This is a problem for humans because we, nor life on earth, are digital. We are evolving organic, DNA. So, our tools, tech, and computers are not symbiotic with us. O’s and 1’s aren’t cutting it.

Binary Code has its source in using I Ching hexagrams. These hexagrams represented DNA to the Chinese. Leibniz aimed to use 0’s and 1’s as a source code for computers, which are electronic, not organic. In my opinion, he left the humanity of the ancient Chinese system in the dust. The goal was to confine evolving DNA into a digital box and to eventually turn humans into machines. At the very least, force us to choose what kind of world we want. We are at that choice now.

In short, I hate binary code. It’s horse and buggy to me and very prolix. In addition, it’s missing the triplet that leads to base 5. Then it leads to base 10 and 20. This is Maya vigesimal, exponential math based on how the universe works.

Here is GROK explaining the issue, pretty well.

“While binary code itself doesn’t “explain” everything in a philosophical or comprehensive sense, it serves as a crucial analogy. The principles behind binary code can be metaphorically extended to explain how digital systems work at their most fundamental level. These systems underpin much of modern technology. Here’s how binary can be seen as a foundational concept in explaining various phenomena”-

### 1. **Digital Representation of Information**– **Basic Building Blocks:** Everything in a digital system, from text, images, to complex software, is represented using combinations of zeros and ones. This binary system can represent any number, character, or operation through different encoding schemes (like ASCII for text or RGB for colors in images).

### 2. **Logic and Decision Making**
– **Binary Logic:** Computers use binary in logic gates (AND, OR, NOT, etc.), where 0 and 1 can represent false and true, respectively. This binary logic can explain how computers make decisions through algorithms, which are ultimately sequences of logical operations.

### 3. **Complexity from Simplicity**
– **Emergent Complexity:** Just as complex life forms arise from simple cellular mechanisms, incredibly complex software and systems arise from the simple on/off states of binary. (Not exactly at all because digital has no evolving RNA. Get over yourself.-L.T.) This principle can explain how simple rules or states can lead to complex behaviors or systems, akin to cellular automata or even neural networks. (No, it’s not.)

### 4. **Data Storage and Memory**
– **Memory States:** The concept of binary can explain how data is stored. Each bit (a zero or one) represents the smallest unit of data. From this, you can explain how larger data structures, like bytes, words, and beyond, are formed.

### 5. **Communication and Information Theory**
– **Signal Transmission:** Binary can illustrate basic concepts in information theory, where a message’s simplest form (a bit) can either be received correctly or not (1 or 0). This binary nature helps explain concepts like signal-to-noise ratio, data compression, and error correction.

### 6. **Quantum Computing Analogy**
– **Qubits:** While traditional binary uses bits, quantum computing uses qubits, which can be in a superposition of states, not just 0 or 1. However, the classical binary system lays the groundwork for understanding the binary logic that quantum operations simplify or expand upon.

### 7. **Philosophical and Conceptual Insights**
– **Dualism and Dichotomy:** Philosophically, the binary system reflects a fundamental duality (yes/no, true/false, existence/non-existence), which can be metaphorically used to discuss concepts in various fields like ethics (right/wrong), existence (being/non-being), or even in dialectics (thesis/antithesis).

– **Reductionism:** Binary code embodies the reductionist approach in science, where complex phenomena are broken down into simpler, fundamental parts. This can be a metaphor for how understanding the smallest units can lead to understanding the whole.

### 8. **Universal Computing**
**Turing Machines:** The concept of a Turing machine, which operates on binary logic, proposes that anything that can be computed can be computed with sequences of binary operations. This idea supports the Church-Turing thesis, suggesting that binary logic can simulate the logic of any computer algorithm, thereby explaining the universality of computation.

### Conclusion
While binary code directly explains digital computing, its principles can metaphorically or conceptually extend to various domains:

– **Simplicity to Complexity:** Like life itself, where simple molecules lead to complex organisms, binary leads to complex digital life.
– **Foundation of Digital Universe:** Much like atoms in physics, bits are the fundamental particles of the digital universe, explaining how digital “reality” is constructed.

However, while binary can illustrate many concepts, it doesn’t explain human emotions. It doesn’t cover philosophical truths beyond logic or the essence of consciousness. Neither does it explain the universe’s physical laws outside of computing. But within the realm of information, data, and digital technology, it’s crucial for understanding digital systems. It explains how they operate and interact.

I suppose this can be useful to humans. But for those who hate themselves and humanity, it poses an existential risk. They have to be controlled.