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Qwen (@Alibaba_Qwen) on X

▲ 299 points 3 comments by mfiguiere 2w ago HN discussion ↗

Pangram verdict · v3.3

We believe that this text is a mix of AI and human-written content.

43 %

AI likelihood · overall

Mixed
65% human-written 35% AI-generated
SEGMENTS · HUMAN 0 of 3
SEGMENTS · AI 0 of 3
WORD COUNT 104
PEAK AI % 62% · §2
Analyzed
Aug 14
backend: pangram/v3.3
Segments scanned
3 windows
avg 35 words each
Distribution
65 / 35%
human / AI fraction
Verdict
Mixed
Pangram v3.3

Article text · 104 words · 3 segments analyzed

Human AI-generated
§1 Mixed · 30%

We promised open weights for Qwen3.8. Now, time to meet them! 🎉 ⚡ Qwen3.8-27B: - A native multimodal dense model.

§2 Mixed · 62%

With just 27B parameters, it outperforms Qwen3.7-Plus overall and shines in real-world coding & office workflows. - 262K native context, easily extendable to 1M tokens via YaRN. - Built for builders. Highly efficient, high-quality, and licensed under Apache 2.0.

§3 Mixed · 34%

🚀 The open weights for Qwen3.8-2.4T-A95B (Max-level) have also been released recently. Whether you're shipping lightweight applications with Qwen3.8-27B locally or building agents with Qwen3.8-2.4T-A95B, they're yours now! Download, deploy, and build something we haven't imagined yet. 👀👇 - Hugging Face: huggingface.co/collections/Qw… - ModelScope: modelscope.cn/collections/Qw…