AI Radar

Minimax H3 Character Swap: Time Consumption and Performance Test Across Different Acceleration Schemes

Tech Step Cost Sampling Cost Turbo LoRA 4 632.448s 602.129s Turbo＋Sol 4 717.549s 579.753s Turbo＋Spark-H3 4 682.326s 652.085s Turbo＋VEDA 4 353.355s 321.554s Sol (Only) 16 2309.627s 2280.068s Spark-H3(Only) 16 2441.209s 2411.523s VEDA(Only) 16 993.426s 963.193s Test Environment: RTX 5090 + 96 GB RAM. The reference video has a total duration of 18 seconds; only the first 15 seconds were tested, with a resolution of 1MP. The tests are driven via Codex Sol 6.1, so the results may not be rigorous. submitted by /u/Mysterious_Pride_858 [link] [comments]

Higgsfield takes AI video from 1 minute to over 10

Higgsfield brings creators longer videos with GPT-6 Astra, precise visuals with GPT-Image-2.5, and a path to voice filmmaking with GPT-Live.

Immersive Exhibition made with Minimax H3

I participated in a "Museum Night" exhibition and created a 3min immersive show called Liquid Geometry. First I started thinking about a concept, following the general art style and created keyframes, before using minimax h3 for video generation. As the space is huge and covered with roughly 100 projectors, I had a ton of clips (around 300) to generate for the different projection surfaces. Each clip was 12sec long, rendered at 1MP using a single pass with 16 steps, the final videos were then stiched together, color graded and upcaled using Topaz. I used different GPUs (first 2 locally, the…

Multics: Generative Multi-Player World Model with Hierarchical Communication

Multi-player interactive world models aim to simulate shared environments from multiple players' perspectives, but achieving robust generation while scaling to more players remains challenging. Existing approaches that rely on fully-connected communication (e.g., Solaris) incur quadratic attention costs as the number of players grows, while centralized approaches (e.g., γ-World) suffer from interference between unrelated events in a shared global representation. To address these challenges, we present Multics, a multi-player video generation framework with hierarchical communication that…

Xbox is officially embracing the chaos of AI-powered game ports

Retro gaming is going through a wild time at the moment, thanks to decompilations and recompilations that are letting gamers port classic titles to new devices, or merge code from two different games into a single new experience. Microsoft has witnessed skateboarding being modded into Call of Duty and Halo being played in a web […]

Redesigning source control at Anthropic

Redesigning source control at Anthropic Interesting piece from Anthropic describing why and how they built their own custom alternative to Git, based on the dramatic increase in rate of changes to their code after the past six months. In May 2026, Anthropic averaged around 2,500 code changes merged per day; as of September, we merged over 30,000 per day. They included a chart showing those changes. I had Claude modify their chart ( code here ) to add markers for the public releases of each of their models in 2026: This shows public release dates, not the date when models became available for…

Gemini 4 Argon: Built to solve your hardest problems

TBD

Asana cuts model costs 76x in browser tests with GPT-6.1 Sol

Using GPT-6 Astra in Codex, Asana made its browser agent 76x cheaper and 5x faster in tests to offer customers more capable models.

Gemini 4 Argon

Jeva: System One Models from First Principles

System one models enable direct, low-latency decision-making. Yet recent practice of predicting an answer from serialized text does not, by itself, respect the structure of a decision problem. We argue that current designs underemphasize four important structural requirements. (i) null-aware: Models should distinguish answer absence from uncertainty among candidates; (ii) permutation-invariant: Reordering alternatives should not change the decision; (iii) option-scalable: Growing candidate sets should not require redefining the output space; (iv) cacheable: Request-independent computation…

European Cities Deploy NVIDIA-Powered AI Agents to Run Smarter Urban Operations

Keeping a city running means making decisions that affect residents every day — from when to repair a road to how to use energy more efficiently. Across the EMEA region, cities and local software, infrastructure and integration partners are using NVIDIA accelerated computing to build physical AI agents and digital twins that help teams make […]