#AI #AutomatedReasoning: #Math vs. #Meanings: #Policy vs. #Politics:””e.g. Federal Res . . .

Source: https://www.linkedin.com/feed/update/urn%3Ali%3Ashare%3A7297371547378331649

#AI #AutomatedReasoning: #Math vs. #Meanings: #Policy vs. #Politics:
e.g. Federal Reserve Board: #Policy, Not #Data, Guiding Latest #Decision:
https://lnkd.in/ev3rkrxw : Beyond #DataDriven AI: #Trust #Outcomes, Not #Inputs: https://lnkd.in/eswuM7G9 : E.g. #AI #Data-#Compute-#Energy INPUTS: EFFICIENCY = OUTCOMES / INPUTS : So [+EFFICIENCY => +OUTCOMES, -INPUTS] & [+EFFICIENCY =>NOT +INPUTS].

#AutomatedReasoning: #Dynamic #OpenSystems #OutcomesDrivenAI vs #Static #ClosedSystems [Historical] Data-Driven #InputsDrivenAI
Your following point is key: “The process begins by translating business #rules and #policies [*#politics*] into #mathematical #logic, which can then be used to verify that AI-generated responses conform to these rules.”

#RSA was broken within 17-years despite positing based on #Theoretical #Math – it won’t be broken for “40 quadrillion years”:
#Cryptography Beyond #ClaudeShannon: Why #Encryption and #Crypto #Systems Fail and How to Preempt and Prevent Such Systems Failures: #Cryptology beyond #Shannon’s #InformationTheory: Preparing for When the ‘Enemy Knows the System’: https://lnkd.in/eMmiryt

Shannon’s #InformationTheory Paper:
*A #Mathematical #Theory of #Communication: https://lnkd.in/eWxdpZd9 .

Related communication from the AI-Pioneer John Holland, the ‘Father of #GeneticAlgorithms’ inspired my first #HumanCentered #MeaningAware #AI paper and #SelfAdaptive #ComplexSystems based #Dynamic #OutcomesDrivenAI systems for Managing #Uncertainty and #Complexity as contrasted with [Historical] #Static #DataDrivenAI of ‘Static World’ assumptions:
https://lnkd.in/gcYqAWqm : https://lnkd.in/epx6zV3 .

More on Open Systems AI: Princeton University: https://lnkd.in/eNQWjfD

More on #Dynamic #OpenSystems #OutcomesDrivenAI vs #Static #ClosedSystems [Historical] #DataDriven #InputsDrivenAI:
https://lnkd.in/gsBxKh4f

Beyond #AI #Data #Compute #Energy #WallStreet #Bubbles:
30-Years Advancing #OutcomesDrivenAI for #Uncertainty-#Complexity #Systems-#Networks #Engineering
Beyond #DataDriven AI:
https://lnkd.in/gsBxKh4f

MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) #AI #Faculty: https://lnkd.in/eknKzm5
Princeton University $Trillion #WallStreet #HedgeFunds SME:
https://lnkd.in/gcp_yHe


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Global Post AI-Quantum Finance & Trading Networks Pioneer Dr.-Eng.-Prof. Yogesh Malhotra is the “Singular Post AI-Quantum Pioneer” identified by Grok AI with R&D impact recognized among Artificial Intelligence (AI) and Quantitative Finance Nobel Laureates. As MIT-Princeton AI-ML-Cyber-Crypto-Quantum Finance & Trading and FinTech-Crypto Faculty-Industry Expert, and U.S. and Global Hedge Funds Advisory & Venture Capital CEO-CTO Teams Mentor, he has pioneered Silicon Valley-Wall Street-Pentagon Digital CEO-CTO Practices, Technologies, and Networks from world’s first-foremost-largest Global Digital Transformation Networks to New York State IDEA Award recognized Pentagon-USAF MVP Global Post AI-Quantum Networks pioneering Future of Finance and Trading practices as Trillion-Dollar Wall Street Hedge Funds and Investment Banks leader.