Language is a “quite useless” tool: A rejoinder to Fedorenko, Piantadosi, and Gibson’s “Language is primarily a tool for communication rather than thought” DOI Creative Commons

Jeffrey Watumull

Biolinguistics, Journal Year: 2024, Volume and Issue: 18

Published: Oct. 31, 2024

Contrary to the prevailing assumption that language is “primarily a tool for communication rather than thought”, I argue is, invoke Oscar Wilde, “quite useless”. Arguing from aesthetic philosophy and minimalist program linguistic theory, conject language, like art, not “for” anything—it simply , conforming utilitarian principles. Of course, can be powerful instrument of communication, but its function expressing thought; it creates thoughts, “primarily” communicating with oneself, engaging in Popperian critical rationalism, making thoughts (e.g., sentences, constructive proofs) match Platonic objects propositions, classical proofs).

Language: Английский

The Double-Edged Sword of Anthropomorphism in LLMs DOI Creative Commons
Madeline G. Reinecke, Fransisca Ting, Julian Savulescu

et al.

Published: Feb. 26, 2025

Humans may have evolved to be "hyperactive agency detectors". Upon hearing a rustle in pile of leaves, it would safer assume that an agent, like lion, hides beneath (even if there ultimately nothing there). Can this evolutionary cognitive mechanism—and related mechanisms anthropomorphism—explain some people's contemporary experience with using chatbots (e.g., ChatGPT, Gemini)? In paper, we sketch how such engender the seemingly irresistible anthropomorphism large language-based chatbots. We then explore implications within educational context. Specifically, argue tendency perceive "mind machine" is double-edged sword for progress: Though can facilitate motivation and learning, also lead students trust—and potentially over-trust—content generated by To sure, do seem recognize LLM-generated content may, at times, inaccurate. argue, however, rise towards will only serve further camouflage these inaccuracies. close considering research turn aiding becoming digitally literate—avoiding pitfalls caused perceiving humanlike mental states

Language: Английский

Citations

2
Headmen, shamans, and mothers: Natural and sexual selection for computational services DOI
Edward H. Hagen, Zachary H. Garfield, Aaron D. Lightner

et al.

Evolution and Human Behavior, Journal Year: 2025, Volume and Issue: 46(1), P. 106651 - 106651

Published: Jan. 1, 2025

Language: Английский

Citations

1
Can artificial intelligence be the future solution to the enormous challenges and suffering caused by Schizophrenia? DOI Creative Commons
Shijie Jiang, Qiyu Jia, Zhenlei Peng

et al.

Schizophrenia, Journal Year: 2025, Volume and Issue: 11(1)

Published: Feb. 28, 2025

This study evaluated the potential of artificial intelligence (AI) in diagnosis, treatment, and prognostic assessment schizophrenia (SZ) explored collaborative directions for AI applications future medical innovations. SZ is a severe mental disorder that causes significant suffering imposes challenges on patients. With rapid advancement machine learning deep technologies, has demonstrated notable advantages early diagnosis high-risk populations. By integrating multidimensional biomarkers linguistic behavior data patients, can provide further objective precise diagnostic criteria. Moreover, it aids formulating personalized treatment plans, enhancing therapeutic outcomes, offering new strategies patients with treatment-resistant SZ. Furthermore, excels developing individualized which enables identification disease progression, accurate prediction trajectory, timely adjustment strategies, thereby improving prognosis facilitating recovery. Despite immense management, its role as an auxiliary tool must be emphasized, clinical judgment compassionate care from healthcare professionals remaining crucial. Future research should focus optimizing human–machine interactions to achieve efficient application management. The in-depth integration technology into practice will advance field SZ, ultimately quality life outcomes

Language: Английский

Citations

1
À l’origine du vivant, la différence sans hiérarchie(s) DOI Creative Commons
Jean‐Christophe Pagès

médecine/sciences, Journal Year: 2025, Volume and Issue: 41(3), P. 282 - 285

Published: March 1, 2025

Citations

0
Building machines that learn and think with people DOI
Katherine M. Collins, Ilia Sucholutsky, Umang Bhatt

et al.

