tl;dr Google spent over a decade telling developers that Google API keys (like those used in Maps, Firebase, etc.) are not secrets. But that's no longer true: Gemini accepts the same keys to access your private data. We scanned millions of websites and found nearly 3,000 Google API keys, originally deployed for public services like Google Maps, that now also authenticate to Gemini even though they were never intended for it. With a valid key, an attacker can access uploaded files, cached data, and charge LLM-usage to your account. Even Google themselves had old public API keys, which they thought were non-sensitive, that we could use to access Google’s internal Gemini.
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.
，这一点在服务器推荐中也有详细论述
Мощный удар Израиля по Ирану попал на видео09:41，更多细节参见WPS官方版本下载
如今挂牌被卖，不论将来是不是真远走欧洲，对于其背后运营公司而言，也都是给这段拧巴的关系画上一个句号。
（四）购进农产品时，除取得增值税专用发票或者海关进口增值税专用缴款书外，按照农产品收购发票或者农产品销售发票计算的进项税额，国务院另有规定的除外；