A third user describes a system where logs were monitored to trigger sound samples, with a pattern recognition component for entropy detection. The last user attempted to use AI for log diagnosis but stopped due to the potential cost of each request to their LLM. The discussion indicates that AI can be a useful tool in diagnosing system logs, but its effectiveness may vary based on the specific application and system.
Key takeaways:
- AI has been used to diagnose system logs, with one user finding success using the panther file generated by running a trace on android and Gemini advanced.
- ChatGPT has been used to analyze error logs, providing insights into potential issues, ways to diagnose them, and even commands to run to test or fix things.
- One system used logs to trigger various sound samples, with a pattern recognition component to identify potential issues.
- There are potential cost implications to consider when using AI to analyze system logs, as highlighted by one user who stopped at the cost analysis stage.