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  "text": "LLM memory is considered one of the hardest problems in AI.\n\nAll we have today are endless hacks and workarounds. But the root solution has always been right in front of us.\n\nNext-token prediction is already an effective compressor. We don’t need a radical new architecture. The missing piece is to continue training the model at test-time, using context as training data.\n\nOur full release of End-to-End Test-Time Training (TTT-E2E) with @NVIDIAAI, @AsteraInstitute, and @StanfordAILab is now available.\n\nBlog: https://t.co/woCpiIrq0T\nArxiv: https://t.co/3VkFlS3wx3\n\nThis has been over a year in the making with @arnuvtandon and an incredible team.",
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