THE KEYNOTE THAT SHATTERED AI MYTHS IN MANILA

The Keynote That Shattered AI Myths in Manila

The Keynote That Shattered AI Myths in Manila

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It was supposed to be a coronation of machine supremacy. But what happened instead left the audience reeling.

In the sunlit academic halls of UP Diliman, Asia’s brightest students—engineers, economists, AI researchers—converged to explore the future of investing through algorithms.

They expected Plazo to preach automation, unveil breakthroughs, and fan their enthusiasm.
Instead, they got silence, contradiction, and truth.

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### The Opening That Made Them Stop Breathing

He’s built AI systems with mythic win rates.

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 murmurs stopped.

That sentence wasn’t just provocative—it was prophetic.

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### What Followed Was Not a Pitch, But a Meditation

There were no demos, no dashboards, no datasets.
He showed failures— bots confused by sarcasm, making billion-dollar errors in milliseconds.

“Most AI is trained on yesterday. Investing happens tomorrow.”

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. “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 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 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 here 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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### 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.”

No one moved.

Some said it reminded them of Jobs at Stanford.

Plazo didn’t come to praise AI.

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