The Keynote That Shattered AI Myths in Manila
The Keynote That Shattered AI Myths in Manila
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 explore the future of investing through algorithms.
They expected Plazo to hand them a blueprint to machine-driven wealth.
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 settled.
“AI can beat the market. But only if you teach it when not to try.”
The note-taking paused.
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 your AI feel the fear of 2008? Not the charts. The *emotion*.”
You could hear a breath fall.
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### But What About Conviction?
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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### 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.”
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
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 more info 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 tragedy, a comedy, a thriller—written by humans. 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.