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TT

Terence Tao

06/15/25

@ Lex Fridman

With lean programming, you can create a blueprint for a problem, allowing for divide and conquer approaches where separate parts can be worked on independently.

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Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI | Lex Fridman Podcast #472

@ Lex Fridman

Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI | Lex Fridman Podcast #472

06/15/25

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Dayu Dara Permata

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Structuring your solutions is crucial; breaking down large solution sets makes them more manageable and easier to tackle.

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Software design is fundamentally about decomposing complex systems into smaller, manageable units that can be implemented independently.

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When faced with multiple potential solutions, breaking them down makes the challenges more manageable, but prioritization is essential due to limited resources.

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The best way to build software is to create an all-in-one solution rather than piecing together separate components, which can lead to inefficiencies.

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Lean programming enables collaboration on proofs at an atomic level, allowing mathematicians to work together more effectively than with traditional pen and paper methods.

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Terence Tao

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In collaboration, there's often a brainstorming process where unrealistic assumptions are made to explore potential solutions before breaking the problem into smaller sub-problems.

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If anyone can program, the nature of companies will change, moving away from traditional silos to a model where generalist problem solvers can create solutions across departments.

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When faced with limitations, like not having enough programmers, consider turning the problem around; what seems like a defect can become an asset.

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Michael Seibel

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Creating a process to build and iterate on multiple ideas quickly is more effective than waiting for the perfect solution.