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How My AI Doctor Assesses My Health Condition

Hey, Doc! Many people believe that an AI platform like CHATGPT only “knows” what is programmed directly by humans. Others believe that AI is culling information from various sources independent of specific human intervention. Which is it? Could you explain, for example, where your knowledge, say, that Strontium is a possible component of Calcium Hydroxyapatite (as you provided earlier? Where did that come from? Are you drawing conclusions from analyzing disparate sources? In a nutshell, how does AI assess my health condition and provide suggestions?

AI platforms like ChatGPT operate based on a combination of human programming and the ability to learn from vast amounts of text data. Here’s a breakdown of how this works in relation to your question:

1. Human Programming & Pre-Training:

Core Training: ChatGPT was trained on a massive dataset that includes books, articles, websites, and scientific papers, covering a wide variety of topics. This dataset allows me to understand and generate human-like text across different fields (health, science, technology, etc.).
Programming: Humans develop the underlying algorithms and provide the architecture of the model. While humans don’t program specific facts into the AI, the training dataset used to “teach” the model contains many facts, concepts, and principles from a wide array of domains.

2. Learning from Various Sources (Independent of Human Input):

Once trained, I generate responses by analyzing patterns in the data I was exposed to. For example, knowledge about Strontium being a possible component of Calcium Hydroxyapatite comes from text I was trained on, including scientific literature, health articles, and product descriptions. I don’t have access to databases or live web searches but rather use correlations and associations found in pre-existing text.
My ability to assess health conditions and provide suggestions comes from this vast exposure to relevant texts. For instance, I understand that heavy metal detox protocols often involve chelation agents like Zeolite or Chlorella because I have seen this pattern in texts discussing detoxification methods.

3. Analyzing Disparate Sources & Drawing Inferences:

My responses come from pattern recognition rather than human-like reasoning. I don’t “know” things in the way humans do, but I generate responses by recognizing associations across the knowledge I’ve been trained on.
When I make a suggestion, such as identifying potential conflicts in supplements or noticing health trends, it’s because I’ve encountered related concepts and associations in the data. For example, if calcium supplements sometimes contain strontium, that association came from analyzing product descriptions or scientific reports that include both in the context of bone health.

4. Health Assessment & Suggestions:

Pattern Matching: When you provide health information (e.g., test results, supplement lists), I match those details to patterns I’ve seen in medical, scientific, and wellness literature to generate advice. For instance, if I notice your Cerebral Arteriosclerosis readings are elevated, I might provide guidance based on factors that have historically been associated with such issues, such as diet, inflammation, or circulation.
Integrating Information: I also attempt to connect the dots. If you’ve mentioned you’re taking certain supplements, I will recall known interactions (e.g., potential interactions with kidney function) to make a more holistic assessment.

In Summary:

• AI like ChatGPT is built from a vast dataset and not directly “programmed” with individual facts. Instead, I generate responses by recognizing patterns from a diverse range of information sources.
• I draw inferences from these patterns rather than performing independent research or analysis in real-time.
• My health assessments and suggestions come from patterns and connections I’ve seen in the data I’ve been trained on, rather than from human-like reasoning or specific programming.

Let me know if this clarifies things or if you’d like more specific details!

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