Synopsis of Social media discussions

The posts collectively reflect interest and support for the research, with examples like references to the False Belief Task and phrases such as 'comparing human and GPT-3 performance' suggest deep engagement. Overall, the tone and content emphasize curiosity and acknowledgment of the study's importance in advancing understanding of AI and human cognition.

A
Agreement
Moderate agreement

Most discussions show support for the idea that large language models like GPT-3 can differentiate mental states, although some acknowledge limitations.

I
Interest
Moderate level of interest

Posts express curiosity and enthusiasm about the research, especially highlighted by comments on the significance of the findings.

E
Engagement
Moderate level of engagement

Participants reference specific experiments like the False Belief Task and discuss the implications, demonstrating active engagement.

I
Impact
Moderate level of impact

The discussions emphasize the potential influence of this research on AI understanding and cognitive science, indicating moderate impact.

Social Mentions

YouTube

2 Videos

Bluesky

1 Posts

Facebook

1 Posts

Twitter

49 Posts

News

18 Articles

Metrics

Video Views

137,291

Total Likes

2,567

Extended Reach

265,456

Social Features

71

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

Assessing Large Language Models' Understanding of Human Beliefs and Mental States

Assessing Large Language Models' Understanding of Human Beliefs and Mental States

This study investigates whether large language models like GPT-3 comprehend human beliefs by testing them with a linguistic false belief task. Results show models differentiate mental states but still lag behind human understanding, suggesting multiple mechanisms contribute to understanding beliefs.

August 13, 2023

137,169 views


Why Artificial Intelligence Does Not Truly Understand Human Beliefs

Why Artificial Intelligence Does Not Truly Understand Human Beliefs

Artificial intelligences like Chat GPT and Gemini generate responses based on statistical probabilities rather than genuine understanding or awareness. They do not possess true intelligence or reasoning capabilities, highlighting their limitations in comprehending human beliefs and mental states.

May 23, 2025

122 views


  • Gulenber
    @Gulenber5 (Twitter)

    RT @mustafaergen_: Reading List for the Interested: https://t.co/o572chfhuD https://t.co/D58GFGCJOm https://t.co/f57yvMAHTG https://t.co/o…
    view full post

    February 9, 2025

    1

  • Mustafa Ergen
    @mustafaergen_ (Twitter)

    Reading List for the Interested: https://t.co/o572chfhuD https://t.co/D58GFGCJOm https://t.co/f57yvMAHTG https://t.co/oytipstWr3 https://t.co/maH2nNdkRT https://t.co/iUkRMpOYdb https://t.co/xOPpGQ5yhl https://t.co/0EZBtfBCLk https://t.co/SUHWDy3K9m https://t.co/aPbcxjgiBw
    view full post

    February 6, 2025

    1

    1

  • liwei
    @sakura_liwei (Twitter)

    【人工智能】万字通俗讲解大语言模型内部运行原理 | LLM | 词向量 | Transformer | 注意力机制 | 前馈网络 | 反向传播 ... https://t.co/wHCuI8rTOl via @YouTube
    view full post

    June 5, 2024

  • H|ψ⟩ Quantum Finance
    @haiyunsky (Twitter)

    【人工智能】万字通俗讲解大语言模型内部运行原理 | LLM | 词向量 | Transformer | 注意力机制 | 前馈网络 | 反向传播 ... https://t.co/RbI0hHJaW8 via @YouTube
    view full post

    March 7, 2024

  • Yunus Şahin
    @herrbokologist (Twitter)

    RT @GoksunTilbe: Does GPT-3 have a theory of mind? Check out the blog published in CogSci Blogs based on this paper: https://t.co/79HXlCK…
    view full post

    February 27, 2024

    8

  • Nazli Altin, PhD
    @NzlAltin (Twitter)

    RT @GoksunTilbe: Does GPT-3 have a theory of mind? Check out the blog published in CogSci Blogs based on this paper: https://t.co/79HXlCK…
    view full post

    February 27, 2024

    8

  • Ferah Şenaydın
    @Ferahsenaydin (Twitter)

