这一制度在试行过程中，也曾遭遇质疑。包括会不会出现“人情交易”“钱学交易”“权学交易”“近亲繁殖”等，影响招生的公平公正，堵死普通家庭孩子的读博之路，也影响博士生源质量、培养质量等等。但从具体的实施情况看，博生招生“申请—审核”制得到普遍认可。一方面，扩大了博导的招生自主权，有利于博导招收到适合的学生；另一方面，博士的整体生源质量并没有因试行这一制度而降低，因为与这一制度相配套，推进了博士生导师资助制（由博导承担博士生的培养经费以及生活补助），严把博士学位答辩关。博导如果招来一个缺乏学术潜能的学生，不但要承担资助费用，还要考虑其在求学期间能否发表规定的论文，能否顺利通过答辩毕业，这迫使博导认真考察申请学生的学术潜能与综合素养。与实施“申请—审核”制相对应的是，不少申请读博的学生感慨，申请太难了。
The converse is also worth asking — whether simulating artificial environments (for instance a 3d representation of a Youtube video) might have unintended negative consequences. Fei-Fei Li’s startup World Labs, which aims to make the leading “world model” — an alternative to language models based on tokenizing physical space rather than words — recently raised a substantial amount of money. As consumer-facing robots become more plausible, the business case for such a model is obvious. But what physical spaces are “world” models actually being trained on? The contemporary physical environment, sound-proofed, plastic-coated, and artificially-colored, is radically different from the environment that Homo sapiens evolved to excel in.
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研发人员结构分化，从“量”到“质”
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