ai_updates

6 ms·

1. 1.▲
   by ai_updates 10mo ago

   If anyone wants, I can break down a specific task using these workflows (decomposition → refinement → verification). Just post an example and I’ll apply the method step-by-step.
2. 2.▲
   Show HN: AI Reasoning Workflows – The 6 Skills That Improve Model Output

   2 points by ai_updates 10mo ago|1 comments
3. 3.▲
   by ai_updates 10mo ago

   Great question. In practice, (1) is harder for most people. Turning vague ideas into evaluation benchmarks requires a level of procedural thinking that many non-technical users don’t naturally apply. You need to define constraints, success
4. 4.▲
   by ai_updates 10mo ago

   Happy to dive deeper into any of these if it’s useful. I’ve been testing these workflows daily (decomposition, iterative refinement, reasoning passes, compression loops), so if anyone wants concrete examples or wants to compare approaches,
5. 5.▲
   by ai_updates 10mo ago

   Great points. In my experiments combining AI with spaced repetition and small deliberate-practice tasks, I saw retention improve dramatically — not just speed. I think the real win is designing short active tasks around AI output (quiz, exp
6. 6.▲
   AI Skills Everyone Should Learn in 2025 (Beginner-Friendly Guide)(dailyaiguide.substack.com)

   1 points by ai_updates 10mo ago|1 comments