HN 读者请注意:人工智能实验室由缺乏世界制造业经验的人领导

1 分•作者: dzonga•2 个月前
我意识到,一些顶尖的美国“人工智能”实验室由缺乏制造专业知识的人领导,他们不了解现实世界中事物的制造过程。我并非质疑他们作为世界级研究人员的经验,但研究实验室并非真实世界,真实世界有着复杂的动态。 他们所有的“模型”都是在寻找问题。但这并不意味着这些模型对某些任务没有用处。 在发布模型之前,他们从未停下来问——我们正在朝着什么目标努力,或者我们在解决什么问题。因此出现了无意义的基准测试。 这让我想起一句名言:“如果你不了解一个过程,你就什么都不懂。” 即使他们现在提出的“人工智能”能够编写软件,也表明他们认为软件就是代码行或功能。他们忘记了软件是来自一或多个个体就世界观进行沟通/妥协的复杂/简单过程的结果。 而 Yann LeCun 可能是“人工智能”领域唯一一个真正了解现实世界的人。
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I have realized - some of the premier american &#x27;a.i&#x27; labs are headed by people without manufacturing expertise - of | or how things are made in the real world. I&#x27;m not doubting their experience as world class researchers - but the research lab is not the real world - with complex dynamics.<p>all their &#x27;models&#x27; are solutions seeking problems. but it doesn&#x27;t mean the models are not useful for some tasks.<p>before releasing models - they have never stopped to ask - what are we working towards or what are we solving. hence the nonsense benchmarks.<p>it reminds me of a certain quote &quot;if you don&#x27;t understand a process, you don&#x27;t know shit&quot;.<p>even what they propose as &#x27;a.i&#x27; now writes software - shows they think software == lines of code or features. forgetting software is the result out of complicated&#x2F;simple process of 1 or more individuals talking&#x2F;compromising on a world view.<p>&amp; probably the only person in &#x27;a.i&#x27; who has grip on the world in Yann LeCun.