How Should We Evaluate Kumru and Turkish AI Models?

The discussions surrounding Kumru offer an opportunity to reflect on the criteria we should use to evaluate Turkish AI initiatives. Recognising a model’s current shortcomings is not the same as dismissing its potential for development from the outset. At X Mind Solutions, our approach is to ground criticism in practical usage needs and give early-stage projects room to develop. This should not mean lowering expectations, but carefully distinguishing current capabilities from expectations for the future.

The progression from the earliest GPT releases to GPT-3.5 provides a useful example of why assessing AI models on the basis of a single release can be limiting. However, this comparison does not mean that Kumru will follow the same path or achieve the same results. The key point is not to treat early attempts as finished products, nor to present expectations of progress as evidence of success that has yet to be demonstrated.

A sound evaluation begins by defining the task a model is expected to perform. Summarising a Turkish text, answering a question and following a specific instruction each create different expectations. It is therefore more meaningful to examine several examples of the same task rather than focusing on a single response that attracts attention. Accuracy, adherence to instructions and consistency should be considered together, and any observed shortcomings should be clearly described alongside the conditions in which they arise.

Supporting the emergence of Turkish alternatives does not require treating every model as an unconditional success. On the contrary, criticism based on clear criteria can provide more useful direction for development efforts. Having more alternatives can give users scope to compare different approaches and encourage competition. Whether this translates into tangible benefits should be assessed not simply on the basis of a model’s Turkish origin, but on its capabilities in real tasks and the conditions of use.

For businesses, the central question is less how a model is positioned in public debate than whether it can be used reliably in the intended process. At X Mind Solutions, we consider model selection alongside business needs in the context of AI agents, automation workflows and system integrations. Turkish initiatives such as Kumru should be viewed through the same lens: supporting development, making shortcomings visible and basing adoption decisions on verifiable evaluations.