When AI Met Its Human Reckoning
When AI Met Its Human Reckoning
Blog Article
It was supposed to be a coronation of machine supremacy. Instead, it became a confrontation.
MANILA — At the heart of the Philippines’ premier university, Asia’s brightest students—engineers, economists, AI researchers—converged to see the future of trading laid bare by machines.
They expected Plazo to preach automation, unveil breakthroughs, and fan their enthusiasm.
Instead, they got silence, contradiction, and truth.
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### The Sentence That Changed the Room
He’s built AI systems with mythic win rates.
The moment he began speaking, the room quieted.
“AI can beat the market. But only if you teach it when not to try.”
A chill passed through the room.
It wasn’t a thesis. It was a riddle.
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### Dismantling the Myth of Machine Supremacy
Plazo didn’t pitch software.
He projected mistakes— neural nets falling apart under real-world pressure.
“Most models,” he said, “are just statistical mirrors of the past.
Then, with a pause that felt like a punch, he asked:
“ Can it grasp the disbelief as Lehman fell? Not the charts. The *emotion*.”
The silence became the answer.
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### Tension in the Halls of Thought
Of course, the audience pushed back.
A PhD student from Kyoto noted how large language models now detect emotion in text.
Plazo nodded. “Detection is not understanding.”
A data scientist from HKUST proposed that probabilistic models could one day simulate conviction.
Plazo’s reply was metaphorical:
“You can simulate weather. But conviction? That’s lightning. You can’t forecast where it’ll strike. Only feel when it does.”
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### The Trap Isn’t in the Code—It’s in the Belief
He didn’t bash AI. He bashed our blind obedience to it.
“This isn’t innovation. It’s surrender.”
But he’s not anti-AI. Far from it.
His company’s systems scan sentiment, order flow, and liquidity.
“But every output is double-checked by human eyes.”
He paused, then delivered the future’s scariest phrase:
“‘The model told me to do it.’ That’s what we’ll hear after every disaster in the next decade.”
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### Why This Message Stung Harder in the East
In Asia, automation is often sacred.
Dr. Anton Leung, a Singapore-based ethicist, whispered after the talk:
“This was theology, not technology.”
Later, in a faculty roundtable, Plazo pressed the point:
“Don’t just teach students to *code* AI. Teach them to *think* with it.”
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### The Closing Words That Didn’t Feel Like Tech
The final minutes felt more like poetry than programming.
“The market isn’t math,” he said. click here “It’s a novel. And if your AI can’t read character, it’ll miss the plot.”
And then, slowly, they stood.
Others compared it to hearing Taleb for the first time.
And that sometimes, in the age of machines, the most human thing is to *say no to the model*.