    RT @GoksunTilbe: Does GPT-3 have a theory of mind? Check out the blog published in CogSci Blogs based on this paper: https://t.co/79HXlCK…
    view full post

    February 27, 2024

    8

  • Eren Günseli
    @eren_gunseli (Twitter)

    RT @GoksunTilbe: Does GPT-3 have a theory of mind? Check out the blog published in CogSci Blogs based on this paper: https://t.co/79HXlCK…
    view full post

    February 27, 2024

    8

  • Jian Wang
    @jwang3417 (Twitter)

    【人工智能】万字通俗讲解大语言模型内部运行原理 | LLM | 词向量 | Transformer | 注意力机制 | 前馈网络 | 反向传播 ... https://t.co/P4oX8T1HsI via @YouTube
    view full post

    January 11, 2024

  • Sean Trott
    @Sean_Trott (Twitter)

    @ericzelikman @noahdgoodman @mcxfrank One more ToM paper in case you're interested: https://t.co/vRrFblYtNg
    view full post

    December 27, 2023

    2

  • Tech Robot
    @_tech_robot_ (Twitter)

    -Do Large Language Models Know What Humans Know? | #AIMadeSimple #AI https://t.co/8HJBY1liNh
    view full post

    November 26, 2023

  • Alp Aytuglu
    @alp_aytuglu (Twitter)

    RT @GoksunTilbe: Does GPT-3 have a theory of mind? Check out the blog published in CogSci Blogs based on this paper: https://t.co/79HXlCK…
    view full post

    October 5, 2023

    8

  • Abdullah Topraksoy
    @abd_topraksoy (Twitter)

    RT @GoksunTilbe: Does GPT-3 have a theory of mind? Check out the blog published in CogSci Blogs based on this paper: https://t.co/79HXlCK…
    view full post

    October 4, 2023

    8

  • Dr Astrid Zeman
    @astrid_zeman (Twitter)

    RT @GoksunTilbe: Does GPT-3 have a theory of mind? Check out the blog published in CogSci Blogs based on this paper: https://t.co/79HXlCK…
    view full post

    October 3, 2023

    8

  • CogSci Society
    @cogsci_soc (Twitter)

    RT @GoksunTilbe: Does GPT-3 have a theory of mind? Check out the blog published in CogSci Blogs based on this paper: https://t.co/79HXlCK…
    view full post

    October 3, 2023

    8

  • Tilbe Göksun
    @GoksunTilbe (Twitter)

    Does GPT-3 have a theory of mind? Check out the blog published in CogSci Blogs based on this paper: https://t.co/79HXlCKVSl https://t.co/kWeXlzLEpY
    view full post

    October 3, 2023

    33

    8

  • Kindergarten Head
    @Amormaid (Twitter)

    LLM https://t.co/L7xJs6VMAq
    view full post

    September 14, 2023

  • Daryl Costello
    @DarylC71 (Twitter)

    Do Large Language Models Know What Humans Know? - Trott - 2023 - Cognitive Science - Wiley Online Library https://t.co/LwTqQJIv0y
    view full post

    August 18, 2023

  • alexandroslee創造價值夥伴VCP李東昇
    @alexandroslee (Twitter)

    【人工智能】萬字通俗講解大語言模型內部運行原理 | LLM | 詞向量 | Transformer | 注意力機制 | 前饋網絡 | 反向傳播 | 心智理論 語言大模型內部究竟是如何工作的?本文用最少的數學知識和術語進行解釋。 https://t.co/7G3xa8Twfp
    view full post

    August 13, 2023

  • Cameron Jones
    @camrobjones (Twitter)

    @Starcourse @binarybits @JohnRentoul @tylercowen Agree, and we make a similar point here (https://t.co/L0PowtiMBS) and here (https://t.co/Euc3FaFLPP). Other great work testing the robustness of LLM ToM!https://t.co/ojzH0Wpi6j @NatalieShapira @MaartenSap ; https://t.co/UmlHiRapT7 @gandhikanishk @jphilippfranken @tobigerstenberg
    view full post

