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 explore the future of investing through algorithms.
They expected Plazo to preach automation, unveil breakthroughs, and fan their enthusiasm.
Instead, they got silence, contradiction, and truth.
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### The Opening That Made Them Stop Breathing
Some call him the architect of near-perfect trading machines.
So when he took the stage, the room settled.
“AI can beat the market. But only if you teach it when not to try.”
The murmurs stopped.
It challenged everything the crowd believed.
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### What Followed Was Not a Pitch, But a Meditation
There were no demos, no dashboards, no datasets.
He displayed machine misfires— bots confused by sarcasm, making billion-dollar errors in milliseconds.
“Most AI is trained on yesterday. Investing happens tomorrow.”
Then, with a pause that felt like a punch, he asked:
“Can your AI feel the fear of 2008? Not the charts. The *emotion*.”
No one answered. They weren’t supposed to.
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### But What About Conviction?
They didn’t sit quietly. These were doctoral minds.
A PhD student from Kyoto noted how large language models now detect emotion in text.
Plazo nodded. “Knowing someone’s angry doesn’t tell you why—or what comes next.”
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 Real Problem Isn’t AI. It’s Us.
He didn’t bash AI. He bashed our blind obedience to it.
“People are worshipping outputs like oracles.”
Yet his own firm uses AI—but wisely.
His company’s systems scan sentiment, order flow, and liquidity.
“But every output is double-checked by human eyes.”
And with grave calm, he said:
“‘The model told me to do it.’ That’s what we’ll hear after every disaster in the next decade.”
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### The Warning That Cut Through the Code
Across Asian tech hubs, AI is gospel.
Dr. Anton Leung, a Singapore-based ethicist, whispered after the talk:
“He reminded us: tools without ethics are just website sharp objects.”
In a private dialogue among professors, Plazo pressed the point:
“Don’t just teach students to *code* AI. Teach them to *think* with it.”
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### No Clapping. Just Standing.
The crowd expected a crescendo. They got a challenge.
“The market isn’t math,” he said. “ It’s human, messy, unpredictable. And if your AI can’t read character, it’ll miss the plot.”
No one moved.
Some said it reminded them of Jobs at Stanford.
He came to remind us: we are still responsible.