Joseph Plazo Didn’t Come to Preach Automation. He Came to Warn Us.
Joseph Plazo Didn’t Come to Preach Automation. He Came to Warn Us.
Blog Article
The scene was set for celebration. What unfolded was a reckoning.
In the sunlit academic halls of UP Diliman, 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 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—algorithms buying at peaks, shorting at troughs, mistaking irony for euphoria.
“These systems are reflections—not predictions.”
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*.”
You could hear a breath fall.
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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. “Feeling isn’t forecasting.”
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.”
But he’s not anti-AI. Far from it.
His company’s check here 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.”
That afternoon, over tea and tension, 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.
And that sometimes, in the age of machines, the most human thing is to *say no to the model*.