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
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 see the future of trading laid bare by machines.
They expected Plazo to reaffirm their belief that AI would rule the markets.
They were wrong.
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### When a Maverick Started with a Paradox
He’s built AI systems with mythic win rates.
The moment he began speaking, the room settled.
“AI can beat the market. But only if you teach it when not to try.”
The murmurs stopped.
It challenged everything the crowd believed.
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### What Followed Was Not a Pitch, But a Meditation
There were no demos, no dashboards, no datasets.
He displayed machine misfires—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 Joseph Plazo 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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### When Faith Replaces Thinking
Plazo’s core argument wasn’t that AI is broken. It’s that humans are outsourcing responsibility.
“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.”
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.”
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 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.”
The room froze.
It wasn’t ovation. It was reverence.
And that sometimes, in the age of machines, the most human thing is to *say no to the model*.