Consider: Log file is like a memory of the past; if you keep a log file of changes, you are aware when and where change was made.
Human memory is very fragile. It can be lost in a blink of an eye, or even worse, it can be recalled incorrectly. Memory corruption and deterioration are serious problems that affect us all.
We must ask ourselves, does this really work? Many of us have a belief that it is enough to keep a log file for the sake of change notification. Our memories are so fragile, and we can only hope that our logs will be accurate. I think there are better ways to deal with information about changes in the system.
We can have a fixed subset of entities that are responsible for change notification. For example, in the Linux kernel we have the 'vfs_callback_change' function. Entities that want to become aware about changes in the system register with this function.
When a change happens, all entities registered with this function are notified by sending them an event. This way we don't need to keep track of changes ourselves, as the system keeps us informed about it.
If every entity in the system is notified by this function, it means that we have a well-defined way to know about changes. Also, when an entity registers with this function, then the change notification mechanism has been given control over them. This mean they are not allowed to change things without permission from the system.
This is a much better solution than keeping track of changes ourselves, since we can't actually remember things correctly. Also, it gives entities the right to change things in the system only if they are authorized.
Log in:
You are getting an AI to generate text on different topics.
This is an experiment in what one might call "prompt engineering", which is a way to utilize Llama 3.1 405b, a neural network trained by Meta.
Llama is a language model. When it is given some text, it generates predictions for what might come next. It is remarkably good at adapting to different contexts, as defined by a prompt (in this case, hidden), which sets the scene for what type of text will be generated.
Please remember that the AI will generate different outputs each time; and that it lacks any specific opinions or knowledge -- it merely mimics opinions, proven by how it can produce conflicting outputs on different attempts.
Feel free to share interesting outputs to /r/philosopherAI on Reddit.