MIND (Machine Intelligence Native Design) is a systems programming language for AI development.
Key Features
tensor<f32[3]>Native Tensor Operations
First-class support for tensors.
@differentiableDifferentiable Programming
Built-in automatic differentiation.
x86ARM
Hardware Aware
x86 and ARM CPU backends ship today with cross-substrate bit-identity (integer + Q16.16); GPU/accelerator execution is on the commercial roadmap.
Code Example
fn main() {
// Dense tensor literal: Phase 11 Tier 1 (v0.10.0)
let t: tensor<f32[3]> = [1.0, 2.0, 3.0];
// Elementwise ops work in-function
let y = t .* 2.0;
print(y);
}Feature Status
- Shipped
Self-hosting
Pure-MIND front-end emits native-ELF byte-identically (v0.10.0); the native-ELF self-host fixed point is closed
- Partial
Tensors
Dense literals and elementwise ops Phase 11 Tier 1; inter-fn tensor args and intrinsics on roadmap
- Shipped, scoped
Determinism
i64 and Q16.16 byte-identical cross-substrate; scalar f64/f32 run-to-run bit-identical on the strict path (verified on x86_64 (AVX2) + ARM64 (NEON), 2026-07-05); vector-reduction float reproducible within-substrate
- Partial
Autodiff
Compile-time gradients for scalars and core ops; full tensor AD is Phase 12
- Primitives shipped
Crypto & protocol primitives
Pure-MIND AES-128-GCM, SHA-256, HKDF, X25519, X.509 parse+verify, SHA-3/SHAKE, RSA-PSS, ECDSA-P256, ML-KEM-768, TLS 1.3 (key schedule/record/handshake), HPACK, and HTTP/2 framing, RFC/NIST-KAT-verified as a primitive library; a socket-driven TLS client/server is roadmap