Final Takeaway Example seeding is a powerful tool for alignment when used judiciously. For deep research, prioritize clarity of intent, iterative refinement, and testing variations. Start with minimal seeding, analyze outputs, and adjust prompts dynamically based on the model’s strengths/weaknesses.
Apple’s decision not to sync cookies reflects its commitment to privacy and control over user data. While inconvenient for some, it aligns with their broader strategy to prioritize security and minimize exposure to third-party risks. For users needing cross-device functionality, alternatives like iCloud Keychain or password managers offer safer, more targeted solutions.
Example Workflow for a Research Prompt
Prompt:
"Analyze the rise of decentralized finance (DeFi) in 2021–2023. Focus on regulatory responses in the EU vs. Asia. Provide:
Key drivers of DeFi adoption in each region.
Comparative analysis of EU’s MiCA framework vs. Singapore’s Project Guardian.
Hypothesize future regulatory trends (2024–2026).
Format: Executive summary with 3 sections, APA citations. Exclude speculative content."
Seeding Example:
"Here’s an excerpt from a Georgetown paper structuring similar analyses. Use this style but do not copy verbatim."
When to Avoid Seeding Examples
Exploratory phases (early-stage topic discovery).
High-risk domains (e.g., medical research) where examples might introduce misinformation.
Creativity-focused tasks (e.g., generating novel hypotheses).
Final Takeaway
Example seeding is a powerful tool for alignment when used judiciously. For deep research, prioritize clarity of intent, iterative refinement, and testing variations. Start with minimal seeding, analyze outputs, and adjust prompts dynamically based on the model’s strengths/weaknesses.