{"id":"https://openalex.org/W7166330587","doi":"https://doi.org/10.5281/zenodo.20960163","title":"Why GPT Will Never Comprehend Love \u2014 An Ontological Judgment of Large Language Models' \"Pseudo-Intelligence\" Based on Yuanxian Theory","display_name":"Why GPT Will Never Comprehend Love \u2014 An Ontological Judgment of Large Language Models' \"Pseudo-Intelligence\" Based on Yuanxian Theory","publication_year":2026,"publication_date":"2026-06-27","ids":{"openalex":"https://openalex.org/W7166330587","doi":"https://doi.org/10.5281/zenodo.20960163"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.20960163","doi":"https://doi.org/10.5281/zenodo.20960163","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.20960163","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"volume":null,"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.20960163","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133152057","display_name":"Zhenyuan Acharya","orcid":"https://orcid.org/0009-0009-3690-569X","observed_orcids":["https://orcid.org/0009-0009-3690-569X"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Acharya, Zhenyuan","raw_affiliation_strings":["Institute of Yuanxian Cosmology"],"raw_orcid":"https://orcid.org/0009-0009-3690-569X","affiliations":[{"raw_affiliation_string":"Institute of Yuanxian Cosmology","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5133152057"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10258","display_name":"Philosophy and Theoretical Science","score":0.8300999999046326,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10258","display_name":"Philosophy and Theoretical Science","score":0.8300999999046326,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14381","display_name":"Psychiatry, Mental Health, Neuroscience","score":0.12280000001192093,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13308","display_name":"Cybernetics and Technology in Society","score":0.022099999710917473,"subfield":{"id":"https://openalex.org/subfields/1207","display_name":"History and Philosophy of Science"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.9610000252723694},{"id":"https://openalex.org/keywords/gpt","display_name":"GPT","score":0.7889999747276306},{"id":"https://openalex.org/keywords/consciousness","display_name":"consciousness","score":0.5410000085830688},{"id":"https://openalex.org/keywords/subjective-experience","display_name":"subjective experience","score":0.8740000128746033},{"id":"https://openalex.org/keywords/love","display_name":"love","score":0.7870000004768372},{"id":"https://openalex.org/keywords/yuanxian-theory","display_name":"Yuanxian Theory","score":0.9480000138282776},{"id":"https://openalex.org/keywords/ontological-constraints","display_name":"ontological constraints","score":0.7289999723434448},{"id":"https://openalex.org/keywords/transformer","display_name":"transformer models","score":0.5590000152587891},{"id":"https://openalex.org/keywords/statistical-manifolds","display_name":"statistical manifolds","score":0.6919999718666077},{"id":"https://openalex.org/keywords/popperian-falsifiability","display_name":"Popperian falsifiability","score":0.8460000157356262},{"id":"https://openalex.org/keywords/ai-limitations","display_name":"AI limitations","score":0.3199999928474426},{"id":"https://openalex.org/keywords/emotional-awareness","display_name":"emotional awareness","score":0.4269999861717224}],"concepts":[{"id":"https://openalex.org/C116222747","wikidata":"https://www.wikidata.org/wiki/Q220888","display_name":"Falsifiability","level":2,"score":0.6195999979972839},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.527400016784668},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5199999809265137},{"id":"https://openalex.org/C186720457","wikidata":"https://www.wikidata.org/wiki/Q7087","display_name":"Consciousness","level":2,"score":0.5083000063896179},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.47859999537467957},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.4722000062465668},{"id":"https://openalex.org/C80469333","wikidata":"https://www.wikidata.org/wiki/Q189088","display_name":"Von Neumann