#Other

AIArtificial Analysis shares the second part of an AA-Video-T2V v2.0 prompt describing a four-shot documentary-style handheld video of a glass cabin in falling snow. The shots follow a caretaker sweeping snow from the deck, empty snow-covered windows, an empty interior, and the same caretaker stamping snow off his boots at the door, with hard cuts between shots.

AIArtificial Analysis shares an AA-Video-T2V v2.0 text-to-video prompt, a 10-second product-page scene of a presenter revealing a volcano-shaped mist diffuser. The prompt specifies a shift from warm daylight to dim evening lamplight, fixed close-up camera angles, and consistent presenter and product appearance across shots.

AI…Imagine Video 1.5 Lite costs $0.14 per second, against $0.40 per second for Veo 3.1. It ranks #17 on AA-Video-T2V v2.0, two places above Veo 3.1. Against Grok Imagine Video 1.5, Lite costs 44% less at 1080p and ranks six places lower.

AI…ARC-AGI-2: 61.4%, $2.01/task - ARC-AGI-1: 90.2%, $0.64/task Grok 4.7 scores higher than Grok 4.6 on ARC-AGI-1, but lower on ARC-AGI-2 and 3.

AIIndexTeam released Index-Nailong-9B-FP4, an official NVFP4 (W4A4) quantization of the Index-Nailong-9B multilingual translation model, which covers 150 languages. In a validation on an NVIDIA A100 against the BF16 checkpoint, perplexity rose 3.10% (2.4339 to 2.5094), and zh-en and en-zh outputs were semantically equivalent. Full FP4 compute acceleration requires an NVIDIA Blackwell GPU, while older GPUs get memory savings only; the FP8 build is recommended for Hopper and Ampere.

AIWe’d love to see your demos and hear your feedback. Join the official Ant Ling Discord to share your work and follow what’s next:

AIFeedback from AQ and (Good Doctor Online) scenarios informed training. Ling-3.1-flash scores 65.35 on HealthBench Professional—an evaluation result, not clinical certification.

AIModel page:

AIZ.ai says GLM-5.3 is available now through GLM Coding Plan and ZCode. API access and open weights will follow in stages after rigorous safety evaluations.

AIWe’ve included some details of Inkling-Small, a lighter-weight model trained on a similar recipe, with full weights to follow.

AI…strong linear sequence model. Today we release Mamba-3, the most powerful linear model to date.

AIMistral announces Voxtral 2 with two transcription models: Voxtral Realtime, released under an Apache 2 license with latency configurable to sub-200 ms, and Voxtral Mini Transcribe 2, which adds speaker diarization, word-level timestamps, and context biasing. The models support 13 languages and are available through the Mistral API, which the post describes as one of the most cost-effective transcription APIs on the market. The attached chart shows word error rates on FLEURS across Italian, Spanish, English, German, Portuguese, French, Russian, Dutch, and Chinese at several latency settings.