Google’s new AI model, Gemini 2.0 Flash Thinking Experimental, focuses on reasoning and problem-solving in fields like math, coding, and physics. Unlike typical AI, it fact-checks itself and pauses to explain its reasoning before giving answers. While this improves accuracy, it makes the model slower, sometimes taking seconds to minutes to respond. However, like many reasoning models, it struggles with simple tasks, such as counting letters in words. Google isn’t alone in this space—companies like DeepSeek and Alibaba are also working on reasoning models. These models aim to refine AI by improving logical thinking, but they require significant computational power, making them expensive to run. While promising, it’s unclear if reasoning models will continue to improve or become the go-to solution for advanced AI tasks.
Grey Matterz Thoughts
Reasoning models like Gemini 2.0 show great promise but face challenges in cost and speed. Exciting times for AI innovation!
Source: https://shorturl.at/oxf1E
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