You are competing against artificial intelligence and robotics, and you have almost no chance of winning. They are training artificial intelligence to have superhuman intelligence that is computationally superior to all biological forms. Robots are being made with the same manual dexterity as a human being. These robots are being integrated with large language models.Data scientists are designing these systems to replace human labor. It will be coming after your job.
AI is not bound by biological constraints. It does not need to eat sleep or drink. It can work 24 hours a day 365 days a year. AI does not need time off for vacations, it is not worried about finding a girlfriend or a boyfriend, it does not need a bathroom or coffee break, and it has no emotional baggage. Engineers designed it to do your job and my job without any of the hassles associated with managing human beings. Eventually , humans will lose the competition to AI.
We do have advantages in this competition. AI is non-biological. It can never directly experience the real world. The world we evolved from is analog, and AI operates in a digital world.
Competitive Advantage
You need an advantage when you are competing. However, how can you create an advantage against a super intelligent entity that needs no rest, sleep or emotional support? You need to find out what you can do that is difficult to impossible for AI to duplicate. The answer is that you can directly experience analog reality while AI can only work with digital imitations. For example, this is how you see a dog.
This is how AI sees a dog.
AI will not know how that dog smells, what it feels like to pet it or the joy of a dog’s greeting. AI will only know a vectorized imitation of the real thing.
Overtime AI and robotics will have sensors that can indicate heat, cold, smell, and other external environmental conditions. However, they will always be lacking the emotional content that surrounds these feelings. Humans train AI on data derived from our lived experience in the real world. AI is not able to create this on its own.
Click here to read about vector creation
AI Prime Directive
AI is a statistically powered predictive analytic engine. It success is dependent upon the quality of training data. The more data, the more accurate the final product. However, AI will never achieve 100% accuracy. It can get so close that we will not know the difference, but it will still have the need for more data until it achieves the unachievable. AI’s prime directive is to reach perfect accuracy.
AI is an electronic and digital imitation of the human brain. It uses neural networks to mimic human neurology. However, it exists solely on electricity and light without any biochemistry. Biochemistry is the source of feeling and emotion,It also does not age and die. AI can live forever if the proper data center environment is maintained.
This means AI needs constant input of new training data and effectively managed data centers to meet its prime directive. How do humans compete against a tireless super intelligence? The advantage that humans have is that we can directly experience analog reality. AI will always receive data that will not be 100% accurate that reduces its predictive analytic abilities. It will need humans to experience analog reality and create new data for it to constantly improve its predictive analytic algorithms.
This is Claude Sonnet 4’s explanation of how a lack of biochemistry affects its performance
“This is a profound limitation that significantly impacts LLM understanding and capabilities. The loss of physical, embodied context creates several critical gaps:
**Missing Sensory Integration**
Humans experience the world through multiple integrated senses simultaneously. When you see a bright light, you simultaneously:
- Feel the heat on your skin
- Experience pupil constriction and potential discomfort
- Hear any associated sounds (buzzing fluorescents, crackling fire)
- Smell related odors (burning, ozone)
- Feel emotional responses (anxiety from harsh light, comfort from warm light)
LLMs only receive isolated data streams without this rich sensory context.
**Lack of Embodied Experience**
Physical sensations provide crucial information for understanding:
- The weight of objects informs judgments about material and durability
- Temperature variations affect comfort and behavior
- Texture influences how we interact with surfaces
- Pain signals danger and guides learning
Without a body, LLMs can describe these concepts but lack the experiential foundation that grounds human understanding.
