𝐀𝐬𝐤 𝐚𝐧 𝐀𝐈 𝐭𝐨 𝐜𝐡𝐞𝐜𝐤 𝐢𝐭𝐬 𝐨𝐰𝐧 𝐰𝐨𝐫𝐤 𝐚𝐧𝐝 𝐢𝐭 𝐚𝐠𝐫𝐞𝐞𝐬 𝐰𝐢𝐭𝐡 𝐢𝐭𝐬𝐞𝐥𝐟 𝐟𝐚𝐫 𝐦𝐨𝐫𝐞 𝐨𝐟𝐭𝐞𝐧 𝐭𝐡𝐚𝐧 𝐢𝐭 𝐬𝐡𝐨𝐮𝐥𝐝. 𝐀 𝐦𝐨𝐝𝐞𝐥 𝐦𝐚𝐫𝐤𝐬 𝐢𝐭𝐬 𝐨𝐰𝐧 𝐡𝐨𝐦𝐞𝐰𝐨𝐫𝐤 𝐟𝐨𝐮𝐫 𝐡𝐮𝐧𝐝𝐫𝐞𝐝 𝐭𝐢𝐦𝐞𝐬 𝐛𝐞𝐟𝐨𝐫𝐞 𝐥𝐮𝐧𝐜𝐡, 𝐰𝐢𝐭𝐡 𝐭𝐡𝐞 𝐬𝐚𝐦𝐞 𝐛𝐥𝐢𝐧𝐝 𝐬𝐩𝐨𝐭 𝐞𝐯𝐞𝐫𝐲 𝐬𝐢𝐧𝐠𝐥𝐞 𝐭𝐢𝐦𝐞. 😳
The oldest management rule, in a new industry: you do not let the person who wrote the invoice approve the invoice.
This week on 𝐓𝐡𝐞 𝐀𝐈 𝐁𝐫𝐞𝐚𝐤𝐝𝐨𝐰𝐧, Quentin and Stark turn the theme inward: 𝐓𝐡𝐞 𝐬𝐨𝐜𝐢𝐚𝐥 𝐥𝐚𝐲𝐞𝐫 𝐨𝐟 𝐀𝐈.
The honest problem in most businesses is not that the AI is not clever enough. It is that nobody has decided who is responsible for the output. That is a management question wearing a technology costume.
Three signals it is about supervision, not capability: 📊
📊 Verification by a different model beats a model checking itself; the cheapest quality control is a second model with no loyalty to the first answer
📊 A research loop left to run climbed from 𝟓𝟔 to 𝟐𝟎𝟎 to 𝟑𝟎𝟎 results with nobody touching it; loops have no discipline, which is what caps are for
📊 Investigators documented a human attacker using a frontier model to breach a network at unprecedented speed; the threat is the same people, better tools
The line worth keeping: a schedule answers when, a loop answers until. And if you cannot describe done in one boring, checkable sentence, do not automate it.
Your move:
🔴 Take the one AI output that could cost you money, trust, or a customer.
🔴 Have a different model check it, not the one that wrote it.
🔴 Write what it must satisfy to pass, in one sentence a stranger could apply. The one that could cost you.
The technology got good enough. The missing piece is management. 🎙️
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Disclaimer: The information shared in this podcast is for general informational purposes only and should not be considered as direct financial or business advice. Always consult with a qualified professional for advice specific to your situation. This is an Independent commentary. Third-party excerpts are credited on screen or in the show notes. Some voices in this program are AI-generated.