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Good morning to all new and old readers! Here is your Saturday edition of Faster Than Normal, exploring the stories, ideas, and frameworks of the world’s most prolific people and companies—and how you can apply them to build businesses, wealth, and the most important asset of all: yourself. 

Today, we’re covering Stephen Wolfram and his journey to revolutionizing the world of science, technology, and computation through relentless innovation and groundbreaking contributions.

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What you’ll learn:

• How Stephen Wolfram’s determination shaped his groundbreaking career

• Lessons on cultivating diverse interests, documenting your work meticulously, and maintaining intellectual curiosity

• Quotes on understanding, progress, and human purpose

Cheers,

Alex

P.S. Send me feedback on how we can improve. We want to be worthy of your time. I respond to every email.

Stephen Wolfram

Stephen Wolfram's journey is one of intellectual curiosity and the relentless pursuit of knowledge. Born in London in 1959, Wolfram showed exceptional promise from an early age. He wasn't your typical child prodigy. He struggled with arithmetic but excelled in abstract thinking.

"As a young child, Wolfram had difficulties learning arithmetic," his biography notes. Yet this early challenge didn't deter him. If anything, it fueled his desire to understand the underlying principles of mathematics and science.

Wolfram's opportunity came early. By 15, he was already publishing scientific papers. He left Eton College prematurely in 1976, eager to dive deeper into the world of academia. At 17, he entered Oxford University, and by 20, he had earned his PhD in theoretical physics from Caltech.

But Wolfram's path wasn't without obstacles. The academic world can be rigid, often resistant to new ideas. Wolfram's unconventional approach and ambitious goals sometimes put him at odds with the established norms.

"I'm committed to seeing this project done. To see if within this decade we can finally hold in our hands the rule for our universe, and know where our universe lies in the space of all possible universes," Wolfram once said. This determination, bordering on obsession, has been both his driving force and his challenge.

Wolfram's big break came with the creation of Mathematica in 1988. This powerful software system revolutionized how scientists, engineers, and mathematicians approach complex problems. But Wolfram didn't stop there.

In 2009, he launched Wolfram|Alpha, a computational knowledge engine. "It's always amazing when things suddenly 'just work'. It happened to us with Wolfram|Alpha back in 2009," Wolfram reflected.

The success of these ventures transformed Wolfram from a brilliant academic into a successful entrepreneur. Wolfram Research, the company he founded in 1987, has become a leader in technical computing.

But for Wolfram, success isn't measured solely in financial terms. His wealth has allowed him to pursue ambitious scientific projects, like his work on cellular automata and his quest for a fundamental theory of physics.

"What will limit us is not the possible evolution of technology, but the evolution of human purposes," Wolfram once said. This philosophy underscores his approach to both business and science.

Today, Wolfram is recognized as a pioneer in computational thinking. His work spans decades and disciplines, from physics to computer science to artificial intelligence. He's authored groundbreaking books, developed revolutionary software, and continues to push the boundaries of what's possible in computation.

Lessons

Lesson 1: Cultivate diverse interests. Don't limit yourself to a single discipline. Wolfram's success stems from his ability to blend computer science, physics, and entrepreneurship. His work on Mathematica and Wolfram|Alpha draws from multiple fields. This interdisciplinary approach allows you to see connections others might miss. As Wolfram puts it, "Thinking about things and trying to understand the principles of them is something that has proven very valuable to me both in science and in life in general."

Lesson 2: Document your work meticulously. Wolfram is known for his detailed documentation of his work and ideas. His extensive writings and personal archives have allowed him to revisit and build upon past ideas. You should develop a system for recording your thoughts, experiments, and results. This practice can help you track your progress, refine your ideas, and potentially uncover new insights. Wolfram's meticulous record-keeping has enabled him to draw connections across decades of work, leading to new discoveries and innovations.

Lesson 3: Maintain intellectual curiosity. Never stop learning and exploring new ideas. Wolfram's career is characterized by constant intellectual growth and exploration. He advises, "Keep the thinking apparatus engaged when confronted with practical problems in the world, as well as when confronted with theoretical questions in science." This ongoing curiosity can lead to unexpected insights and opportunities throughout your career.

Lesson 4: Build tools that amplify your capabilities. Instead of just solving problems, create systems that help you solve entire classes of problems more efficiently. Wolfram developed Mathematica and the Wolfram Language not just as products, but as tools to accelerate his own research. He's explained, "I'm always trying to build tools that will let me do more." This approach has allowed him to tackle increasingly complex projects over time.

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Stephen Wolfram Quotes

On understanding: "If I can't understand something, then it's probably nonsense."

On progress: "The thing that got me started on the science that I've been building now for about 20 years or so was the question of okay, if mathematiadcal equations can't make progress in understanding complex phenomena in the natural world, how might we make progress?"

On human purpose: "What will limit us is not the possible evolution of technology, but the evolution of human purposes."

On innovation: "It's always seemed like a big mystery how nature, seemingly so effortlessly, manages to produce so much that seems to us so complex. Well, I think we found its secret. It's just sampling what's out there in the computational universe."

On productivity: "On a good day I might manage to write one page of the book. Other times I might spend many days working out what would end up as just a single paragraph in the notes at the back of the book."

On entrepreneurship: "Get-rich-quick schemes almost never work. Even if they sound really clever. It takes actual hard work to build things."

On fairness: "Somehow in the long run things always arrange themselves to sort of be fair. To get out what gets put in."

That’s all for today, folks. As always, please give me your feedback. Which section is your favourite? What do you want to see more or less of? Other suggestions? Please let me know.

Have a wonderful rest of week, all.

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