When AI Met Its Human Reckoning
When AI Met Its Human Reckoning
Blog Article
The scene was set for celebration. What unfolded was a reckoning.
At the University of the Philippines' famed lecture theater, delegates from NUS, Kyoto, HKUST, and AIM assembled to witness the gospel of AI in finance.
They expected Plazo to hand them a blueprint to machine-driven wealth.
They were wrong.
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### When a Maverick Started with a Paradox
Joseph Plazo is no stranger to accolades.
As he stepped onto the podium, 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 challenged everything the crowd believed.
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### A Lecture or a Lament?
Plazo didn’t pitch software.
He projected mistakes—algorithms buying at peaks, shorting at troughs, mistaking irony for euphoria.
“Most models,” he said, “are just statistical mirrors of the past.
Then, with a pause that felt like a punch, he asked:
“ Can it compute the panic of dominoes falling on Wall Street? Not the charts. The *emotion*.”
The silence became the answer.
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### The Smartest Students in Asia Push Back
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
His fear isn’t code—it’s the cult.
“This isn’t innovation. It’s surrender.”
But he’s not anti-AI. check here Far from it.
His company’s systems scan sentiment, order flow, and liquidity.
“But every output is double-checked by human eyes.”
Then came the killer line:
“‘The model told me to do it.’ That’s what we’ll hear after every disaster in the next decade.”
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### Asia’s Enthusiasm, Interrupted
Nowhere does AI have more believers than Asia.
Dr. Anton Leung, a Singapore-based ethicist, whispered after the talk:
“What Plazo gave us was oxygen in a burning house.”
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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### 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.”
And then, slowly, they stood.
Others compared it to hearing Taleb for the first time.
He came to remind us: we are still responsible.