随着美国投资者涌入英国退休计划市场，贝莱德、高盛或投资英国凤凰城养老金业务。（财联社）原文链接下一篇特朗普媒体与科技集团2025年财务资产达25亿美元当地时间2月27日，特朗普媒体与科技集团发布2025年财务业绩报告。报告显示，2025年该集团财务资产为25亿美元，营业收入为370万美元。（第一财经）
Returning back to the Anthropic compiler attempt: one of the steps that the agent failed was the one that was more strongly related to the idea of memorization of what is in the pretraining set: the assembler. With extensive documentation, I can’t see any way Claude Code (and, even more, GPT5.3-codex, which is in my experience, for complex stuff, more capable) could fail at producing a working assembler, since it is quite a mechanical process. This is, I think, in contradiction with the idea that LLMs are memorizing the whole training set and uncompress what they have seen. LLMs can memorize certain over-represented documents and code, but while they can extract such verbatim parts of the code if prompted to do so, they don’t have a copy of everything they saw during the training set, nor they spontaneously emit copies of already seen code, in their normal operation. We mostly ask LLMs to create work that requires assembling different knowledge they possess, and the result is normally something that uses known techniques and patterns, but that is new code, not constituting a copy of some pre-existing code.
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In the end, Scream 7 may not be the best of the bunch, but it's damn close.