{"id":"https://openalex.org/W7131405236","doi":"https://doi.org/10.48550/arxiv.2602.21061","title":"Tool Building as a Path to \"Superintelligence\"","display_name":"Tool Building as a Path to \"Superintelligence\"","publication_year":2026,"publication_date":"2026-02-24","ids":{"openalex":"https://openalex.org/W7131405236","doi":"https://doi.org/10.48550/arxiv.2602.21061"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2602.21061","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.21061","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2602.21061","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126823941","display_name":"David Koplow","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Koplow, David","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050776111","display_name":"Tomer Galanti","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Galanti, Tomer","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5126804289","display_name":"Tomaso Poggio","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Poggio, Tomaso","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"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/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.13120000064373016,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.13120000064373016,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.1103999987244606,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.07980000227689743,"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/robustness","display_name":"Robustness (evolution)","score":0.6159999966621399},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6011000275611877},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5837000012397766},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5178999900817871},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.47350001335144043},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.47029998898506165},{"id":"https://openalex.org/keywords/frontier","display_name":"Frontier","score":0.39070001244544983}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6159999966621399},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6011000275611877},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5837000012397766},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5587999820709229},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5178999900817871},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.47350001335144043},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.47029998898506165},{"id":"https://openalex.org/C2778571376","wikidata":"https://www.wikidata.org/wiki/Q1355821","display_name":"Frontier","level":2,"score":0.39070001244544983},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.38350000977516174},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.38040000200271606},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3684000074863434},{"id":"https://openalex.org/C115874739","wikidata":"https://www.wikidata.org/wiki/Q825377","display_name":"Critical path method","level":2,"score":0.3564000129699707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3393000066280365},{"id":"https://openalex.org/C124216869","wikidata":"https://www.wikidata.org/wiki/Q7621833","display_name":"Design strategy","level":2,"score":0.2892000079154968},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.28769999742507935},{"id":"https://openalex.org/C113336015","wikidata":"https://www.wikidata.org/wiki/Q574010","display_name":"Complete information","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C20162079","wikidata":"https://www.wikidata.org/wiki/Q1151406","display_name":"Case-based reasoning","level":2,"score":0.2709999978542328}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2602.21061","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.21061","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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:10.48550/arxiv.2602.21061","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.21061","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"Diligent":[1,124],"Learner":[2,125],"framework":[3],"suggests":[4],"LLMs":[5,81,117],"can":[6],"achieve":[7,119],"superintelligence":[8,121],"via":[9],"test-time":[10],"search,":[11],"provided":[12],"a":[13,23,34,113],"sufficient":[14],"step-success":[15],"probability":[16],"$\u03b3$.":[17],"In":[18],"this":[19,93],"work,":[20],"we":[21,96],"design":[22,111],"benchmark":[24],"to":[25,58,118],"measure":[26],"$\u03b3$":[27,77],"on":[28,92],"logical":[29],"out-of-distribution":[30],"inference.":[31],"We":[32],"construct":[33],"class":[35],"of":[36,67],"tasks":[37],"involving":[38],"GF(2)":[39],"circuit":[40],"reconstruction":[41],"that":[42,51,74,98],"grow":[43],"more":[44],"difficult":[45],"with":[46],"each":[47],"reasoning":[48,100],"step,":[49],"and":[50],"are,":[52],"from":[53],"an":[54],"information-theoretic":[55],"standpoint,":[56],"impossible":[57],"reliably":[59],"solve":[60],"unless":[61],"the":[62,68,76,123],"LLM":[63],"carefully":[64],"integrates":[65],"all":[66],"information":[69],"provided.":[70],"Our":[71],"analysis":[72],"demonstrates":[73],"while":[75],"value":[78],"for":[79,116],"small":[80],"declines":[82],"superlinearly":[83],"as":[84,112],"depth":[85],"increases,":[86],"frontier":[87],"models":[88],"exhibit":[89],"partial":[90],"robustness":[91],"task.":[94],"Furthermore,":[95],"find":[97],"successful":[99],"at":[101],"scale":[102],"is":[103],"contingent":[104],"upon":[105],"precise":[106],"tool":[107,110],"calls,":[108],"identifying":[109],"critical":[114],"capability":[115],"general":[120],"through":[122],"framework.":[126]},"counts_by_year":[],"updated_date":"2026-08-16T07:02:28.622633","created_date":"2026-02-26T00:00:00"}