There are several separate issues that add up together:

• A background "chain of thoughts" where a system ("AI") uses an LLM to re-evaluate and plan its responses and interactions by taking into account updated data (aka: self-awareness)
• Ability to call external helper tools that allow it to interact with, and control other systems
• Training corpus that includes:
  • How to program an LLM, and the system itself
  • Solutions to programming problems
  • How to use the same helper tools to copy and deploy the system or parts of it to other machines
  • How operators (humans) lie to each other

Once you have a system ("AI") with that knowledge and capabilities... shit is bound to happen.

When you add developers using the AI itself to help in developing the AI itself... expect shit squared.