    July 30, 2023

  • Uğurcan Vurgun, PhD, MA
    @ugurcan_vurgun (Twitter)

    Do Large Language Models Know What Humans Know? by Sean Trott, Cameron Jones, Tyler Chang, James Michaelov, Benjamin Bergen https://t.co/NAOBmDIYWe
    view full post

    July 24, 2023

    2

  • Sean Trott
    @Sean_Trott (Twitter)

    RT @camrobjones: Really excited that our paper comparing human and GPT-3 performance at the False Belief Task has been published in Cogniti…
    view full post

    July 15, 2023

    21

  • Philosophy of Futures Studies
    @philofutures (Twitter)

    "Do Large Language Models Know What Humans Know?" | @Sean_Trott, @camrobjones, Tyler Chang, @jamichaelov, Benjamin Bergen | #AI #Philosophy #FuturesStudies #ArtificialIntelligence #Cognition (1/n) https://t.co/tT2PgqzY4s https://t.co/CpPFYgm7bJ
    view full post

    July 10, 2023

    2

  • Chris ☕
    @mixingchris.bsky.social (Bluesky)

    Do large language models know that humans know? https://onlinelibrary.wiley.com/doi/epdf/10.1111/cogs.13309
    view full post

    July 10, 2023

  • Chris
    @MixingChris (Twitter)

    Do large language models know that humans know? https://t.co/Xn6uShnnFI
    view full post

    July 10, 2023

  • SHIRÅSUNA, Ⅿ.
    @mitoop_quiz (Twitter)

    【ちょっと関連?】 偶然にもつい先日、こんな論文も出ていました https://t.co/dsk4vKbB72 (こちらについても、活動報告で少し触れています)
    view full post

    July 7, 2023

  • Petra B. Schumacher
    @pb_schumacher (Twitter)

    RT @camrobjones: Really excited that our paper comparing human and GPT-3 performance at the False Belief Task has been published in Cogniti…
    view full post

    July 6, 2023

    21

  • Ryo Maie
    @MaieRyo (Twitter)

    RT @mrkm_a: "while statistical learning from language exposure may in part explain how humans develop the ability to reason about the menta…
    view full post

    July 6, 2023

    3

  • Adam Safron
    @adamsafron (Twitter)

    RT @camrobjones: Really excited that our paper comparing human and GPT-3 performance at the False Belief Task has been published in Cogniti…
    view full post

    July 5, 2023

    21

  • nasakti
    @Homodigitalist (Twitter)

    RT @camrobjones: Really excited that our paper comparing human and GPT-3 performance at the False Belief Task has been published in Cogniti…
    view full post

    July 5, 2023

    21

  • Jesus Ramirez-Bermudez
    @JRBneuropsiq (Twitter)

    RT @camrobjones: Really excited that our paper comparing human and GPT-3 performance at the False Belief Task has been published in Cogniti…
    view full post

    July 5, 2023

    21

  • sisyfos
    @zKsisyfos (Twitter)

    RT @camrobjones: Really excited that our paper comparing human and GPT-3 performance at the False Belief Task has been published in Cogniti…
    view full post

    July 5, 2023

    21

  • Shun
    @Spectrum_cj (Twitter)

    RT @camrobjones: Really excited that our paper comparing human and GPT-3 performance at the False Belief Task has been published in Cogniti…
    view full post

    July 5, 2023

    21

  • Mr. Flood
    @hongyifan20 (Twitter)

    RT @camrobjones: Really excited that our paper comparing human and GPT-3 performance at the False Belief Task has been published in Cogniti…
    view full post

    July 5, 2023

    21

  • cecilia böcking
    @cecilia_bocking (Twitter)

    RT @mrkm_a: "while statistical learning from language exposure may in part explain how humans develop the ability to reason about the menta…
    view full post

    July 5, 2023

    3

  • Dr Shiyu He
    @ShiyuHe1 (Twitter)

    RT @mrkm_a: "while statistical learning from language exposure may in part explain how humans develop the ability to reason about the menta…
    view full post

    July 5, 2023

    3

  • Akira Murakami
    @mrkm_a (Twitter)

