Command to completion
Spoken intent, dialogue, governed execution and completion—under explicit human authorization.
TIN MAN v5.0 · DEFINITIVE L3 · COCKPIT V3 RELEASE LINE v5.37
Tin Man v5 — intelligence, governed into action.
A sovereign cognitive architecture that sees, hears, speaks, reasons and can carry an authorized objective through to completion on a single NVIDIA Jetson AGX Thor. L3 definitive. L4 remains human.
RELEASE TRUTH · FORGEJO VERIFIED 12 JUL 2026
Tin Man v5.0
Definitive L3.
COCKPIT V3 · CURRENT RELEASE LINE v5.37
Voice navigation, persistent dialogue, scene description and hardware-node speech—inside the same visible governance boundary.
- v4.0ProductionOperational package
- v4.5VitalsProduction proof
- v4.8TruthRecord reconciled
- v5.0DefinitiveL3 capstone
- v5.37CockpitVoice console navigation
26-core live fleet
Perception, cognition, memory, science, voice and governance coordinated on one sovereign edge node.
Failure made visible
Health matrix, crash recovery, liveness and planned capability appear as operating state, not hidden assumptions.
L4 stays human
The system is L3 definitive. Physical autonomy beyond that boundary remains a Principal decision.
COCKPIT V3 · SOVEREIGN EDGE HUD
The machine does not disappear behind a prompt.
It makes its state visible.
Tin Man’s cockpit is the operational surface of the cognitive architecture: perception, voice, reasoning, system health and human authority share one live visual language.
01 · SYSTEM TRUTH
A cockpit that exposes what is alive, what is planned and what requires authority.
The overview combines live fleet status, neural-cortex topology, Conscience observations, Guardian enforcement, dialogue, voice state and the health matrix. At capture time it reported 26 cores, 25 healthy, zero degraded, zero down and one planned.
- VISIBLEFleet, cognition, dialogue and enforcement state
- BOUNDEDPlanned capability remains explicitly planned
- HUMANGoverned actions remain behind Principal authority
02 · VOICE AS AN OPERATING LAYER
“Hey Tin Man” is not a browser trick.
Wake detection, speech recognition, routing, reasoning and speech synthesis run on the sovereign node. English and Italian sessions, persistent dialogue and camera-description flows meet the same governed architecture.
WAKEUNDERSTANDREASONSPEAK
Full-duplex and barge-in remain visibly gate-controlled—not silently enabled.
Dialogue that persists
Spoken, typed and camera-assisted turns share a durable conversation surface instead of vanishing after each request.
Vision that can answer
The operator can ask what the camera sees; the multimodal core describes the current frame and identifies the responding model.
A voice on the node
Replies are spoken through Thor’s hardware speaker—not delegated to a browser or external speech service.
Governance in the interface
The cockpit can read the enforcement plane, but policy authority remains off-box and human-controlled.
THE DIFFERENTIATOR
Native NVFP4 across the entire multimodal stack.
Most edge AI quantizes only the language model and leaves the vision and audio encoders at higher precision. The NVFP4 foundation first proven in Tin Man v3.0 runs the full pipeline — vision (ViT), audio (Conformer), and the language head — in native NVFP4, runtime-validated on a single Blackwell-class device, in English and Italian.
The result: a complete sense–think–speak system resident on one embedded module, with memory and throughput headroom that usually demands the cloud.
MEASURED FOUNDATION · v3.0 PLATFORM MIGRATION · RETAINED IN v5
Up to +36% sustained LLM throughput on the new platform.
These are the measured v3 platform-migration benchmarks that underpin Tin Man v5—not newly invented v5 figures. Every inference engine was rebuilt and measured on this hardware.
LLM · Nemotron-Nano-3-Omni, native NVFP4 (tokens/sec)
| Workload | Prev. gen | v3.0 | Δ |
|---|---|---|---|
| Short greeting (IT) | 19.9 | 24.3 | +22% |
| Short greeting (EN) | 21.1 | 25.8 | +22% |
| Medium technical (IT) | 23.6 | 29.4 | +25% |
| Medium technical (EN) | 25.7 | 28.3 | +10% |
| Long explanation (EN) | 25.2 | 30.7 | +22% |
Per-request gains of +10–25% from the platform migration and the TensorRT 10.16 recompile compound with the new platform's max-performance clocks to ~34 tokens/sec sustained — +36% over the previous baseline.
Voice · streaming synthesis first-audio latency (ms)
| Workload | Prev. gen | v3.0 | Δ |
|---|---|---|---|
| Short (IT) | 192 | 146 | −24% |
| Medium technical (IT) | 176 | 144 | −18% |
| Short (EN) | 161 | 155 | −3% |
Perception
Real-time object detection (camera + LIDAR sensor fusion) — ~7 ms end-to-end (≈ −63% vs previous gen), ~20 Hz (camera-limited).
Efficiency
~58 W under LLM load against a 120 W budget, GPU at its hardware clock ceiling (1575 MHz, ~96% util). Remaining headroom is parallel throughput, not higher clocks.
CAPABILITIES
From multimodal model to governed operating system.
- 01
One model, three modalities
Text, image, and audio in a single on-device NVFP4 model.
- 02
Persistent dialogue and voice navigation
On-box speech, durable transcripts and EN/IT navigation across the Cockpit V3 operating surface.
- 03
Vision that answers
Camera and LIDAR perception plus natural-language description of the current visual scene.
