
The Video Production Stack Now Fits on One Desk: LTX-2.5 Launches as NVIDIA-Accelerated Open Weights World Model
Video production is shifting as social clips, ad creative and film pre-visualization move from cloud to local GPUs. LTX today released LTX-2.5, an open weights world model for video generation, real-time applications, and physical AI, built for exactly that shift. LTX optimized the model for local inference on NVIDIA RTX GPUs and NVIDIA DGX Spark, cutting VRAM requirements so a frontier world model runs on hardware creators already own. The release anchors NVIDIA’s month-long local AI ser
LTX-2.5 is an open weights world model that generates video on local computer hardware, specifically NVIDIA GPUs, rather than requiring cloud processing. A world model learns to predict the next moment in a sequence, enabling it to generate environments and simulate their behavior for applications in film, advertising, gaming, and robotics. The model runs significantly faster than competing systems, generating a 10-second video clip in about 7 seconds on local hardware compared to 52 to 398 seconds for other options, which makes batch generation and rapid iteration practical for creators. The shift to local generation eliminates per-clip fees and allows solo creators and small teams to produce large volumes of content variations overnight on a single desktop computer, changing how video production workflows operate.
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Anthropic releases new Mythos and Fable models amid RSI concerns
Anthropic says the new models "show improvements in areas like coding, reasoning, and vision," as well as in communicating more clearly with users.
Also reported by The Verge, SiliconANGLE and MarkTechPost

Google Launches Gemini Decisions API With Gemini Decision 1 at $0.10/M Tokens
Google has launched the Gemini Decisions API, powered by a new model, Gemini Decision 1 (gemini-decision-1). The Gemini Decisions API does not generate text. It scores up to 1,000 typed questions against one shared input and returns calibrated probabilities. For developers, this targets the small branching calls inside agents: routing, policy checks, tool selection and grading. Google prices it at $0.10 per 1M input tokens, with zero output tokens billed. TL;DR Size: Context is 262,144 t
Also reported by SiliconANGLE

Google releases Gemini 4 Carbon with agent ‘swarm’ feature
Google is rolling out its latest AI model, Gemini 4 Carbon, to the general public after releasing it to a select group of "cybersecurity defenders" two weeks ago. Google claims Carbon is its "strongest model" yet, and capable of competing with the very best systems from Anthropic and OpenAI. Google says Gemini 4 Carbon "pushes the frontier even further" than Argon, referring to the company's other frontier model that launched only last month. The company said Argon will likely

Gemini 4 Carbon is now available
The latest version aims to deliver improved performance while reducing the computational resources and energy required for AI operations.
Introducing AlphaProof Code: a breakthrough in verifying complex software at depth
AlphaProof Code agents wrote three million lines of proofs in Lean to verify Signal’s core encryption.

NVIDIA launches GR00T 2 and Isaac Lab 3.0 at CoRL
A range of developers, including RLWRLD, Skild AI, and Flexion, are already using NVIDIA’s latest technology. | Source: NVIDIA NVIDIA Corp. today introduced GR00T 2, its updated open frontier world action model, and Isaac Lab 3.0, the latest version of its open-source robot learning framework. The company made these announcements at the Conference on Robot Learning, or CoRL, in Austin, Texas. NVIDIA also gave a look at how its partners, like Ambi Robotics, Bosch Research, Dexmate, Dyna Rob