Nature Human Behaviour, Journal Year: 2024, Volume and Issue: 8(10), P. 1851 - 1863

Published: Oct. 22, 2024

Language: Английский

Citations

4
Multilingual Computational Models Reveal Shared Brain Responses to 21 Languages DOI Creative Commons
Andrea Gregor de Varda, Saima Malik-Moraleda, Greta Tuckute

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 2, 2025

Abstract At the heart of language neuroscience lies a fundamental question: How does human brain process rich variety languages? Recent developments in Natural Language Processing, particularly multilingual neural network models, offer promising avenue to answer this question by providing theory-agnostic way representing linguistic content across languages. Our study leverages these advances ask how brains native speakers 21 languages respond stimuli, and what extent representations are similar We combined existing (12 4 families; n=24 participants) newly collected fMRI data (9 n=27 evaluate series encoding models predicting activity based on from diverse (20 8 model classes). found evidence cross-lingual robustness alignment between artificial biological networks. Critically, we showed that can be transferred zero-shot languages, so trained predict set account for responses held-out language, even families. These results imply shared component processing different plausibly related meaning space.

Language: Английский

Citations

0
An Entropy Approach to Interdependent Human–Machine Teams DOI Creative Commons
William F. Lawless, Ira S. Moskowitz

Entropy, Journal Year: 2025, Volume and Issue: 27(2), P. 176 - 176

Published: Feb. 7, 2025

Overview of recent developments in the field [...].

Language: Английский

Citations

0
The Origin of Human Theory-of-Mind DOI Creative Commons
Teresa Bejarano

Humans, Journal Year: 2025, Volume and Issue: 5(1), P. 5 - 5

Published: Feb. 12, 2025

Is there a qualitative difference between apes’ and humans ‘ability to estimate others’ mental states’, a.k.a. ‘Theory-of-Mind’? After opting for the idea that expectations are empty profiles recognize particular content when it arrives, I apply same description ‘vicarious expectations’—very probably present in apes. Thus, (empty) vicarious one’s (full) contents distinguished without needing meta-representation. Then, propose: First, enough support Theory-of-Mind (including ‘spontaneous altruism’). Second, since require profile previously built subject activates them, this cannot activate any expectation of states intrinsically impossible him. Third, your think me as distal individual me, therefore, must contents. This ability (the original nucleus human Theory-of-Mind) is essential lifestyle. It involved unpleasant pleasant self-conscious emotions, which respectively contribute ‘social order’ cultural innovations. More basically, makes possible (prelinguistic or linguistic) communication, originally made understanding addressed therefore me.

Language: Английский

Citations

0
Abstractness impacts conversational dynamics DOI Creative Commons
Claudia Mazzuca, Caterina Villani,

Tommaso Lamarra

et al.

Cognition, Journal Year: 2025, Volume and Issue: 258, P. 106084 - 106084

Published: Feb. 14, 2025

Conversation topics may vary in abstractness. This might impact the effort required by speakers to reach a common ground and, ultimately, an interactive alignment. In fact, people typically feel less confident with abstract concepts and single-words rating studies suggest are more associated social interactions than concrete concepts-hence suggesting increasing levels of abstractness enhance inner mutual monitoring processes. However, experimental addressing conversational dynamics afforded still sparse. three preregistered experiments we ask whether sentences specific constructs dialogue, i.e., higher uncertainty, curiosity willingness continue conversation, questions related causal agency aspects. We do so asking participants evaluate plausibility linguistic exchanges referring concepts. Results support theories proposing that involve compared reaching alignment dialogue is effortful

Language: Английский

Citations

0
Linguistic coupling between neural systems for speech production and comprehension during real-time dyadic conversations DOI Creative Commons
Zaid Zada, Samuel A. Nastase, Sebastian Speer

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 16, 2025

The core use of human language is communicating complex ideas from one mind to another in everyday conversations. In conversations, comprehension and production processes are intertwined, as speakers soon become listeners, listeners speakers. Nonetheless, the neural systems underlying these faculties typically studied isolation using paradigms that cannot fully engage our capacity for interactive communication. Here, we used an fMRI hyperscanning paradigm measure activity simultaneously pairs subjects engaged real-time, We contextual word embeddings a large model quantify linguistic coupling between within across individual brains. found highly overlapping network regions involved both spanning much cortical network. Our findings reveal shared representations extend beyond into areas associated with social cognition. Together, results suggest specialized speech perception align on common set features encoded broad

Language: Английский

Citations

0