Recent advances in natural language processing have given rise to a new kind of AI architecture: the language agent. By repeatedly calling an LLM to perform a variety of cognitive tasks, language agents are able to function autonomously to pursue goals specified in natural language and stored in a human-readable format. Because of their architecture, language agents exhibit behavior that is predictable according to the laws of folk psychology: they function as though they have desires (...) and beliefs, and then make and update plans to pursue their desires given their beliefs. We argue that the rise of language agents significantly reduces the probability of an existential catastrophe due to loss of control over an AGI. This is because the probability of such an existential catastrophe is proportional to the difficulty of aligning AGI systems, and language agents significantly reduce that difficulty. In particular, language agents help to resolve three important issues related to aligning AIs: reward misspecification, goal misgeneralization, and uninterpretability. (shrink)

The aim of natural language ontology is to uncover the ontological categories and structures that are implicit in the use of natural language, that is, that a speaker accepts when using a language. This article aims to clarify what exactly the subject matter of natural language ontology is, what sorts of linguistic data it should take into account, how natural language ontology relates to other branches of metaphysics, in what ways natural language ontology is (...) important, and what may be distinctive of the ontological categories and structures reflected in natural language. (shrink)

This paper examines some limitations of large language models (LLMs) through the framework of Peircean semiotics. We argue that basic LLMs exist within a “hall of mirrors,” reflecting only the linguistic surface of training data without indexical grounding in a shared external world, and manipulating symbols without participation in socially-mediated epistemology. We then argue that newer developments, including extended context windows, persistent memory, and mediated interactions with reality, are moving towards making newer Artificial Intelligence (AI) systems into genuine Peircean (...) interpretants, and conclude that LLMs may be approaching this goal, and we identify no fundamental architectural barriers that would prevent this. This lens reframes a central challenge for AI alignment: without grounding in the semiotic process, a model’s linguistic encoding of goals may diverge from real-world values. By synthesizing Peirce’s pragmatic view of signs, contemporary discussions of AI alignment, and recent work on relational realism, we illustrate a fundamental epistemological and practical challenge to AI safety and point to part of a solution. (shrink)

The twenty-first century will witness an unprecedented decline in the diversity of the world’s languages. While most philosophers will likely agree that this decline is lamentable, the question of what exactly is lost with a language has not been systematically explored in the philosophical literature. In this paper, I address this lacuna by arguing that language loss constitutes a problematic form of illocutionary silencing. When a language disappears, past and present speakers lose the ability to realize a (...) range of speech acts that can only be realized in that language. With that ability, speakers lose something in which they have a fundamental interest: their standing as fully empowered members of a linguistic community. (shrink)

A comprehensive introduction to the Language of Though Hypothesis (LOTH) accessible to general audiences. LOTH is an empirical thesis about thought and thinking. For their explication, it postulates a physically realized system of representations that have a combinatorial syntax (and semantics) such that operations on representations are causally sensitive only to the syntactic properties of representations. According to LOTH, thought is, roughly, the tokening of a representation that has a syntactic (constituent) structure with an appropriate semantics. Thinking thus consists (...) in syntactic operations defined over representations. Most of the arguments for LOTH derive their strength from their ability to explain certain empirical phenomena like productivity, systematicity of thought and thinking. (shrink)

Many philosophers think that being in an intentional state is a matter of being related to a sentence in a mental language-a 'Language of Thought' (see especially Fodor 1975, 1987 Appendix; Field 1978). According to this view-which I shall call 'the LT hypothesis'-when anyone has a belief or a desire or a hope with a certain content, they have a sentence of this language, with that content, 'written' in their heads. The claim is meant quite literally: the (...) mental representations that make up the items of this language have semantic and syntactic properties. This is why, according to this view, cognitive psychology does, and should, treat that part of the mind which deals with intentional states as a semantic and a syntactic 'engine'. (shrink)

The language of thought hypothesis is a thesis about the structure of mental representations. It is an example of the computational–representational theory of mind, according to which much of cognition consists in formal computations over mental representations. What distinguishes the language of thought hypothesis from other such theories is the idea that mental representations share core features with formal languages. The language of thought hypothesis states that thinking is the transformation of mental representations in a language (...) of thought, in which most of what we call “thinking” is in fact inferences performed over sentences in the language. The language of thought is not a natural language, such as Spanish or Haitian Creole. It is a formal language, comparable to the machine language of a computer or formal languages of logic. The language of thought is often claimed to be innate, universal, and pivotal in learning, and it is implicated in processes such as natural language acquisition. However, it is also compatible with learning and reasoning in nonlinguistic creatures as well as in mental processes seemingly unconnected to language such as perception and motor control. (shrink)

We discuss potential biorisks from large language models (LLMs). AI assistants based on LLMs such as ChatGPT have been shown to significantly reduce barriers to entry for actors wishing to synthesize dangerous, potentially novel pathogens and chemical weapons. The harms from deploying such bioagents could be further magnified by AI-assisted misinformation. We endorse several policy responses to these dangers, including prerelease evaluations of biomedical AIs by subject-matter experts, enhanced surveillance and lab screening procedures, restrictions on AI training data, and (...) access controls on biomedical AI. We conclude with a suggestion about future research directions in bioethics. (shrink)

The essential role of language in rational cognition is analysed. The approach is functional: only the results of the connection between language, reality, and thinking are considered. Scientific language is analysed as an extension and improvement of everyday language. The analysis gives a uniform view of language and rational cognition. The consequences for the nature of ontology, truth, logic, thinking, scientific theories, and mathematics are derived.

