The Unbearable Slowness of Being: Why do we live at 10 bits/s?
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Abstract (arXiv)
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 systems gather data at ~10^9 bits/s. The stark contrast between these numbers remains unexplained and touches on fundamental aspects of brain function: What neural substrate sets this speed limit on the pace of our existence? Why does the brain need billions of neurons to process 10 bits/s? Why can we only think about one thing at a time? The brain seems to operate in two distinct modes: the "outer" brain handles fast high-dimensional sensory and motor signals, whereas the "inner" brain processes the reduced few bits needed to control behavior. Plausible explanations exist for the large neuron numbers in the outer brain, but not for the inner brain, and we propose new research directions to remedy this.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). First posted on arXiv 3 Aug 2024.
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Citing papers per year: 2025: 6; 2026: 2.
8 papers.
- 2025StreamMind: Unlocking Full Frame Rate Streaming Video Dialogue through Event-Gated Cognitioncited by 46
- 2025Adjacent Words, Divergent Intents: Jailbreaking Large Language Models via Task Concurrencycited by 17
- 2025I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data?cited by 13
- 2025Position: Olfaction Standardization is Essential for the Advancement of Embodied Artificial Intelligencecited by 1
- 2025Semantic representations emerge in biologically inspired ensembles of cross-supervising neural networkscited by 0
- 2025On the Computability of Artificial General Intelligencecited by 0
- 2026BIAS: A Biologically Inspired Algorithm for Video Saliency Detectioncited by 0
- 2026Where Should Language Sit in a Multimodal Model? Lessons from What Language Does to Human Perception and Cognitioncited by 0
- 2026Where Should Language Sit in a Multimodal Model? Lessons from What Language Does to Human Perception and Cognition7 Sep 2026
- 2026BIAS: A Biologically Inspired Algorithm for Video Saliency Detection10 Apr 2026
- 2025On the Computability of Artificial General Intelligence4 Dec 2025
- 2025Adjacent Words, Divergent Intents: Jailbreaking Large Language Models via Task Concurrency24 Oct 2025
- 2025Semantic representations emerge in biologically inspired ensembles of cross-supervising neural networks16 Oct 2025
- 2025Position: Olfaction Standardization is Essential for the Advancement of Embodied Artificial Intelligence31 May 2025
- 2025I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data?12 Mar 2025
- 2025StreamMind: Unlocking Full Frame Rate Streaming Video Dialogue through Event-Gated Cognition8 Mar 2025