interpolation Archives

AppWizard

April 3, 2026

‘DLSS fundamentally makes no sense’ says Minecraft creator Notch, but actually it kinda does

Markus Persson, known as Notch, criticized Nvidia's Deep Learning Super Sampling (DLSS) technology on social media, stating that it "fundamentally makes no sense" because it uses the same hardware to run a neural network for frame generation. Community responses clarified that DLSS utilizes specialized hardware, specifically Tensor Cores, optimized for machine learning tasks. Some commentators suggested a focus on raw raster performance instead of machine learning enhancements. Nvidia's vice president, Bryan Catanzaro, emphasized the need for smarter graphics rendering approaches, arguing that brute force methods are inefficient. Current testing of DLSS and Frame Generation is being conducted by an expert named Nick, who is analyzing the GPU's workload in rendering frames. While DLSS has supporters, it also faces criticism, particularly regarding its performance on lower-spec graphics cards.

AppWizard

April 3, 2026

Minecraft creator Notch says ‘DLSS fundamentally makes no sense’, but the X comments say ‘um, actually’

Markus Persson, known as Notch, criticized Nvidia's Deep Learning Super Sampling (DLSS) technology on social media, arguing that it is illogical to use the same hardware that struggles to run games at reasonable speeds to operate a neural network for generating additional frames. He compared DLSS to anti-aliasing, suggesting both technologies complicate the rendering process. Nvidia's vice president, Bryan Catanzaro, highlighted a shift in the industry towards artificial intelligence to improve graphics rendering, stating that traditional methods are no longer sufficient. He emphasized the need for smarter approaches to optimize resource use in graphics rendering. Nick, a tester, is evaluating DLSS and Frame Generation, illustrating the GPU's workload in rendering versus AI interpolation of frames.

AppWizard

March 6, 2026

Building realistic Minecraft worlds with Open Data on AWS: How Arnis uses elevation datasets at scale

Arnis is an open-source tool that transforms real-world locations into Minecraft experiences using geospatial data from Amazon Web Services (AWS). It recently migrated to Terrain Tiles, a global elevation dataset, which has reduced data retrieval costs and improved accessibility for nearly 300,000 users. Users can select geographic regions and customize parameters to generate locations in Minecraft, with the conversion process occurring locally on their machines. The integration of elevation data was a key feature, achieved through a processing pipeline designed by contributors after consulting GIS specialists. This pipeline allows accurate terrain rendering globally, even in areas with significant elevation variations. The transition to Terrain Tiles eliminated the need for a commercial provider, simplifying the codebase and removing account-bound authentication for data access. Previously, users made around 2,000,000 elevation tile requests over three months, incurring substantial costs. Now, users benefit from free access to the Terrain Tiles dataset, enhancing the elevation feature's reliability and accessibility. The Arnis processing pipeline operates on the client’s machine without backend services or API keys, involving steps such as calculating tile coordinates, fetching terrain tiles from AWS, decoding them, applying smoothing, and voxelizing the map data. A local cache is used to minimize redundant reads, and the system defaults to flat terrain if the endpoint is temporarily unavailable. Future developments include a public Minecraft server for exploring generated worlds without downloading the application, automatic region selection for optimized data retrieval, expanded landform detection for better representations, and a terrain-only mode for custom city planning and adventure map creation.

AppWizard

December 11, 2025

Minecraft Java Edition 1.21.11

Modifiers in the Environment Attributes system can either override specific attribute values or apply a modifier to a value from a source of lower priority. For example, the overworld dimension sets a waterfogenddistance of 96.0, and the plains biome modifies this distance with a multiply modifier of 0.85, resulting in an effective distance of 81.6 in the plains biome, while it remains 96.0 in other Overworld biomes. The most basic modifier is the override modifier, which replaces the previous value, and if no modifier is specified, the system defaults to override. Interpolation blends values within a single source, allowing for smooth transitions between multiple values, such as sky colors when moving between biomes. Interpolation occurs after modifiers have been applied and can be defined within a timeline using keyframes. Dimension types and biome definitions include an attributes field that links Environment Attribute IDs to their respective values, which default to the override modifier. An Attribute Track in a timeline includes fields like ease for interpolation and keyframes that specify value changes over time. Easing Types determine how interpolation occurs between keyframes, with various built-in options available. The Environment Attributes system also uses common data types such as RGB and ARGB color formats, particle options, and mob activity identifiers for consistency in implementation.