https://philpapers.org/rec/WIECLL
Could large language models be conscious? A perspective from the free energy principle
Wanja Wiese
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https://www.youtube.com/watch?v=eZDSNPFS0Fs
"Meta-Representations as Representations of Processes"
Ryota Kanai, Ryota Takatsuki, and Ippei Fujisawa
https://osf.io/preprints/psyarxiv/zg27u
In this study, we explore how the notion of meta-representations in Higher-Order Theories (HOT) of consciousness can be implemented in computational models. HOT suggests that consciousness emerges from meta-representations, which are representations of first-order sensory representations. However, translating this abstract concept into a concrete computational model, such as those used in artificial intelligence, presents a theoretical challenge. For example, a simplistic interpretation of meta-representation as a representation of representation makes the notion rather trivial and ubiquitous. Here, we propose a refined interpretation of meta-representations. Contrary to the simplistic view of meta-representations as mere transformations of the first-order representational states or confidence estimates, we argue that meta-representations are representations of the processes that generate first-order representations. This presents a process-oriented view whereby meta-representations capture the qualitative aspect of how sensory information is transformed into first-order representations. To concretely illustrate and operationalize thus formulated notion of meta-representation, we constructed "meta-networks" designed to explicitly model meta-representations within deep learning architectures. Specifically, we constructed meta-networks by implementing autoencoders of first-order neural networks. In this architecture, the latent spaces embedding those first-order networks correspond to the meta-representations of first-order networks. By applying meta-networks to embed neural networks trained to encode visual and auditory datasets, we show that the meta-representations of first-order networks successfully capture the qualitative aspects of those networks by separating the visual and auditory networks in the meta-representation space. We argue that such meta-representations would be useful for quantitatively compare and contrast the qualitative differences of computational processes. While whether such meta-representational systems exist in the human brain remains an open question, this formulation of meta-representation offers a new empirically testable hypothesis that there are brain regions that represent the processes of transforming a representation in one brain region to a representation in another brain region. Furthermore, this form of meta-representations might underlie our ability to describe the qualitative aspect of sensory experience or qualia.
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https://www.youtube.com/watch?v=7AtInJ-q7Hk
Jordan Hall
@JordanGreenhall
https://twitter.com/jgreenhall?
https://medium.com/@jordangreenhall
Matthew Pirkowski
@MatthewPirkowski
https://twitter.com/MattPirkowski
Active Inference Institute information:
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https://www.youtube.com/watch?v=tbHZC6D39C4
Governable Spaces
Democratic Design for Online Life
by Nathan Schneider (Author), Darija Medic (Illustrator)
https://www.ucpress.edu/book/9780520393943/governable-spaces
When was the last time you participated in an election for an online group chat or sat on a jury for a dispute about a controversial post? Platforms nudge users to tolerate nearly all-powerful admins, moderators, and "benevolent dictators for life." In Governable Spaces, Nathan Schneider argues that the internet has been plagued by a phenomenon he calls "implicit feudalism": a bias, both cultural and technical, for building communities as fiefdoms. The consequences of this arrangement matter far beyond online spaces themselves, as feudal defaults train us to give up on our communities' democratic potential, inclining us to be more tolerant of autocratic tech CEOs and authoritarian tendencies among politicians. But online spaces could be sites of a creative, radical, and democratic renaissance. Using media archaeology, political theory, and participant observation, Schneider shows how the internet can learn from governance legacies of the past to become a more democratic medium, responsive and inventive unlike anything that has come before.
Active Inference Institute information:
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Active Inference Livestreams: https://coda.io/@active-inference-institute/livestreams
...
https://www.youtube.com/watch?v=KwFpamHzmUc
All Active Inference Institute livestreams and videos:
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Active Inference: The Free Energy Principle in Mind, Brain, and Behavior
By Thomas Parr, Giovanni Pezzulo and Karl J. Friston
https://mitpress.mit.edu/9780262045353/active-inference/ https://www.activeinference.org/
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https://www.youtube.com/watch?v=W4lIy05RycM