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Record W2107427407

Response to the Commentary of Syamala Hari

2010· article· en· W2107427407 on OpenAlexaff
Gregory M. Nixon

Bibliographic record

VenueJournal of consciousness exploration & research · 2010
Typearticle
Languageen
FieldPsychology
TopicParanormal Experiences and Beliefs
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsConsciousnessIdentity (music)SubjectivityUnconscious mindPsychologyCollective unconsciousEpistemologySociologyCognitive scienceAestheticsPsychoanalysisPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

I am not clear on all of the points mentioned in th is commentary (Hari, 2010), but allow me to respond to the idea of computer consciousness. I ha ve previously stated somewhere that having a living body ties us in with all other living bodies and living material in general. I contain DNA and genetic codes that have evolved through my ancestors and, before them, from prehuman life forms and the earliest cellular structures. The bod y that I am is a microcosmic focus of all life on a particular genetic pathway. The inborn experience that comes with being a living physical body is part of my life (make me, in turn, a part of all life) and is further the foundation of the culturally reflected consciousness that makes inter subjectivity and self-identity possible. At the bodily level, experiential interactions take place without my learned self-identity reflecting upon them, so experience without consciousness certainly does tak e place . We do, however, learn to become conscious of our own experiencing. Needless to say, our culturally-constructed conscious experience also infects unconscious somat ic experience in itself, so consciousness does not just ride like a boat upon a sea of uncons cious experience. It interacts with it in a circle of mutual creativity. Our minds are part of the fut ure evolution of our bodies and of living nature itself. Computers, interacting with human minds, have advanced so quickly they can now do thoughtlike processing at a much faster rate with m uch larger chunks of data than any human or group of humans could ever manage on their own. Without doubt, much of our own conscious thinking and feeling is computational, acting and r eacting in a linear cause and effect series, sometimes in parallel, sometimes not. In short, a p owerful computer program can do everything a mind can do but better. Does that mean it is cons cious, as in conscious of its own processing? I think the best answer is not yet . Complex multi-parallel processing can in principl e allow computers to “observe” their own processing and even respond to it and change it. In that sense, consciousness has been attained. But this is not conscious experience . This is conscious processing since the computation is reflective only of furthe r computation. So, to respond to Syamala’s question, I would say that advanced computer programs will become conscious but it is consciousness without experience . A consciousness not built on the base of experien ce is disconnected from the evolutionary history of life on this planet and exists without an instinctual teleology or carnal memories. It is a disembodied, heartless, parallel system of increasingly powerful computations whose only purpose has been programmed into them by human programmers with much less powerful computing programs in their heads. A human living only in a world of endless, tireless thoughts would be c alled insane. In computers to come, this may be called consciousness.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.614
Threshold uncertainty score0.898

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.095
GPT teacher head0.440
Teacher spread0.345 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2010
Admission routes1
Has abstractyes

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