The potential for Large Language Models (LLMs) to attain technological singularity—the point at which artificial intelligence (AI) surpasses human intellect and autonomously improves itself—is a critical concern in AI research. This paper explores the feasibility of current LLMs achieving singularity by examining the philosophical and practical requirements for such a development. We begin with a historical overview of AI and intelligence amplification, tracing the evolution of LLMs from their origins to state-of-the-art models. We then proposes a theoretical framework to (...) assess whether existing LLM technologies could satisfy the conditions for singularity, with a focus on Recursive Self-Improvement (RSI) and autonomous code generation. We integrate key component technologies, such as Reinforcement Learning from Human Feedback (RLHF) and Direct Preference Optimization (DPO), into our analysis, illustrating how these could enable LLMs to independently enhance their reasoning and problem-solving capabilities. By mapping out a potential singularity model lifecycle and examining the dynamics of exponential growth models, we elucidate the conditions under which LLMs might self-replicate and rapidly escalate their intelligence. We conclude with a discussion of the ethical and safety implications of such developments, underscoring the need for responsible and controlled advancement in AI research to mitigate existential risks. Our work aims to contribute to the ongoing dialogue on the future of AI and the critical importance of proactive measures to ensure its beneficial development. (shrink)

The present study assessed the language teachers' pedagogical beliefs and orientations in integrating technology in the online classroom and its effect on students' motivation and engagement. It utilized a cross-sectional correlational research survey. The study respondents were the randomly sampled 205 language teachers (μ= 437, n= 205) and 317 language students (μ= 1800, n= 317) of select higher educational institutions in the Philippines. The study results revealed that respondents hold positive pedagogical beliefs and orientations using technology-based teaching (...) in their language classroom. Test of difference showed that female teachers manifested a firmer belief in student-centered online language teaching than their male counterparts. However, the utilization and attitude towards technology in the language classroom is favorably associated with the male teachers. As to students' level of language learning motivation and engagement, it was found out that male and female students have high level of language learning engagement. Further, the test of relationship showed that the higher the teachers' belief in utilizing student-centered teaching to integrate technology in the language classroom, the higher the students are motivated and engaged in learning. In like manner, it was also revealed that teacher-centered belief is negatively correlated to student’s motivation and engagement in online language learning. In this regard, the pedagogical assumptions that hold EFL teachers positively to integrate technology in the language classroom. This study generally offers implications for enhancing language teacher's digital literacy to promote motivating, fruitful, and engaging language lessons for 21ts century learning. (shrink)

Are LLMs cultural technologies like photocopiers or printing presses, which transmit information but cannot create new content? A challenge for this idea, which we call bibliotechnism, is that LLMs generate novel text. We begin with a defense of bibliotechnism, showing how even novel text may inherit its meaning from original human-generated text. We then argue that bibliotechnism faces an independent challenge from examples in which LLMs generate novel reference, using new names to refer to new entities. Such examples could be (...) explained if LLMs were not cultural technologies but had beliefs, desires, and intentions. According to interpretationism in the philosophy of mind, a system has such attitudes if and only if its behavior is well explained by the hypothesis that it does. Interpretationists may hold that LLMs have attitudes, and thus have a simple solution to the novel reference problem. We emphasize, however, that interpretationism is compatible with very simple creatures having attitudes and differs sharply from views that presuppose these attitudes require onsciousness, sentience, or intelligence (topics about which we make no claims). (shrink)

Current work in language models (LMs) helps us speed up or even skip thinking by accelerating and automating cognitive work. But can LMs help us with critical thinking -- thinking in deeper, more reflective ways which challenge assumptions, clarify ideas, and engineer new concepts? We treat philosophy as a case study in critical thinking, and interview 21 professional philosophers about how they engage in critical thinking and on their experiences with LMs. We find that philosophers do not find LMs (...) to be useful because they lack a sense of selfhood (memory, beliefs, consistency) and initiative (curiosity, proactivity). We propose the selfhood-initiative model for critical thinking tools to characterize this gap. Using the model, we formulate three roles LMs could play as critical thinking tools: the Interlocutor, the Monitor, and the Respondent. We hope that our work inspires LM researchers to further develop LMs as critical thinking tools and philosophers and other 'critical thinkers' to imagine intellectually substantive uses of LMs. (shrink)

