The truth at any cost lowers all other costs — curated by former US spy Robert David Steele.
Image Source: ClearTerra, 2014 Full Article on Enterprise Search: Mapless & Lost See Also: 2015 Robert Steele – Foreword to Stephen E. Arnold’s CyberOSINT: Next Generation Information Access
Trust Chain: Low (Media), Medium (Search Engines), High (Human) It is only a matter of time before trusted aggregators and human curators will become the main sources of reliable information for most people. In fact, the January release of the 2015 Edelman Trust Barometer shows that for the first time ever, the informed public trusts more search …
Continue reading “Robin Good: Humans Not Google Key Trusted Sources”
Recorded Future: Google and Cyber OSINT EXTRACT: CyberOSINT relies on automated collection, analysis, and report generation. In order to make sense of data and information crunched by an NGIA system, time is a really key metatag item. To figure out time, a system has to understand: 1) The date and time stamp; 2) Versioning (previous, …
How the CIA made Google Inside the secret network behind mass surveillance, endless war, and Skynet—part 1 Why Google made the NSA Inside the secret network behind mass surveillance, endless war, and Skynet—part 2
Enterprise Search Lags Behind: Actionable Interfaces, Not Lists, Needed EXTRACT A Google results list with one ad, two Wikipedia item, pictures, and redundant dictionary links. Try this query “IBM Mainframe.” Not too helpful unless one is looking for information to use in a high school research paper.
I really am tired of the baloney surrounding Google, which calls itself an “artificial intelligence” company. There is no question that its computational mathematics are out of this world — they are also unregulated (the US Government is incompetent in this domain) and divorced from the humanities — people working for Google do not “compute” …
Continue reading “Robert Steele: Google — Deep Learning Shallow Baloney”
Finding Books: Not Much Has Changed Three or four years ago I described what I called “the book findability” problem. The audience was a group of confident executives trying to squeeze money from an old school commercial database model. Here’s how the commercial databases worked in 1979. . . . . . . What the …
