Owain Evans’ idea of feeding a historical LLM non-anachronistic images is, I think, well worth doing. But it’s also worth expanding on further. Would it be helpful, when training a historical LLM, to simulate dream imagery based on premodern themes? What about audio of birdcalls, which were far more prominent in the audioscapes of premodern people? What about taking it on a walk through the woods?
Designating Anthropic as a supply chain risk would be an unprecedented action—one historically reserved for US adversaries, never before publicly applied to an American company. We are deeply saddened by these developments. As the first frontier AI company to deploy models in the US government’s classified networks, Anthropic has supported American warfighters since June 2024 and has every intention of continuing to do so.，详情可参考新收录的资料
，详情可参考新收录的资料
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In most test scenarios, large language models (LLMs) – the technology behind platforms such as ChatGPT – successfully matched anonymous online users with their actual identities on other platforms, based on the information they posted.，这一点在新收录的资料中也有详细论述
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