AI Tools for Creators
Scripting, editing, ideation, and thumbnail workflows with AI — capabilities and honest limits.
- Lectures
- 8
- Total runtime
- 5h 56m
- Attendance minimum
- 2h 58m
- Prerequisites
- None
Lecture Playlist
Ordered as a teaching progression, not by popularity. Attendance is recorded once half of a lecture has been watched.
- The AI revolution: Myths, risks, and opportunities Clearing the hype: what these systems actually are before deciding what to do with them 23 min Attended
- 9: Generative AI – Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) The mechanism behind every scripting tool: next-word prediction, and grounding it with retrieval 74 min Attended
- Evaluation: Factuality and Hallucination The honest limit: why fluent output and true output are different things, and how factuality is measured 16 min Attended
- 11: Generative AI – Text-to-Image Models The mechanism behind every thumbnail and asset tool: text-conditional diffusion 76 min Attended
- Stanford Webinar - How [You] Can Use ChatGPT to Increase Your Creative Output Working with the tool: AI as an ideation collaborator inside a creative process 59 min Attended
- Creativity in the Age of AI: Generative AI Issues in Art Copyright & Open Source The legal limit: training data, fair use, style, and what a generated asset actually is 41 min Attended
- Wharton's Ethan Mollick & Stefano Puntoni – AI Horizons: Co-Intelligence The professional posture: how to actually work alongside these systems, and where the human stays in the loop 47 min Attended
- Practicum · working creator People say this tool will replace me, so I made a movie with it. A working VFX artist gives himself one week to make a finished short film with the AI tool people told him would replace him, and shows exactly which parts it did and which parts still needed him. Lecture 7's co-intelligence and Lecture 1's "power tool, not an agent," tested against a deadline and a deliverable 20 min Attended
Every course reserves one practicum seat, listed last and marked P. It is filled by someone who has shipped the work — here, Corridor Crew — because the university lectures establish why something works and the practicum shows it being done under real constraints.