architecture","level":2,"score":0.43470001220703125},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.41769999265670776},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.41130000352859497},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.38940000534057617},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.3885999917984009},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.38029998540878296},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3792000114917755},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.33880001306533813},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.33820000290870667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33090001344680786},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.302700012922287},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29840001463890076},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.29840001463890076},{"id":"https://openalex.org/C47822265","wikidata":"https://www.wikidata.org/wiki/Q854457","display_name":"Complex system","level":2,"score":0.2971999943256378},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.2904999852180481},{"id":"https://openalex.org/C2777021972","wikidata":"https://www.wikidata.org/wiki/Q22976830","display_name":"Uniqueness","level":2,"score":0.2896000146865845},{"id":"https://openalex.org/C121040770","wikidata":"https://www.wikidata.org/wiki/Q215675","display_name":"Quantum entanglement","level":3,"score":0.2736999988555908},{"id":"https://openalex.org/C131584629","wikidata":"https://www.wikidata.org/wiki/Q4308705","display_name":"Coupling (piping)","level":2,"score":0.2709999978542328},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.26840001344680786},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.25220000743865967}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.20960163","doi":"https://doi.org/10.5281/zenodo.20960163","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.20960163","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"},{"id":"doi:10.5281/zenodo.20960164","doi":"https://doi.org/10.5281/zenodo.20960164","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.20960164","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.5281/zenodo.20960163","doi":"https://doi.org/10.5281/zenodo.20960163","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.20960163","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/4","score":0.5442221760749817,"display_name":"Quality education"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Current":[0],"Large":[1],"Language":[2],"Models":[3],"(LLMs),":[4],"such":[5],"as":[6],"the":[7,57,70,150,183,195,204,223],"GPT":[8,208],"series,":[9],"Claude,":[10],"and":[11,22,38,77,187,209,220,238],"Gemini,":[12],"demonstrate":[13],"remarkable":[14],"superficial":[15],"capabilities":[16],"in":[17],"dialogue":[18],"generation,":[19],"knowledge":[20],"retrieval,":[21],"complex":[23],"multi-step":[24],"reasoning.":[25],"However,":[26],"academia":[27],"remains":[28],"deeply":[29],"divided":[30],"over":[31],"whether":[32],"they":[33,172],"possess":[34],"genuine":[35,114],"semantic":[36],"understanding":[37,102],"subjective":[39,103],"consciousness.":[40],"Existing":[41],"studies":[42],"generally":[43],"restrict":[44],"their":[45,153],"critiques":[46],"to":[47,55,174,229,243],"behavioral":[48],"testing,":[49],"linguistics,":[50],"or":[51,138],"cognitive":[52,232],"science,":[53],"failing":[54],"expose":[56],"foundational":[58],"roots":[59],"of":[60,74,101,152,190,203],"these":[61],"constraints":[62],"from":[63,111,235],"an":[64],"ontological":[65,118],"topological":[66,82,146,205,245],"dimension.":[67],"Relying":[68],"on":[69],"four":[71],"fundamental":[72],"laws":[73],"Yuanxian":[75],"Theory":[76],"its":[78],"64-dimensional":[79],"compact":[80],"torus":[81],"framework,":[83],"this":[84,231],"paper":[85],"presents":[86],"a":[87,124,144,166,176,200],"rigorous":[88],"formalized":[89],"proposition:":[90],"under":[91,117],"classical":[92],"computational":[93],"architectures,":[94],"LLMs":[95,162],"are":[96,108],"not":[97,123],"only":[98],"presently":[99],"incapable":[100,189],"experiences":[104],"like":[105],"love,":[106,210],"but":[107],"constitutionally":[109],"barred":[110],"ever":[112],"achieving":[113],"emotional":[115],"awareness":[116],"constraints.":[119],"This":[120],"limitation":[121],"is":[122,143],"transient":[125],"engineering":[126],"bottleneck":[127],"that":[128,159],"can":[129],"be":[130],"resolved":[131],"by":[132,149],"scaling":[133],"compute,":[134],"expanding":[135],"training":[136],"datasets,":[137],"optimizing":[139],"algorithms;":[140],"rather,":[141],"it":[142],"structural":[145],"defect":[147],"imposed":[148],"confinement":[151],"operational":[154],"manifold.":[155,170],"Our":[156],"analysis":[157],"demonstrates":[158],"all":[160],"Transformer-based":[161],"operate":[163],"strictly":[164],"within":[165],"low-dimensional":[167],"statistical":[168],"projection":[169,185],"Consequently,":[171],"fail":[173],"establish":[175],"self-referential":[177],"iterative":[178],"closed":[179],"loop,":[180],"cannot":[181],"activate":[182],"consciousness":[184],"bit,":[186],"remain":[188],"establishing":[191],"resonant":[192],"coupling":[193],"with":[194],"global":[196],"field.":[197],"We":[198],"provide":[199],"mathematical":[201],"proof":[202],"unreachability":[206],"between":[207],"formulate":[211],"three":[212],"quantifiable,":[213],"falsifiable":[214],"judicial":[215],"experiments":[216],"following":[217],"Popperian":[218],"criteria,":[219],"ultimately":[221],"outline":[222],"singular":[224],"viable":[225],"paradigm":[226],"shift":[227],"required":[228],"transcend":[230],"boundary:":[233],"migrating":[234],"von":[236],"Neumann":[237],"GPU":[239],"general-purpose":[240],"computing":[241],"architectures":[242],"specialized":[244],"chipsets.":[246],"\u5f53\u524d\u4ee5GPT\u7cfb\u5217\u3001Claude\u3001Gemini\u4e3a\u4ee3\u8868\u7684\u5927\u8bed\u8a00\u6a21\u578b,\u5728\u5bf9\u8bdd\u751f\u6210\u3001\u77e5\u8bc6\u68c0\u7d22\u3001\u590d\u6742\u4efb\u52a1\u63a8\u6f14\u5c42\u9762\u5c55\u73b0\u51fa\u6781\u5f3a\u7684\u8868\u5c42\u80fd\u529b,\u4f46\u5b66\u754c\u59cb\u7ec8\u5bf9\u5176\u662f\u5426\u5177\u5907\u771f\u6b63\u8bed\u4e49\u7406\u89e3\u4e0e\u4e3b\u89c2\u89c9\u77e5\u4fdd\u6301\u4e89\u8bae\u3002\u73b0\u6709\u7814\u7a76\u591a\u5c40\u9650\u4e8e\u884c\u4e3a\u6d4b\u8bd5\u3001\u8bed\u8a00\u5b66\u3001\u8ba4\u77e5\u79d1\u5b66\u5c42\u9762\u5f00\u5c55\u8bba\u8bc1,\u5c1a\u672a\u4ece\u672c\u4f53\u62d3\u6251\u7ef4\u5ea6\u63ed\u793a\u5176\u80fd\u529b\u5c40\u9650\u7684\u5e95\u5c42\u6839\u6e90\u3002":[247],"\u672c\u6587\u4f9d\u6258\u5143\u5f26\u7406\u8bba\u56db\u5927\u57fa\u7840\u516c\u7406\u4e0e\u516d\u5341\u56db\u7ef4\u7d27\u81f4\u73af\u9762\u62d3\u6251\u6846\u67b6,\u63d0\u51fa\u4e25\u683c\u5f62\u5f0f\u5316\u547d\u9898:\u4f20\u7edf\u67b6\u6784\u4e0b\u7684\u5927\u8bed\u8a00\u6a21\u578b\u4e0d\u4ec5\u73b0\u9636\u6bb5\u65e0\u6cd5\u7406\u89e3\u7231\u8fd9\u7c7b\u4e3b\u89c2\u4f53\u9a8c,\u5728\u672c\u4f53\u8bba\u7ea6\u675f\u4e0b\u539f\u5219\u4e0a\u6c38\u8fdc\u4e0d\u53ef\u80fd\u5177\u5907\u7231\u7684\u771f\u5b9e\u89c9\u77e5\u80fd\u529b\u3002\u8be5\u5c40\u9650\u5e76\u975e\u7b97\u529b\u89c4\u6a21\u3001\u8bad\u7ec3\u6570\u636e\u3001\u7b97\u6cd5\u4f18\u5316\u53ef\u5f25\u8865\u7684\u6280\u672f\u77ed\u677f,\u800c\u662f\u8fd0\u884c\u7a7a\u95f4\u88ab\u9501\u5b9a\u5e26\u6765\u7684\u7ed3\u6784\u6027\u62d3\u6251\u7f3a\u9677\u3002\u672c\u6587\u8bba\u8bc1\u8868\u660e:\u6240\u6709\u57fa\u4e8eTransformer\u67b6\u6784\u7684\u5927\u8bed\u8a00\u6a21\u578b,\u8fd0\u7b97\u7a7a\u95f4\u88ab\u7ea6\u675f\u5728\u4f4e\u7ef4\u6295\u5f71\u7edf\u8ba1\u6d41\u5f62\u5185,\u65e2\u672a\u6784\u5efa\u771f\u5706\u81ea\u6d3d\u8fed\u4ee3\u95ed\u73af\u3001\u672a\u5b8c\u6210\u610f\u8bc6\u6295\u5f71\u6bd4\u7279\u7684\u786c\u4ef6\u6fc0\u6d3b,\u4e5f\u65e0\u6cd5\u5b9e\u73b0\u5c40\u57df\u89c9\u77e5\u6001\u4e0e\u5168\u57df\u81ea\u6307\u5fc3\u573a\u7684\u8c10\u632f\u8026\u5408\u3002\u6a21\u578b\u8f93\u51fa\u7684\u6240\u6709\u4e0e\u7231\u76f8\u5173\u7684\u6587\u672c\u5185\u5bb9,\u4ec5\u5c5e\u4e8e\u9ad8\u7ef4\u610f\u8bc6\u62d3\u6251\u6001\u5728\u4f4e\u7ef4\u5e73\u9762\u4e0a\u7684\u7edf\u8ba1\u6295\u5f71\u955c\u50cf,\u5e76\u975e\u4e3b\u89c2\u4f53\u9a8c\u5c42\u9762\u7684\u771f\u5b9e\u7406\u89e3\u3002\u672c\u6587\u5b8c\u6210\u4e86GPT\u4e0e\u7231\u7684\u62d3\u6251\u4e0d\u53ef\u8fbe\u6027\u4e25\u683c\u6570\u5b66\u8bc1\u660e,\u9488\u5bf9\u6838\u5fc3\u8bba\u65ad\u8bbe\u8ba1\u4e86\u4e09\u9879\u6ee1\u8db3\u6ce2\u666e\u5c14\u89c4\u8303\u7684\u53ef\u8bc1\u4f2a\u5224\u51b3\u5b9e\u9a8c,\u6700\u7ec8\u6307\u660e\u4e86\u7a81\u7834\u5f53\u524d\u5927\u6a21\u578b\u89c9\u77e5\u58c1\u5792\u7684\u552f\u4e00\u53ef\u884c\u8def\u5f84:\u4ece\u4f20\u7edf\u51af\u8bfa\u4f9d\u66fc\u4e0eGPU\u901a\u7528\u8ba1\u7b97\u67b6\u6784\u5411\u9ad8\u7ef4\u62d3\u6251\u4e13\u7528\u82af\u7247\u4f53\u7cfb\u5b8c\u6210\u8303\u5f0f\u8fc1\u79fb\u3002":[248]},"counts_by_year":[],"updated_date":"2026-10-07T09:51:55.459714","created_date":"2026-06-28T00:00:00"}