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Interesting article by a guy who used ChatGpt in all his courses at Columbia. One person says: “College is just how well I can use ChatGPT at this point”.

Let’s have ChatGpt summarize this article:

The article “Everyone Is Cheating Their Way Through College” from New York Magazine explores how generative AI tools like ChatGPT have transformed academic cheating into a normalized and nearly untraceable phenomenon in higher education. Here’s a summary of the key points:

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Summary

1. Roy Lee and the AI Cheating Culture

• Columbia student Roy Lee used ChatGPT to complete around 80% of his assignments, believing academic tasks are “hackable by AI.”
• He co-founded tools to help others cheat, including one for job interviews, and was disciplined by Columbia.

2. Widespread AI Use Among Students

• Nearly 90% of students surveyed in early 2023 admitted to using AI for homework.
• Students use AI to generate essays, summarize readings, and even automate coding assignments.
• Many students see AI as indispensable, even equating it to tutoring or note-taking help.

3. Educator Struggles

• Professors struggle to detect AI-generated work reliably. Even AI detectors like Turnitin produce inconsistent or biased results.
• Teachers are unsure how to grade AI-assisted submissions and report rising frustration, burnout, and even resignations.

4. Ethics and Academic Integrity

• Students often don’t view AI use as cheating, especially when they contribute edits or outlines.
• Some schools have vague or unenforced policies, leaving students to interpret what’s acceptable.

5. Long-Term Impact

• Experts worry that AI use undermines learning, creativity, and critical thinking.
• There are concerns students may graduate without essential cognitive or cultural knowledge.
• Some, like tech ethics professors, warn this trend could lead to a generation of functionally illiterate graduates.

6. Technological Arms Race

• Students manipulate outputs to evade AI detectors.
• Meanwhile, companies like OpenAI market aggressively to students, while developers like Lee work on even more advanced cheating tools (e.g., Cluely, a real-time AI assistant).

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The article paints a picture of an education system being rapidly transformed by AI, with unresolved questions about ethics, efficacy, and what learning should mean in the digital age.

Would you like a shorter version or a bullet-point takeaway list for presentations or notes?