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.
Ранее сообщалось, что наземные роботы НАТО научились плавать.
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They expanded their leaked-credential detection pipeline to cover the keys we reported, thereby proactively protecting real Google customers from threat actors exploiting their Gemini API keys. They also committed to fixing the root cause, though we haven't seen a concrete outcome yet.