Google joins Hedera Hashgraphs Governing Council

Insureblocks
|

Automatic TRANSCRIPT

Man's. Thank you for joining us today for our listeners. Thank you great to be back. It is great to have you back and for our listeners. Who Haven't heard you on our previous podcast. Can you please give them a quick introduction on Yourself Asher So my name is harmon? I'm one of the CO founders of their Hash craft alongside Dr Leeman Baird We've been working together. Lehman I for twenty six years always in deep tack. The we've done reinforcement learning or machine learning research for the Air Force. We talked computer. Science at the Air Force Academy cybersecurity managed massive software program for the Missile Defense Agency and then decided we wanted to become entrepreneurs and this is our third startup we to prior startups in the space of identity and access management and sold one to Fortune. Five hundred the other private equity and Leman wanted to solve a really hard math problems specifically how you can achieve the limits in terms of security in a consensus algorithm distributed consensus algorithm simultaneous to maximizing performance. How you can do both at the same time. And after of hard work he invented the Hash. Graph which is consensus algorithm like blockchain is a consensus algorithm. Has Graph is an alternative approach that has fantastic properties again both in terms of security and performance and we decided to take that tha market and here. We are years later now with their hash graph. Brilliant end in that one answer. You've athlete answered the next two questions. All I can one so fishing deeper interested. Yeah Yeah I mean I think it will be useful is because one of our typical questions is please define what is blockchain and Like we did in the last podcast if you perhaps could have another go at it and at the same time point out the differences between Blockchain and a hash graph. Why Hash crowd is so much more efficient than Blockchain system sure well blockchain as a term refers to two things it refers to a data structure. Which is a chain of blocks of transactions? And it's very serious just like it sounds in the way it's created and it also the the term also refers to a consensus algorithm that enables a community of of participants each of which that holds a local copy of that chain of blocks to come to agreement or consensus on which block to put next on the top of that chain in their by everyone keeps a consistent chain of blocks and often. It's proof of work. You know the use of a really hard cryptographic puzzle into novel ways that makes it possible for the community to to come to consensus on on which blocks you go on top of of the chain. But it's designed to be slow and it. The use of proof of work causes it to be slow and The the fact that there is a single chain that everyone uses also limiting in terms of its architecture hash graph similarly is a term that refers to both a data structure in this case. It's a graph in the mathematical sense. It's a graph that is whose nodes are or verticals are linked together with Hashes gripped graphically in. So it's a data structure in there's also consensus algorithm. That makes it possible for those that have a copy of the Hash graph to calculate how each other how the other nodes in the network would vote on the order of transactions and so they come to to agreement on the order of transactions that get captured in this in this graph because it's a graph rather than a chain all of the transactions. They're flowing into the network can be processed simultaneously. There is no need for proof of work. This process that slows down blockchain to give the community time to come to agreement. There's no need for any of that and so we've basically eliminated the too constraining factors. Proof of work is no is not there. And it's a graph. Instead of a chain and the result of that is fantastic performance in it's got some great theoretical properties specifically it does achieve the limit in terms of security at something called a synchronous. Byzantine fault tolerance. It's the best one can do and in its novel in those ways Brilliant thank you very much for that and we had actually gymnasts or very recently. Come on our show. He's the CEO of core and he was telling us about how he build his colonel virus tracker using Darah Hash craft for exactly the same properties. You just described now. We've had you on this show for about ten ten eleven months ago. What industries and geographies are we seeing the most adoption of our has graph? Well I wouldn't say that there's geography necessarily. That is adopting. Maybe more than than another and the industry's when thinking about the industries. It's it's also it's more like this. It's not really that there is necessarily one industry. That is adopting faster than another but the way I would sort of segment the market or break it down in terms of what is adopting versus. Not Is that. There are a lot of enterprise use cases that are being presented in that. We're you know we're working on with partners and council members that are kind of boring in nature in some ways. What I find interesting is that while most of the market is looking for a really sexy killer. Commercial consumer focused use case. You know everybody's looking for that killer APP. That is primarily focused on building a big consumer focused use case. Our experience is just the opposite. It's for example as a category just audit based applications where you WANNA take some information in get a consensus time stamp on it and use that in various ways maybe their regulatory related. Maybe you need to be able to to just store information improve that it. It was what you claim. It was on a on a given date. There's just a whole broad range of business to business process optimization focused use cases that I think are the ones that are going to end up being the ones that take the whole market Mainstream or result in its mass adoption. And so that's the distinction that I'm seeing. It's it's not a one particular industry or one geography is more focused on B. Two B. process optimization versus consumer focused applications

Coming up next