🚀 Paragon v1.0.0 — Stable AI Core with Multi-Type Compute, Benchmarking & WASM Prep

🎉 First stable release of the Paragon AI framework.

Paragon v1.0.0 marks the graduation of the framework from experimental tooling to a hardened, production-ready runtime core. After continuous benchmarking, multi-type testing, and system-level integrations, the AI stack has proven stable across environments and architectures.

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🔍 Highlights

✅ Multi-Numeric Type Support

• Fully generic across int, int8–int64, uint8–uint64, float32, float64
• Accurate benchmarking of multiply-add throughput for each type
• Ensures compatibility for embedded, desktop, and GPU targets

🚀 WebGPU Acceleration

• 5×–6× speedups on supported hardware
• Native WGSL shaders for activations (ReLU, LeakyReLU, Softmax, etc.)
• Toggleable forward pass via WebGPUNative = true

🧠 AI Framework Stability

• ADHD scoring, replay logic, dynamic mutation confirmed stable under continuous run (Bampro)
• Stable state/serialization validated across long sessions
• Used live within simulation environments (e.g. Construct)

🔧 Benchmark Introspection

• New RunAllBenchmarks() utility with JSON output for telemetry/reporting
• Reflection-based introspection of core APIs for WASM gateway readiness
• Interleaved single- and multi-threaded benchmarks with type-specific measurements

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🌐 WASM-Readiness

This release preps the framework for browser-native inference and replay visualization.

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🔢 Version

const Version = "1.0.0"