Limitations of Large Language Models

#Artificial Intelligence

The posts discuss the limitations of Large Language Models (LLMs) and their inability to truly understand physical principles or reality. Fei-Fei Li and others argue that LLMs are advanced pattern matchers that lack a deep understanding of the world.

Fei-Fei Li

Fei-Fei Li

@@drfeifei

1d

ha! here is something fun and totally random I've been pondering: as Oliver Sacks has beautifully written - "what is the space between two snowflakes?" Language can describe all the things, stuff, and people in intricate details. But what about the 'space', the 'nothingness' in

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10:21 PM·Sep 11, 2025·1.9K Views
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TT-Z

TT-Z

@@Travoissier

2d

Throwback video to me predicting the digitization and aethereal thought of reality global consciousness to experience a blurred actualization of dreams, expanded consciousness, divergent technologies, influence on health, and contemporary gaming

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1:09 AM·Sep 11, 2025·1.6K Views
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MemeInformation |AI First+ Crypto

MemeInformation |AI First+ Crypto

@@MemeInformation

2d

我越来越认同李飞飞的观点。 LLM这条路线注定走不到AGI的终点。 因为语言模型的本质,是基于已有文本模式去预测下一个词,它擅长总结、续写、润色,也能模拟出看似合理的推理过程。但它始终只面对文本。

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12:27 PM·Sep 10, 2025·1.6K Views
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Rohan Paul

Rohan Paul

@@rohanpaul_ai

2d

Fei-Fei Li says language models are extremely limited. This @GoogleDeepMind paper makes almost the same point, just in the world of video. The models are just very advanced pattern matchers. They can recreate what looks like reality because they’ve seen so much data, but they

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6:43 PM·Sep 10, 2025·1.5K Views
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Gary Marcus

Gary Marcus

@@GaryMarcus

2d

the number of people rediscovering what i have been saying for years grows every day.

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4:44 AM·Sep 11, 2025·849.2846032143957 Views
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