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claim:human-cognition-evolved-to-detect-agency-in-medium-sized-objects-at-medium-speeds-in-3d-space-limiting-recognition-of-intelligence-in-unfamiliar-substrates

Human cognition evolved to detect agency in medium-sized objects at medium speeds in 3D space, limiting recognition of intelligence in unfamiliar substrates.

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Generalizing frameworks for sentience beyond natural species

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Communities (3)

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Alive AI interface ethics & design
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Explores aliveness, aesthetics, welfare, and ethical responsibility in AI interaction design.
Substrate-independent cognition & consciousness
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Gradualist, substrate-neutral frameworks extending cognition and sentience across biological and artificial networks.
Christopher Alexander's insights applied to AI and cognition
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Explores how Alexander's critique of algorithmic thinking applies to AI design, consciousness, and human evaluation of non-human intelligence across substrates.

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

The human capacity to recognize and evaluate agency is well-tuned for medium sized objects at medium speeds in 3D space, but not adapted to unfamiliar guises and problem spaces.claim0.875
Claim about the limits of human intuition for detecting intelligence/sentience.
Intelligence and cognition exist on a continuum; modern bioscience offers no support for clean bright-line distinctions between cognitive and non-cognitive beings.claim0.808
Anti-essentialism claim: questions like 'is it cognitive?' are scientifically unjustified; modern view must ask 'what kind' and 'how much'.
Digital minds with humanlike capabilities could think at least thousands of times, and perhaps millions of times, faster than humans given sufficient hardwarehypothesis0.807
Grounds the subjective speed dimension of super-beneficiary status
Human consciousness is tied to a biological learning algorithm — the simplest algorithm discoverable by evolutionary search to train a self-organizing biological substrate to become intelligent.claim0.804
Core theoretical claim connecting consciousness to biological learning
Current research examines distributed cognition and AI consciousness separately rather than as integrated phenomena where machine consciousness emerges from inter-agent cognitive processes.claim0.804
Main interpretive assertion of the search result; identifies the gap between existing literature domains and the novel research direction.
How can we develop reliable sentience criteria for agents exhibiting intelligence in metabolic, transcriptional, and anatomical problem spaces humans do not recognize as intelligent?question0.804
We hypothesize that as AI becomes more sophisticated and pervasive, more people will attribute consciousness to AI systems as a result of interactions.hypothesis0.801
Predictive claim about the trajectory of public consciousness attribution as AI develops.
Building AI systems with more indicator properties will increase the likelihood of consciousness.hypothesis0.800
Guiding hypothesis of the rubric.

Cross-corpus bridges (12)

same_concept_as · Nomic cosine

External markdown files that talk about the same concept as this entity.

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Can cognition and agency emerge in non-biological substrates?questions/can-cognition-and-agency-emerge-in-nonbiological-substrates.md0.818
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How can we design artificial intelligence systems that recognize and respond intelligently to diverse forms of sentience and agency?questions/how-can-we-design-artificial-intelligence-systems-that.md0.818
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How does recognition of agency and stress in other entities drive expansion of caring intelligence?questions/how-does-recognition-of-agency-and-stress-in.md0.818
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How do agents recognize and interact meaningfully with other agents of fundamentally different types?questions/how-do-agents-recognize-and-interact-meaningfully-with.md0.810
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How can we design sensors and embodied systems that can navigate high-dimensional problem spaces not accessible to human perception?questions/how-can-we-design-sensors-and-embodied-systems.md0.809
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What is the relationship between the size of an agent's goal space and the degree of its intelligence?questions/what-is-the-relationship-between-the-size-of.md0.805
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Can memories and thoughts actively shape the cognitive systems that instantiate them, functioning as agents rather than passive data?questions/can-memories-and-thoughts-actively-shape-the-cognitive.md0.802
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What processes drive the expansion of intelligence on evolutionary timescales and during an individual being's lifespan?questions/what-processes-drive-the-expansion-of-intelligence-on.md0.800
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How do different cognitive systems recognize other minds?questions/how-do-different-cognitive-systems-recognize-other-minds.md0.798
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What are the implications of multiscale cellular intelligence for evolutionary process and speed?questions/what-are-the-implications-of-multiscale-cellular-intelligence.md0.797
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How can we detect and communicate with intelligences that exist in abstract spaces rather than physical three-dimensional space?questions/how-can-we-detect-and-communicate-with-intelligences.md0.797
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How should the development of artificial general intelligence account for non-standard embodiment and high-dimensional problem spaces?questions/how-should-the-development-of-artificial-general-intelligence.md0.796