首先当然是隐私和安全问题。Google 的饼画得很大，未来调用、操作手机 App 的将不仅限于 Gemini，一些第三方 AI 应用能更深入用户的数据核心，如果有伪装的恶意应用利用了这些接口，也会造成更大的损失。
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I wanted to test this claim with SAT problems. Why SAT? Because solving SAT problems require applying very few rules consistently. The principle stays the same even if you have millions of variables or just a couple. So if you know how to reason properly any SAT instances is solvable given enough time. Also, it's easy to generate completely random SAT problems that make it less likely for LLM to solve the problem based on pure pattern recognition. Therefore, I think it is a good problem type to test whether LLMs can generalize basic rules beyond their training data.。heLLoword翻译官方下载对此有专业解读
text += dec.decode(chunk, { stream: true });
To work around this, I started pre-allocating…everything: