~/talk

Opportunities of Generative AI

Talkat DLD Munich 23 · 2023-01-12..01-14· [ai-assisted-development]
links:none on file
name:Ina Fried
links:none on file
name:Tom Mason
github:twmmason
slides:none on file

Shows how open release of models leads to rapid customization: about five or six new GitHub repos every day and roughly 20 types of personalization emerge, enabling brand-accurate assets and user-specific marketing images. Demonstrates foundational image models (stable diffusion) compressing huge datasets, generation time dropping from six seconds to about 0.9 seconds, and immediate plans for video, audio and 3D. Argues API-driven tools create ephemeral, on‑demand mini‑apps that act as creative assistants rather than replacements.

AI-written summary · about

  1. 0:00Beyond the AI hype
  2. 2:21Redefining user interaction
  3. 8:31Open source and personalization
  4. 12:21Creativity and future outlook
  5. 18:16Closing thoughts on AI impact
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