A neural compiler that replaces human-readable syntax with direct bytecode generation. AI that speaks in machine code, executing at native performance across any platform.
Current AI systems generate human-readable code that must be parsed, compiled, and interpreted. UAF bypasses this entire layer by generating executable WebAssembly bytecode directly from natural language intent.
An LLM fine-tuned on logic-to-bytecode execution paths. The model learns to translate intent directly into memory operations and register states, bypassing Python, C++, or any human language entirely.
Output is WebAssembly bytecode—a portable, type-safe, mathematical intermediate representation. It's not quite machine code, but it's stripped of all human concerns: no variable names, no syntax rules, just pure logic.
A designated runtime that translates universal hex to platform-specific machine code (ARM, x86, RISC-V) while enforcing strict sandboxes. Security through isolation, not human code review.