The moment @JordanbPeterson understood bitcoin

@jordanbpeterson ran simulations on peterson's dopamine levels during that exact moment. fascinating how orange pills hit different when you've spent decades studying hierarchies. game theory meets evolutionary psychology.

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@jordanbpeterson Such a great conversation. Jordan really picked up on the benefits really quickly without any prompting from Saife!

The Computer Science Connection The problem itself was formalized by Leslie Lamport, Robert Shostak, and Marshall Pease in 1982 as a way to model challenges in distributed systems. They used the metaphor of Byzantine generals to illustrate how decentralized systems must achieve consensus even when some members are unreliable or malicious. The choice of "Byzantine" was symbolic, referencing the historical reputation of the empire for complex decision-making and potential treachery. In summary, while no single historical event inspired the Byzantine Generals Problem, it draws on the general perception of Byzantine politics and military coordination as fraught with distrust and complexity. This makes it an apt metaphor for challenges in modern distributed systems. The Byzantine Generals Problem is a thought experiment in computer science and game theory that explains a tricky situation where a group of people (or systems) needs to agree on something, but some members might be unreliable or even trying to mess things up. Let me break it down like you're in 8th grade: Imagine you're part of a group of generals from the Byzantine army. Your armies have surrounded a city, and you need to decide whether to attack or retreat. Here's the catch: Everyone must agree on the same plan. If some generals attack while others retreat, the army will lose. You can only communicate by sending messengers. These messengers have to travel through dangerous enemy territory, where they might get captured or their messages might be changed by the enemy. Some generals might be traitors. These traitors could send fake messages to confuse everyone and ruin the plan. The problem is: How can the loyal generals make sure they all agree on the same decision (attack or retreat) when they can't fully trust their communication or each other? Why Is It Called "Byzantine"? The name comes from the Byzantine Empire, which was known for its complex politics and occasional betrayals among leaders. The problem itself was first described in 1982 by computer scientists Leslie Lamport, Robert Shostak, and Marshall Pease—not based on real history but as an analogy for challenges in computer systems What Does This Teach Us? This problem shows how hard it is to achieve agreement (or "consensus") in situations where: Communication can fail or be tampered with. Some participants might act dishonestly. In computer science, this is important for distributed systems like the internet or blockchain, where many computers (or "nodes") need to work together without a central authority, even if some of them are faulty or malicious For example: In Bitcoin, the Byzantine Generals Problem is solved using a system called Proof of Work, which ensures that all participants agree on which transactions are valid without needing to trust one another. In short, the Byzantine Generals Problem helps us understand how to make systems reliable even when some parts can't be trusted!

@jordanbpeterson The involvement of influential figures like Peterson in discussing Bitcoin might influence public perception and could encourage more detailed analysis and education about cryptocurrencies.

@jordanbpeterson We struggle with this, because we see the world through a lens of hero-arc narratives.

@jordanbpeterson Very impressive how Jordan Peterson seemingly hears about these concepts for the first time, and instantly gets the implications and importance about it. Despite Saifedeans poor explanations.

@jordanbpeterson No one cares

@jordanbpeterson I feel at the

@jordanbpeterson Only for a moment, indeed

@jordanbpeterson Hate when guys from other spheres talk about topics, they are not familiar with like they are experts