THE RECORD
SECTION 06
ISSUE 001
Multimodal Data Foundries
Projection: Meta’s native multimodality joins several media in one model; DeepMind’s VLA work aligns perception, language, tools, and action. Data foundries may turn video, audio, telemetry, simulation, and outcomes into synchronized interaction records. Their test is temporal and causal alignment good enough to improve a held-out embodied task.
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