2019 Fintech & Financing Conference and Expo: FEARLESS, April 3-4, Toronto Canada

Navigating Bitcoin, Ethereum, XRP: How Google Is Quietly Making Blockchains Searchable

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Forbes | | Feb 4, 2019

It’s a balmy 80 degrees on a mid-December day in Singapore, and something is puzzling Allen Day, a 41-year-old data scientist. Using the tools he has developed at Google, he can see a mysterious concerted usage of artificial intelligence on the blockchain for Ethereum.

Ether is the world’s third-largest cryptocurrency (after bitcoin and XRP), and it still sports a market cap of some $11 billion despite losing 83% of its value in 2018.

Peering into its blockchain—the distributed database of transactions underpinning the cryptocurrency—Day detects a “whole bunch” of “autonomous agents” moving funds around “in an automated fashion.”

While he doesn’t yet know who has created the AI, he suspects they could be the agents of cryptocurrency exchanges trading among themselves in order to artificially inflate ether’s price.

“It’s not really just single agents doing things on their own,” Day says from Google’s Asia-Pacific headquarters. “They’re forming with other agents to have some larger group effect.”

Day’s official title is senior developer advocate for Google Cloud, but he describes his role as “customer zero” for the company’s cloud computing efforts. As such it’s his job to anticipate demand before a product even exists, and he thinks making the blockchain more accessible is the next big thing. Just as Google enabled (and ultimately profited) from making the internet more usable 20 years ago, its next billions may come from shining a bright light on blockchains. If Day is successful, the world will know whether blockchain’s real usage is living up to its hype.

See:  Humans on the Blockchain: Why Crypto Is the Best Defense Against AI Overlords

Last year Day and a small team of open-source developers quietly began loading data for the entire Bitcoin and Ethereum blockchains into Google’s big-data analytics platform, BigQuery. Then, with the help of lead developer Evgeny Medvedev, he created a suite of sophisticated software to search the data.

In spite of a total lack of publicity, word of the project spread quickly among crypto-minded coders. In the past year, more than 500 projects were created using the new tools, trying to do everything from predicting the price of bitcoin to analyzing wealth disparity among ether holders.

When it comes to cloud computing, Google is far behind Amazon and Microsoft. Last year Google pocketed an estimated $3 billion in revenue from cloud ser­vices. Amazon and Microsoft, meanwhile, generated about $27 billion and $10 billion, respectively.

Day is hoping that his project, known as Blockchain ETL (extract, transform, load), will help even the playing field. But even here Google is trying to catch up. Amazon entered blockchain in a big way in 2018 with a suite of tools for building and managing distributed ledgers. Microsoft got into the space in 2015, when it released tools for Ethereum’s blockchain. It now hosts a range of services as part of its Azure Blockchain Workbench. But while Amazon and Microsoft are focusing on making it easier to build blockchain apps, Day is focusing on exposing how blockchains are actually being used, and by whom.

“In the future, moving more economic activity on chain won’t just require a consensus level of trust,” says Day, referring to the core validating mechanism of blockchain technology. “It will require having some trust in knowing about who it is you’re actually interacting with.” In other words, if blockchain is to go mainstream, some of its beloved anonymity features will have to be abandoned.

A native of Placer County, California, Day got his first computer at the age of 5 and a few years later started writing simple programs. A fascination with volcanoes and dinosaurs turned his interest to life sciences, and he ultimately graduated from the University of Oregon with a dual degree in biology and Mandarin in 2000. From there he headed to UCLA to pursue a doctorate in human genetics and helped build a computer program to browse the genome.

Visualizing The XRP Blockchain

It was at UCLA where Day began relying on distributed computing, a concept that is core to blockchains, which store their data on a large network of individual computers. In the early 2000s Day needed to analyze the massive amounts of data that make up the human genome. To solve this problem he hooked many small computers together, vastly increasing their power.

See:  Blockchain’s potential will continue to spur public and private investment

“Distributed-systems technology has been in my tool kit for a while,” Day says. “I could see there were interesting characteristics of blockchains that could run a global supercomputer.”

Hired in 2016 to work in the health and bio­informatics areas of Google, Day segued to blockchains, the hottest distributed-computing effort on the planet. But the talents he had honed—sequencing genomes for infectious diseases in real time and using AI to increase rice yields—were not easily applied to decoding blockchain.

Before Day and Medvedev released their tools, just searching a blockchain required specialized software called “block explorers,” which let users hunt only for specific transactions, each labeled with a unique tangle of 26-plus alphanumeric characters. Google’s Blockchain ETL, by contrast, lets users make more generalized searches of entire ecosystems of transactions.

To demonstrate how customers could use Blockchain ETL to make improvements to the crypto economy, Day has used his tools to examine the so-called hard fork, or an irrevocable split in a blockchain database, that created a new cryptocurrency—bitcoin cash—from bitcoin in the summer of 2017.

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