Robert Steele: Google — Deep Learning Shallow Baloney

IO Impotency
Robert David Steele Vivas
Robert David Steele Vivas

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” words like Consilience. Below is an article full of hype that manages to avoid the reality that Google indexes less than 4% of the digital web (their number, mine is 2%) while failing to date to provide any tools for analytics (shared calendars and spreadsheets are nice — like colorful napkins). Never mind that less than 1% of big data is processable; that it takes three years to move a petabyte across the crappy infrastructure the US Government has failed to elevate, or that there are five billion humans out there, each of whom has a brain vastly more able than any computer NSA or Google (NSA Lite) might have in hand. Never mind that Google has no clue when it comes to the intersection of holistic analytics, true cost economics, and open source everything engineering. Google is — like most of the secret intelligence community and most of Wall Street banking — a Ponzi scheme. Keep the money moving.  Never mind striving for ethical evidence-based decision-support or serving the public interest.

Internet to Neural Net: Google – Still in the (Shitty) Search

See Also:

2014 Robert Steele – An Open Letter

Analytics @ Phi Beta Iota

Big Data @ Phi Beta Iota

Facebook open sources tools for bigger, faster deep learning models

Google @ Phi Beta Iota

Graphic: Jim Bamford on the Human Brain

Graphic: Web of Fragmented Knowledge

Open Source @ Phi Beta Iota

True Cost @ Phi Beta Iota

Robert Steele: The End of Servers

Robert Steele: Reflections on the Next Data Revolution

Robert Steele: UNASUR – The Revolution Begins

Yoda: Exascale by 2020? No Way, Jose! Four Socko Graphics and Bottom Line Upfront — Human Brain Still a Million Times More Power Efficient