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What da Vinci, Tesla, and Einstein reveal about solving better problems
They Didn’t Think Faster. They Thought Differently.
Most people look for better tools to solve problems.
History’s most impactful thinkers looked for better ways to think.
Leonardo da Vinci, Nikola Tesla, and Albert Einstein weren’t just exceptional in their fields. They shared something deeper: They approached problems differently.
Their breakthroughs didn’t come from working faster or optimizing existing methods.
They came from questioning the frame itself.
The Conventional Model
We tend to assume progress comes from:
- more knowledge
- better tools
- faster execution
That model works—until it doesn’t. If the problem is framed incorrectly, better execution only gets you to the wrong place faster.
What They Did Instead
Across very different domains, a pattern emerges.
They didn’t start with answers.
They started with questions.
They didn’t accept definitions.
They examined them.
They didn’t stay in one domain.
They moved between them.
Da Vinci: Follow the Pattern
Da Vinci observed before he concluded.
He studied water, anatomy, flight—not as separate disciplines, but as expressions of underlying patterns.
He wasn’t trying to solve isolated problems.
He was trying to understand how systems behave.
That allowed insights to transfer.
What he learned in one domain informed another.
Tesla: Build It in Your Mind
Tesla didn’t begin with materials.
He constructed systems mentally—testing, refining, and iterating before anything was built.
This wasn’t imagination in the abstract.
It was structured reasoning.
He wasn’t optimizing existing designs.
He was questioning whether the design itself made sense.
Einstein: Redefine the Question
Einstein’s work began before equations.
He questioned the meaning of the concepts themselves:
- What is time?
- What is motion?
- What does it mean to observe something?
Only after reframing the problem did the math follow.
The Common Thread
Different fields. Same pattern:
- They questioned foundational assumptions
- They moved across domains
- They visualized systems from the inside
- They prioritized understanding over speed
They didn’t optimize within the system.
They changed the system.
Why This Matters Now
We’re entering a moment where execution is no longer the constraint.
AI makes this shift visible. It can generate code, content, and decisions quickly— It does not determine whether the problem is well-framed. It executes what’s specified, not what’s intended.
Which means the quality of the outcome depends less on speed— and more on how clearly the problem is defined. If the problem is unclear, misframed, or poorly defined, speed doesn’t improve the result.
It amplifies the error.
You don’t get better outcomes.
You get faster failure.
A Different Way to Approach Problems
Instead of asking:
How do we solve this?
Start with:
- What problem are we actually trying to solve?
- What assumptions are built into how we’ve defined it?
- What would have to be true for this approach to work?
- What changes if we look at this from a different domain?
The goal isn’t just to solve problems.
It’s to solve the right ones.
AI doesn’t remove the need for thinking.
It removes the buffer that used to hide poor thinking.
Final Thought
History’s most impactful thinkers didn’t succeed because they worked harder or faster.
They succeeded because they saw differently.
They understood that before you improve a solution,
you have to examine the problem.
That hasn’t changed.
If anything, it matters more now than ever.