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Models2026-08-13 · source-backed
Liquid AI released a 3.1B open-weight VLM in about 3 GB: 80.7 average across ScreenSpot-v2 desktop/mobile/web splits, RefCOCO grounding precision up 30+ points to 87.9, 228 tok/s on an M5 Max, 116 on a Ryzen AI Max+ 395, 20 on a Galaxy S26 Ultra. Screen understanding plus coordinate grounding plus function calling from image input is precisely the stack a local computer-use agent needs, with no image leaving the device.
Each link below shares sources, entities, or timing with this story.
Shared entities / Same source domain / Shared topic / Earlier coverage / Tension
Both cover LFM2, Liquid AI; reported by the same outlet (liquid.ai); overlapping topics (agent, calling).
Shared entities / Shared topic / Earlier coverage
Both cover LFM2, Liquid AI, M5 Max; overlapping topics (calling, desktop); earlier LFM2 coverage from 2026-08-09.
Shared entities / Earlier coverage / Tension
Both cover M5 Max, Ryzen AI Max; earlier M5 Max coverage from 2026-06-28; pushes against this story (but).
Shared entities / Earlier coverage
Both cover M5 Max, Ryzen AI Max; earlier M5 Max coverage from 2026-08-10.
Both cover LFM2, Liquid AI; earlier LFM2 coverage from 2026-08-06.
Shared entity: Screen / Shared topic / Earlier coverage
Both cover Screen; overlapping topics (agent, screen); earlier Screen coverage from 2026-08-06.
Shared entity: VLM / Shared topic / Earlier coverage
Both cover VLM; overlapping topics (agent, grounding); earlier VLM coverage from 2026-08-03.
Shared entity: ScreenSpot / Shared topic / Earlier coverage
Both cover ScreenSpot; overlapping topics (agent, computer-use); earlier ScreenSpot coverage from 2026-07-17.