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Google has introduced a new experimental AI model called Gemini 2.0 Flash Thinking Experimental, designed for multimodal understanding, reasoning, and coding. This model is part of Google’s AI Studio and aims to tackle complex problems in fields like programming and math.
While the model is still in early stages and shows promise, it has room for improvement. It is trained to reason through problems, often fact-checking itself to avoid common AI pitfalls, but this process can be slower compared to traditional models. Early tests revealed some limitations, such as inaccuracies in counting letters.
The development of reasoning models like Gemini 2.0 follows a wave of similar releases from other AI labs, driven by the need for improved approaches in generative AI. However, there are concerns about the high computational costs and whether reasoning models can sustain their performance improvements over time.
