500B Tokens Later: Letting AI Agents Decompile a First-Person Shooter
Researchers have trained AI agents on a dataset exceeding 500 billion tokens and tasked them with reverse‑engineering a classic first‑person shooter. The agents use language models to analyze game binaries, generate decompiled code, and suggest modifications, demonstrating that massive token exposure can enable machines to understand and manipulate complex software. Results show promise for automated game analysis and broader software comprehension.