THE RECORD
SECTION 06
ISSUE 001
Native Multimodal Memory
Projection: Meta’s native multimodality links several media inside one model; DeepMind’s planner-plus-VLA system links perception, tools, and physical action. Memory should preserve those relationships as scenes, actions, and uncertainty rather than flattening them into prose. The test is whether cross-modal recall improves later planning without inventing continuity.
Why this idea is here
What the evidence establishes.
Meta documents native multimodality, mixture-of-experts routing, teacher distillation, and a claimed ten-million-token context model; Google DeepMind documents a planner-plus-VLA architecture, cross-embodiment learning, tool use, and multi-step physical tasks. These are source-backed premises for this inference; they do not by themselves prove broad adoption or the eventual outcome.
Source ledger
Read the sources.
- S01Current Llama models and resources
official live model documentation / dated Live source · verified 2026-07-10 / retrieved 2026-07-10
- S02Current Gemini Robotics model overview
official live model documentation / dated Live source · verified 2026-07-10 / retrieved 2026-07-10