- 04
Governed execution
Intent can progress from dialogue to completion only through signed policy, visible gates and explicit human authority.
- 05
Alchemi scientific co-pilot
Materials goals, governed campaigns, evidence tracking and human promotion gates.
- 06
Crash-durable production state
Sequenced boot, health matrix, recovery evidence and fail-visible operating status.
- 07
26-core cognitive fleet
Perception, language, reasoning, memory, science, operations and governance on one edge node.
COGNITIVE ARCHITECTURE
26 live cores. One governed cognitive fleet.
Tin Man v5 coordinates a 26-core live fleet on a single Jetson AGX Thor. The public capability map below groups the disclosed cognitive domains; the Cockpit V3 capture reported 25 healthy, zero degraded, zero down and one planned core on 12 July 2026.
-
Perception & Sensing
- vision — camera-LIDAR sensor fusion
- retina — visual perception (planned)
- brainstem — LIDAR sensor bridge
- lidar_driver — LIDAR sensor driver
-
Language & Voice
- nemo — multimodal LLM front-door (NVFP4)
- chat — conversational front-door
- riva — speech recognition + 7-language synthesis
- voice_agent — in-room voice agent
-
Reasoning & Memory
- prefrontal — decision router + intent
- conscience — on-device reasoning LLM (Odino)
- memory — episodic memory + retrieval
-
Action, Safety & Governance
- realtime — real-time scheduler
- motion — path planning (planned)
- guardian — safety & compliance enforcement
- conscience_observer — meta-cognitive audit observer
-
Science & Materials
- science — materials simulation
- alchemi_workbench — materials workbench
- alchemi_em — electromagnetic materials simulation
-
Platform & Orchestration
- gateway — strategic gateway
- cockpit — operator console
- agent — content-factory drafting
Public projection by cognitive domain. The current cockpit roster is 26 live cores; restricted implementation detail remains outside this L0 surface.
ARCHITECTURE
Tin Man is how Shield Brain runs.
Tin Man v5 implements the Shield Brain deterministic AI control architecture on NVIDIA Jetson AGX Thor. Its 26-core fleet is sequenced, health-visible and separated into bounded operating domains, while governed execution remains subordinate to signed policy and human authority.
Shield Brain is the deterministic AI control architecture protected by a patent application filed in Canada (2025, pending). It defines the hardware-isolated execution model that guarantees safety-critical determinism under variable generative workloads — and Tin Man is where that architecture becomes operational.
TECHNICAL CONTRIBUTION
A 13-line wiring patch falsified a public-domain limitation.
Native NVFP4 across the vision and audio encoders wasn't free. A public-domain inference held that TensorRT could not parse NVFP4 dequantization for encoder architectures (ViT, Conformer), mandating BF16 fallback. We empirically falsified this. The apparent limitation was a small wiring gap in a post-export rewriter — present in the LLM export path but not the encoder path. Once wired through, the encoder ONNX parses cleanly and the engines build natively in NVFP4.
That fix became the measured quantization foundation carried into Tin Man v5 on JetPack 7.2. The fix-pattern, popularly cited as the 13-line wiring patch, applies as 12 insertions across 6 files in the TRT-Edge-LLM rewriter layer, and is reusable for any NVFP4-quantized encoder architecture.
We documented the finding and prepared a bundle of six atomic patches for upstream contribution to NVIDIA TRT-Edge-LLM.
-
13 LOC
popularly cited (12 insertions across 6 files, precise)
-
+331 / −63 LOC
total atomic patch bundle for upstream
-
6 patches · 3 rounds
NVFP4 encoder export wiring · prepared for upstream
PLATFORM
NVIDIA Jetson AGX Thor — Blackwell embedded.
- NVIDIA JetPack 7.2
- TensorRT 10.16.2
- CUDA 13.2
- Blackwell (sm_110a)
- 128 GB unified memory
- GPU NVIDIA Blackwell embedded (sm_110a) · 80 Tensor Cores Gen 5 · 2560 CUDA cores
- CPU 14× Arm Neoverse V3AE + efficiency cluster
- Unified memory 128 GB LPDDR5x · ~273 GB/s bandwidth
- Storage NVMe PCIe 5.0 · ~14 GB/s sequential read
- Software stack JetPack 7.2 · CUDA 13.2 · TensorRT 10.16.2 · native NVFP4 runtime
- Deployment Containerized · sovereign-by-default · controlled egress remains policy-gated
GOVERNED EXECUTION · DEFINITIVE L3
Capability advances. Authority does not drift.
Tin Man v5 can take an authorized objective from spoken intent through reasoning, tool use and completion while preserving signed policy, physical safety boundaries and explicit human gates. L4 physical autonomy is not inferred from L3 capability; it remains a separate Principal decision.
ECOSYSTEM
NVIDIA Inception member. Ready to contribute upstream.
Reinventy is a member of the NVIDIA Inception program. Tin Man v5 carries forward the full multimodal NVFP4 stack first runtime-validated in v3—including encoder paths the official NVIDIA reference recipe did not quantize natively at the time of measurement.
The encoder NVFP4 export-wiring fix documented above is reusable beyond Reinventy's own deployment, and we have prepared a six-patch bundle ready for community review.
ENGAGE
Capability briefs are released under partnership.
The v5 definitive-state report, Cockpit V3 capability brief, measured v3 performance foundation, upstream patch context and integration roadmaps are released under non-disclosure agreement. Reach out and we will route the conversation to the technical lead.
Direct: engage@reinventy-solutions.ca