Computational Illusion

Old friends are best. King James used to call for his old shoes, they were easiest for his feet.......John Seldon(1584-1654, English historian)

Learning the secrets of “geniuses” and the habits of titans with AI; 

How do we think about generative AI? My view is that generative AI brings a drop in the cost of cognition and how we think. If the internet was the cost of information dropping to zero, my believe is that the cost of cognition and how we think, who we think with, is dropping to zero.

Although the human-like responses of AI are productive they are statistical illusion.  They have just been well-trained by humans to respond to humans, and they have used all our texts and all our videos to be human-like in many ways. But in the end, it’s a computational illusion.

Due to the complexity of these systems, it's possible for them to produce outputs that appear meaningful or insightful, but upon closer examination, these outputs might be the result of statistical noise, biases in the training data, or even errors in the algorithms themselves.

The concept of computational illusion highlights the importance of critical thinking, validation, and understanding the limitations of computational systems. It reminds us that while these systems can provide powerful tools for analysis and decision-making, their outputs should always be interpreted with caution and an awareness of the potential for misleading results.

The European Union’s proposed AI Act takes some important steps, requiring transparency about the data used to train AI models, mitigation for potential bias, disclosure of foreseeable risks and reporting on industry standard tests.

The essence of humanity is relationship and the tension of ideas it produces, value your AI assistance but cherish your relationships more.

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