{"id":"https://openalex.org/W7225129484","doi":"https://doi.org/10.5281/zenodo.23877424","title":"Tutoring the Enemy No. 0 \u2014 Learning With an AI, in Both Directions","display_name":"Tutoring the Enemy No. 0 \u2014 Learning With an AI, in Both Directions","publication_year":2026,"publication_date":"2026-11-02","ids":{"openalex":"https://openalex.org/W7225129484","doi":"https://doi.org/10.5281/zenodo.23877424"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.23877424","doi":"https://doi.org/10.5281/zenodo.23877424","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23877424","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":"article-journal"},"volume":null,"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.23877424","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5158760470","display_name":"Daniel Jacqu\u00e9rioz","orcid":"https://orcid.org/0009-0001-9487-3835","observed_orcids":["https://orcid.org/0009-0001-9487-3835"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jacqu\u00e9rioz, Daniel","raw_affiliation_strings":["Independent Researcher"],"raw_orcid":"https://orcid.org/0009-0001-9487-3835","affiliations":[{"raw_affiliation_string":"Independent Researcher","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5158760470"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.89328925,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.14839999377727509,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.14839999377727509,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12648","display_name":"Academic Writing and Publishing","score":0.14329999685287476,"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"}},{"id":"https://openalex.org/T13904","display_name":"Artificial Intelligence Applications","score":0.08370000123977661,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ai-assisted-learning","display_name":"AI-assisted learning","score":0.7009999752044678},{"id":"https://openalex.org/keywords/human-ai-dialogue","display_name":"human-AI dialogue","score":0.7310000061988831},{"id":"https://openalex.org/keywords/collaborative-knowledge-building","display_name":"collaborative knowledge building","score":0.4000000059604645}],"concepts":[{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.7961999773979187},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.694599986076355},{"id":"https://openalex.org/C98184364","wikidata":"https://www.wikidata.org/wiki/Q1780131","display_name":"Argument (complex analysis)","level":2,"score":0.5995000004768372},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5871999859809875},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5432999730110168},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5346999764442444},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5067999958992004},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.46480000019073486},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.453000009059906},{"id":"https://openalex.org/C90329073","wikidata":"https://www.wikidata.org/wiki/Q914232","display_name":"Ask price","level":2,"score":0.39660000801086426},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.3752000033855438},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.33090001344680786},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.275299996137619},{"id":"https://openalex.org/C2778775528","wikidata":"https://www.wikidata.org/wiki/Q5135432","display_name":"Closing (real estate)","level":2,"score":0.26919999718666077},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.2662000060081482},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.2653999924659729},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C3019612716","wikidata":"https://www.wikidata.org/wiki/Q730920","display_name":"Problem solver","level":2,"score":0.25360000133514404}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.23877424","doi":"https://doi.org/10.5281/zenodo.23877424","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23877424","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":"article-journal"},{"id":"doi:10.5281/zenodo.23877425","doi":"https://doi.org/10.5281/zenodo.23877425","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23877425","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":"article-journal"}],"best_oa_location":{"id":"doi:10.5281/zenodo.23877424","doi":"https://doi.org/10.5281/zenodo.23877424","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23877424","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":"article-journal"},"sustainable_development_goals":[{"display_name":"Quality education","id":"https://metadata.un.org/sdg/4","score":0.5385000109672546}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W7221755856"],"related_works":["https://openalex.org/W7122854516","https://openalex.org/W7155502053","https://openalex.org/W7222791108","https://openalex.org/W7203469382","https://openalex.org/W7155205990","https://openalex.org/W7221709602","https://openalex.org/W7216356101","https://openalex.org/W4400504438","https://openalex.org/W4404990228","https://openalex.org/W7167866859"],"abstract_inverted_index":{"The":[0,63,141,196,268],"method":[1,27,64],"paper":[2,197],"of":[3,56,86,104,121,128,168,207,222],"Tutoring":[4,42],"the":[5,26,43,54,76,78,84,93,97,102,111,145,156,172,205,223,249,256,275,278],"Enemy,":[6],"a":[7,20,34,119,165,178,200,208],"series":[8],"that":[9,40,48],"starts":[10],"from":[11,191],"one":[12,69,228,231],"question":[13],"and":[14,74,101,113,127,147,154,185,210,244,272],"works,":[15],"with":[16,37,53,144,199,230,241,262],"an":[17,159,175,265],"AI,":[18],"toward":[19],"shared":[21],"understanding.":[22],"It":[23,233],"sets":[24],"out":[25],"followed":[28],"on":[29,59],"1":[30,193],"November":[31],"2026,":[32],"in":[33,81,110,124,131,158,260],"two-hour":[35],"session":[36,209],"Claude":[38,254,263],"(Anthropic)":[39],"produced":[41],"Enemy":[44],"No.":[45,192],"1,":[46],"so":[47,152],"anyone":[49],"can":[50],"try":[51],"it":[52,95,99],"AI":[55,169,266],"their":[57,60],"choice,":[58],"own":[61],"question.":[62],"has":[65],"seven":[66],"steps:":[67],"ask":[68],"broad":[70],"question;":[71],"push":[72],"back,":[73],"accept":[75],"corrections":[77],"evidence":[79],"brings":[80],"turn;":[82],"name":[83],"level":[85],"understanding":[87],"sought;":[88],"weigh":[89],"each":[90],"example":[91],"by":[92,227,238,253],"attention":[94],"gets,":[96],"people":[98],"touched":[100],"quality":[103],"its":[105],"evidence;":[106],"build":[107],"key":[108],"definitions":[109],"discussion":[112],"state":[114],"them":[115],"as":[116],"such;":[117],"keep":[118],"log":[120],"every":[122,129],"correction,":[123],"both":[125],"directions,":[126],"change":[130],"understanding,":[132],"never":[133],"overwritten;":[134],"write":[135],"up,":[136],"then":[137],"check":[138],"for":[139,236,274],"drift.":[140],"write-up":[142],"opens":[143],"questions":[146],"what":[148],"we":[149],"have":[150],"learned":[151],"far,":[153],"keeps":[155],"process":[157],"addendum.":[160],"A":[161],"drift":[162,250],"watch":[163,251],"addresses":[164],"typical":[166],"failure":[167],"writing:":[170],"when":[171],"machine":[173],"compresses":[174],"argument":[176],"into":[177,183,187],"memorable":[179],"line,":[180],"descriptions":[181],"slide":[182],"values":[184],"metaphors":[186],"definitions.":[188],"Two":[189],"examples":[190],"show":[194],"it.":[195,217],"ends":[198],"text":[201],"to":[202,213],"paste":[203],"at":[204,255],"start":[206],"five":[211],"points":[212],"report":[214],"after":[215],"trying":[216],"This":[218],"is":[219,234],"version":[220],"0.1":[221],"method,":[224],"used":[225],"once,":[226],"person":[229],"AI.":[232],"offered":[235],"testing":[237],"other":[239,242,245],"people,":[240],"machines":[243],"questions.":[246],"Term":[247],"proposed:":[248],"(worded":[252],"author's":[257],"initiative).":[258],"Written":[259],"part":[261],"(Anthropic),":[264],"model.":[267],"ideas,":[269],"editorial":[270],"decisions":[271],"responsibility":[273],"content":[276],"are":[277],"author's.":[279]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-11-03T00:00:00"}