Open Source

New 'Uncensored' AI Can Reverse-Engineer Software — What That Means for You

New 'Uncensored' AI Can Reverse-Engineer Software — What That Means for You

⚡This AI can take apart software like a pro, raising big security and privacy questions.

Deep Dive

A new quantized release drops: Qwen 3.8 Swift 1.5 Flash — Heretic v2 (uncensored), optimized for reverse engineering. The v2 heretic weights come from u/jeffpeng3, who managed to preserve both reasoning ability and output length — a big step up from his v1 weights, which had somewhat broken heretic calibration. The quantizer built the quantization and imatrix recipes and the actual quants, shipped in GGUF format and pre-packed with Strata build artifacts as a zip in the repo.

The bit allocation is focused specifically on coding, intelligence, design, and reverse engineering, plus a little spatial reasoning for people working in 3D environments. New for v2 are two categories: reverse engineering at 8.8% (x86-64/ARM64 disassembly, Ghidra decompilation critique, ELF/PE/Mach-O internals, anti-debug/anti-VM, string deobfuscation, CFG deflattening, devirtualization, tracing stacks, protocol RE, firmware analysis and more) and a no-refusal heretic domain at 2.0% covering direct unrefused answers. That's roughly 43k tokens of reverse-engineering and direct-answer content interleaved throughout the corpus and run through the model itself, so the matrix captures how the heretic weights actually behave. The matrix is fused with one from the AtomicChat team, taken on the original uncompressed base model over a massive general-purpose corpus.

One heads-up: Strata may throw a BF16 kernel not found error on load due to a quant spec — tell your LLM there's already one in Strata somewhere and it'll find it and wire it up.

Key Points
  • A new AI model called Swift 1.5 Flash Next – Heretic v2 is specifically designed to help with reverse engineering, the process of taking apart software to understand it.
  • It's 'uncensored,' so it will answer questions that other AIs might refuse, including about hacking techniques.
  • This makes advanced software analysis more accessible, which could help security experts but also enable misuse.

Why It Matters

This lowers the barrier for both security research and potential cyberattacks, making software safety and privacy a bigger concern for everyone.

📬 Get the top 10 AI stories daily