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The four dangers of AI

The Four Dangers of AI 

OpenAI and other codes are now giving answers to questions that would make scholars proud. They are literate, organized, and work tirelessly. They even come up with unpredictable answers even their programmers don’t understand. AI codes with only millions of parameters do not exhibit this, but those with billions of parameters have produced unexpected results, something like overnight. Apparently, the baby’s brain develops in leaps and bounds according to neuroscientists as the brain develops functionality. AI is just a baby or maybe a toddler. Billions of parameters are approaching our brain’s capabilities. So perhaps the LLMs are beginning an assault on humans at a basic level. Here we summarize the four most fundamental dangers of AI.

A. The biggest danger is trust. When medical diagnostic programs become standard, what doctor will have the courage to contravene?  Imagine a government trusting LLMs for making decisions. It is then, as they say, "in the box," and fully predictable.

B. The second biggest danger is bias, which is more subtle and risky than usually described. Try out any of them about politics, and you will know personally.

C. The third is reliance. Too much reliance implies we all turn in our badges and just go fishing.

D. Also, consider the children growing up in a world where LLM can do everything they might hope to do. Teachers gone. Inquiry a few keystrokes away. Quiescent brains will be the norm. A subworld of the proletariat will emerge - offline insofar as is possible. Obsolescence of our own creation.


I asked AI (Chatgpt and Bard) what they thought were the greatest dangers of AI. They gave more suggestions, less theoretical to be sure, seemingly all controlled by programmers, include

·        Unwarranted war

·        Mass identity theft.

·        Unemployment

·        Cybersecurity

·        Loss of privacy

·        Misinformation

·        Weaponization

·        Existential risks

·        Lack of transparency

·        Discrimination




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