AI Recovers Binary Logic Without Source Code

Elon Musk earlier wrote that source code is on the verge of becoming like assembly, and that the next step is generating efficient binaries directly with AI ("getting rid of 'source code' entirely").

AI is advancing rapidly on a related capability: recovering the logic of binaries when the source is unavailable. SRE-Bench measures whether AI agents can reverse-engineer realistic, protected binaries without source code. It uses 19 privately developed programs (average ~17k lines of code) across network protocols, firmware, games, file formats, and malware, combined with custom anti-analysis protections. This produces 262 contamination-free instances.

GPT-6 Astra scores 88% on a single attempt and 99.2% within four attempts. Earlier frontier models scored substantially lower on the same tasks.

This does not mean every large or heavily protected binary can be fully recovered today. Scale, novel obfuscation, and reliability over long analyses remain limiting factors. But the core capability has moved from theoretical to practical for a meaningful set of real-world binaries.

This is an important step in the direction Musk described. He has a track record of outlandish-sounding claims that later proved directionally correct. This one is starting to look the same way.

Read more about the SRE bench at: https://www.vals.ai/benchmarks/srebench