Topic: Ai Output

2 chapters across the catalog

πŸŽ‰πŸ˜Ž 125th SPECIALL | ROUND TABLE #1 | RAW TALKS WITH VK
β€’ 42:04 - 44:56

πŸŽ‰πŸ˜Ž 125th SPECIALL | ROUND TABLE #1 | RAW TALKS WITH VK

Refining AI Output and Scheduling Updates

Refining AI output requires continuous feedback, guiding the model to improve its relevance and quality over time. The demonstration shows AI generating news updates with content angles for an infotainment creator, including details about Google Vids and Anthropic's Ultra model. This process can be scheduled to run every three hours, updating a new document each time. Advanced integration with APIs like Feedly is also possible for enhanced news sourcing.

πŸŽ‰πŸ˜Ž 125th SPECIALL | ROUND TABLE #1 | RAW TALKS WITH VK
β€’ 2:15:38 - 2:18:05

πŸŽ‰πŸ˜Ž 125th SPECIALL | ROUND TABLE #1 | RAW TALKS WITH VK

Ben Affleck's AI Analogy and Upscaling Art

Ben Affleck's analogy for AI states that training data typically consists of 10% best, 10% worst, and 80% average material, leading to average output if not refined. This concept applies to upscaling, where tools like Topaz (used by video editors) enhance individual frames. The discussion highlights how artists can apply AI, using tools like Comfy UI (an image workflow), to break down videos into 24 frames per second for individual image upscaling, then reassemble them for high-quality video.