Jack 饶街五
Jack 饶街五 is one of the three guests in E236｜99%的作业都是AI写的：当代名校生眼里，大学还剩下什么？. The source presents him as a NYU data-science graduate and [[ColumbiaUniversity|Columbia University]] management-science-and-engineering master’s student who has interned at AI companies and is also building his own projects.
Jack supplies the episode’s clearest student-workflow evidence. He says about 99% of his assignments or papers involved AI in some substantial way, especially coding-heavy tasks, websites, research projects, and open-ended coursework. He emphasizes that this does not mean AI wrote everything unaudited; students still need enough course and technical understanding to judge whether model output meets the assignment and is correct.
His pre-AI coding experience makes him an important contrast with classmates who began coding only after ChatGPT. Jack says he could still write code without AI, though he would be slower and would return to old search and documentation habits. That contrast supports the source’s broader point that AI can raise productivity while moving the skill boundary toward AI Coding Verification, problem setup, and output responsibility.
Connections
- NYU and [[ColumbiaUniversity|Columbia University]] - Jack’s undergraduate and graduate-school contexts.
- ChatGPT, Claude, Perplexity, Claude Code, Codex, and Manus - tools named in his workflow.
- AI University Assessment Reform - his account of professors moving from AI resistance to consult-with-LLM responsibility.
- AI Coding Verification - his warning that people who do not understand code may miss model mistakes.
- AI Default Learning Environment - his 99% schoolwork-with-AI example.
- College Career Preparation - his job-market uncertainty around what companies mean by “good at AI.”