Self-Discover: let the model design its own reasoning plan
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Most reasoning prompts do the same thing to every problem. Chain-of-thought staples "let's think step by step" onto the question and hopes the model figures out the rest. It usually beats a plain answer, but it's a one-size-fits-all move: a counting puzzle, a scheduling constraint, and a proof all get the exact same nudge. Sometimes that fits the task. Often it doesn't, and you get an answer that reads beautifully and is quietly wrong. Self-Discover, from Google DeepMind (2024), starts from a…
1Key Takeaways
- Most reasoning prompts do the same thing to every problem.
- Chain-of-thought staples "let's think step by step" onto the question and hopes the model figures out the rest.
- It usually beats a plain answer, but it's a one-size-fits-all move: a counting puzzle, a scheduling constraint, and a proof all get the exact same nudge.
- Often it doesn't, and you get an answer that reads beautifully and is quietly wrong.
2AIWedia Score
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3Why it matters
Prompt and agent patterns spread fast; staying current saves time and token cost. DEV — Prompt Engineering reports that most reasoning prompts do the same thing to every problem.
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