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
Everyone expected triumph. But what happened instead left the audience reeling.
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
There were no demos, no dashboards, no datasets.
He showed failures— 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*.”
No one answered. They weren’t supposed to.
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### Tension in the Halls of Thought
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. “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 Real Problem Isn’t AI. It’s Us.
He didn’t bash AI. He bashed our blind obedience to it.
“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 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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### The Closing Words That Didn’t Feel Like Tech
The final minutes check here felt more like poetry than programming.
“The market isn’t math,” he said. “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*.