Two Weeks is a Long Time In AI
Two weeks have passed since the publication of "Supply Chain Automation - Should we be Afraid," and in this short span, AI has dominated the business news landscape, particularly the upheaval at OpenAI following the unexpected firing of CEO Sam Altman. This controversial decision triggered a revolt among the staff, who demanded Altman's reinstatement and the resignation of the board, accusing them of dishonesty, incompetence, and undermining OpenAI's mission.
(OpenAI’s mission – “to build artificial general intelligence (AGI) that is safe and benefits all of humanity.”)
OpenAI, originally a not-for-profit organization co-founded by Altman and Elon Musk, transitioned into a "capped profit" entity with the involvement of Satya Nadella and Microsoft.
The conflict reportedly revolved around concerns regarding Q* (pronounced Q-Star), a ground breaking model capable of solving previously unseen maths problems—an achievement with significant implications for Artificial General Intelligence (AGI).
It is crucial to distinguish OpenAI's mission to build AGI from the specific AI applications found in the realm of Supply Chain. While AI refers to machines proficient in specific tasks like image recognition or natural language processing, AGI aims to replicate or surpass human-like capabilities across any task. AGI's potential to revolutionize industries and match human intelligence is a prospect that has sparked debates and concerns.
To quote Melvin Kranzberg, technology is neither good nor bad; nor is it neutral.
The article "Supply Chain Automation - Should we be Afraid" emphasized the need to approach AI with a combination of engagement and caution. Two weeks later, amidst the turbulence at OpenAI, at least this advice still seems to be valid.
A Passionate Supply Chain advocate, strategist, innovator, thought leader, futurist, analyst and educator; marketing expert, executive who unlocks potential by touching tomorrow today. Gartner Peer Community Ambassador
9 个月I do sense a little AI fatigue in the marketplace, where everyone is talking about it, but suddenly, every decision has become AI, and every calculation has become an AI calculation. Not every decision needs AI, and utilizing Artificial Intelligence to improve things is going to require skill, knowledge, and effort. So plenty of space for intelligent planners and informed executives to leverage the power, persistence, and pervasiveness of new modern decision support tools. The elements you observed in the article, where do you see them taking their place at work, what impact will it have and how might we prepare for it? #Artificialintelligence Martin Woodward #intelligentplanning Derek Brown #AI James Gannaway
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10 个月Interesting Martin?thanks for sharing