psa

The tweet provides a public service announcement advising users of the GLM-5.3 Flash AI model to use the 'high' reasoning_effort setting for better efficiency, as it achieves similar accuracy with significantly fewer tokens compared to the 'max' setting.

A PSA warning users to avoid Codex 'locked use' capabilities due to unstable Mac features causing macOS keychain lockouts, as acknowledged by Apple developer forums.

A user reports that updating CUDA from 13.2 to 13.3 fixes a looping problem with DeepSeek V4 Flash 0731, making the model usable again for long coding tasks.

Laguna S-2.1 model has been updated with a fix for yarn_attn_factor (corrected to 1.0) and an improved chat template that fixes broken thinking, preserves thinking, and enables tool calling. Users are advised to use the updated GGUF from the official repo.

Gemma 4 12B has a known issue with tool calling and coding, but using a custom chat template in llama.cpp resolves the bugs. Users should compile llama.cpp from source and apply the fix before evaluating the model's coding ability.

The DeepSWE benchmark costs are per task, not per total run. Running models like Mimo V2.5 Pro can cost ~$225 for a full run, while Mimo V2.5 non-pro costs ~$7.15. Users should be aware of this before running expensive models.