Satyajit Das (What to think about machines that think)

Satyajit Das examines the complex implications of thinking about machines that think and highlights several key points:

1. Technology and Faith: The belief in the rapid progression of technology, often referred to as the Singularity, is compared to belief systems like totems, magic, or organized religion. It serves as a source of control, material prosperity, and comfort while reinforcing human superiority.

2. Incomplete Knowledge: Despite scientific progress, human knowledge remains limited and often inaccurate. Das cites the example of introduced species and the unintended consequences of scientific interventions, as well as the limitations in understanding the fundamental workings of nature.

3. Unintended Consequences: Technological advancements can lead to unintended consequences. Examples include the development of drug-resistant infections due to antibiotic use, failed economic models, and inaccurate forecasts.

4. Lack of Understanding: The long-term consequences of technology are frequently not fully understood at their inception, such as the impact of CO2 emissions and the creation of weapons of mass destruction.

5. Ethical and Moral Concerns: Technology raises moral, ethical, political, economic, and social concerns, particularly in the context of weapons development and the potential economic impacts of automation and AI.

6. Ignoring Logic: Humans often adopt technology without fully considering its limitations or consequences. Progress is accepted without thorough examination, and doubters are often dismissed.

7. Human Insignificance: Das emphasizes that the human species is small and inadequate in the face of the challenges posed by advanced technology, and the quest for machines that think may reinforce this truth.

In summary, Satyajit Das questions the human pursuit of machines that think and raises concerns about the potential consequences and limitations of such technology. He underscores the importance of ethical and moral considerations in the development and deployment of advanced machines.

"A gilded No is more satisfactory than a dry yes" - Gracian