How to Know the Truth in Any Situation and How AI Can Get to Know the Truth
Knowing the truth doesn’t have to be complicated.
There’s a pattern to truth, and once you understand that pattern, it becomes easier to recognize what’s real and what’s not.
Here’s how the pattern works:
Truth Declares Itself: Truth is often spoken or discovered.
Nature Reflects It: You can see evidence of it in the natural world.
History Proves It: Time reveals if something is true or false.
Science Explains It: Eventually, science provides an explanation for why it’s true.
If something doesn’t fit this pattern, it’s probably false. Let’s break it down with some examples.
Example 1: Sowing and Reaping (Don’t Eat Your Seed)
Principle: If you consume everything you have (eat your seed), you won’t have anything left to grow (a tree).
Truth Declares Itself: “You reap what you sow.”
Nature Reflects It: Farmers who plant seeds see growth; those who don’t, see nothing.
History Proves It: Societies that invest and save prosper; those that waste their resources decline.
Science Explains It: The cause-and-effect principle in physics shows that actions produce predictable results.
Example 2: Preparation Meets Opportunity
Principle: Only those who prepare can turn chances into real opportunities.
Truth Declares Itself: “Luck is what happens when preparation meets opportunity.”
Nature Reflects It: Animals that prepare for the seasons (like ants and squirrels) survive better.
History Proves It: People like Isaac Newton and Thomas Edison were prepared when inspiration struck, leading to groundbreaking discoveries.
Science Explains It: Cognitive science shows that preparation increases problem-solving abilities and creativity.
Example 3: Doing Evil Comes Back to You
Principle: Bad actions can have lasting effects, even on future generations.
Truth Declares Itself: “What goes around comes around.”
Nature Reflects It: Environmental damage caused by one generation affects future generations.
History Proves It: Families or groups with reputations built on cruelty often struggle to regain respect.
Science Explains It: Epigenetics shows that negative experiences can influence gene expression, affecting descendants.
Applying This Pattern to AI
Now, here’s the interesting part. AI is incredibly good at spotting patterns and learning from data. But truth is more than just raw information—it’s about understanding principles.
What if we could teach AI to recognize this pattern of truth? Right now, AI processes information and identifies patterns in vast amounts of data.
But it lacks the ability to judge whether something is fundamentally true or false.
By training AI to view everything through this pattern:
Truth declares itself—How is this principle spoken or established?
Nature reflects it—Can this be observed in the natural world?
History proves it—Has this pattern repeated over time?
Science explains it—Is there a scientific basis or explanation for this truth?
If a statement or action doesn’t align with this pattern, then it’s likely false.
Reshaping Guidelines and Rules
This approach could completely reshape how we create and apply guidelines, rules, and even laws.
Instead of making rigid rules based on temporary conditions, we can focus on principles that have been proven true across nature, history, and science.
By building systems, AI models, and social structures based on this pattern of truth, we can make guidelines more dynamic and foundational.
It’s not just about rules—it’s about understanding why those rules work and proving them with evidence. This way, even as circumstances change, the principles remain reliable.