The scene was set for celebration. But what happened instead left the audience reeling.
In the sunlit academic halls of UP Diliman, 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 Opening That Made Them Stop Breathing
Some call him the architect of near-perfect trading machines.
So when he took the stage, the room went still.
“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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### A Lecture or a Lament?
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 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
His fear isn’t code—it’s the cult.
“Some traders no longer read. No longer think. They just wait for signals.”
Still, he clarified: AI belongs in the cockpit—not in the captain’s seat.
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
Across Asian tech hubs, AI is gospel.
Dr. Anton Leung, a Singapore-based ethicist, check here whispered after the talk:
“He reminded us: tools without ethics are just 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.