The truth at any cost lowers all other costs — curated by former US spy Robert David Steele.
This is another big problem i have with Bitcoin, alt coins and other blockchain based platforms. you have to mine it which consumes a TON of electricity, and then for each transaction everyone needs to cryptographically check it before it gets accepted. Which consumes some power as well. Unless we suddenly have commercial free energy …
Continue reading “Steven Vervaecke: The True Cost of Bitcon Is Energy”
You ask, Is M4i2 a philosophy or a process (like C2)? I want to answer that question in three ways: M4IS2 is a philosophy. M4IS2 is a process that must integrate Holistic Analytics (HA), True Cost Economics (TCE), and Open Source Everything Engineering (OSEE) M4IS2 at the highest level is a spiritual alignment of humanity …
Drones: In the Sky for Sure The US Federal Aviation Authority has decided the concept of drone deliveries is safe enough to grant Amazon Prime Air permission to fly beyond visual line of sight. But did the agency consider everything? Diginomica discusses some concerns in the article, “More Drones in the Sky in One Day …
Continue reading “Stephen E. Arnold: Amazon Drones – a True Cost Analytic Negative”
We Now Know Far More About COVID-19 – The Lockdown Should End Virtually overnight our world has turned into a wasteland of closed towns, deserted streets and a few people scuttling along with masks and stricken faces. It’s a place bereft of imagination, the light sucked out; a padded cell in Psych Ward B. Phi …
Honeywell Is Now Tracking $1 Billion In Boeing Parts On A Blockchain Phi Beta Iota: Important for two reasons. First, it makes possible mapping the just enough just in time supply chain that is totally vulnerable to disruption. Second, it makes possible the introduction of true cost economics at every point in that supply chain.
Can the planet really afford the exorbitant power demands of machine learning? OpenAI, the San Francisco-based AI research lab, has been trying to track the amount of computing power required for machine learning ever since the field could be said to have started in 1959. What it’s found is that the history divides into two …
Continue reading “Berto Jongman: True Cost of AI Too High….”