From Inner Speech to Artificial Intelligence | Dialogues III

Babbling is structured vocal exploration that develops before conventional words. Caregivers’ timely responses can influence subsequent vocal behaviour, but language acquisition cannot be reduced to random noise plus reward. Perception, motor development, attention, social interaction and language-specific learning all contribute.

B. F. Skinner analysed verbal behaviour through learning history, reinforcement and function. Noam Chomsky’s influential 1959 review argued that this framework could not adequately explain linguistic novelty and structure. The opposition shaped modern linguistics, although contemporary accounts often integrate biological preparedness, statistical learning and social interaction more flexibly.

Object permanence is the understanding that an object continues to exist when it is not currently perceived. Naming and stable representation develop in relation to one another, but the episode overstates matters when it makes object permanence an absolute prerequisite for nouns or suggests that a label itself creates subjectivity.

Displacement is the capacity to communicate about things remote from the present place and moment. Mental time travel refers more broadly to remembering personal events and imagining possible futures. Language greatly extends these capacities, but neither future-oriented cognition nor animal communication divides neatly into human presence and non-human immediacy.

Private speech is audible speech directed towards oneself, often used by children during planning or difficult tasks. In Vygotsky’s model it becomes internalised as inner speech. Modern research supports roles in self-regulation and cognition while also finding substantial variation: not everyone experiences a continuous internal monologue.

In the Vygotskian distinction used here, meaning is the relatively shared and stable semantic content of a word; sense is the shifting totality of associations it acquires in a particular context and personal history. Condensed inner speech can depend heavily on sense because the thinker need not explain the context to another person.

Reading is culturally acquired rather than supported by a single evolved reading module. Learning to read links and modifies existing visual, auditory and language systems. “Rewiring” is useful shorthand for neuroplastic change, not the replacement of one fixed brain circuit with another.

The shallowing hypothesis proposes that habitual rapid, interrupted digital activity may encourage less sustained processing. Meta-analyses have sometimes found a small paper advantage in comprehension, with effects shaped by time pressure, genre, scrolling, navigation and reader expectations. The evidence does not justify assigning one cognitive state to every screen and another to every book.

Alpha, beta, theta and gamma describe ranges of oscillatory electrical activity measured at the scalp. Their interpretation depends on region, task, timing and method. They are not simple meters for creativity, threat, deep reading or distraction, and more of a named frequency does not translate directly into a single psychological state.

The default mode network is a distributed set of brain regions whose activity often increases during internally directed processes such as autobiographical memory, self-referential thought, social cognition and imagining the future. It interacts with other networks and is not a discrete anatomical self, narrator or “ego centre.”

Rumination is repetitive thinking about distress, its causes and consequences. Research associates it with patterns of network activity and connectivity, including parts of the default mode network, without reducing depression or anxiety to one faulty circuit. Meditation practices may alter self-related processing, but outcomes vary by practice, person and context.

An embedding is a learned numerical representation in which relationships can be reflected by geometry. Earlier word-vector examples made analogies such as “king minus man plus woman” famous; modern language models generally represent tokens contextually across many layers. “Latent space” is a useful family resemblance, not one literal atlas where every word has a single permanent address.

A model can learn powerful regularities in linguistic use and produce context-sensitive language. Whether this constitutes understanding depends partly on what “understanding” means; whether it entails subjective experience is a further question. Behavioural fluency alone does not currently establish machine consciousness, nor does lack of human biology by itself settle the matter.