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  # 🚀 NeuralAI Development Roadmap
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- **Version Target: 6.0 (The Workstation Pivot)**
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- **Last Updated: June 6, 2026**
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  ## 📊 System Status
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- - **Main Service:** **READY** (Unified `file neural_core_service.py`)
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  - **Voice Service:** **READY** (ElevenLabs v2 Migrated)
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- - **Model:** SmolLM2-360M-Instruct + DPO v14.0 (In Progress)
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  - **Context:** System-wide (Expanding)
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- ### Latest DPO Run (v13.0)
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- - **Training samples:** 363
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- - **Validation samples:** 41
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  - **Epochs:** 3
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- - **Best checkpoint:** `checkpoint-69`
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- - **Best validation loss:** `0.7232`
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- - **Eval progression:** `1.6713` → `0.8969` → `0.7232`
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- - **Alignment improvement:** `56.73%` reduction from first eval to best checkpoint
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- - **Completed:** `2026-05-17 08:41 UTC`
 
 
 
 
 
 
 
 
 
 
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  # 🚀 NeuralAI Development Roadmap
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+ **Version Target: 6.0 (The Workstation Pivot) + 7.2 Resilient Runtime**
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+ **Last Updated: July 15, 2026**
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  ## 📊 System Status
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+ - **Main Service:** **READY & RESILIENT** (`webui_service.py` v7.2.0 — auto-restart, memory watchdog, ZO-native inference backend)
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  - **Voice Service:** **READY** (ElevenLabs v2 Migrated)
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+ - **Model:** SmolLM2-360M-Instruct + DPO v15.0 (Deployed)
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  - **Context:** System-wide (Expanding)
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+ ### Latest DPO Run (v15.0)
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+ - **Training samples:** 597 (expanded from 302)
 
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  - **Epochs:** 3
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+ - **Steps:** 450
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+ - **Final training loss:** `0.305`
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+ - **Reward margin:** `~0.5` → `~3.5`
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+ - **Hardware:** Apple Silicon MPS (MacBook Air M4)
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+ - **Duration:** `730.5s` (~12 min)
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+ - **Completed:** `2026-07-11 20:00 UTC`
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+ - **Adapter:** live on HF `Subject-Emu-5259/NeuralAI`
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+ ### Deployment & Inference (updated July 15, 2026)
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+ - **Host:** ZO Computer (Free plan, 4 GB RAM) at `neuralai-deandrewharris.zocomputer.io`
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+ - **Inference backend:** `LLM_BACKEND=zo` → ZO native `/zo/ask` using the user's own BYOK model (`byok:0d3567f7-f521-42b0-8adf-65c9b036cf89`). Uses **0 MB local RAM**.
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+ - **Why not local:** Loading PyTorch + SmolLM2-360M on a 4 GB box used ~6.2 GB → OOM-kill loop that paused the service. The ZO backend removes that dependency entirely (see `docs/INCIDENT-2026-07-14-NEURALAI-PAUSES.md`).
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+ - **Local PyTorch backend:** still available via `LLM_BACKEND=local` on GPU/Colab-class machines (≥8 GB RAM) for offline/private inference.
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+ - **Resilience:** supervisor auto-restart, `/api/health` keepalive, and a memory watchdog that runs GC before any OOM. Service verified stable after the July 15 fix (free RAM returned to ~3 GB).
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