This chapter develops a contextualist account of normative language, focusing on broadly normative readings of modal verbs. The account draws on a more general framework for implementing a contextualist semantics and pragmatics, Discourse Contextualism. The aim of Discourse Contextualism is to derive the discourse properties of normative language from a contextualist interpretation of an independently motivated formal semantics, along with principles of interpretation and conversation. In using normative language, interlocutors can exploit their grammatical and world knowledge, and (...) general pragmatic reasoning skills, to manage an evolving system of norms. Discourse Contextualism provides a perspicuous framework for further philosophical theorizing about the nature of normativity, normative language, and normative judgment. Delineating these issues can help refine our understanding of the space of overall theories and motivate more fruitful ways the dialectics may proceed. Discourse Contextualism provides a linguistic basis for a more comprehensive theory of normativity and normative discourse and practice. (shrink)

I show that there are good arguments and evidence to boot that support the language as an instrument of thought hypothesis. The underlying mechanisms of language, comprising of expressions structured hierarchically and recursively, provide a perspective (in the form of a conceptual structure) on the world, for it is only via language that certain perspectives are avail- able to us and to our thought processes. These mechanisms provide us with a uniquely human way of thinking and talking (...) about the world that is different to the sort of thinking we share with other animals. If the primary function of language were communication then one would expect that the underlying mechanisms of language will be structured in a way that favours successful communication. I show that not only is this not the case, but that the underlying mechanisms of language are in fact structured in a way to maximise computational efficiency, even if it means causing communicative problems. Moreover, I discuss evidence from comparative, neuropatho- logical, developmental, and neuroscientific evidence that supports the claim that language is an instrument of thought. (shrink)

Some language encourages essentialist thinking. While philosophers have largely focused on generics and essentialism, I argue that nouns as a category are poised to refer to kinds and to promote representational essentializing. Our psychological propensity to essentialize when nouns are used reveals a limitation for anti-essentialist ameliorative projects. Even ameliorated nouns can continue to underpin essentialist thinking. I conclude by arguing that representational essentialism does not doom anti-essentialist ameliorative projects. Rather it reveals that would-be ameliorators ought to attend to (...) the propensities for our representational devices to essentialize and to the complex relationship between essentialism and prejudice. (shrink)

This paper gives a characterization of the ontology implicit in natural language and the entities it involves, situates natural language ontology within metaphysics, and responds to Chomskys' dismissal of externalist semantics.

Gender studies has generated numerous questions around “neutral” forms, such as the concept of “Self”. The aim of this analysis is to highlight how “neutral” forms are central to the reiteration of the binary model and the dominance of “man2”. Historically, man is the archetype, placing his supremacy as part of the natural order of things. Inserted into this model, many thinkers have considered the male as the transcendental gender, so, elevating the masculine as universal, a-sexed and decorporealised. In this (...) way, man has convinced himself that he’s not conditioned by his masculinity and can speak for all humanity, becoming the logosthrough which he declines the rest. Man, therefore, has made himself “neutral” – both in the conceptual sense and in the grammatical structure (particularly of binary languages such as Italian) – by taking control of language. Through it, he orders and constitutes the world, developing dichotomies and signifying anatomical bodies. In this research, it is intended to work on language and the relationship between “neutral” and power, emphasizing how that relationship is central to the reproduction of the patriarchal model. Through a critical philosophical reflection, which sees a logical-linguistic and historical-processual methodological structure, the discourse of the I-neutral will be crossed, pointing out how that “neutral” is in truth male. The concluding goal will be to, through “fluid” visions, build the basis for a language that is truly neutral and ready to embrace multiplicity, without relations of domination; a language really inclusive and not a reiterator of the patriarchal model. (shrink)

Philosophy’s place, at the intersection of the scientific and humanities disciplines, makes it an interesting test case for the role of English and other languages and cultures in our contemporary knowledge economy. The humanities’ attention to the richness of the world’s languages and cultures is in tension with the science’s essentially cosmopolitan project. This tension is perhaps especially evident in ‘analytic’ or ‘Anglo-American’ philosophy. Despite complementarity in earlier stages of the discipline, the humanities and scientific tendencies are now clashing with (...) undesirable results. This is in an important part due to analytic philosophy’s underexamined focus on a single vehicular language. One symptom of this malaise is that the voices of non-native-speaking philosophers are significantly less heard than those of native speakers. Especially problematic is, I argue, the current emphasis given to aesthetic considerations, and in particular linguistic form or style, as a sign of scientific rigour in the analysis of philosophical problems. I discuss this emphasis critically, arguing that it is not justifiable, in part because it deprives contemporary analytic philosophy of a wider variety of philosophical perspectives arising from different languages and cultures. I conclude by briefly presenting a recent attempt to make contemporary philosophy more linguistically inclusive. (shrink)

