The reporting

3 articles

Topic: vision-language models

An open laptop on a wooden desk beside stacked books, representing local AI inference on everyday hardware

NEWS AI Applications

A 280M-parameter sidecar makes a vision-language model up to 3.13x faster on a laptop, with no change to output

Liquid AI's new 280M-parameter DSpark drafter guesses ahead so the LFM2.5-VL-3B vision model verifies instead of computing every token. All speedups are self-reported; here is how the technique works and where its gains stop.

Cross-sectional computed tomography images of the chest displayed on clinical viewing monitors.

NEWS Space & Aerospace / AI in Medicine

NVIDIA's NV-Reason-CT reads 3D CT scans and shows its work, radiologist style

NVIDIA's new open model reads full 3D CT scans and narrates its reasoning step by step, like a radiologist thinking aloud. It scored best-in-class on a public benchmark and won praise from NIH radiologists, but it is a research foundation model, not a cleared diagnostic tool. Nothing about patient care changes today.

Research illustration showing the same recorded robot trajectory receiving different progress scores under two equivalent instructions about placing a radish in a pink bowl.

ANALYSIS Robotics

RoboRMBench Exposes Wording-Sensitive Reward Scores in Robot Learning

A new preprint tests vision-language reward models on 2,390 recorded real-robot trajectories and finds that equivalent instructions can produce contradictory judgments, revealing a measurable reliability gap before physical deployment.