🤖 AI Summary
OpenAI published a crowdsourced list of the "100 most useful" ChatGPT prompts gathered and voted on by 70 college students who visited its ChatGPT Lab. Participants from more than 50 universities (including Stanford, Penn, UCLA and others) worked in weekly sessions to test, refine and upvote prompts organized into three buckets: study, career and life. The collection ranges from minimalist queries (e.g., synonyms for “sophisticated”) to role-driven prompts that cast the model as a study buddy, career counselor or even a lawyer, plus practical tasks like generating high-protein dining-hall meal plans. Each prompt can be opened and auto-plugged into ChatGPT for immediate use, making the list a live toolkit of student-vetted prompt patterns.
For the AI/ML community this is a compact, real-world snapshot of prompt engineering in practice and how end users leverage LLMs across everyday workflows. The initiative highlights how prompt design—role framing, instruction specificity, and template sharing—shapes utility, and it signals adoption patterns educators must contend with as schools adapt (bans, in-person tests, assignment redesign and AI-detection tools). The dataset of human-selected prompts could inform UX, fine-tuning priorities, guardrails and evaluation scenarios, while also underscoring concerns about student overreliance and the need for pedagogical strategies that integrate rather than merely police generative AI.
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