Joseph Plazo’s Radical Take on the Limits of Intelligence—Artificial and Otherwise
Joseph Plazo’s Radical Take on the Limits of Intelligence—Artificial and Otherwise
Blog Article
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 see the future of trading laid bare by machines.
They expected Plazo to preach automation, unveil breakthroughs, and fan their enthusiasm.
They were wrong.
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### The Sentence That Changed the Room
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 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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### 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 click here 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:
“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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### Sermon on the Market
The ending was elegiac, not technical.
“The market isn’t math,” he said. “It’s a novel. And if your AI can’t read character, it’ll miss the plot.”
The room froze.
It wasn’t ovation. It was reverence.
Plazo didn’t come to praise AI.