Do not trust instant advice on which new AI model to use
Advice about a new is weak when the model has only been available for about two days. Different people do different work, have different skill levels, and start from different code quality, so the same model can feel useful to one person and poor to another.
Some models are better at certain tasks than others. Claims like “there is no reason to use this model” or “only use this model” ignore the user’s actual work and ability.
was not available to users, so even fast reviewers may have only had a short time with it. The practical answer is to test models yourself and find what fits your own work.
Key points
- Very early model reviews may be based on only about two days of use.
- Work type, skill level, and code quality can change which feels best.
- Broad claims that one model is useless or always best are not reliable.
- may not have been available to users before launch.
- The safest approach is to test several models on your own real tasks.