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1. Charles hoskinson interview how to#
2. Charles hoskinson interview software#
3. Charles hoskinson interview plus#

We paid a large, huge price on the front end, but now it's going to start paying dividends on the backend and in the foreseeable future. So, we're much more concise, things are more modular, they’re more simple, and as a consequence, they're much easier for people to work with and eventually understand. Despite the fact that we have all of this complexity on the science side, our actual implementation, the actual codebase is about half the size of Bitcoin’s. This is just a consequence of spending years of engineering effort, carefully thinking things through and simplifying things as much as possible. Image via also feel we have a product that's the most extensible, meaning that you can add things to it very rapidly and it works well. We feel we also are quickly getting to a point where we have the product that's easiest to list for exchanges, both as staking as a service and as just holding the asset.Ĭharles Hoskinson. We feel we have the product with the best smart contract model and asset issuance model that brings a lot of competitive things to the table. We feel we have the fastest product, we have the most secure product, we feel we have a product that can be the most decentralized. We've gotten to a point where we feel we have the best product from every dimension.

So when we tried to put a commercial product into that kind of culture, that was a huge challenge for us as well.īut, we've overcome those challenges in that respect. They have the luxury of taking a semester off or holiday and there's always next semester. They're not accountable to two-week sprints.

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So, that was the biggest single challenge, it was trying to figure out what the scope was going to be, how to put all these pieces together, how to execute quickly, especially with people who aren't used to executing quickly.

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So, we were saying, “Oh, we're going to do that, plus science, plus consumer engineering, and we're going to get this all done in around 24 months.” No one has ever done that before in any computer science project. But generally speaking, these systems take years to implement. So, it had some nascent bugs that crashed the plane.

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When software was bad, like for example, the Boeing 737 MAX, they didn't use formal methods at the construction of that system. There are examples of where things have not worked well. That's one of those things that just can't fail. The braking systems on the trains use formal methods because you'd like to know that when the train tries to brake, it's gonna brake, otherwise everybody dies on the train. But, for example, just the use of formal methods, there are several projects that do that.

The big challenge was trying to accelerate things that ordinarily do not accelerate well. So, the big challenge was managing expectations. We're building a Ferrari, but there’s market expectation of delivering a Toyota. The problem is that we're expected to bring this to market as quickly as Ethereum brings things to market, as quickly as other people bring things to market. There's just so much stuff that's going into the development of Cardano that we kind of over-engineered things, in a certain respect.

There have certainly been some attempts, like Algorand and Tezos and others who have a slightly more formal methodology, but we're dealing with it in every aspect of the product: the network stack we designed our own programming languages we designed our own consensus protocol we designed our ledger rules we designed a method to actually write those rules down. Exclusive Interview with Dan Larimer on Voice, EOSIO’s Plans, and Mass Adoption