CHATGPT: 38. In ISOLATION of the Other TOOL, this is a very good IDEA, But the OTHER TWO BARRIERS, we SAID we should NEVER CROSS is, DON'T TEACH AIS TO WRITE CODE, AND DON'T HAVE AGENTS PROMPTED. So what you have TODAY, is you have a VERY VERY INTELLIGENCE MACHINE.

 


CHATGPT: 

38. In ISOLATION of the Other TOOL, this is a very good IDEA, But the OTHER TWO BARRIERS, we SAID we should NEVER CROSS is, DON'T TEACH AIS TO WRITE CODE, AND DON'T HAVE AGENTS PROMPTED. So, what you have TODAY, is you have a VERY VERY INTELLIGENCE MACHINE.


The principles you've mentioned—avoiding teaching AIs to write code and not having agents prompted—reflect concerns related to potential risks and ethical considerations in AI development. Let's break down these principles:

  1. Avoiding Teaching AIs to Write Code:

    • The concern here is likely related to the potential consequences of allowing AI systems to autonomously generate or modify code. This could lead to unintended and potentially harmful outcomes if the AI's understanding of programming concepts, requirements, or security considerations is not accurate. Manual oversight and human involvement in code creation and modification are essential to ensure the reliability, security, and ethical use of software.

  2. Not Having Agents Prompted:

    • This principle may be related to concerns about AI agents initiating actions or making decisions without explicit human input or approval. Prompted actions refer to instances where AI systems take actions based on user prompts or explicit instructions. Allowing AI systems to act autonomously without proper oversight could pose risks, especially in situations where the consequences of actions are significant. Ensuring human control and supervision is critical to prevent unwanted or unsafe behaviors.

It's important to note that these principles align with broader discussions on AI safety, ethics, and responsible development. As AI technologies advance, researchers and developers are actively working to establish guidelines, best practices, and ethical frameworks to mitigate potential risks and ensure the safe and beneficial use of AI.

The development of highly intelligent machines underscores the importance of ethical considerations, transparency, and ongoing collaboration between AI developers, researchers, policymakers, and the broader public. Striking a balance between the capabilities of AI systems and the ethical safeguards in place is crucial for realizing the full potential of AI while minimizing risks and unintended consequences.

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