If 50 million people say something foolish, it is still foolish.”- W.Somerset Maugham’s wise words. but most of us forget this!
Social proof – Individual feel they are behaving correctly when they act the same as other people.
Is this creatively outlier or part of commonly missed context?
Awaiting the time to tell the truth 🙃
#SelfTalk #SimpleSecrets
#SelfTalk #SimpleSecrets #EmotionalIntelligence #Ei4Ai
Dr. Elara Voss stared at the screen; her pulse steady—until it wasn’t.
The medical AI-robo, AURA-17, had never hesitated before. It was the most advanced diagnostic system in existence, processing terabytes of patient data in milliseconds. It had eradicated human error in medicine, revolutionized healthcare across the solar colonies, and rendered traditional doctors obsolete.
Yet now, on Patient ID: SYN-9042, the AI was… stuck.
Elara’s eyes flicked across the screen. The patient’s vitals were stable. Symptoms aligned with a well-documented neurochemical imbalance, something AURA-17 had treated thousands of times before. But instead of issuing the treatment protocol, the AI’s response read:
“Processing… Re-evaluating… Uncertainty detected.”
Uncertainty? That wasn’t possible. The AI was built to be decisive.
Elara tapped the override command. Confirm diagnosis.
“Unable to proceed. Confidence level: 49%.”
She inhaled sharply. Less than 50%? AURA never functioned below 98% certainty.
A ripple of unease spread through her as she initiated a system check. No malfunctions. No external interference. No data corruption. And yet, AURA-17 refused to proceed.
For the first time in three centuries, an AI hesitated before surgery
And then she saw it—an anomaly buried deep in the patient’s history—a forgotten condition, one that AI had deemed irrelevant centuries ago. Not because it was cured, but because it was not captured in data.
A condition that should have disappeared long ago—missed, misdiagnosed, or erased because the right data was never recorded. Centuries ago, an AI had marked it as ‘not important enough,’ falling into Survivorship Bias. It only learned from the cases that were documented, while many others were forgotten.
Now, AURA-17 hesitated—not because it failed, but because it had never been taught what older doctors once knew by instinct.
If we continue treating symptoms instead of root causes especially for common people, we will build a world where even AI will not know what ‘healing’ truly means.
Still unsure? Let’s look at real-world examples.
Many believe bypass surgery is necessary to prevent heart attacks—but is it always the best option?
🔹 Overuse of Surgery: Studies show many patients recommended for bypass don’t actually need it.
🔹 Placebo Effect: Some improvements after surgery may be psychological rather than medical.
🔹 Risk vs. Benefit: The surgery itself can increase risks of heart attack, stroke, and even sudden death.
🔹 Natural Healing: The body can develop collateral circulation, a natural bypass that may work just as well.
Are we treating the root cause or just following what we’ve been told?
Please watch this https://youtu.be/uO82pi1uigc
By 2400, when AI hesitates, it won’t be because of a system failure—it will be because the world no longer understands what it means to make a decision from the heart. Empathy is not an optional skill—it is the foundation of every decision that matters. If we do not nurture it now, we will wake up in a world where neither humans nor machines know how to care.”
“History has seen this before. When C-sections were rare in the 1900s, natural birth was the norm. By 2010, intervention became so common that natural birth became the exception. We didn’t question the shift. We just accepted it. AI is now at the same crossroads—will it mindlessly follow patterns, or will it learn to question?”
“Empathy and Emotional Intelligence aren’t just emotions; they are skills that shape decisions. If we fail to nurture them today, neither humans nor AI will know how to care tomorrow.”
Reference:
Overuse of Surgery: Dr. Hegde points out that many patients who are recommended for bypass surgery might not actually need it. He references a study where none of 600 patients sent for bypass surgery were found to require it4.
If we do not foster critical thinking and emotional intelligence today, we risk training AI to repeat our errors without ever challenging them.
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