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Brown M&Ms: Why Verifying AI Works Matters as Much as Making It Work

What Van Halen can teach us about delegating complex work

Nov 13 • 

Tabrez Syed

1

Why AI Doesn’t Need to Work Perfectly to Win

The lesson from 1929: When technology unlocks impossible capabilities, adoption doesn’t wait for reliability—it happens when something impossible…

Nov 6 • 

Tabrez Syed

1

October 2025

The Human Sub-Routine

How “human-in-the-loop” might have the loop backwards

Oct 30 • 

Tabrez Syed

2

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The Everything Agent Comes for the Everything Store

How OpenAI is trying to do to Amazon what Amazon did to retail

Oct 23 • 

Tabrez Syed

The Promise to Pay the Agent

How a 14th-century merchant’s solution to moving money foreshadows AI commerce—and its risks

Oct 16 • 

Tabrez Syed

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From Chat to Glasses: Platform Wars Evolve

OpenAI’s Apps SDK validates the CPU-or-OS question—but the real platform battle might be happening on your face

Oct 9 • 

Tabrez Syed

3

Why AI Made Expert Radiologists Worse

The collaboration skill that separates amateurs who win from experts who fail

Oct 2 • 

Tabrez Syed

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September 2025

When Software Becomes a Chat

How AI are companies are using the product-led-growth strategies that built big software companies

Sep 25 • 

Tabrez Syed

1

False Confidence: How Our Intolerance for Uncertainty Encouraged AI Hallucinations

How we accidentally taught AI to sound certain when it should say 'I don't know'

Sep 18 • 

Tabrez Syed

1

What If Experienced Developers Are Next?

Why senior developers might be making the same assumptions about their value that travel agents made in 1995

Sep 11 • 

Tabrez Syed

We All Have KITT Now—And KITT Has a Sales Quota

How Economic Necessity Democratizeds the World's Most Advanced Technology

Sep 4 • 

Tabrez Syed

August 2025

The All-You-Can-Eat Trap: When AI Companies Mistake Discount-Market Fit for Product-Market Fit

Why Cursor might be more like Red Lobster than Netflix

Aug 28 • 

Tabrez Syed