BREAKING NEWS
LATEST POSTS
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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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AI and the Law – Artists Score Major Win in Copyright Case Against AI Art Generators
The court declined to dismiss copyright infringement claims against the AI companies. The order could implicate other firms that used Stable Diffusion, the AI model at issue in the case. The case will move forward to discovery, where the artists could uncover information related to the way in which the AI firms harvested copyrighted materials that were then used to train large language models.
FEATURED POSTS
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Tencent Hunyuan3D 2.1 goes Open Source and adds MV (Multi-view) and MV Mini
https://huggingface.co/tencent/Hunyuan3D-2mv
https://huggingface.co/tencent/Hunyuan3D-2mini
https://github.com/Tencent/Hunyuan3D-2
Tencent just made Hunyuan3D 2.1 open-source.
This is the first fully open-source, production-ready PBR 3D generative model with cinema-grade quality.
https://github.com/Tencent-Hunyuan/Hunyuan3D-2.1
What makes it special?
• Advanced PBR material synthesis brings realistic materials like leather, bronze, and more to life with stunning light interactions.
• Complete access to model weights, training/inference code, data pipelines.
• Optimized to run on accessible hardware.
• Built for real-world applications with professional-grade output quality.
They’re making it accessible to everyone:
• Complete open-source ecosystem with full documentation.
• Ready-to-use model weights and training infrastructure.
• Live demo available for instant testing.
• Comprehensive GitHub repository with implementation details.
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Rec-2020 – TVs new color gamut standard used by Dolby Vision?
https://www.hdrsoft.com/resources/dri.html#bit-depth
The dynamic range is a ratio between the maximum and minimum values of a physical measurement. Its definition depends on what the dynamic range refers to.
For a scene: Dynamic range is the ratio between the brightest and darkest parts of the scene.
For a camera: Dynamic range is the ratio of saturation to noise. More specifically, the ratio of the intensity that just saturates the camera to the intensity that just lifts the camera response one standard deviation above camera noise.
For a display: Dynamic range is the ratio between the maximum and minimum intensities emitted from the screen.
The Dynamic Range of real-world scenes can be quite high — ratios of 100,000:1 are common in the natural world. An HDR (High Dynamic Range) image stores pixel values that span the whole tonal range of real-world scenes. Therefore, an HDR image is encoded in a format that allows the largest range of values, e.g. floating-point values stored with 32 bits per color channel. Another characteristics of an HDR image is that it stores linear values. This means that the value of a pixel from an HDR image is proportional to the amount of light measured by the camera.
For TVs HDR is great, but it’s not the only new TV feature worth discussing.
(more…)
