r/grok • u/Confident-Cut-3526 • 11h ago
AI TEXT A severe drop in quality of non-English text generation
Has anyone else experienced a sudden and drastic degradation in Grok's non-English output recently?
Grok has always been visibly poorer at handling non-English languages compared to other models, but lately, it has become nearly incomprehensible at times. It feels like some aggressive quantization or a heavy English-centric alignment tax just kicked in.
Here is what I’m seeing consistently:
- Missing words: Every other sentence seems to drop crucial words, causing the syntax to fall apart.
- Stunted phrasing: It defaults to very short, robotic, and unnatural sentences. Tends to severely overuse verbless sentences.
- Blatant English structural calques: Everything is visibly and poorly translated directly from English in real-time.
- Over-generation & under-translation: It forces extra words to match the English word count (e.g., struggling with phrasal verbs by generating unneeded reflexive pronouns) or drops information entirely when a direct 1:1 translation doesn't exist.
- Literal translation of idioms: Completely ignores the target language's idiomatic usage.
Is it just me, or is the model currently being forced to "think" in English and hastily translate the output to save compute? I'd love to know if others are seeing this severe downgrade across different languages.