Since the start of 2025, a surge of new AI models has overwhelmed users, yet the popularity remains dominated by ChatGPT. The confusion stems from indistinct model names, a benchmark crisis, and the multitude of available models. Despite some models offering immense capabilities, many are underutilized. The article categorizes model types, highlighting the shift towards distillation for efficiency and the distinctiveness of models tailored for specific applications. Ultimately, as AI improves, clarity in naming and purpose is crucial for user adoption and understanding.
The overwhelming influx of new AI models has created a naming chaos, making it difficult for users to differentiate between them and ultimately leading to a hierarchy of confusion.
The best performing AI models now follow multi-step reasoning chains to enhance effectiveness, but utilizing them at scale remains costly, driving the push for more compact versions.
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