At first blush, phenomenology seems to be concerned preeminently with questions of knowledge, truth, and perception, and yet closer inspection reveals that the analyses of these phenomena remain bound up with language and that consequently phenomenology is, inextricably, a philosophy of language. Drawing on the insights of a variety of phenomenological authors, including Husserl, Heidegger, Merleau-Ponty, Gadamer, and Ricoeur, this collection of essays by leading scholars articulates the distinctively phenomenological contribution to language by examining two sets of (...) questions. The first set of questions concerns the relatedness of language to experience. Studies exhibit the first-person character of the philosophy of language by focusing on lived experience, the issue of reference, and disclosive speech. The second set of questions concerns the relatedness of language to intersubjective experience. Studies exhibit the second-person character of the philosophy of language by focusing on language acquisition, culture, and conversation. This book will be of interest to scholars of phenomenology and philosophy of language. (shrink)

"Language Speaks for Itself" explores the idea that language is not merely a human tool but an autonomous, living force. Drawing on thinkers from Jewish mysticism to Nietzsche, Heidegger, Benjamin, Derrida, Burroughs, and others, the essay argues that language precedes, shapes, and even controls human thought and existence. It is at once creative, parasitic, viral, and rhetorical—an organism that speaks itself into being and speaks us into being human.

This paper explores how language emerged not from an enlarged brain that then produced tools, but through the co-evolution of tools, gestures, and cortical development. Drawing on André Leroi-Gourhan's groundbreaking palaeoanthropological work showing that tool use and language share common origins in rhythmic gestural sequences, we trace how human communication has continuously transformed through technical mediation. Through Augustine of Hippo's puzzlement at witnessing silent reading in 397 CE, the Irish scribal innovation of word separation in the 7th-8th centuries, (...) and contemporary digital transformations, we demonstrate that our relationship with language continuously co-evolves with technical systems. The paper integrates perspectives from multiple disciplines: Bernard Stiegler's philosophy of technology and his concept of "tertiary retention" (technical memory), Gilbert Simondon's theory of transindividuation (how humans and technics mutually constitute each other), and Ludwig Wittgenstein's language games (showing how different technical mediations enable different forms of life). Through detailed historical analysis of reading practices, we reveal how each technological transformation from flint-knapping to alphabetic writing to digital media doesn't simply record language but fundamentally reconstitutes what language is and how humans engage with it. Understanding language as technogenesis reveals that communication has always been a hybrid human-technical phenomenon, continuously transforming through the interplay of biological and technological evolution. (shrink)

3rd ed, 2021. A circumscription of the classical theory of computation building up from the Chomsky hierarchy. With the usual topics in formal language and automata theory.

How to think a unique and determinative turn in analytic philosophy of mind? To answer this question this article first presents an attempt to render clear that analytic phenomenology, by contrast with conceptions of phenomenology of the XXth century, beneficially dispenses with several methodological and conceptual assumptions that were assumed to be compulsory, as phenomenological reduction, a notion of synthesis, and a philosophical notion of the a priori. It then presents some eventual difficulties to the achievement of a phenomenological turn (...) within analytic philosophy, which are, the neglect of historicity, abstractionism, the acknowledgement of the place of language in our lives, and solipsism. It finally presents several demands that concern the felicity of contemporary analytic phenomenologies, namely, anti-abstractionism, fallibilism, attention to polyadic relations, and the integration of ecological and decolonial concerns of our cultures. (shrink)

The way Whitehead speaks of God in his "philosophy of organism," and the evaluation thereof, is the subject of this article. The background of this issue is the position—broadly shared in theology, and here represented by Aquinas—that one should not speak "carelessly" about God. Does Whitehead violate this rule, or does his language for God express God's otherness and relatedness to the world in a new, intriguing way? In order to answer this question, an introduction into Whitehead's philosophy is (...) given, and especially into his category of existence, the "actual entity." For Whitehead, God is an actual entity, and so is the most trivial puff of existence. His perception of the similarity and greater dissimilarity between God and the worldly actual entities (and clusters thereof) is analyzed. In the main and final section of this article, these insights are used as tools to decrypt Whitehead's God-language. Here, I compare the status of Whitehead's and Aquinas's statements about God, discuss Whitehead's ideas concerning the analogical character of concrete language, and argue that in Whitehead's philosophy too there is no discourse about God without a shift or breakdown of the "ordinary" meaning of language. (shrink)

