$TGD
Fading QuicklySnapshot Window: 2026-07-14 05:40 UTC ยท โ Back to Crypto Overview
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True open intelligence relies on two things: data and the ability to reason on it. Watch as @AveryChing while on @theindexshow podcast explains how Aptos Labs is building "Shelby" to lay the groundwork for decentralized data storage, advanced prediction markets, and improved ad [Spoken audio]: And so this is an area where we've been really thinking about a product called Shelby we've been building for over a year now. It was built with the idea that decentralized kind of storage needed a high performance, very powerful solution that could compete with today's cloud providers and hyperscalers in terms of performance reliability even be more reliable because it's actually got servers span throughout different kinds of infrastructures that are more tolerant to that but yet with the performance and costs which is a win like egress fees are a challenge for anyone who uses cloud infrastructure you have to stay within cloud or pay massive fees to get out and it was it was a good starting point but that system is now evolved to be the centerpiece of how we think about the data side and also like you said I think great term open intelligence. Intelligence comes from two things. It comes from data and our ability to reason on that data. So you have LLMs that are providing the reasoning capabilities and you have the data which we are providing openly. But if we want to bet on other statistics or take wages on the statistics besides just the core score, maybe derived metrics I think shall be a great use case for storing larger sets of data and then providing more advanced prediction markets for different types of consumers. We also see the use case of Shelby being important for different kinds of systems around even ads. Ad's transparency in ads and fraud in ads is a big challenge in the space and there are so many kinds of approaches in terms of providing more transparency to ad impressions, ad clicks.
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