I realized that if you have a source of time in a network, you can build a more efficient system that utilizes the entire bandwidth allocated to it, unlike traditional protocols that suffer from inefficiencies.

The key insight is to architect problems with as few dependencies as possible, allowing for multiple independent bets to be made in parallel.

The modular approach allows for scalability; once we establish a strong link between two modules, we can expand to many more without significant additional complexity.

The approach to scalability in quantum computing involves creating small, efficient quantum modules that can be linked together, rather than trying to scale up a single large quantum computer, which presents numerous challenges.

We focused on one approach rather than spreading our resources too thin, which is a key takeaway for startups.

Our initial alpha version wasn't very modular or scalable, but we've reworked the entire system to create an extremely scalable and modular solution.

I had a Eureka moment over two coffees and a beer, which led to my rediscovery of verifiable delay functions, a key concept for building scalable blockchain solutions.

The shift from scaling up to scaling out in technology means moving towards more distributed computing, which allows for greater accessibility and lower costs.

Our group investigates the hypothesis that large amounts of compute can solve interesting problems using neural networks, which has led to significant advancements in unsupervised learning at scale.