Artificial intelligence chatbots driven by large language models (LLMs) have the potential to increase public science literacy and support scientific research, as they can quickly summarize complex scientific information in accessible terms. However, when summarizing scientific texts, LLMs may omit details that limit the scope of research conclusions, leading to generalizations of results broader than warranted by the original study. We tested 10 prominent LLMs, including ChatGPT-4o, ChatGPT-4.5, DeepSeek, LLaMA 3.3 70B, and Claude 3.7 Sonnet, comparing 4900 LLM-generated summaries (...) to their original scientific texts. Even when explicitly prompted for accuracy, most LLMs produced broader generalizations of scientific results than those in the original texts, with DeepSeek, ChatGPT-4o, and LLaMA 3.3 70B overgeneralizing in 26–73% of cases. In a direct comparison of LLM-generated and human-authored science summaries, LLM summaries were nearly five times more likely to contain broad generalizations (OR = 4.85, 95% CI [3.06, 7.70], p < 0.001). Notably, newer models tended to perform worse in generalization accuracy than earlier ones. Our results indicate a strong bias in many widely used LLMs towards overgeneralizing scientific conclusions, posing a significant risk of large-scale misinterpretations of research findings. We highlight potential mitigation strategies, including lowering LLM temperature settings and benchmarking LLMs for generalization accuracy. (shrink)

This paper examines the account of ordinary language semantics developed by Franz Brentano and his pupil Anton Marty. Long before the interest in ordinary language in the analytic tradition, Brentanian philosophers were exploring our everyday use of words, as opposed to the scientific use of language. Brentano and Marty were especially interested in the semantics of (common) names in ordinary language. They claimed that these names are vague, and that this is due to the structure of (...) the concepts that constitute their meaning: concepts expressed by such names are themselves vague, based on typicality, and have more or less similar items within their extension. After presenting the views of Brentano and Marty, this paper compares them to later accounts of meaning and concepts, notably Wittgenstein’s theory of family resemblances and the prototype theory of concepts, and emphasizes the originality of the Brentanian position. (shrink)

This book analyzes the uses of emotive language and redefinitions from pragmatic, dialectical, epistemic and rhetorical perspectives, investigating the relationship between emotions, persuasion and meaning, and focusing on the implicit dimension of the use of a word and its dialectical effects. It offers a method for evaluating the persuasive and manipulative uses of emotive language in ordinary and political discourse. Through the analysis of political speeches and legal arguments, the book offers a systematic study of emotive language (...) in argumentation, rhetoric, communication, political science and public speaking. (shrink)

Based on the discussion on the monolingualism of the other undertaken by Derrida and the notions of decolonization, coloniality, decoloniality, zone of non-being and the abyssal line found in Fanon, Quijano, Mignolo and Sousa Santos, this work brings in its textual body the concept of device linguistic-racial, present here as a means to reflect on the relationship between the teaching of Brazilian Portuguese and ethnic-racial relations, and as a means to think about the decolonization of the language in a (...) country like Brazil, whose European colonialism was able to ruin black and indigenous bodies by imposing on them, using indefensible violence, “an existential deviation” (Fanon, 2008, p.30). For this reason, the idea of universal ethics and the notion of love evoked by Freire, patron of Brazilian education, are revisited, bearing in mind that there cannot be social justice if there is no epistemological justice, as Boaventura de Sousa Santos thinks. (shrink)

Natural Language Processing (NLP) is a crucial area within artificial intelligence (AI) that focuses on the interaction between computers and human language. By enabling machines to process and understand human language, NLP bridges the gap between computers and human communication. The aim of this paper is to explore key concepts and methodologies in NLP, including text analysis, language modeling, and machine learning techniques. We also discuss challenges faced in NLP such as ambiguity, contextual understanding, and the (...) evolution of language. This paper highlights recent advancements, applications in real-world scenarios, and suggests directions for future research. (shrink)

This paper investigates the modernization of the Myanmar language in the digital age, with a focus on the tension between linguistic structure, technological adaptation, and cultural preservation. Drawing on literature analysis, cross-cultural comparison, and informal observations with Myanmar speakers, it examines challenges such as incomplete Unicode support, vocabulary innovation for new technologies, and the risk of cultural homogenization under globalization. The study situates these issues within Harari’s theory of the “cognitive revolution” and Fishman’s framework of language maintenance, arguing (...) that narrative imagination and cultural adaptability are central to the survival of small languages. Comparative cases from Japan, Korea, and Finland highlight different strategies of language modernization. The paper concludes by proposing a “Buddhist Middle Path” framework for balancing digital innovation with cultural continuity. (shrink)

It is widely agreed that language understanding has a distinctive phenomenology, as illustrated by phenomenal contrast cases. Yet it remains unclear how to account for the perceptual phenomenology of language experience. I advance a rhythmic account, which explains this phenomenology in terms of changes in rhythm of sensory capacities in both reading and speech perception. After presenting conceptual and empirical foundations for the account, I argue that it should be abductively preferred over competing views, especially the semantic perceptual (...) view, which holds that we literally perceive linguistic meaning. (shrink)

Natural Language Processing (NLP) is a rapidly growing field at the intersection of artificial intelligence and linguistics, aiming to enable machines to understand, interpret, and generate human language. This paper explores various aspects of NLP and its applications, from basic language processing to advanced machine learning models. The focus is on the evolution of NLP techniques, challenges, and current trends, with a particular emphasis on deep learning methods that have revolutionized the field. The paper also highlights significant (...) NLP applications, including sentiment analysis, machine translation, and conversational AI systems. (shrink)

