EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·Aug 23·5 min read
I gave Qwen 3.8 27B a reverse-engineering job and it finished in 30 minutes
TL;DR
Qwen 3.8 27B successfully reverse-engineered a commercial app's license check in just 30 minutes, demonstrating impressive local model capabilities. It not only identified weaknesses but also created a working bypass without executing the app.
✦ Why It Matters
Evaluate your local AI models for their potential in reverse-engineering tasks today.
Key Takeaways
- Test local models on complex reverse-engineering tasks.
- Utilize Qwen's capabilities for software security assessments.
- Be aware of the ethical implications of local AI use.
- Monitor advancements in local model performance for future applications.
How It Works
Qwen 3.8 27B employs static analysis to dissect software binaries, mapping security functions and identifying hidden keys without executing the application. It utilizes advanced decoding techniques to enhance its token generation rate, allowing it to analyze complex code efficiently.