Q&A #4
summary
Panel answers focus on concrete practice: prompt formats evolve to include comments and embedded code, workflows stitch many specialized tools together with ChatGPT as orchestrator to turn prompts into images, video and one‑click export to STL 3D files, and free/paid tools are usable for experiments but require enterprise‑grade deployment for IP, privacy and provenance. Predictions include multimodal assistants, on‑device models, and accelerating model cloning that already matches high fidelity.
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chapters (17)
- 0:00Introduction to Q&A
- 1:06Prompt engineering vs software engineering
- 3:18Large vs small AI models
- 4:27Future of promptless AI
- 5:56AI tools aggregation platforms
- 9:02Enterprise vs public AI tools
- 10:28AI in design workflows
- 12:17Zero to hero with AI tools
- 14:43AI and creative skill enhancement
- 15:04Protecting IP with generative AI
- 18:31Copyright for AI-generated content
- 20:16Emerging AI trends
- 20:59Multimodal AI future
- 21:41AI breakthroughs in creativity
- 24:50Local AI execution on devices
- 25:33AI as part of personal identity
- 26:59Closing and break announcement
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