The language of thought hypothesis (LoTH) claims that thoughts are underpinned by language-like vehicles. A central motivation is that there is a relevant similarity between language and thought explained by LoTH. But how language-like is the language of thought? I argue that this question has no obvious answer—many candidate answers render LoTH trivial or false. Thus LoTH faces a similarity problem: the challenge of fleshing out the similarity between natural language and the language (...) of thought. There are two promising solutions to this problem: conservatism and liberalism. Conservatism is the received view. It says the language of thought is similar to natural language only insofar as it features propositional contents. I challenge the received view by defending liberalism—the view that the language of thought can feature both propositional and non-propositional contents. Liberalism should be preferred on empirical and theoretical grounds. I conclude by showing liberalism has broader consequences for other philosophical issues, such as the nature of concepts, Frege’s Puzzle, and the possibility of non-propositional intentionality. (shrink)

Wittgenstein’s Investigations proposed an egalitarian view about language games, emphasizing their plurality (“language has no downtown”). Uses of words depend on the game one is playing, and may change when playing another. Furthermore, there is no privileged game dictating the rules for the others: games are as many as purposes. This view is pluralist and egalitarian, but it says little about the connection between meaning and use, and about how a set of rules is responsible for them in (...) practice. Brandom’s Making It Explicit attempted a straightforward answer to these questions, by developing Wittgensteinian insights: the primacy of social practice over meanings; the idea that meaning is use; the idea of rule–following to understand participation in social practices. Nonetheless, Brandom defended a non–Wittgensteinian conception of discursive practice: language has a “downtown”, the game of “giving and asking for reasons”. This is the idea of a normative structure of language, consisting of advancing claims and drawing inferences. By means of assertions, speakers undertake “commitments” that can be challenged/defended in terms of reasons (those successfully justified can gain “entitlement”). This game is not one among many: it is indispensable to the very idea of discursive practice. In this paper, my aim will be that of exploring the main motivations and implications of both perspectives. (shrink)

Philosophy, when understood as a rigorous investigation of reality in its totality, finds in language not only an instrument of expression, but its primary fundamental object. Since Frege and Wittgenstein, it has become evident that “thinking” (Denken) and “saying” (Das Sagen) are intrinsically linked: thought is language endowed with meaning (TLP, 4.). In this horizon, everything that cannot be thought of cannot be said either, and vice versa. This structural link between language and the world reveals that (...) the limits of what we can signify also delimit the contours of our possible world. But the world, as a totality of facts, is not reduced to what we can say about it. The following reflection proposes a rigorous clarification of the notion of structure as a fundamental metaphysical category, showing that the mistake of taking discourse as a measure of the real stems from the forgetfulness of language in its most adequate theoretical configuration. (shrink)

Abstract The purpose of this paper is twofold: (i) we will argue that formal semantics might have faltered due to its failure in distinguishing between two fundamentally very different types of concepts, namely ontological concepts, that should be types in a strongly-typed ontology, and logical concepts, that are predicates corresponding to properties of, and relations between, objects of various ontological types; and (ii) we show that accounting for these differences amounts to a new formal semantics; one that integrates lexical and (...) compositional semantics in one coherent framework and one where formal semantics is embedded with a strongly typed ontology; an ontology that reflects our commonsense knowledge of the world and the way we talk about it in ordinary language. We will show how in such a framework a number of challenges in the semantics of natural language are adequately and systematically treated. (shrink)

In recent years, the financial industry has undergone a transformative shift fueled by artificial intelligence and data-driven personalization. At the heart of this evolution lies Natural Language Understanding (NLU), a subfield of Natural Language Processing (NLP), which enables machines to comprehend and respond to human language with contextual awareness. Personalized financial services—such as investment advice, spending insights, budgeting support, and credit recommendations—require a deep understanding of user intent, transactional behavior, and conversational cues. This paper presents a comprehensive (...) study of the integration of state-of-the-art NLU models into financial service ecosystems, focusing on their ability to enhance user experience through contextual, accurate, and secure interactions. (shrink)

Apart from what (little) OpenAI may be concealing from us, we all know (roughly) how ChatGPT works (its huge text database, its statistics, its vector representations, and their huge number of parameters, its next-word training, and so on). But none of us can say (hand on heart) that we are not surprised by what ChatGPT has proved to be able to do with these resources. This has even driven some of us to conclude that ChatGPT actually understands. It is not (...) true that it understands. But it is also not true that we understand how it can do what it can do. I will suggest some hunches about benign biases: convergent constraints that emerge at LLM scale that may be helping ChatGPT do so much better than we would have expected. These biases are inherent in the nature of language itself, at LLM scale, and they are closely linked to what it is that ChatGPT lacks, which is direct sensorimotor grounding to connect its words to their referents and its propositions to their meanings. These convergent biases are related to (1) the parasitism of indirect verbal grounding on direct sensorimotor grounding, (2) the circularity of verbal definition, (3) the mirroring of language production and comprehension, (4) iconicity in propositions at LLM scale, (5) computational counterparts of human categorical perception in category learning by neural nets, and perhaps also (6) a conjecture by Chomsky about the laws of thought. The exposition will be in the form of a dialogue with ChatGPT-4. (shrink)

