DLTs/decentralized computing/AGI will enable society to dynamically align short-mid-long term interests by identifying, creating & balancing economic incentives
May 29, 2023 • 8 tweets • 2 min read
My interpretation of @IOHK_Charles recent commentary about $DAG was an attempt to discredit Constellation Network's government contract work by marginalizing it through comparison to cherry picked examples of government funded research. Its a false comparison. If he spent time
actually researching the implications of it and how it relates to the administration's priority for cybersecurity resilience using zero trust architecture design principles (ZTA), the significance would become clear. Also, the urgency of implementing JADC2 to be competitive
Dec 22, 2022 • 24 tweets • 9 min read
Excellent article explaining the disadvantages of monolithic & micro-monolithic (microlith) architectures. The same historical problems outlined with web 2.0 is what we are currently witnessing with the existing web 3.0 blockchain & smart contract paradigm oreilly.com/radar/the-evol…
The best practices of the past decade in distributed systems design needs to be adopted by web3. Shifting to a scalable micro-services architecture using reactive design principles will align us with where web 2.0 is today, initiating the real world adoption we are all hoping for
Jun 30, 2022 • 10 tweets • 4 min read
@wyatt_noise explains the notion of cell complexes in @Conste11ation's network topology which enables user defined complex data types & consensus. This is an entirely novel approach to horizontal scalability that can be described as "Database Cellularization" which is 1/10
different than the typical database sharding approach to scale. $DAG's functional reactive programming (FRP) approach encodes the entire topology of a data transformation pipeline into type classes which are geometric representations of referential data. 2/10
Jun 30, 2022 • 5 tweets • 3 min read
cnb.cx/3y8NJPZ $DAG 1. "Apple (for Maps), Uber, Snapchat, Spotify and Coca-Cola are among the many digital and consumer brands that rely on Foursquare for location services technology, and anonymized and aggregated datasets."
2. "More than 125,000 developers worldwide embedding it in their own software, & with 14 billion-plus human-verified “check-ins,” Foursquare is the underlying location engine that powers a myriad of brands, such as Twitter, Snapchat, Uber, Spotify, Airbnb, Coca-Cola, and JetBlue"
