TE
科技回声
首页24小时热榜最新最佳问答展示工作
GitHubTwitter
首页

科技回声

基于 Next.js 构建的科技新闻平台,提供全球科技新闻和讨论内容。

GitHubTwitter

首页

首页最新最佳问答展示工作

资源链接

HackerNews API原版 HackerNewsNext.js

© 2025 科技回声. 版权所有。

What A.I. Learned from the Internet

38 点作者 Don_Patrick将近 5 年前

4 条评论

kristerv将近 5 年前
best paragraph is the last one:<p>&gt; When will AI researchers learn? There is a saying in computer science: “Garbage in, garbage out”. The most remarkable thing about these stories is that the biggest companies, IBM, Microsoft, Amazon, all chose the worst corners of the internet as teaching material. Places that are widely known as the bridges of trolls. One can scarcely believe such naivety, and yet they keep doing it. Perhaps they are only “experimenting”, but that does not ring true for commercial products. More likely their goals are only feasible with current AI by prioritising quantity over quality. Or perhaps these stories are not entirely accurate. After all, I only learned them from the internet.
rwnspace将近 5 年前
A straightforward point that comes to mind regards reusing the output of GPT-n as part of the training input to GPT-n+1: Andrej Karpathy recently tweeted about it in terms of pollution, which has wonderful connotations: <a href="https:&#x2F;&#x2F;twitter.com&#x2F;karpathy&#x2F;status&#x2F;1284660899198820352" rel="nofollow">https:&#x2F;&#x2F;twitter.com&#x2F;karpathy&#x2F;status&#x2F;1284660899198820352</a>
评论 #23947333 未加载
grillvogel将近 5 年前
reminds me of this rather horrifying article i read recently: <a href="https:&#x2F;&#x2F;www.rand.org&#x2F;blog&#x2F;2020&#x2F;01&#x2F;artificial-intelligence-and-the-manufacturing-of-reality.html" rel="nofollow">https:&#x2F;&#x2F;www.rand.org&#x2F;blog&#x2F;2020&#x2F;01&#x2F;artificial-intelligence-an...</a>
评论 #23946821 未加载
visarga将近 5 年前
cherrypicking to the finest
评论 #23944100 未加载