BREAKING NEWS
LATEST POSTS
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OpenAI Backs Critterz, an AI-Made Animated Feature Film
https://www.wsj.com/tech/ai/openai-backs-ai-made-animated-feature-film-389f70b0
Film, called ‘Critterz,’ aims to debut at Cannes Film Festival and will leverage startup’s AI tools and resources.
“Critterz,” about forest creatures who go on an adventure after their village is disrupted by a stranger, is the brainchild of Chad Nelson, a creative specialist at OpenAI. Nelson started sketching out the characters three years ago while trying to make a short film with what was then OpenAI’s new DALL-E image-generation tool. -
AI and the Law: Anthropic to Pay $1.5 Billion to Settle Book Piracy Class Action Lawsuit
https://variety.com/2025/digital/news/anthropic-class-action-settlement-billion-1236509571
The settlement amounts to about $3,000 per book and is believed to be the largest ever recovery in a U.S. copyright case, according to the plaintiffs’ attorneys.
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Sir Peter Jackson’s Wētā FX records $140m loss in two years, amid staff layoffs
https://www.thepost.co.nz/business/360813799/weta-fx-posts-59m-loss-amid-industry-headwinds
Wētā FX, Sir Peter Jackson’s largest business has posted a $59.3 million loss for the year to March 31, an improvement on an $83m loss last year.
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ComfyUI Thinkbox Deadline plugin
Submit ComfyUI workflows to Thinkbox Deadline render farm.
Features
- Submit ComfyUI workflows directly to Deadline
- Batch rendering with seed variation
- Real-time progress monitoring via Deadline Monitor
- Configurable pools, groups, and priorities
https://github.com/doubletwisted/ComfyUI-Deadline-Plugin
https://docs.thinkboxsoftware.com/products/deadline/latest/1_User%20Manual/manual/overview.html
Deadline 10 is a cross-platform render farm management tool for Windows, Linux, and macOS. It gives users control of their rendering resources and can be used on-premises, in the cloud, or both. It handles asset syncing to the cloud, manages data transfers, and supports tagging for cost tracking purposes.
Deadline 10’s Remote Connection Server allows for communication over HTTPS, improving performance and scalability. Where supported, users can use usage-based licensing to supplement their existing fixed pool of software licenses when rendering through Deadline 10.
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Google’s Nano Banana AI: Free Tool for 3D Architecture Models
https://landscapearchitecture.store/blogs/news/nano-banana-ai-free-tool-for-3d-architecture-models
How to Use Nano Banana AI for Architecture- Go to Google AI Studio.
- Log in with your Gmail and select Gemini 2.5 (Nano Banana).
- Upload a photo — either from your laptop or a Google Street View screenshot.
- Paste this example prompt:
“Use the provided architectural photo as reference. Generate a high-fidelity 3D building model in the look of a 3D-printed architecture model.” - Wait a few seconds, and your 3D architecture model will be ready.
Pro tip: If you want more accuracy, upload two images — a street photo for the facade and an aerial view for the roof/top.
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Blender 4.5 switches from OpenGL to Vulkan support
Blender is switching from OpenGL to Vulkan as its default graphics backend, starting significantly with Blender 4.5, to achieve better performance and prepare for future features like real-time ray tracing and global illumination. To enable this switch, go to Edit > Preferences > System and set the “Backend” option to “Vulkan,” then restart Blender. This change offers substantial benefits, including faster startup times, improved viewport responsiveness, and more efficient handling of complex scenes by better utilizing your CPU and GPU resources.
Why the Switch to Vulkan?
- Modern Graphics API: Vulkan is a newer, lower-level, and more efficient API that provides developers with greater control over hardware, unlike the older, higher-level OpenGL.
- Performance Boost: This change significantly improves performance in various areas, such as viewport rendering, material loading, and overall UI responsiveness, especially in complex scenes with many textures.
