Working with AI in open source requires that we grapple with its downsides. We need to acknowledge the ethical problems and minimize negative impacts; ensure quality and security despite fundamental limitations of AI technology; and resist the centralizing power dynamic inherent in the current AI trajectory.
Working with AI in open source requires that we grapple with its downsides. We need to acknowledge the ethical problems and minimize negative impacts; ensure quality and security despite fundamental limitations of AI technology; and resist the centralizing power dynamic inherent in the current AI trajectory.
What we currently call “AI” is not intelligent, and won’t be.
The current AI boom will end in a financial crash.
The AI industry causes terrible ecological and social damage.
The mess we’re in was not only foreseeable; it was foreseen. In 1972 a landmark paper was published: The Limits to Growth (Meadows et al. 1972), hereafter simply called Limits. It’s been called “the most influential science paper of the last 50 years”.