This paper deals with the world before language. It divides two states using “Pre-symbolic” and “Meaning-Constructed.” Pre-symbolic: symbols, images, and sounds before humans assign meaning. Meaning-Constructed: the world after meaning appears. The system is further divided into the “Visual Manifold” and the “Auditory Manifold.” This paper also introduces “Restricted-Sense Consensus” and “Extended-Sense Consensus”: Restricted-Sense Consensus: subjects of the same species exchange, teach, and communicate using their own Meaning-Constructed States. Extended-Sense Consensus: different civilizations and different species construct their own Meaning-Constructed (...) States after interpreting their own Pre-symbolic States. These six categories form the core theory of the book the author is currently writing, The Possibility of Understanding Symbols. The main analysis concerns the framework by which humans move from symbols (Pre-symbolic) to meaning (Meaning-Constructed). (shrink)

The relationship between language and consciousness has been debated since ancient times, but the details have never been fully articulated. Certainly, there are animals that possess the same essential auditory and vocal systems as humans, but acquiring language is seemingly uniquely human. In this essay, we investigate the relationship between language and consciousness by demonstrating how language usage implies the self-awareness of the user. We show that the self-awareness faculty encompasses the language faculty and how (...) this self-awareness, that is uniquely human, enables us to create social realities through utilizing the social character of the language. We conclude that it is self-awareness that empowers humans to form collective intentionality and to structure societies. Establishing the relationship between self-awareness, language and society sheds light on connections between philosophy of mind, philosophy of language and philosophy of society. (shrink)

The beginning of the COVID-19 pandemic offers a unique case study for understanding conceptual and linguistic propagation. In early 2020, scientists, politicians, journalists, and other public figures had to, with great urgency, propagate several public health-related concepts and terms to every person they could. This paper examines the propagation of coronavirus and social distancing and develops a framework for understanding how the language used to express a notion can help or hinder propagation. I argue that anyone designing a representational (...) device for propagation needs to appreciate the three-way causal relationship between language, people’s mental representations, and the extramental world. Using this framework, I explore what makes “social distancing” a bad name for social distancing and why it is unproblematic that “coronavirus” is a scientifically loose way of speaking about the virus. Through this and further study of the many historical examples of linguistic and conceptual propagation, conceptual engineers can better understand the complex challenges facing people who want to propagate representational devices. (shrink)

Politics abounds with bad language: lying and bullshitting, grandstanding and virtue signaling, code words and dogwhistles, and more. But why is there so much bad language in politics? And what, if anything, can we do about it? In this paper I show how these two questions are connected. Politics is full of bad language because existing social and political institutions are structured in such a way that the production of bad language becomes rational. In principle, by (...) modifying these institutions we can reduce the prevalence of bad language. However, as I show, such practical efforts are fraught with difficulties. After first outlining an account of bad language (Section 1), I examine the rationality of three different types of bad language: inaccurate language, insincere language, and unclear language (Section 2). Next, I discuss the possibility of implementing institutional reforms to improve the quality of political discourse (Section 3). However, I then outline and discuss two serious complications for institutional reforms—namely, they create risk of abuse, and they could preclude instances of seemingly bad language that, in fact, are socially beneficial (Section 4). I conclude with some thoughts about how to pursue institutional reform in an appropriately circumspect manner (Section 5). (shrink)

Second language acquisition in multilingual settings depends on how learners process input and how they position themselves toward the languages used in class. This study examined the associations among language learning style, attitudes toward code switching, and second language acquisition among 283 Grade 11 students from three public senior high schools in Davao Oriental, Philippines, using a descriptive correlational design. Learners completed standardized scales on Kolb-based learning styles, attitudes toward teacher and student code switching, and internal and (...) external factors that support English acquisition. Data were analysed using descriptive statistics, Pearson correlations, and multiple regression. Reflector style emerged as the most preferred learning style and overall language learning style was high, while attitudes toward code switching were also high. Both language learning style and attitudes toward code switching correlated positively with second language acquisition, yet only language learning style uniquely predicted second language acquisition in the regression model. The findings highlight the central role of learning style preferences in English development and point to a more nuanced, context-sensitive use of code switching in Philippine senior high school classrooms. (shrink)

