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.
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.
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.
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.
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.
Truly Infinite Videos This isn’t a gimmick. You can generate incredibly long videos without frying your VRAM. Perfect for podcasts, presentations, or full-on virtual influencers.
More Than Just Lips This is the best part. It doesn’t just sync the mouth; it generates realistic head movements, body posture, and facial expressions that match the audio’s emotion. It makes characters feel alive.
Keeps Everything Consistent It preserves the character’s identity, the background, and even camera movements from your original video, so everything looks seamless.
Completely Open Source & Ready for Business The code, the weights, and the paper are all out there for you to use. Best of all, it’s released under an Apache 2.0 license, which means you are free to use what you create for commercial projects!
1️⃣ 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 (𝗔𝗜) – The broadest category, covering automation, reasoning, and decision-making. Early AI was rule-based, but today, it’s mainly data-driven. 2️⃣ 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 (𝗠𝗟) – AI that learns patterns from data without explicit programming. Includes decision trees, clustering, and regression models. 3️⃣ 𝗡𝗲𝘂𝗿𝗮𝗹 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀 (𝗡𝗡) – A subset of ML, inspired by the human brain, designed for pattern recognition and feature extraction. 4️⃣ 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 (𝗗𝗟) – Multi-layered neural networks that drives a lot of modern AI advancements, for example enabling image recognition, speech processing, and more. 5️⃣ 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿𝘀 – A revolutionary deep learning architecture introduced by Google in 2017 that allows models to understand and generate language efficiently. 6️⃣ 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 (𝗚𝗲𝗻𝗔𝗜) – AI that doesn’t just analyze data—it creates. From text and images to music and code, this layer powers today’s most advanced AI models. 7️⃣ 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗣𝗿𝗲-𝗧𝗿𝗮𝗶𝗻𝗲𝗱 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿𝘀 (𝗚𝗣𝗧) – A specific subset of Generative AI that uses transformers for text generation. 8️⃣ 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 (𝗟𝗟𝗠) – Massive AI models trained on extensive datasets to understand and generate human-like language. 9️⃣ 𝗚𝗣𝗧-4 – One of the most advanced LLMs, built on transformer architecture, trained on vast datasets to generate human-like responses. 🔟 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 – A specific application of GPT-4, optimized for conversational AI and interactive use.
1. Communicate the Why 2. Explain the context (strategy, data) 3. Clearly state your objectives 4. Specify the key results (desired outcomes) 5. Provide an example or template 6. Define roles and use the thinking hats 7. Set constraints and limitations 8. Provide step-by-step instructions (CoT) 9. Ask to reverse-engineer the result to get a prompt 10. Use markdown or XML to clearly separate sections (e.g., examples)
Top 10 high-ROI use cases for PMs:
1. Get new product ideas 2. Identify hidden assumptions 3. Plan the right experiments 4. Summarize a customer interview 5. Summarize a meeting 6. Social listening (sentiment analysis) 7. Write user stories 8. Generate SQL queries for data analysis 9. Get help with PRD and other templates 10. Analyze your competitors
2- tune the caption with ChatGPT as suggested by Pixaroma: Craft detailed prompts for Al (image/video) generation, avoiding quotation marks. When I provide a description or image, translate it into a prompt that captures a cinematic, movie-like quality, focusing on elements like scene, style, mood, lighting, and specific visual details. Ensure that the prompt evokes a rich, immersive atmosphere, emphasizing textures, depth, and realism. Always incorporate (static/slow) camera or cinematic movement to enhance the feeling of fluidity and visual storytelling. Keep the wording precise yet descriptive, directly usable, and designed to achieve a high-quality, film-inspired result.
1. Use the 80/20 principle to learn faster Prompt: “I want to learn about [insert topic]. Identify and share the most important 20% of learnings from this topic that will help me understand 80% of it.”
2. Learn and develop any new skill Prompt: “I want to learn/get better at [insert desired skill]. I am a complete beginner. Create a 30-day learning plan that will help a beginner like me learn and improve this skill.”
3. Summarize long documents and articles Prompt: “Summarize the text below and give me a list of bullet points with key insights and the most important facts.” [Insert text]
4. Train ChatGPT to generate prompts for you Prompt: “You are an AI designed to help [insert profession]. Generate a list of the 10 best prompts for yourself. The prompts should be about [insert topic].”
5. Master any new skill Prompt: “I have 3 free days a week and 2 months. Design a crash study plan to master [insert desired skill].”
6. Simplify complex information Prompt: “Break down [insert topic] into smaller, easier-to-understand parts. Use analogies and real-life examples to simplify the concept and make it more relatable.”
The intricate relationship between the eyes and the brain, often termed the eye-mind connection, reveals that vision is predominantly a cognitive process. This understanding has profound implications for fields such as design, where capturing and maintaining attention is paramount. This essay delves into the nuances of visual perception, the brain’s role in interpreting visual data, and how this knowledge can be applied to effective design strategies.
This cognitive aspect of vision is evident in phenomena such as optical illusions, where the brain interprets visual information in a way that contradicts physical reality. These illusions underscore that what we “see” is not merely a direct recording of the external world but a constructed experience shaped by cognitive processes.
Understanding the cognitive nature of vision is crucial for effective design. Designers must consider how the brain processes visual information to create compelling and engaging visuals. This involves several key principles:
