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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
The Human Sub-Routine
How “human-in-the-loop” might have the loop backwards
Oct 30 • 
Tabrez Syed
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
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
Why AI Made Expert Radiologists Worse
The collaboration skill that separates amateurs who win from experts who fail
Oct 2 • 
Tabrez Syed
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
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
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
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