The Future of Trust via Blockchain, Eli Ben Sasson, Co-Founder, President & Chairman of the Board, StarkWare

Future of Tech

Establishing trust between people and institutions is extremely important. But there are pitfalls to the current methods we all use to establish trust. Many people lack trust in huge centralized systems given their size, subsequent power, and lack of transparency. On the other hand, decentralized systems with democratizing ideas intended to build trust are often difficult to execute at scale, especially at the pace required to keep up with technological acceleration.

On this episode of Future of Tech, Eli Ben Sasson (@elibensasson), Co-Founder, President & Chairman of the Board at StarkWare (@starkwareltd), discusses his alternative approach, which involves using math in order to build trust. A math proof, he explains, can offer broad verification across a great amount of data between parties by checking the computation at specific points. In layman’s terms, that means the issue of scalability is solved while also reducing cost. And these zero-knowledge proofs also provide the added benefit of privacy since there is no information shared about any of the parties involved beyond the computation. Most importantly, since the math is objective, correct, and verifiable trust among all parties increases. So what does this all mean for the future of trust in business and tech? Find out on this episode!

Main Takeaways:

• Magical Math: Math proofs are magical because a computation checked only in certain places can verify that an overall relationship, potentially including many parties, is working as intended. This allows for a tremendous amount of transactions at great speed while also providing verifiable certainty that everything is functioning according to plan.
• Zero-Knowledge is Good: Zero-Knowledge may sound bad to the layperson but it’s really an under-valued solution to major problems. The zero-knowledge proof gives certainty in the computation by only analyzing particular points in a system. As an added benefit, It offers no additional information about any entity involved in the computation. This ensures certainty and privacy.
• Theoretical Beauty Meets Practicality: The theoretical world can be intellectually stimulating. Doing work that has tangible real-world results is also meaningful. In one’s work, connecting the theoretical with practical applications can provide deep satisfaction.
• Making Meaning via Passion and Optimism: Passion is when someone does what is most meaningful to them. Optimism allows a person to stretch and try something new despite the potential for failure. In fact, optimism increases one’s chances of finding a solution to a problem. Both passion and optimism play vital roles in creating new meaning for the individual and, potentially, for the world.

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