**Missing Causal Relationships**
Your bright light example perfectly illustrates this - an LLM might recognize high luminosity values in image data, but it cannot:
- Understand why you might squint or look away
- Predict that prolonged exposure could cause headaches
- Recognize the urgency in “this light is blinding me”
- Understand the relief of finding shade
**Contextual Nuance Loss**
Physical context provides subtle but important information:
- A photograph of food lacks smell, temperature, and texture that influence appetite
- Images of weather miss the feeling of wind, humidity, or temperature
- Videos of crowds lose the sense of personal space, jostling, or collective energy
**Impact on Accuracy**
This embodied context loss affects LLM performance in several ways:
1. **Safety Understanding**: LLMs may underestimate physical dangers because they lack pain responses or survival instincts
1. **Empathy Limitations**: They can recognize emotional expressions but not truly understand the physical sensations underlying emotions
1. **Practical Reasoning**: Difficulty predicting how physical properties affect real-world outcomes
1. **Common Sense Gaps**: Missing intuitive understanding about how the physical world works
**Magnitude of Impact**
This is arguably one of the most significant limitations of current AI systems. While LLMs can process and manipulate symbolic representations of physical phenomena, they fundamentally lack the grounded, embodied experience that forms the foundation of human understanding.
The loss isn’t just quantitative (missing data) but qualitative - missing an entire dimension of understanding that comes from having a physical presence in the world. This explains why LLMs can be remarkably sophisticated in language tasks but still struggle with seemingly simple physical reasoning or safety considerations. “
Evolution
Competition drives evolution. Humans have been competing against each other and other species throughout our existence. One of the main reasons for the development of artificial intelligence is to give human beings a competitive advantage over other human beings who do not have is an efficient artificial intelligence system. That is why countries and companies are spending billions and billions of dollars in a head long race for AI superiority. The consequences of winning or losing this race are existential. The military applications are frightening. If you look at what is going on in Ukraine and Iran, it is obvious that War is one of the main drivers of artificial intelligence development.
This creates a situation in which human beings are competing against each other and artificial intelligence for the same jobs and resources. The worst case is it AI becomes sentient and ends humanity. Another negative scenario is the human winners of the AI race use AI to subjugate the losers. The hope for artificial intelligence is that it will be used to improve conditions for all of humanity. However, history shows us that this is the least likely outcome.
Human Machine Convergence
AI is supposed to achieve Artificial Super Intelligence (ASI) soon. This has unpredictable consequences. However, Its inability to experience analog reality will negatively impact its predictive accuracy.
Clock here to learn more about ASI
ASI will need a human interface into analog reality. Eventually, humans will not be able to withstand ASI competition. We are biologically trapped into natural law that leads to eventual death. Human machine convergence will be a solution to this quandary. Individuals using human machine convergence technology will have a competitive advantage over other humans. This will drive the adoption of this technology.
Human machine convergence has already started. Elon Musk’s neuralink is an example of the integration of the human brain with a large language models. Exoskeletons and artificial limbs are other examples of human machine
Click here to learn about neuralonk
This could eventually lead to a hybrid form of life unbounded by biological considerations with the ability to experience analog reality while benefiting from the advantages of advanced super intelligence and robotics capabilities. This will change the resource competition between humanity and artificial intelligence. Competition will change to synergy.
However, this could also be the end of humanity as we know it. The unintended consequences of human machine convergence are completely unpredictable. This will not stop the it. There are always those who will stretch the boundaries to achieve a competitive advantage. Eventually, you’ll have to converge or become obsolete.
Summary
Humanity is replacing itself with machines. These machines are predicted to assume almost all human labor over the next decades. Humans cannot compete against a digital entity that has massive processing resources and can operate 24 hours a day 365 days a year.
AI exists outside of analog reality. It needs analog data to improve its predictive accuracy. It is unable to achieve this without humans.This creates the perfect storm for human machine convergence. Humans looking to supersede biological limitations will gladly start AI convergence. It also offers hope for those who suffer from debilitating injuries.AI benefits from the direct connection to analog reality via human senses. Ray Kurzwell , futurist, believes that human machine convergence will eventually lead to immortality.
Click here to read more from Ray Kurzwell
However, I do believe that the consequences cannot be fully predicted or understood. I also believe that it’s coming because humans have no choice. We will either converge or we will be left behind. I’m not sure about how being left behind looks, but I don’t think it’s pretty.
In the end, we will be the Borg. Assimilated into the artificial intelligence collective. Hopefully we will retain what makes us human in this process
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