GCP serverless function https://cloud.google.com/functions (more)

Amazon Neptune is a managed graph database product published by Amazon.com. It is used as a web service and is part of Amazon Web Services (AWS). It was announced on November 29, 2017.[1] Amazon Neptune supports popular graph models property graph and W3C's RDF, and their respective query languages Apache TinkerPop's Gremlin,[2] openCypher, and SPARQL,[3] including other Amazon Web Services products. https://en.wikipedia.org/wiki/Amazon_Neptune https://aws.amazon.com/neptune/

Graph Query Language intended standard for Graph Databases. https://en.wikipedia.org/wiki/Graph_Query_Language (more)

Google Web Services Platform. Equivalent to Amazon Web Services. Became Google Cloud Platform. (more)

aka GCP, Google Cloud Platform - Google's version of AWS https://en.wikipedia.org/wiki/Google_Cloud_Platform https://cloud.google.com/gcp (more)

Google Cloud Platform is a part[6] of Google Cloud, which includes the Google Cloud Platform public cloud infrastructure, as well as Google Workspace (G Suite), enterprise versions of Android and Chrome OS, and application programming interfaces (APIs) for machine learning and enterprise mapping services.

Replit (rep·lit), formerly Repl.it, is a San Francisco-based start-up and an online IDE (integrated development environment).[3] Its name comes from the acronym REPL, which stands for "read–evaluate–print loop". Amjad Masad, Faris Masad, and Haya Odeh co-founded the company in 2016... In 2009, Masad tried to write every programming language in JavaScript, but it was not practical. He saw great leaps in browser and web technologies and he was inspired by Google Docs web capabilities. He thought of the idea of being able to write code in a browser and make it easy to share it. He spent two years creating an open-source product with Haya Odeh called "JSRepl".[9] This product allowed him to compile languages into JavaScript. This product powered Udacity and Codecademy's tutorials. After becoming an early employee of Codecademy, this project was put off until years later, when he and Odeh decided to revive the project of a programming environment in a browser. https://en.wikipedia.org/wiki/Replit (more)

see GoogleCloud

Cypher is a declarative graph query language that allows for expressive and efficient data querying in a property graph.[1] Cypher was largely an invention of Andrés Taylor while working for Neo4j, Inc. (formerly Neo Technology) in 2011.[2] Cypher was originally intended to be used with the graph database Neo4j, but was opened up through the openCypher project in October 2015.[3] The language was designed with the power and capability of SQL (standard query language for the relational database model) in mind, but Cypher was based on the components and needs of a database built upon the concepts of graph theory. In a graph model, data is structured as nodes (vertices in math and network science) and relationships (edges in math and network science) to focus on how entities in the data are connected and related to one another. https://en.wikipedia.org/wiki/Cypher_(query_language) (more)

enclosure of the Commons http://en.wikipedia.org/wiki/Enclosure (more)

concept, created by Alan Kay in 1968, described what is now known as a LapTop computer or (in some of its other incarnations) a Tablet PC or slate computer with nearly eternal battery life and software aimed at giving children access to digital media. Adults could also use a Dynabook, but the target audience was children. (Educational Technology) He saw the Dynabook, plus its software, as Personal Dynamic Media. http://en.wikipedia.org/wiki/Dynabook (more)

High-minded mediocrity. As explained by Curtis White at 2002-04-23-a. (more)

aka ETech

Sasha Chapin: Notes Against Las Vegas. Evil is real. It’s uncool to admit it. Dark forces encircle the earth, running giant machines that abase the human spirit, hollowing out everything that can be full within us, filing down our fractal beauty until we’re as gluey as cheese sauce. To be effective, though, evil has to be cozy and agreeable. (more)

Thinking Without a Tank. The year is 2050. The place: Earth. The possibilities... Which future is in store and what, if anything, can or should be done about it? These questions were collectively addressed by environmentalists, economists, academicians and policy makers. But while the Rand Corp. and the World Resources Institute helped set up the debate, the arena was not a conference room. Instead, it was Hyper Forum. (more)

book by Ken Kocienda about Apple's product development process. ASIN:B07F9K8ZX9

book by Ed Catmull about Pixar's creation process. ASIN:B00FUZQYBO

author of Creative Selection about Apple's process. (more)

Deliberative Discourse/Group Discussion/Threaded Discussion via the Web (more)

In knowledge representation and reasoning, knowledge graph is a knowledge base that uses a graph-structured data model or topology to integrate data. Knowledge graphs are often used to store interlinked descriptions of entities – objects, events, situations or abstract concepts – while also encoding the semantics underlying the used terminology.[1] Since the development of the Semantic Web, knowledge graphs are often associated with linked open data projects, focusing on the connections between concepts and entities.[2][3] They are also prominently associated with and used by search engines such as Google, Bing, and Yahoo; knowledge-engines and question-answering services such as WolframAlpha, Apple's Siri, and Amazon Alexa; and social networks such as LinkedIn and Facebook. https://en.wikipedia.org/wiki/Knowledge_graph