Everyone's talking about AI almost acing the Putnam exam. They're missing the real opportunity. Here's what smart leaders will do with this shift ↓
An AI math model just scored 118/120 on one of the hardest human exams on the planet.
And it did more than “solve problems.”
It learned to reason, check itself, and repair its own logic.
Researchers trained a separate AI to verify whether a proof is sound.
Then they trained the solver AI to write proofs the verifier would accept.
The system now rereads its own arguments, finds gaps, and fixes them.
That’s not just a math story.
That’s a blueprint for how you should be building teams and systems.
Your top performers of the next 3 years won’t just be people or AI.
They’ll be human–AI pairs that can:
• Explore complex ideas
• Challenge their own assumptions
• Iterate until the answer is rock solid
↳ How to apply this now:
• Give AI the “first draft” work: analysis, summaries, options
• Keep humans as verifiers: judgment, ethics, context
• Build loops where AI proposes, humans critique, AI refines
Companies that treat AI as a calculator will get small gains.
Companies that treat AI as a junior thinker with a built‑in verifier will transform how they solve hard problems.
The real advantage won’t be who has AI.
It will be who learns to reason with it.
What’s your experience so far: is AI just speeding you up, or actually helping you think better?
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