This article contains the results of a theoretical analysis of the phenomenon of natural language understanding (NLU), as a methodological problem. The combination of structural-ontological and informational-psychological approaches provided an opportunity to describe the subject matter field of NLU, as a composite function of the mind, which systemically combines the verbal and discursive structural layers. In particular, the idea of NLU is presented, on the one hand, as the relation between the discourse of a specific speech message and the (...) meta-discourse of a language, in turn, activated by the need-motivational factors. On the other hand, it is conceptualized as a process with a specific structure of information metabolism, the study of which implies the necessity to differentiate the affective (emotional) and need-motivational influences on the NLU, as well as to take into account their interaction. At the same time, the hypothesis about the influence of needs on NLU under the scenario similar to the pattern of Yerkes-Dodson is argued. And the theoretical conclusion that emotions fulfill the function of the operator of the structural features of the information metabolism of NLU is substantiated. Thus, depending on the modality of emotions in the process of NLU, it was proposed to distinguish two scenarios for the implementation of information metabolism - reduction and synthetic. The argument in favor of the conclusion about the productive and constitutive role of emotions in the process of NLU is also given. (shrink)

Language is often conceived of today as providing a person with a worldview and a set of communicative norms that one accepts unambiguously. However, in his 1992 lecture, “Monolingualism of the Other,” Jacques Derrida insists that his mother tongue is for him “not a natural element, not the transparency of the ether, but an absolute habitat.” In other words, while French is an intimate part of his existence, his relationship to it is nevertheless ambiguous. Derrida claims that his situation (...) is not exceptional though, since for no person is language simply a “natural element.” In this essay, I examine first the phenomenological basis for this controversial claim, drawing from Derrida’s lecture as well as earlier explorations by Martin Heidegger to elucidate the point. Later I turn to address the ethical-political dimensions of Derrida’s claim, explaining how it serves to protest against a problematic process of consolidating power. (shrink)

This article deals with the relationship between language and thought, focusing on the question of whether language can be a vehicle of thought, as, for example, Peter Carruthers has claimed. We develop and examine a powerful argument—the "argument from explicitness"—against this cognitive role of language. The premises of the argument are just two: (1) the vehicle of thought has to be explicit, and (2) natural languages are not explicit. We explain what these simple premises mean and why (...) we should believe they are true. Finally, we argue that even though the argument from explicitness shows that natural language cannot be a vehicle of thought, there is a cognitive function for language. (shrink)

The standard view of classical cognitive science stated that cognition consists in the manipulation of language-like structures according to formal rules. Since cognition is ‘linguistic’ in itself, according to this view language is just a complex communication system and does not influence cognitive processes in any substantial way. This view has been criticized from several perspectives and a new framework (Embodied Cognition) has emerged that considers cognitive processes as non-symbolic and heavily dependent on the dynamical interactions between the (...) cognitive system and its environment. But notwithstanding the successes of the embodied cognitive science in explaining low-level cognitive behaviors, it is still not clear whether and how it can scale up for explaining high-level cognition. In this paper we argue that this can be done by considering the role of language as a cognitive tool: i.e. how language transforms basic cognitive functions in the high-level functions that are characteristic of human cognition. In order to do that, we review some computational models that substantiate this view with respect to categorization and memory. Since these models are based on a very rudimentary form of non-syntactic ‘language’ we argue that the use of language as a cognitive tool might have been an early discovery in hominid evolution, and might have played a substantial role in the evolution of language itself. (shrink)

This paper aims to exemplify the language acquisition model by tracing back to the Socratic model of language learning procedure that sets down inborn knowledge, a kind of implicit knowledge that becomes explicit in our language. Jotting down the claims in Meno, Plato triggers a representationalist outline basing on the deductive reasoning, where the conclusion follows from the premises (inborn knowledge) rather than experience. This revolution comes from the pen of Noam Chomsky, who amends the empiricist position (...) on the creativity of language by pinning down it with the innateness hypothesis. However, Chomsky never rejects the external world or the linguistic stipulation that relies on the objective reality. Wittgenstein’s model of language acquisition upholds a liaison centric appeal that stands between experience (use theory of meaning) and mentalism (mind based inner experiences). Wittgenstein’s Tractatus never demarcates the definite mental processes that entangle with the method of understanding and meaning. Wittgenstein’s ‘language game’ takes care of the model of language acquisition in a paradigmatic way. The way portrait language as the form of life and the process of language acquisition is nothing but a language game that relies on the activity of men. (shrink)

This paper analyzes debates on animal language in eighteenth-century German philosophy and science. Adopting a history of ideas approach, I explain how the study of animal language became tied to the investigation into the origin and development of language towards the end of the eighteenth century. I argue that for large parts of the eighteenth century, the question of the existence of animal languages was studied within the context of the philosophical question of whether animals possess reason. (...) In Germany, the debate concerning animal reason was influenced by Christian Wolff and was taken up by diverse thinkers such as Winkler, Meier, and Reimarus. I argue that in the second half of the eighteenth century the study of animal language became more loosely related to the question of whether animals possess reason: animal language was studied not only in light of the debate on animal reason but also because it sheds light on the nature of animals, on the differences and similarities between animals and humans, and on the origin and development of language. This systematic study of animal language coincided with the rise of linguistics, anthropology, and biology as independent sciences. (shrink)