Don't Buy the "A.I." Hype with Tim Allen

AI hype cycles repeat due to flawed tech and misinformation.

Key takeaways

AI hype cycles repeat throughout history, with flawed technologies riding a wave of excitement only to crash later.
AI models are not intelligent, but rather machine learning models trained on vast amounts of misinformation.
These models frequently provide inaccurate or made-up information, and are increasingly being used to manipulate public opinion and drive political outcomes.
The term “AI” is often used to describe machine learning models, which is a category mistake.
These models are not capable of thought or understanding, and should not be attributed human-like attributes.
The Gardner hype cycle chart shows a similarity between the current AI hype cycle and past trends, with the peak of inflated expectations often leading to a crash.
The media plays a significant role in perpetuating AI hype, with clickbait headlines and sensationalized coverage.
The use of AI models for purposes such as election manipulation is dangerous and unethical.
The responsible use of AI requires recognition of its limitations and a commitment to ethical programming and model training.
As experts in the field, technologists have a responsibility to speak out against the misuse of AI and promote responsible development and use.
The current AI hype cycle may lead to a dangerous reliance on flawed technologies and a further erosion of shared truths and reality.

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