BREAKING NEWS
LATEST POSTS
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BorisFX Silhouette 2024 – What’s New in Roto
https://cdn.borisfx.com/borisfx/store/silhouette/2024-0/Silhouette-2024-WhatsNew.pdf
Matte Assist ML
Automatically generates a matte over time based on single or multiple
keyframed roto shapes or input mattes using machine learning object
segmentation and propagation.Optical Flow ML
Generates machine learning powered optical flow data for use in one of the
Roto based node’s Flow Tracker: Roto, Roto Blend, Tracker, Power Mask,
Morph and Depth. Optical flow estimates per-pixel motion between frames and
can be used to track shapes and objects.Retime ML
A machine learning motion estimation and retiming model that produces
smooth motion. Expands or contracts the timing of a selected range of frames.
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Eating rocks and other shocking Google AI answers we’ve seen so far
https://www.fastcompany.com/91132974/shocking-google-ai-overview-answers
No. Do NOT eat rocks or put them into food!
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Daniel Parris – The Broken Economics of Streaming Services: A Stats Explainer
https://www.statsignificant.com/p/the-broken-economics-of-streaming
This report examines the financial instability in the streaming industry, focusing on the unsustainable economic models of platforms such as Paramount Plus.
Content Costs and Subscriber Retention
- Expenditure on Content: Streaming services invest heavily in content creation and acquisition to attract subscribers.
- Diminishing Returns: The escalating costs lead to diminishing returns as subscriber growth plateaus.
Competitive Landscape
- Continuous Production: High competition forces continuous, expensive content production to retain subscribers.
Future Projections
- Cable TV Model: The industry may shift towards models resembling traditional cable TV, incorporating advertising, subscription bundling, and higher prices to achieve financial sustainability.
NEWS TV NEWS
Hollywood’s Top TV Execs Are Happy About The Death Of Peak TV – Here’s Whyhttps://www.slashfilm.com/1593571/peak-tv-dead-hollywood-top-tv-execs-happy/
- Streaming services weren’t required to reveal their subscription numbers or actual viewership
- Shows just needed to look good on paper for investors and stockholders.
- Creators and actors soon learned they weren’t getting paid beyond an initial flat fee; royalties were now gone.
- 600 shows at once wasn’t good for anyone
- Thanks to the strikes, it all came crashing down
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Sangeet Paul Choudary – AI won’t eat your job, but it will eat your salary
https://medium.com/@sanguit/ai-wont-eat-your-job-but-it-will-eat-your-salary-a810121d89e4
intelligence (AI) is likely to impact job salaries rather than eliminating jobs entirely. The primary argument is that AI will erode the skill premium traditionally commanded by high-skilled workers. This erosion happens through three key mechanisms:
- Skill Premium on Specialized Tasks: AI enables low-skilled workers to perform tasks at a level comparable to high-skilled workers, making skilled workers more substitutable and reducing their wage premium.
- Skill Premium on Learning Advantages: AI’s ability to continuously learn and improve from vast amounts of data threatens professions that rely on continuous learning and skill development. For example, in healthcare, AI can absorb and replicate the learning and expertise of doctors, diminishing their unique value.
- Skill Premium on Managerial Advantages: AI agents can take over managerial tasks like planning and resource allocation, which have traditionally required human intervention. As AI becomes more sophisticated, even complex managerial roles might lose their premium as AI performs these functions more efficiently.
These factors collectively lead to a commoditization of skills, reducing the relative advantage and salary premium of traditionally high-skilled and managerial roles. The article emphasizes that while AI may not replace jobs outright, it will significantly affect how jobs are valued and compensated.
FEATURED POSTS
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TED 2025 Rob Bredow – Artist-Driven Innovation in the Age of AI
https://robbredow.com/2025/05/ted-artist-driven-innovation/
https://www.ted.com/talks/rob_bredow_star_wars_changed_visual_effects_ai_is_doing_it_again
Rob Bredow speaks at SESSION 3 at TED 2025: Humanity Reimagined. April 7-11, 2025, Vancouver, BC. Photo: Gilberto Tadday / TED
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AI Data Laundering: How Academic and Nonprofit Researchers Shield Tech Companies from Accountability
“Simon Willison created a Datasette browser to explore WebVid-10M, one of the two datasets used to train the video generation model, and quickly learned that all 10.7 million video clips were scraped from Shutterstock, watermarks and all.”
“In addition to the Shutterstock clips, Meta also used 10 million video clips from this 100M video dataset from Microsoft Research Asia. It’s not mentioned on their GitHub, but if you dig into the paper, you learn that every clip came from over 3 million YouTube videos.”
“It’s become standard practice for technology companies working with AI to commercially use datasets and models collected and trained by non-commercial research entities like universities or non-profits.”
“Like with the artists, photographers, and other creators found in the 2.3 billion images that trained Stable Diffusion, I can’t help but wonder how the creators of those 3 million YouTube videos feel about Meta using their work to train their new model.”
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ComfyDock – The Easiest (Free) Way to Safely Run ComfyUI Sessions in a Boxed Container
https://www.reddit.com/r/comfyui/comments/1j2x4qv/comfydock_the_easiest_free_way_to_run_comfyui_in/
ComfyDock is a tool that allows you to easily manage your ComfyUI environments via Docker.
Common Challenges with ComfyUI
- Custom Node Installation Issues: Installing new custom nodes can inadvertently change settings across the whole installation, potentially breaking the environment.
- Workflow Compatibility: Workflows are often tested with specific custom nodes and ComfyUI versions. Running these workflows on different setups can lead to errors and frustration.
- Security Risks: Installing custom nodes directly on your host machine increases the risk of malicious code execution.
How ComfyDock Helps
- Environment Duplication: Easily duplicate your current environment before installing custom nodes. If something breaks, revert to the original environment effortlessly.
- Deployment and Sharing: Workflow developers can commit their environments to a Docker image, which can be shared with others and run on cloud GPUs to ensure compatibility.
- Enhanced Security: Containers help to isolate the environment, reducing the risk of malicious code impacting your host machine.
