LLMs can be exhausting
7 hours ago
- #feedback loops
- #LLM fatigue
- #prompt engineering
- Working with LLMs like Claude or Codex can be exhausting, especially during long sessions.
- Mental fatigue leads to degraded prompt quality, resulting in worse AI performance.
- Slow feedback loops and bloated context can hinder progress and lead to frustration.
- Recognizing when to take a break is crucial to avoid entering a 'doom-loop psychosis'.
- Clear, well-thought-out prompts with defined success criteria yield better AI results.
- Optimizing for faster feedback cycles can save time and improve AI performance.
- Metacognition is key: ensure you've thoroughly thought through the problem before prompting the AI.
- Treat slow feedback loops as a problem to solve, leveraging the AI to find optimizations.