- Better Resource Utilization: Vulkan distributes work more effectively across the CPU and reduces driver overhead, allowing Blender to make better use of your computer’s power.
- Future-Proofing: The Vulkan backend paves the way for advanced features like real-time ray tracing and global illumination in future versions of Blender.
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Diffuman4D – 4D Consistent Human View Synthesis from Sparse-View Videos with Spatio-Temporal Diffusion Models
Given sparse-view videos, Diffuman4D (1) generates 4D-consistent multi-view videos conditioned on these inputs, and (2) reconstructs a high-fidelity 4DGS model of the human performance using both the input and the generated videos.
FEATURED POSTS
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Autodesk Shotgun running generative scheduling based on machine learning
www.awn.com/news/autodesk-shotgun-taps-new-tech-future-production-management
With Autodesk’s acquisition of technology known as Consilium, machine learning-driven generative scheduling is coming to Shotgun Software, which will enable more accurate bidding, scheduling, and resource planning decisions.
Machine learning is being brought to production management with generative scheduling in Shotgun, currently in early testing. For producers and production managers, this will make the manual and complex challenge of optimized scheduling and resource planning more dynamic, controllable, and predictive. This feature set will allow producers to plan faster, with greater accuracy and agility to help their teams produce the best work possible.
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Ross Pettit on The Agile Manager – How tech firms went for prioritizing cash flow instead of talent (and artists)
For years, tech firms were fighting a war for talent. Now they are waging war on talent.
This shift has led to a weakening of the social contract between employees and employers, with culture and employee values being sidelined in favor of financial discipline and free cash flow.
The operating environment has changed from a high tolerance for failure (where cheap capital and willing spenders accepted slipped dates and feature lag) to a very low – if not zero – tolerance for failure (fiscal discipline is in vogue again).
While preventing and containing mistakes staves off shocks to the income statement, it doesn’t fundamentally reduce costs. Years of payroll bloat – aggressive hiring, aggressive comp packages to attract and retain people – make labor the biggest cost in tech.
…Of course, companies can reduce their labor force through natural attrition. Other labor policy changes – return to office mandates, contraction of fringe benefits, reduction of job promotions, suspension of bonuses and comp freezes – encourage more people to exit voluntarily. It’s cheaper to let somebody self-select out than it is to lay them off.
…Employees recruited in more recent years from outside the ranks of tech were given the expectation that we’ll teach you what you need to know, we want you to join because we value what you bring to the table. That is no longer applicable. Runway for individual growth is very short in zero-tolerance-for-failure operating conditions. Job preservation, at least in the short term for this cohort, comes from completing corporate training and acquiring professional certifications. Training through community or experience is not in the cards.
…The ability to perform competently in multiple roles, the extra-curriculars, the self-directed enrichment, the ex-company leadership – all these things make no matter. The calculus is what you got paid versus how you performed on objective criteria relative to your cohort. Nothing more.
…Here is where the change in the social contract is perhaps the most blatant. In the “destination employer” years, the employee invested in the community and its values, and the employer rewarded the loyalty of its employees through things like runway for growth (stretch roles and sponsored work innovation) and tolerance for error (valuing demonstrable learning over perfection in execution). No longer.
…http://www.rosspettit.com/2024/08/for-years-tech-was-fighting-war-for.html
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Photography basics: Lumens vs Candelas (candle) vs Lux vs FootCandle vs Watts vs Irradiance vs Illuminance
https://www.translatorscafe.com/unit-converter/en-US/illumination/1-11/
The power output of a light source is measured using the unit of watts W. This is a direct measure to calculate how much power the light is going to drain from your socket and it is not relatable to the light brightness itself.
The amount of energy emitted from it per second. That energy comes out in a form of photons which we can crudely represent with rays of light coming out of the source. The higher the power the more rays emitted from the source in a unit of time.
Not all energy emitted is visible to the human eye, so we often rely on photometric measurements, which takes in account the sensitivity of human eye to different wavelenghts
Details in the post
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