a blog of links related to computer animation and production technology Sponsored by ReelMatters.com
Author: pIXELsHAM.com
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David Heinemeier Hansson – Software development estimates have never worked and never will
https://world.hey.com/dhh/software-estimates-have-never-worked-and-never-will-a41a9c71
The fundamental problem is that as soon as a type of software development becomes so routine that it would be possible to estimate, it turns into a product or a service you can just buy rather than build.
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Open3d.org – An open source library that supports rapid development of software that deals with 3D data
Core features
- 3D data structures
- 3D data processing algorithms
- Scene reconstruction
- Surface alignment
- 3D visualization with Physically based rendering (PBR)
- 3D machine learning support with PyTorch and TensorFlow
- GPU acceleration for core 3D operations
- Available in C++ and Python with a 3D viewer app.
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H. Jensons TWISTED by Sebastian Ungrad – AI Muppets video
“From start to finish it took just 9 hours to produce. That was so much fun to do.
Lyrics: ChatGpt
Song: Suno
Images: Midjourney & ComfyUI
Video: u/runwayml Gen-3”https://www.reddit.com/r/aivideo/comments/1eryhk6/h_jensons_twisted/
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Zach Arnold – 2020: Dear Hollywood: We Don’t Want to “Go Back to Normal.” Normal Wasn’t Working
https://optimizeyourself.me/dear-hollywood-normal-wasnt-working/
Hollywood’s pre-pandemic “normal” wasn’t sustainable or healthy, particularly for workers who faced long hours, poor work-life balance, and limited diversity. This article calls for the industry to use this post-pandemic period as a chance to reform and prioritize the well-being, creativity, and inclusivity of its workforce, rather than simply returning to old, harmful practices.
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AI Risk Repository – What are the risks from Artificial Intelligence?
The AI Risk Repository has three parts:
- The AI Risk Database captures 700+ risks extracted from 43 existing frameworks, with quotes and page numbers.
- The Causal Taxonomy of AI Risks classifies how, when, and why these risks occur.
- The Domain Taxonomy of AI Risks classifies these risks into seven domains (e.g., “Misinformation”) and 23 subdomains (e.g., “False or misleading information”).
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Recent Posts
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- SAMURAI – Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory