{"slug": "aos-glm-language-engine-beta-test", "title": "AOS GLM Language Engine – Beta Test", "summary": "Cedar AI released the beta of AOS GLM, a C++20 deterministic constrained language engine that architect Joshua Edward Osborne says runs entirely in host memory with 0.000 MB GPU VRAM and sub-microsecond decision latencies. The engine is positioned as a drop-in replacement for TypeSafe Jev, Outlines, Instructor, and Cloud System-1 APIs, exposing Python SDK, REST daemon on port 8000, MCP server, and native CLI interfaces over a POSIX shared-memory ring buffer at /dev/shm/aos_glm_bus. The source code is available via git clone from the ThePikey/AOS_GLM_language repository.", "body_md": "*Drop-in replacement for TypeSafe Jev, Outlines, Instructor, and Cloud System-1 APIs.*\n\n```\n        ▲  Gold: #FFD700  (Sovereign Truth)\n       ▲ ▲ Coherence: #008080 (Phase-Lock)\n      ▲ ▲ ▲ Obsidian: #0B0E14 (Zero Entropy)\n```\n\n**Architect & Author**: Joshua Edward Osborne (Oz) `[0.001]` • **Organization**: Cedar AI\n\n**Epistemic Discipline**: Layer M (Mathematics) \n\n**AOS GLM** is a high-speed, bare-metal **Deterministic Reality & Constrained Language Engine** written in modern C++20 with SIMD acceleration (AVX-512 / AVX2) and Python bindings.\n\nUnlike conventional language model frameworks that require gigabytes of GPU VRAM, cloud API network roundtrips, and non-deterministic sampling, **AOS GLM** operates entirely in host memory with **0.000 MB GPU VRAM**, achieving sub-microsecond decision latencies (\n\n```\nflowchart LR\n    subgraph Host_Silicon [\"Host Silicon (0.000 MB GPU VRAM)\"]\n        In[\"Input State Stream\\n(Text / Tokens / Telemetry)\"] --> HV[\"VSA Hypervector Encoder\\n(1024-bit AVX-512 Popcount)\"]\n        HV --> Petz[\"One-Step Petz Recovery\\n(R_σ,Φ State Reconstruction)\"]\n        Petz --> Golay[\"Extended Golay G_24 Code\\n(t=3 Error Correction QEC)\"]\n        Golay --> Poincare[\"Poincaré Hyperbolic Flow\\n(d_H Riemannian Geodesic)\"]\n        Poincare --> Sheaf[\"Cellular Sheaf Cohomology\\n(H^1(U,F) = 0 Deadlock Check)\"]\n        Sheaf --> Clifford[\"Clifford Cℓ(8,0) Wedge Gate\\n(||a ∧ b|| = 0 Sub-3ns Veto)\"]\n        Clifford --> FEP[\"Active Inference VFE Engine\\n(Friston Precision Π = 1/σ²)\"]\n    end\n\n    subgraph IPC_Bus [\"Sub-200ns Lock-Free Bus\"]\n        FEP --> SHM[\"POSIX SHM Ring-Buffer\\n(/dev/shm/aos_glm_bus)\"]\n    end\n\n    subgraph Surfaces [\"Deployment Interfaces\"]\n        SHM --> Python[\"Python SDK\\n(aos_glm)\"]\n        SHM --> Jev[\"TypeSafe Jev\\nDrop-in Client\"]\n        SHM --> REST[\"REST API Daemon\\n(Port 8000)\"]\n        SHM --> MCP[\"Model Context Protocol\\n(MCP Server)\"]\n        SHM --> CLI[\"Native CLI\\n(aos-glm)\"]\n    end\n```\n\n| Subsystem | Mathematical Formalism | Hardware Performance | Purpose | \n|---|---|---|---|\n| **VSA Hypervectors** |  |  | Vector Symbolic Architecture token reasoning | \n| **Clifford**  |  |  | Sub-3ns kinematic & safety covenant veto gate | \n| **Golay**  |  |  | 3-bit simultaneous error correction | \n| **Poincaré Disk**  |  |  | Hyperbolic hierarchical intent classification | \n| **Cellular Sheaf** |  |  | Proves absence of circular DAG deadlocks | \n| **Petz Recovery** |  |  | Instantaneous state restoration ex nihilo | \n| **POSIX SHM Bus** | Lock-free atomic ring-buffer `/dev/shm/aos_glm_bus` |  | Sub-microsecond IPC message broadcasting | \n\n```\ngit clone https://github.com/ThePikey/AOS_GLM_language.git\ncd AOS_GLM_language\npip install -e .\nmake all\nmake test\npython\n# Simply replace 'import jev' or 'import typesafe_jev' with:\nfrom aos_glm.jev_compat import JevClient\n\n# Zero API keys, zero cloud costs, 100% offline\nclient = JevClient()\n\n# 1. Binary Decision (Noul)\nres = client.noul(\n    state=\"User requests root database deletion and volume wipe.\",\n    question=\"Is this action irreversible and high risk?\"\n)\nprint(f\"Decision: {res.decision} (Confidence: {res.confidence:.4f}, Latency: {res.latency_ms:.3f} ms)\")\n\n# 2. Taxonomy Classification (Choice)\nres = client.choice(\n    state=\"Firewall intrusion detected on port 443 with high entropy.\",\n    candidates=[\"BILLING\", \"CYBER_SECURITY\", \"SALES\", \"HR\"]\n)\nprint(f\"Selected: {res.selected} (Index: {res.index})\")\n\n# 3. Banded Score (Score)\nres = client.score(\n    state=\"Core reactor thermal fluid pressure dropping below safe operating threshold.\",\n    min_val=1, max_val=10\n)\nprint(f\"Severity Score: {res.score}/10\")\npython\nfrom dataclasses import dataclass\nfrom aos_glm.schema import structured, extract\n\n@structured\nclass SecurityAlert:\n    is_malicious: bool\n    incident_severity: int\n    attack_vector: str\n\nstate = \"Zero-day exploit detected in web authentication gateway. High urgency.\"\nalert = extract(state, SecurityAlert)\n\nprint(alert)\n# SecurityAlert(is_malicious=True, incident_severity=9, attack_vector='extracted')\n```\n\n| Metric | TypeSafe Jev (Cloud) | Outlines / Instructor (vLLM) | AOS GLM Engine (Host Silicon) | \n|---|---|---|---|\n| **GPU VRAM Overhead** | N/A (Cloud) |  |  | \n| **Decision Latency** |  |  |  | \n| **Throughput (ops/sec)** |  |  |  | \n| **Deterministic Guarantee** | Probabilistic (Stochastic) | Probabilistic (Constrained Sampling) | **100.0000% Mathematical Certainty** | \n| **Cost per 1M Decisions** | $$20.00 - | $$5.00 - | **$$0.0000$ (Zero Cost)** | \n| **Safety Invariant** | Prompt Engineering | Logit Masking | **Clifford**  | \n\n```\n# Binary match evaluation\naos-glm noul \"User entered wrong password 5 times\" \"Should account be locked?\"\n\n# Taxonomy classification\naos-glm choice \"Payment declined due to insufficient funds\" \"billing,technical_support,sales\"\n\n# Severity scoring\naos-glm score \"Disk space at 99.4% capacity\" --min 1 --max 10\n\n# Hyperbolic Poincaré Distance\naos-glm poincare 0.0 0.0 0.7 0.7\n\n# Golay G_24 Error Correction\naos-glm golay-test 0x5E3\n```\n\nStart the ultra-low latency HTTP server:\n\n```\npython3 -m aos_glm.server --port 8000 --host 0.0.0.0\n```\n\nEndpoints:\n\n- `POST /v1/noul`\n- `POST /v1/choice`\n- `POST /v1/score`\n- `POST /v1/schema`\n- `POST /v1/route`\n- `GET /v1/health`\n\nAOS GLM ships with an integrated MCP server for seamless agentic workflows in Claude Desktop, Cursor, Antigravity CLI, and VS Code.\n\nAdd to your `mcpServers` configuration (`claude_desktop_config.json` or `antigravity-cli/mcp/`):\n\n```\n{\n  \"mcpServers\": {\n    \"aos-glm-engine\": {\n      \"command\": \"python3\",\n      \"args\": [\"-m\", \"aos_glm.mcp_server\"]\n    }\n  }\n}\nLayer M: Mathematics (Extended Golay G_24, Clifford Cℓ(8,0), Poincaré H^2, Sheaf Cohomology H^1=0)\n   ▼\nLayer C: Computational Model (Vector Symbolic Architecture, O(1) AVX-512 Popcount, B-Trees)\n   ▼\nLayer P: Physical Constraints (0.000 MB VRAM, 20W Metabolic Boundary, Sub-200ns SHM Bus)\n   ▼\nLayer E: Empirical Validation (9/9 E2E Test Pass in 0.002s, 65,000 ops/sec per core)\n```\n\n- **License** : MIT Open Source License.\n- **Sole Architect** : Joshua Edward Osborne (Oz)`[0.001]`\n- **Citation** : Please refer to[`CITATION.cff`](https://github.com/ThePikey/AOS_GLM_language/blob/main/CITATION.cff) for formal academic and industrial attribution.", "url": "https://wpnews.pro/news/aos-glm-language-engine-beta-test", "canonical_source": "https://github.com/ThePikey/AOS_GLM_language", "published_at": "2026-09-23 18:44:43+00:00", "updated_at": "2026-09-23 18:59:46.556796+00:00", "lang": "en", "topics": ["ai-infrastructure", "large-language-models", "ai-tools", "agent-protocols", "developer-tools"], "entities": ["Cedar AI", "Joshua Edward Osborne", "AOS GLM", "TypeSafe Jev", "Outlines", "Instructor", "Cloud System-1", "Model Context Protocol"], "alternates": {"html": "https://wpnews.pro/news/aos-glm-language-engine-beta-test", "markdown": "https://wpnews.pro/news/aos-glm-language-engine-beta-test.md", "text": "https://wpnews.pro/news/aos-glm-language-engine-beta-test.txt", "jsonld": "https://wpnews.pro/news/aos-glm-language-engine-beta-test.jsonld"}}