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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memerwala_londa – Ghibli like Midjourney and Kling video
https://www.reddit.com/r/midjourney/comments/1lbblfq/ghibli_style_game_guide_included/
Made everything on Edits App
Image Generation on Midjourney
Video Generation on Kling 2.1I used Joystick png to add buttons,then some asmr video sounds to make it look more lively,I used text as Buttons,
Prompts:
All Prompts are in order just like in video
First-person POV video game screenshot, playing as a young anime protagonist in a slightly oversized white t-shirt and knee-length blue shorts. Visible hands pushing open a sun-faded wooden door, forearms resting on the frame. In a dusty hallway mirror reflection: character’s soft Ghibli-style face with windblown hair. Inside a cozy coastal cottage: slanted sunlight through lace curtains, pastel walls with watercolor seascapes, overstuffed bookshelf spilling seashells. Foreground: ‘E: Rest’ prompt over a quilted sofa. Background: steaming teacup on a driftwood table, open window revealing distant lighthouse and Miyazaki fluffy clouds. Soft painterly textures, slight fisheye lens, identical HUD (minimap corner, health bar)
First-person POV video game screenshot, playing as a young anime protagonist in a slightly oversized white t-shirt and knee-length blue shorts. View includes visible hands gripping a steering wheel, sunlit arms resting on car door, and rearview mirror showing character’s soft Ghibli-style face with windblown hair. Driving through a vibrant coastal town: cobblestone streets, pastel houses with flower boxes, distant lighthouse. Soft painterly textures, Miyazaki skies with fluffy clouds, slight fisheye lens effect, HUD elements (minimap corner, health bar).
First-person POV video game screenshot, playing as a young protagonist in a loose white t-shirt and faded denim shorts. Visible arms holding a woven basket, sneakers stepping on rain-damp cobblestones. Walking through a chaotic Ghibli street market: cramped stalls selling glowing mushrooms, floating lanterns, and spiral-cut fruits. Fishmonger shouts while soot sprites dart between crates. Foreground: vendor handing you a peach (interactive ‘E’ prompt). Background: yakuza thugs lurking near a steaming noodle cart. Soft painterly lighting, depth of field, subtle HUD (minimap corner, health bar). Studio Ghibli meets Grand Theft Auto
First-person POV video game screenshot, playing as a young anime protagonist in a slightly oversized white t-shirt (salt-stained sleeves) and knee-length blue shorts, visible hands gripping a bamboo fishing rod. Kneeling on a mossy dock pier at sunset, arms resting on knees. Foreground: ‘E: Reel In’ prompt as line pulls taut. Background: pastel fishing boats, distant lighthouse under Miyazaki’s fluffy clouds. Glowing koi fish breaching turquoise water, soot sprites stealing bait from a tin. Identical soft painterly textures, fisheye lens effect, HUD (minimap corner, health bar).
Video Prompts :
All Prompts are in order just like in video
The black-haired boy strides from the rustic house toward the ocean, the camera tracking his movement in a GTA-style third-person perspective as coastal winds flutter white curtains and sunlight glimmers on distant sailboats, blending warm interior details with expanding seaside horizons under a tranquil sky.
The brown-haired boy drives a vintage blue convertible along the coastal cobblestone street, colorful flower-adorned buildings passing by as the camera follows the car’s journey toward the sunlit ocean horizon, sea breeze gently tousling his hair under a serene sky.
The young boy navigates the bustling cobblestone market, basket of oranges in arm, as vibrant stalls and fluttering awnings frame his journey, the camera tracking his focused stride through chattering crowds under swaying traditional lanterns.
A school of fish swims gracefully through crystal-clear water, sunlight filtering through the surface, coral reefs swaying gently, creating a serene underwater scene with the camera stationary.
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Animation/VFX/Game Industry JOB POSTINGS by Chris Mayne
Chris is now using Google’s Looker Studio (this may better help those that aren’t able to use the filters on the spreadsheet):
https://lookerstudio.google.com/u/0/reporting/2f39b56e-7393-4aa2-9fd5-bf8bf615c95f/page/5koHB
Older format: docs.google.com/spreadsheets/d/1eR2oAXOuflr8CZeGoz3JTrsgNj3KuefbdXJOmNtjEVM/edit#gid=0
For any studios that would like to add positions to this, please feel free to use the following form:
https://docs.google.com/forms/d/e/1FAIpQLSeXziY3GQ8N7bxM-GxwDoZ7AimguHru0105PLVQtNYygswIlw/viewform
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The Perils of Technical Debt – Understanding Its Impact on Security, Usability, and Stability
In software development, “technical debt” is a term used to describe the accumulation of shortcuts, suboptimal solutions, and outdated code that occur as developers rush to meet deadlines or prioritize immediate goals over long-term maintainability. While this concept initially seems abstract, its consequences are concrete and can significantly affect the security, usability, and stability of software systems.
The Nature of Technical Debt
Technical debt arises when software engineers choose a less-than-ideal implementation in the interest of saving time or reducing upfront effort. Much like financial debt, these decisions come with an interest rate: over time, the cost of maintaining and updating the system increases, and more effort is required to fix problems that stem from earlier choices. In extreme cases, technical debt can slow development to a crawl, causing future updates or improvements to become far more difficult than they would have been with cleaner, more scalable code.
Impact on Security
One of the most significant threats posed by technical debt is the vulnerability it creates in terms of software security. Outdated code often lacks the latest security patches or is built on legacy systems that are no longer supported. Attackers can exploit these weaknesses, leading to data breaches, ransomware, or other forms of cybercrime. Furthermore, as systems grow more complex and the debt compounds, identifying and fixing vulnerabilities becomes increasingly challenging. Failing to address technical debt leaves an organization exposed to security risks that may only become apparent after a costly incident.
Impact on Usability
Technical debt also affects the user experience. Systems burdened by outdated code often become clunky and slow, leading to poor usability. Engineers may find themselves continuously patching minor issues rather than implementing larger, user-centric improvements. Over time, this results in a product that feels antiquated, is difficult to use, or lacks modern functionality. In a competitive market, poor usability can alienate users, causing a loss of confidence and driving them to alternative products or services.
Impact on Stability
Stability is another critical area impacted by technical debt. As developers add features or make updates to systems weighed down by previous quick fixes, they run the risk of introducing bugs or causing system crashes. The tangled, fragile nature of code laden with technical debt makes troubleshooting difficult and increases the likelihood of cascading failures. Over time, instability in the software can erode both the trust of users and the efficiency of the development team, as more resources are dedicated to resolving recurring issues rather than innovating or expanding the system’s capabilities.
The Long-Term Costs of Ignoring Technical Debt
While technical debt can provide short-term gains by speeding up initial development, the long-term costs are much higher. Unaddressed technical debt can lead to project delays, escalating maintenance costs, and an ever-widening gap between current code and modern best practices. The more technical debt accumulates, the harder and more expensive it becomes to address. For many companies, failing to pay down this debt eventually results in a critical juncture: either invest heavily in refactoring the codebase or face an expensive overhaul to rebuild from the ground up.
Conclusion
Technical debt is an unavoidable aspect of software development, but understanding its perils is essential for minimizing its impact on security, usability, and stability. By actively managing technical debt—whether through regular refactoring, code audits, or simply prioritizing long-term quality over short-term expedience—organizations can avoid the most dangerous consequences and ensure their software remains robust and reliable in an ever-changing technological landscape.