人工智能2023 · 分享于 Hacker News

Emergent World Representations in Neural Networks

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Ycrescit_eundo ·

Something weird is happening with LLMs and chess

696 赞同474 评论
Ydmazin ·

OK, I can partly explain the LLM chess weirdness now

524 赞同460 评论
Ye0m ·

GPT-4

499 赞同201 评论
Ybenocodes ·

Chain-of-thought can hurt performance on tasks where thinking makes humans worse

371 赞同250 评论
Yrfw300 ·

Legal models hallucinate in 1 out of 6 (or more) benchmarking queries

215 赞同255 评论
Yandreyk ·

Mamba Explained

201 赞同44 评论
Yilreb ·

Where the Goblins Came From

84 赞同22 评论
Ygardenfelder ·

The LLama Effect: Leak Sparked a Series of Open Source Alternatives to ChatGPT

58 赞同7 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
Ymarviel ·

GPT-4 Designed a Programming Language

26 赞同9 评论
Ymarshblocker ·

Just Calm Down About GPT-4 Already

18 赞同5 评论
Ywashedup ·

What Is ChatGPT Doing and Why Does It Work?

16 赞同8 评论
Ycocacola1 ·

What Kind of Mind Does ChatGPT Have?

13 赞同10 评论
YAlwaysNewb23 ·

Ask HN: How do you explain LLMs to those *still* unfamiliar?

10 赞同20 评论
Ymakaimc ·

US Senator Uses ChatGPT for Opening Remarks at a Hearing on AI

8 赞同0 评论
Ygeorgehill ·

Do large language models need sensory grounding for meaning and understanding?

6 赞同0 评论
Yiraldir ·

A case for the capacity to reason of GPT-4

5 赞同0 评论
Ydanboarder ·

Do Large Language Models learn world models or just surface statistics?

3 赞同0 评论
Ymjburgess ·

Emergent World Representations in Neural Networks

2 赞同1 评论
Ysonabinu ·

To Build Truly Intelligent Machines, Teach Them Cause and Effect

2 赞同0 评论
Yduck ·

AI-enhanced development makes me more ambitious with my projects

2 赞同0 评论
Ynmstoker ·

We need a much more sophisticated debate about AI

2 赞同0 评论
Yexcerionsforte ·

ArxivGPT: Chrome extension that summarizes arxived research papers using ChatGPT

1 赞同0 评论
Yog_kalu ·

Bing AI can play chess

1 赞同0 评论

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