Source: https://www.linkedin.com/feed/update/urn%3Ali%3AugcPost%3A7072211624287211520
Network-Centric Meaning-Driven Human-Centric AI-Cyber Computing Beyond Data-Driven to Event-Driven Architectures for Quantum Uncertainty, 1995-2023: https://lnkd.in/gYCJv_tD :
Building on global discussion on #GPT, #ChatGPT, #GenAI, LLMs, we help you advance beyond the #AIHype – on both #dystopian and #utopian extremes – to focus on latest #AI #EventDriven #Architectures such as in #AIOps, #MLOPs, #DevSecOps, #Infrastructure As #Code, #Configuration As Code, #Platform As Code, #Pipeline As Code for building #CloudComputing #AI-#Agility and #Cyber-#Resilience #Sustainability focus of our 2022 New York State Cybersecurity Conference presentation as AWS Partner. With increasing Digitization of #Networks as #Code, we help ‘#Hardware’, ‘#Software’ and other ‘#Computing’ providers and practitioners advance beyond legacy models of computing to latest Cloud-based Networked Computing #Utility models. Our 30-year R&D focus on #NetworkCentricComputing from both Socio-technical and #Systems #Engineering perspectives spans the schisms presented by Claude Shannon’s #InformationTheory in how AI-ML enabled #InformationProcessing and #SenseMaking can occur across both Socio-technical and Computing-#Telecom #Networks*.
• Should we be afraid of latest AI such as Generative AI and ban such R&D?
– No! Such R&D must continue by dispelling the myths being spun about AI.
• Does AI have the capability or capacity of posing existential risk to humans?
– No! But Humans with vested interest in exploiting other Humans do!
• Does AI have intelligence to take over control of humans & destroy them?
– No! But Humans with vested interest in exploiting other Humans do!
• What can be done for dispelling the AI myths to make real progress?
– Having already advanced beyond such myths, we focus on saving all 90% time, cost, & resources by our focus on Science & Scientific R&D driven Zero-Hype practices.
– We share our learning and freely accessible R&D leading global practices with all in order to help you advance beyond the AI-Hype in making real progress for the human civilization and humanity at large.
* There has been an over-concentration on Shannon’s definition of information in terms of uncertainty (a very good definition for the original purposes) with little attempt to understand how MEANING directs a message in a network. This, combined with a concentration on end-points (equilibria) rather than properties of the trajectory (move sequence) in games has led to a very unsatisfactory treatment of the dynamics of organizations. – #AI-#GeneticAlgorithms pioneer Dr. John H. Holland, then at the Santa Fe Institute (personal communication, June 21, 1995) :
Source: Malhotra, Y., Expert Systems for Knowledge Management: Crossing the Chasm between Information Processing and Sense Making, Expert Systems with Applications: An International Journal, 20(1), 7-16, 2001.
Global Risk Management Network LLC: Silicon Valley-Wall Street-Pentagon Networks: AWS-Quantum Valley
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