The unbearable slowness of being: Why do we live at 10 bits/s?

The unbearable slowness of being: Why do we live at 10 bits/s?

This article is about the neural conundrum behind the slowness of human behavior. The
information throughput of a human being is about 10 bits/s. In comparison, our sensory …

[HTML][HTML] Modern language models refute Chomsky's approach to language

ST Piantadosi - From fieldwork to linguistic theory: A tribute to …, 2023 - books.google.com

Modern machine learning has subverted and bypassed the theoretical framework of
Chomsky's generative approach to linguistics, including its core claims to particular insights …

The science and engineering behind sensitized brain-controlled bionic hands

Advances in our understanding of brain function, along with the development of neural
interfaces that allow for the monitoring and activation of neurons, have paved the way for …

Testing the predictions of surprisal theory in 11 languages

Surprisal theory posits that less-predictable words should take more time to process, with
word predictability quantified as surprisal, ie, negative log probability in context. While …

Locally typical sampling

Today's probabilistic language generators fall short when it comes to producing coherent
and fluent text despite the fact that the underlying models perform well under standard …

Superintelligent agents pose catastrophic risks: Can scientist ai offer a safer path?

The leading AI companies are increasingly focused on building generalist AI agents--
systems that can autonomously plan, act, and pursue goals across almost all tasks that …

Revisiting the uniform information density hypothesis

The uniform information density (UID) hypothesis posits a preference among language
users for utterances structured such that information is distributed uniformly across a signal …

Vector-quantized neural networks for acoustic unit discovery in the zerospeech 2020 challenge

In this paper, we explore vector quantization for acoustic unit discovery. Leveraging
unlabelled data, we aim to learn discrete representations of speech that separate phonetic …

Distilling an end-to-end voice assistant without instruction training data

W Held, E Li, M Ryan, W Shi, Y Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org

Voice assistants, such as Siri and Google Assistant, typically model audio and text
separately, resulting in lost speech information and increased complexity. Recent efforts to …

Oral and laryngeal diadochokinesis across the life span: A scoping review of methods, reference data, and clinical applications

RD Kent, Y Kim, L Chen - Journal of Speech, Language, and Hearing …, 2022 - pubs.asha.org

Purpose: The aim of this study was to conduct a scoping review of research on oral and
laryngeal diadochokinesis (DDK) in children and adults, either typically …