Summary
According to a post on X by @XunzhuoLiu, AMD and the vLLM Semantic Router team have released d3-ultra, an open 27B decision model. The post says it handles text, images and video, draws boxes around what it finds, tracks objects over time, and gives a probability for each answer. It ranks second of 230 on the Jev Decision Index text board, 3.03 points ahead of d3, and was trained and served on AMD Instinct GPUs. The weights are listed as Apache-2.0 on Hugging Face.
AI-assisted summary based on the listed source.
What happened
d3-ultra handles text, images and video, draws boxes around what it finds and tracks objects over time, and gives a probability for each answer. It ranks second of 230 on the Jev Decision Index text board, 3.03 points ahead of d3, and was trained and served on AMD Instinct GPUs. Weights are Apache-2.0 on Hugging...
Why it matters
Developers and businesses looking at open models for multimodal decision tasks can review d3-ultra's weights, which the post says are Apache-2.0 licensed. The post also says the model was trained and served on AMD Instinct GPUs, which is relevant for teams weighing AMD hardware for AI workloads. Readers should check the Jev Decision Index results and the Hugging Face model card directly, since this comes from a single social post and the snippet is cut off.
What this means for you
Hardware and robotics watchers may want to track whether this becomes a product, benchmark, or deployment signal.
Signal Intelligence
Signal Strength 90%
Technical label WATCH
Public Interest 61
Category ROBOTS & HARDWARE
Reader Depth TECHNICAL
Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.
Public Interest components
Recognizable Entity Score 73
Practical Impact Score 56
Novelty Interest Score 94
Consequence Score 30
Curiosity Score 16
Shareability Score 71
Why this is here
VQV surfaced this signal because it is recent, relevant to AI Chips, connected to Scobleizer News Pulse (X).
