I Now know This: Human Comprehension is AI's Super power
Makinde Kehinde Margret
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I Now know This: Human Comprehension is AI's Super power

Makinde Kehinde Margret
@kehindemargretmakinde

1 day ago

I Now know This: Human Comprehension is AI's Super power

AI's strenght is in information processing and pattern recognition. Human strength is comprehension, judgement, meaning and action. Tomorrow belongs to those who can translate between the two.

I am not saying AI replaces humans, or humans must compete with AI. I am saying AI and humans are complementary and translation is the missing bridge. intelligence without meaning is unfinished.

Intelligence without meaning is unfinished.
AI gets information and humans get understanding. AI does not lack intelligence just like God helps us be ourselves intelligently; and we do not help God be Himself. In the same way, AI assists human work, but humans give it direction, judgment, and purpose. AI can process information, identify patterns, generate outputs at astonishing speed. But AI has spirit, not soul. By spirit, I mean breath without life, motion without moral weight, operation without accountability.
The Book of James 2:26 says; “The body without the spirit is dead".
And yet, Ezekiel 18:4 is clear on this
“The soul who sins shall die.”
Only beings with souls can be held responsible.
AI has spiritual energy, operation, activation because we gave it. Humans have souls, conscience, moral awareness, and eternal accountability. This distinction matters.




Why the Translator Role Is Human Work
AI speaks fluently in patterns, probabilities, and predictions, but meaning belongs to the soul.
Mark 8:36 says "For what shall it profit a man, if he shall gain the whole world, and lose his own soul?”
AI can gain the world of data, but only humans can decide what that gain costs. This is why the call to “be a better AI translator” is spiritual and ethical. Those of us who have souls must take up the challenge. Because the following pairs do not have synonymous roles:
comprehension versus computation.
Judgment versus generation.
action versus automation.
Proverbs 16:22 says:“Understanding is a wellspring of life”.
Proverbs 18:13 says “He that answers a matter before he hears it, it is folly and shame.”
AI can answer quickly, but humans must hear in depth.



Jacob the Scriptural Precedent
Scripture already gives us a precedent for this kind of intelligence at work. Jacob did not create life, God did. Yet Jacob observed patterns, interpreted insight, and acted deliberately within creation.
According to Genesis 30:37–39 “Jacob took fresh rods of poplar, almond, and plane trees, peeled white strips in them, and placed the rods in the watering troughs where the flocks came to drink… and the flocks conceived”.
The increase came from God, but the placement came from Jacob. This was participation. In the same way, AI does not create wisdom but presents patterns. Those of us who have souls must decide how, when, and whether to act on them.

Organisations do not need more AI outputs, they need meaning and action. This reflects biblical patterns of interpretation, wisdom, and stewardship
Scripture says in Proverbs 4:7: "Wisdom is the principal thing; therefore get wisdom. And in all your getting, get understanding".
AI gets information and humans get understanding.

Again Proverbs 20:12 says "The hearing ear and seeing eye, the Lord has made them both".
AI can see data and humans discern meaning.
AI outputs are heard, and so humans must decide to act
According to James 1:22 Be doers of the word, and not hears only".

Ones and zeros have a “voice", but translators make it useful.
According to 1 Corinthians 14:10 “There are many kinds of voices in the world, and none of them is without significance.”
AI is a tool, and humans are its stewards.
Luke 16:10 says “Whoever can be trusted with very little can also be trusted with much.”

AI outputs are heard, but this does not equate obedience. Data does not move organizations, understood data does. This is why translation matters.
Ones and zeros have a voice, but that voice must be interpreted before it can be trusted.
Scripture reminds us:
“There are many kinds of voices in the world, and none of them is without significance.” — 1 Corinthians 14:10
AI speaks, but in speech it is not self-explanatory. A voice without interpretation can confuse rather than guide. A signal without understanding can mislead rather than help.
This is where the human steward stands.
“Whoever can be trusted with very little can also be trusted with much.” — Luke 16:10
Data is the “little.”
Decisions are the “much.”
Models keep suggestive roles. Dashboards keep highlighting roles, predictions stand at their stations to warn. But responsibility does not belong to the model, it belongs to the one who interprets it.
Stewardship means we do not outsource judgment or surrender accountability to systems; it means we take what is generated and ask:
What is wise?
What is just?
What is the need now?
This is why organizations do not only need AI-generated insights; they need translated understanding, people who can say: "this is what the model suggests ,this is what it does not see, this is the human risk involved, this is the ethical boundary, and this is the action that aligns with purpose".
“Wisdom is the principal thing; therefore get wisdom.
And in all your getting, get understanding.” — Proverbs 4:7
AI helps us get, and humans must understand.
As AI interfaces improve and systems become faster, clearer, and more accessible, the scarcity will not be intelligence but interpretation.
The future will not belong to those who generate more outputs, but to those who can faithfully translate them into meaning, judgment, and action.
Because tools do not carry responsibility, souls do, and those with souls must decide what intelligence becomes in the world with AI.



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Let me know where you think the gap between 1. AI output and human comprehension is most dangerous or most promising.

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