mimic human intelligence. And that is why it does not always get things right. What these AI models can do is very impressive but I believe they are not intelligent. The model works to give the most probable answer from its vast database and sophisticated model. It does not reason like humans do.
Apple researchers showed that there is an inability of the AI models to solve logic problems like the Tower of Hanoi. Their conclusion was that the models were pattern matching and not reasoning. Note there are some who disagree with the conclusion, but it does show that there are some significant reasoning issues with the current AI models.
People realize that there needs to be “theory of mind” reasoning, and there are some small “theory of the mind” reason circuits in the latest AI models, but I feel the pattern matching needs to take a back seat to a much more developed “theory of mind” reasoning, and make it a model of the mind. Microsoft’s CEO, Satya Nadella, said, ‘We need to … develop a new equilibrium in terms of our “theory of the mind” that accounts for humans being equipped with these new cognitive amplifier tools as we relate to each other.’ Now, in CEO speak, I think he is talking about making AI tools that interact in a more human-like manner. Note the emphasis is on using the AI tools, not on a future superintelligence. I think this is because we have a long way to go to real superintelligent AI and Artificial General Intelligence (AGI). Actually I do not think we can do it.
Besides developing the right model, there are a few other obstacles that have given problems to the AI companies. First, AI companies need large data centers with lots of computers to do the work. Computer prices, especially RAM prices, have risen a lot as these companies build new and bigger data centers to train the AI models. And those data centers require tremendous amounts of electricity to run the computers to develop these AI models, and the newer and better versions will require even more power. That raises the electricity rates and many times there will not be enough power available. Another obstacle is that these AI models require a tremendous amount of data to be able to properly train these models. The problem is much of the data is copyrighted and legally they can not just use the data. These are some significant obstacles for them to navigate.
I see the ultimate goal of AI as an attempt to create our own creature in our own image, just like how God created us in his image. Some see superintelligent AGI as creating a god that will fix our problems. However, because of our sin our image is no longer pure as God meant it to be. Our image is broken and I cannot see AI being intelligent without major flaws. And I think we are a long way off from anything close to being intelligent and able to reason. Again, I do not think we can actually create an intelligent AI. Why? Because we are not God, and if we could make a superintelligent AGI in our own image, it would be flawed. It is my hope that everyone will recognize that AI will always be flawed, because we are flawed. Fortunately in 2025 many people have moved from the AI hype to creating practical AI tools.
This post was inspired by “From Prophet to Product: How AI Came Back Down to Earth in 2025”.
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