Lets use the example of the progress of artificial intelligence (AI) to illustrate the Twelve Nidanas of dependent origination.
1. Ignorance (avijja): There may be a lack of understanding of the true nature and implications of developing more advanced artificial intelligence.
2. Mental formations (sankhara): Due to ignorance, people may form habitual patterns of technological progress, seeking greater efficiency or other benefits without considering long-term consequences.
3. Consciousness (viññana): The collective consciousness of society is conditioned by these mental formations, making it prone to pursuing technological developments without considering the ethical implications.
4. Name and form (nama-rupa): AI technology is developed through the combination of hardware and software, manifesting in a way that can be used for various purposes.
5. The six sense bases (salayatana): AI technology interacts with the external world through various sense organs such as sensors, cameras, microphones, and other input/output devices.
6. Contact (phassa): Various inputs and sensors interact with AI technology to produce outputs.
7. Feeling (vedana): AI technology produces reactions or feelings as outputs, such as speech or visual recognition.
8. Craving (tanha): Societys desire for technological progress and innovation drives the development of new AI advancements, often seeking more efficiency, accuracy, or convenience.
9. Clinging (upadana): The attachment to AI technology intensifies, as it becomes more ubiquitous and integrated into everyday life.
10. Becoming (bhava): The ongoing development and use of AI technology further reinforces habitual patterns and karmic tendencies, potentially leading to more advanced and complex AI systems.
11. Birth (jati): More advanced AI systems may manifest as more capable and capable machines, powering various aspects of society, such as autonomous vehicles, drones, and other applications.
12. Old age and death (jara-marana): The lasting consequences of AI technology may lead to benefits such as increased efficiency, but may also lead to negative consequences such as job loss, privacy concerns, and other ethical dilemmas that need to be addressed.
This example illustrates how the Twelve Nidanas of dependent origination can be applied to the development and use of AI technology, highlighting how actions and intentions can have lasting consequences. By recognizing the interdependent nature of technology and cultivating mindfulness, society may be better equipped to address ethical questions and consequences of technological progress.

How to break cycle at each point:

Here are ways to break the cycle at each point:

1. Ignorance (avijja): To break the cycle at this point, individuals and society need to develop a deeper understanding and insight into the potential implications of developing more advanced AI. This can be achieved through research, education, and open discussions about the ethical implications of artificial intelligence. By raising awareness of the issues at stake, individuals and society can reduce their ignorance and make more informed decisions about AI development.

2. Mental Formations (sankhara): To break the cycle at this point, individuals can develop new habitual patterns of thinking and action that prioritize ethical considerations and long-term consequences. Developing mindfulness and critical thinking skills can help people to question their assumptions and habitual patterns, and make more intentional choices about AI development.

3. Consciousness (viññana): To break the cycle at this point, societys collective consciousness needs to shift to prioritize ethical considerations and long-term consequences in AI development. This can be achieved through public education, media coverage, and political action to raise awareness of the issues at stake and promote ethical AI development.

4. Name and Form (nama-rupa): To break the cycle at this point, the physical and intellectual components of AI technology need to be designed with ethical considerations in mind. Designing AI systems that prioritize privacy, security, and ethical decision-making can reduce negative consequences and minimize unintended harm.

5. The Six Sense Bases (salayatana): To break the cycle at this point, AI technology needs to be designed to interact with the external world in ways that prioritize privacy, security, and ethical considerations. Developing AI systems that are transparent, accountable, and subject to meaningful regulation can reduce the potential for negative consequences and maximize the benefits of AI technology.

6. Contact (phassa): To break the cycle at this point, AI technology needs to be designed to interact with the world in ways that prioritize ethical considerations and minimize negative consequences. Developing AI systems that are transparent, accountable, and subject to meaningful regulation can give individuals and society greater confidence in the technology and reduce the potential for negative consequences.

7. Feeling (vedana): To break the cycle at this point, AI outputs need to be designed to respect individual rights and privacy. Ensuring that the outputs of AI systems are subject to meaningful regulation and oversight can reduce the potential for negative consequences like surveillance or discrimination.

8. Craving (tanha): To break the cycle at this point, individuals and society need to develop practices that prioritize ethical considerations and long-term consequences. Prioritizing ethical AI development and investing in research that balances innovation with societal well-being can reduce the potential for negative consequences.

9. Clinging (upadana): To break the cycle at this point, individuals and society need to develop practices that prioritize ethical considerations and long-term consequences. Prioritizing transparency, accountability, and meaningful regulation of AI systems can reduce the potential for negative consequences and give people greater confidence in the technology.

10. Becoming (bhava): To break the cycle at this point, individuals and society need to continue to develop ethical practices and habits that promote the well-being of individuals and society. Emphasizing ethical AI development and investing in research and education that advances these practices can promote positive and sustainable technological progress.

11. Birth (jati): To break the cycle at this point, individuals and society need to continue to prioritize ethical considerations and long-term consequences in the development and use of AI technology. Ensuring that AI systems are subject to meaningful regulation and oversight can promote positive and sustainable technological progress.

12. Old Age and Death (jara-marana): To break the cycle at this point, individuals and society need to continue to prioritize ethical considerations and long-term consequences in the development and use of AI technology. Addressing negative consequences and unintended harm through meaningful regulation and oversight can promote positive and sustainable technological progress over time.