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👀 A little teaser for builders… The Tutorial Agent 3D model is complete and ready to enter your games 🎮✨ 📦 Specs: • 18k polygons • 9× 4K textures (Albedo, Roughness, Metallic, Normal, Emission, Opacity, Coat Weight, Coat Roughness, Coat Color) • Full rig for animations Soon, you’ll be...

15,390 просмотров • 11 месяцев назад •via X (Twitter)

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Following our breakdown of Ultra Red, another finish that deserves an engineering deep dive is Pearl White Multi-Coat. While it is one of the most common Tesla colors on the road, the factory science behind its layered construction is exceptionally complex 🔥 🚗 Pearl White served as the primary no-cost paint option across much of Tesla's North American lineup starting in 2019, making it a familiar sight. Tesla later transitioned the included color to Midnight Silver Metallic and eventually Stealth Grey on newer configurations, returning Pearl White to a paid upgrade depending on the specific model and market. 🔬 The fundamental difference between Ultra Red and Pearl White comes down to how each paint stack manipulates light. Ultra Red relies on chromatic absorption, using a translucent red mid-coat to filter light and amplify color saturation. In contrast, Pearl White relies on optical interference, combining a high-opacity foundation with pearlescent effect platelets. 🎨 Known by the factory paint code PPSW, the process begins with an opaque white ground coat applied after the e-coat and primer stages. Like most high-opacity automotive whites, this ground coat likely relies heavily on titanium dioxide pigment, which provides the opacity and uniform hiding required for the effect layer above. ✨ The signature dimension happens in the translucent mid-coat layer. The layer contains pearlescent effect pigments, which in automotive coatings commonly consist of microscopic mica or synthetic platelets coated with metal oxides. When sunlight hits this layer, light reflects and transmits across multiple interfaces within the coated platelets. These light waves interfere with one another, creating a dynamic shimmer and soft color shift across the body contours. ☀️ This optical interference explains why Pearl White can look noticeably different depending on the ambient lighting. In diffuse overcast conditions, directional sparkle is subdued and the solid white ground coat dominates the appearance. Under direct sunlight, the microscopic platelets catch the light, creating a warm, multi-dimensional iridescence that contours around every curve. 🧩 That sensitive flake behavior also explains the occasional factory color mismatch seen between plastic bumpers and adjacent metal quarter panels. Bumpers are often painted separately using plastic-specific coating processes and lower curing temperatures, sometimes with flexibility additives. Differences in substrate behavior, evaporation rate, application method, curing conditions, and part geometry can cause the pearl particles to orient differently. Curved plastic and metal surfaces also reflect light at different angles, making even a small color variation more visible at the mating seam. 🛠️ Much like Ultra Red, this multi-stage system makes repainting a damaged panel notoriously demanding for collision centers. While an Ultra Red painter is managing color darkness and saturation, a Pearl White technician is managing mid-coat film thickness, coverage, particle orientation, and spray technique. 💸 The translucent mid-coat is the most sensitive variable in the paint booth. Applying too light a coat leaves the repair looking flat and chalky, while additional film build can alter the brightness, hue, and pearl effect enough to make the repaired area visibly different. 🏎️ To prevent mismatched panels, painters typically spray a let-down panel or a series of spray-out cards to determine the best-matching mid-coat pass count required for the finish. Technicians may also need to blend the base and mid-coat into adjacent undamaged panels to ensure a seamless visual transition before applying clearcoat edge-to-edge across each affected panel. 💰 Both Ultra Red and Pearl White show how Tesla uses multi-coat engineering to elevate automotive colors. Whether selectively filtering light through high-chroma translucent pigments or relying on microscopic pearl interference platelets, achieving that factory depth requires serious precision on the assembly line and in the paint booth.

Ming

35,590 просмотров • 13 дней назад

Introducing the new Box Agent. The Box Agent works across your entire Box file system, maintaining all your security and access controls, and is hyper tuned for working with enterprise content. This means you can now ask questions from all your enterprise content, search for files that were impossible to find before, deploy an agent on specific tasks on subsets of documents, analyze complex data sets, and generate or edit documents and spreadsheets via the agent. You can have the Box Agent search across your Box account to prepare for a sales meeting, analyze customer sentiment reports, process a large set of contracts for legal risk, provide insights into product development, leverage existing knowledge to answer RFPs, and thousands of other use-cases. 90% of enterprise data is unstructured data. This means most enterprise knowledge is sitting in inside of research reports, marketing assets, presentations, roadmap files, contracts, HR documents, and more. This is the critical context that agents need to be able to answer questions about a business, automate workflows, or serve up to other agents. We’ve been grinding on this for a quite a bit, and due to recent AI model advancements we’re now ready to release it to customers. Previous model generations had a difficult time knowing when to give up or keep going on a search, when to browse for files vs. use queries, how to rank files appropriately to know which version of content to use, how to handle large amounts of context to comb through, and more. Due to recent breakthroughs from models like GPT-5.4, Opus 4.6, and Gemini 3, we’ve seen major gains in tool calling, code execution, advanced reasoning, and more. Combined with an agent harness tuned to Box context, now it’s finally possible to have an agent that can work across your file system on long running tasks and actually deliver high quality results. Best of all, because the Box Agent works with any leading AI model, you’ll quickly get the gains coming out of the major labs as major new models are released. Further, openness at Box is key, so you’ll be able to call up the Box Agent from Box’s APIs and MCP server, so you can interact with Box intelligently from any other AI system. We know work happens everywhere, and we want to ensure you can access to the content you need from those places. The new Box Agent is available starting today, rolling out now for Enterprise Plus and Enterprise Advanced customers.

Aaron Levie

44,624 просмотров • 5 месяцев назад