思想与社会2023 · 分享于 Hacker News

GPT-3 outperforms humans on Raven's matrices, shows strong analogical reasoning

探索《GPT-3 outperforms humans on Raven's matrices, shows strong analogical reasoning》的原文与 Hacker News 社区讨论,查看来源并加入阅读清单。

阅读原文

看看社区如何讨论这个想法。

来自 Hacker News 的原始讨论。不同的视角、疑问,以及值得继续思考的线索。

最多展示 100 条相关讨论。论文可能出现在评论中,并非原帖投稿内容。

在讨论中发现的引用

按 HN 条目顺序展示最近的 50 条引用来源。

YFergusArgyll ·

Top AIs still fail IQ tests

49 赞同118 评论
Ydavidbarker ·

Governance of Superintelligence

46 赞同39 评论
Ytim_sw ·

Eight Things to Know About Large Language Models [pdf]

32 赞同7 评论
Ymarshblocker ·

Just Calm Down About GPT-4 Already

18 赞同5 评论
Yhhs ·

LLMs are not greater than the sum of their parts: Stanford researchers

4 赞同0 评论
Yog_kalu ·

GPT-3 outperforms humans on Raven's matrices, shows strong analogical reasoning

3 赞同0 评论
Yconvexstrictly ·

Sutskever: OpenAI board doing its mission to build AGI that benefits all

3 赞同0 评论
YClemDev2000 ·

Large Language Models: Scaling Laws and Emergent Properties

2 赞同1 评论
Ympweiher ·

Comparing Humans, GPT-4, and GPT-4V on Abstraction and Reasoning Tasks

2 赞同0 评论
Ymfiguiere ·

Emergent Analogical Reasoning in Large Language Models

1 赞同0 评论
YPaulHoule ·

Recursively Summarizing Enables Long-Term Dialogue Memory in LLMs

1 赞同0 评论
Yvagabund ·

Weak-to-Strong Generalization

1 赞同0 评论

一个想法,引向另一个。

发现更多论文