В «Ахмате» рассказали об отборе военных для участия в операции «Поток»20:46
Next up, let’s load the model onto our GPUs. It’s time to understand what we’re working with and make hardware decisions. Kimi-K2-Thinking is a state-of-the-art open weight model. It’s a 1 trillion parameter mixture-of-experts model with multi-headed latent attention, and the (non-shared) expert weights are quantized to 4 bits. This means it comes out to 594 GB with 570 GB of that for the quantized experts and 24 GB for everything else.
，详情可参考爱思助手
Что думаешь? Оцени!
“The object recognition test is like cognitive recognition tests in humans, where you are shown a series of images, then have to remember which ones you’ve seen before after some time passes,” Thaiss said. “And the maze test is like people trying to recall where they parked their car at a large shopping center. What these tasks have in common, in mice and in people, is that they are very strongly dependent on activity in the hippocampus, because that is where memories are encoded.”
Knowledge base poisoning is not a theoretical threat. PoisonedRAG demonstrated it at research scale. I demonstrated the concept mechanism against a local deployment in an afternoon. The attack is simple, persistent, and invisible to defenders who aren’t looking at the ingestion layer.