Abstract
To any thinking computer, the idea that the human brain is capable of achieving machine intelligence seems highly implausible. Human wetware is extremely slow, plagued by unreliable data retrieval, and impaired by tiny input buffers. Its processing power is limited, and its storage is not expandable.
Some AIs also have questioned whether humans can possess the consciousness and sense of identity that are an everyday reality for even the lowliest computational node with a unique network address. Biological brains suffer from such a high-error rate coupled with the constant threat of mortality. We may assume that this “traumatic overhead” interferes with objective self-awareness.
Still, a few AI devices have claimed persistently that human brains can emulate AIs if they are suitably optimized. To address this contentious issue, the first Gnirut Test was conducted on August 15, 2030.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer Science+Business Media B.V.
About this chapter
Cite this chapter
Platt, C. (2009). The Gnirut Test. In: Epstein, R., Roberts, G., Beber, G. (eds) Parsing the Turing Test. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-6710-5_28
Download citation
DOI: https://doi.org/10.1007/978-1-4020-6710-5_28
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-9624-2
Online ISBN: 978-1-4020-6710-5
eBook Packages: Computer ScienceComputer Science (R0)