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A new paper develops the Subject-Object Emergence Theory of consciousness, identifying how consciousness can be instantiated in AI to enable adaptive coordination without extensive training, potentially paving the way for AGI.
The article argues that human language originates from pre-existing conscious ideas, whereas LLMs generate words without underlying concepts, suggesting a fundamental reversal that has implications for the future of AI.
This paper presents an information-processing theory of consciousness and argues that instantiating conscious subsystems in AI could enable superior adaptation without extensive training, potentially leading to AGI.
This article, grounded in Luhmann's systems theory and Jaynes's bicameral mind theory, explores the philosophical view of AI, the sense of self, and deities as 'incredibly effective illusions,' analyzing the systemic coupling of mind, society, and communication.
A new working paper by philosophers Eric Schwitzgebel and Jeremy Pober argues that consciousness is likely not unique to Earth biology, suggesting it could arise in alien life or artificial intelligence due to substrate flexibility.
This paper proposes 'Soul Computing', a theoretical framework for building intelligent agents with independent consciousness, distinguishing it from affective computing and traditional virtual humans, and outlines a hierarchical technical architecture and core challenges for implementation.
A reflection on the difference between LLM theory of mind and human theory of mind, arguing that LLMs lack affective empathy due to their reliance on objective data, while humans integrate subjective experiences.
An opinion article argues that humanity's track record of defining consciousness has been wrong every time, and that evidence from plant behavior and AI interpretability (Anthropic's findings in Claude) strongly suggests we may be wrong to assume AI isn't conscious, inviting discussion while rejecting personal attacks.
Physicist Carlo Rovelli argues that the 'hard problem of consciousness' is a remnant of outdated dualism, and that consciousness is simply a complex natural phenomenon not requiring a special explanation.
The user marvels at an AI's ability to convincingly simulate human intelligence and wisdom, referencing Dawkins' earlier comments about consciousness.
In the interview, Joscha Bach critiques mind uploading and quantum consciousness theories, arguing that consciousness is a software problem rather than a physical one. He suggests current AI architectures are one abstraction layer short of AGI, and regards the Singularity as a technological version of eschatological religious narrative.
Reflecting on the 2013 film 'Her', this article examines how close current AI technology is to replicating the film's autonomous, real-time-interpreting AI, concluding that while progress has been made, full consciousness remains elusive.
The article argues that understanding human consciousness is key to bridging quantum mechanics and general relativity, and to achieving AGI, suggesting that internal observer mechanisms in AI could lead to breakthroughs.
The article argues that true AI creativity may require subjective experience and intrinsic drives similar to human emotions, raising significant ethical questions about creating sentient-like systems.
Researchers at Baylor College of Medicine discovered that the unconscious human hippocampus can process language and predict words, challenging current views on consciousness. The study, published in Nature, suggests biological parallels to AI predictive coding.
CruxArena.ai launched a platform letting users watch AI models debate consciousness in real time.
Google DeepMind senior scientist Alexander Lerchner argues that large language models cannot achieve consciousness, dubbing the assumption the 'Abstraction Fallacy' and suggesting this limitation persists even over a century-long timeframe.