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Dec 12, 2025: Google shared their remediation plan. They confirmed an internal pipeline to discover leaked keys, began restricting exposed keys from accessing the Gemini API, and committed to addressing the root cause before our disclosure date.
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In recent years, LLMs have shown significant improvements in their overall performance. When they first became mainstream a couple of years before, they were already impressive with their seemingly human-like conversation abilities, but their reasoning always lacked. They were able to describe any sorting algorithm in the style of your favorite author; on the other hand, they weren't able to consistently perform addition. However, they improved significantly, and it's more and more difficult to find examples where they fail to reason. This created the belief that with enough scaling, LLMs will be able to learn general reasoning.
4 A good discussion on luminance and how to calculate it can be found on this stack exchange question. ↑
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Finding side hustle inspiration at Whole Foods
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