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THE MACHINE ROOM

SECTION 04

ISSUE 001

PROJECTIONhardware1-3yconfidence / medium

Open Instruction Sets Power Edge AI

Projection: Apple’s third-generation foundation stack gives applications a private local execution tier; DeepMind runs a vision-language-action model entirely on robotic devices and adapts it from roughly 50 to 100 demonstrations. These show demand for edge inference, not RISC-V adoption. Open instruction sets win only if specialist hardware remains economical and well supported.

Why this idea is here

What the evidence establishes.

Apple’s June 2026 model report spans on-device and Private Cloud Compute tiers, and current framework documentation exposes local interfaces; Google DeepMind documents low-latency on-device robotics adaptation. The open-instruction-set conclusion remains a projection.

Source ledger

Read the sources.

  1. S01
    Third-generation Apple Foundation Models

    official model release / published 2026-06-08 / retrieved 2026-07-10

  2. S02
    Gemini Robotics On-Device

    official research release / published 2025-06-24 / retrieved 2026-07-09

  3. S03
    Foundation Models framework updates — June 2026

    official current developer documentation / published 2026-06-01 / retrieved 2026-07-10

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