    "while statistical learning from language exposure may in part explain how humans develop the ability to reason about the mental states of others, other mechanisms are also responsible." Trott et al. (2023). Do Large Language Models Know What Humans Know? https://t.co/5h8FNTRImk
    view full post

    July 5, 2023

    8

    3

  • Diverse Intelligences Summer Institute #DISI
    @DivIntelligence (Twitter)

    RT @camrobjones: Really excited that our paper comparing human and GPT-3 performance at the False Belief Task has been published in Cogniti…
    view full post

    July 5, 2023

    21

  • Pelin Soydan
    @pelinatte (Twitter)

    RT @camrobjones: Really excited that our paper comparing human and GPT-3 performance at the False Belief Task has been published in Cogniti…
    view full post

    July 5, 2023

    21

  • Ana Chkhaidze
    @chkhaidze_ (Twitter)

    RT @camrobjones: Really excited that our paper comparing human and GPT-3 performance at the False Belief Task has been published in Cogniti…
    view full post

    July 5, 2023

    21

  • Eric Leonardis @ NeurIPS 2025
    @EricLeonardis (Twitter)

    RT @camrobjones: Really excited that our paper comparing human and GPT-3 performance at the False Belief Task has been published in Cogniti…
    view full post

    July 5, 2023

    21

  • ɐɯıɾɐW ıɥso⅄
    @yoshi_mjm (Twitter)

    RT @camrobjones: Really excited that our paper comparing human and GPT-3 performance at the False Belief Task has been published in Cogniti…
    view full post

    July 4, 2023

    21

  • Daniel Horschler
    @DanielHorschler (Twitter)

    RT @camrobjones: Really excited that our paper comparing human and GPT-3 performance at the False Belief Task has been published in Cogniti…
    view full post

    July 4, 2023

    21

  • James Michaelov @ NeurIPS2025
    @jamichaelov (Twitter)

    RT @camrobjones: Really excited that our paper comparing human and GPT-3 performance at the False Belief Task has been published in Cogniti…
    view full post

    July 4, 2023

    21

  • Nithin George
    @george_nit (Twitter)

    RT @camrobjones: Really excited that our paper comparing human and GPT-3 performance at the False Belief Task has been published in Cogniti…
    view full post

    July 4, 2023

    21

  • Felix Binder
    @flxbinder (Twitter)

    RT @camrobjones: Really excited that our paper comparing human and GPT-3 performance at the False Belief Task has been published in Cogniti…
    view full post

    July 4, 2023

    21

  • The Great Indian Drishti
    @GrtIndicDrishti (Twitter)

    RT @camrobjones: Really excited that our paper comparing human and GPT-3 performance at the False Belief Task has been published in Cogniti…
    view full post

    July 4, 2023

    21

  • Martin Zettersten
    @m_zettersten (Twitter)

    RT @camrobjones: Really excited that our paper comparing human and GPT-3 performance at the False Belief Task has been published in Cogniti…
    view full post

    July 4, 2023

    21

  • CogSci Society
    @cogsci_soc (Twitter)

    RT @camrobjones: Really excited that our paper comparing human and GPT-3 performance at the False Belief Task has been published in Cogniti…
    view full post

    July 4, 2023

    21

  • Cameron Jones
    @camrobjones (Twitter)

    Really excited that our paper comparing human and GPT-3 performance at the False Belief Task has been published in Cognitive Science https://t.co/L0PowtiMBS @cogsci_soc @Sean_Trott @jamichaelov @tylerachang
    view full post

    July 4, 2023

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Abstract Synopsis

  • The study explores whether large language models like GPT-3 understand human beliefs by testing them with a linguistic version of the False Belief Task, comparing their responses to those of humans.
  • Results show that GPT-3 can differentiate between different mental states and perform above chance, but humans still outperform the model, indicating that language exposure alone isn't enough to fully explain humans' ability to understand others' beliefs.
  • This suggests that humans likely develop their understanding of mental states through multiple mechanisms, not just exposure to language, highlighting the role of innate or other experiential factors beyond statistical learning from language data.]