Singularity, the point where AI can improve itself faster than humans can, had been a topic since the 60s. I.J. Good speculated in 1965 that “an ultra-intelligent machine...that can far surpass all the intellectual activities of any man however clever”.

James Barrat’s bestseller Our Final Invention brought this topic from academic and nerds to mainstream concerns (or, shall I say fear)?

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The great late Stephen Hawking and ever-controversial Elon Musk are some of the most vocal on AI potentially is the worst thing that can happen to humanity in the history of our civilization. …

Great leaders, like everyone else, aren’t always right, what sets them apart though, is that they recognize and make conscious efforts to compensate for it.

In this article, I’ll deviate from my common theme a little bit — I’ll discuss leadership in human leaders, instead of Artificial Intelligence. After all, part of me is still an MBA, without diminishing the importance of my Data Science degree. Nevertheless, the urgency of openly discussing this topic is somewhat driven by the success of Machine Learning — how the consistent-self-adjustment based on “data” helped Machine Learning to achieve better performance than humans in many intellectual tasks.

In a relentlessly self-improving business world, there are unlimited amounts of materials, training, articles, workshops regarding “how to better persuade”, “being more convincing in your communication”, etc. However, what suspiciously lacking is a recognition of the importance of the ability to be convinced. Admittedly, its opposite is occasionally ridiculed, especially in the scientific realm, “when presented with new and better evidence, most people still can’t change their minds”, or, otherwise known as stubborn. …

Trigger warning: Boring index 9/10. This is not an article about an exciting technology breakthrough, instead, it is an AI philosophy essay refining the 4-decades old Chinese Room thought-experiment — which if works according to its original design, one who communicates intelligently shall not understand a thing they read or write…


In 1980, Mr. John Searle who teaches at UC Berkeley, (where I am getting my Masters in Data Science from), published the famous Chinese Room Thought Experiment.

Mr. Searle is a philosopher, he does not claim to be an AI researcher. Nevertheless, the Chinese Room was one of the very influential philosophical thought experiments that affected AI research especially in NLP and it is also one of the most heatedly debated ones. …


Pan-intelligence futurist — Don’t fear AI as in “Artificial Intelligence” in machines; Be fearful of AI as in ‘Absence of Intelligence’ in humans.

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