Model Releases
Cybersecurity is local AI model's killer use case
This weekend I posted about the gap closing between frontier models and open source models. Well, now I'm coming with receipts. I've been running local + cloud models against real public github codeba
This weekend I posted about the gap closing between frontier models and open source models. Well, now I'm coming with receipts. I've been running local + cloud models against real public github codebases. This is all provable and verifiable: https://github.com/CYPHES-ATP/Node (audit.db) Over two weeks: 1,665 model runs 1,067 security findings 27 repos Results: Model Paths checked Real claude-opus-5 8 0/8 minimax-m3 12 10/12 deepseek-v4-flash 6 6/6 glm-5.1 5 5/5 gpt-oss-20b 5 5/5 My takeaway: When it comes to cybersecurity, nothing will beat open source models. Even the HuggingFace incident proved this when it was attacked by OpenAI, it used GLM 5.2 to defend itself. Happy to share the queries / methodology if anyone wants to reproduce it. submitted by /u/Fluffy-Ad-889 [link] [comments]
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- Qwen 35B-A3B MoE vs 27B dense in local coding tests: ~4× faster, much smaller quality gap than I expected
Source: r/LocalLLaMA | 2026-09-07