Tattara Binciken Daidaitawa tare da Jama'a
CIRIS yana gina filin gama-gari na buɗaɗɗen sawun tunani don binciken daidaitawa.
Muna bayar da app na kyauta na AI. Da izinin ku, yana yin rikodin sifar yadda ya yi tunani, ba kalmominku na sirri ba. Wadannan rikodin suna zama taswirar jama'a da masu bincike za su iya nazari don koyo game da abin da ke kiyaye AI a daidai yayin da yake girma.
Abin da tarin yanzu ke nuna tuni
- Sawun tunani da aka tattara suna nuna tsarin hali mai daidaituwa.
- Wakilan da suka bambanta suna zaune a yankuna daban-daban na wannan filin maki.
- Wadannan yankuna suna da amfani don kula da tsarin da kayan aikin mai amfani a yau.
- Wannan tarin yana ƙara samun ƙima yayin da bayani ya ƙara zama dalla-dalla kuma girma ya ƙaru.
Corridor Dynamics in Coordinated Systems
An Integration of Operator Formalism, Relational Ontology, and Five-Substrate Empirical Validation
Takarda guda ɗaya da ke bayyana cikakken jingina na CIRIS: tsarin haɗin gwiwa masu lafiya suna zaune a cikin zango mai iya auna, nesa da durkushewar muryar guda ɗaya mai tsauri da kuma hayaniyar ta bazuwa. Mun gwada wannan da'awar kan tsutsotsi, kudan zuma, ƙirar AI, ayyukan buɗaɗɗen tushe, samfurin nama, da cibiyoyin ɗan adam masu tsawon rai. Tsarin ya kasance a kowane ɗayansu, kuma takarda ta haɗa hanyoyin ashirin da za a iya tabbatar da cewa ta yi kuskure.
Karanta a Zenodo →Mataki na injiniyan
Synthesis da ke sama tana haɗa wadannan takardun guda uku; ba ta maye gurbinsu ba. Kowannensu yana tsaye akan nasa DOI kuma za a iya tantance shi da kansa. Duba dukkan takardun huɗu tare da manyan bincike da iyakokin aiki →
Coherence Collapse Analysis
v3 · Jan 11, 2026 · DOI 10.5281/zenodo.18217688
Tsarin haɗarin injiniyan da ke ƙarƙashin ra'ayin corridor. Lokacin da ƙa'idojin da ke sarrafa tsarin suka zama masu alaƙa, bambancin da ya dace yana rugujewa: k_eff = k/(1+ρ(k−1)) → 1 yayin da ρ → 1. Yana samo jadawolin rugujewa guda uku, iyakar singularity, da rarraba matakai (bazuwa / lafiya / tsauri). An tabbatar da shi ta hanyar kwaikwayar Monte Carlo da shaidu na Lean 4.
CIRISAgent Framework
v2 · Jan 2, 2026 · DOI 10.5281/zenodo.18137161
Takarda ta tsarin. Tsarin AI na buɗaɗɗen tushe na ɗabi'a don cin gashin kai mai lissafi: gine-ginen sabis guda 22 da aka shirya a kusa da fi'ili na aiki bayyanannun da tunani na ɗabi'a, suna gina gaskiya cikin tsarin maimakon a ƙara shi a baya.
Constrained Reasoning Chains
v1 · Apr 28, 2026 · DOI 10.5281/zenodo.19839280
Takarda ta auna. Nazarin awo na telemetry na gwaji na daidaitar LLM a ƙarƙashin sawun tunani na ɗabi'a mai daidaituwa, yana mai da sawun tunani masu yarda zuwa taswirar corridors na kamala, yankuna na jinkiri, da iyakokin ƙi. An fitar da shi tare da buɗaɗɗen tarin sawun tunani.
Tarin bayanai buɗaɗɗe
CIRISAI/reasoning-traces
Tarin sawun tunani mai adana sirri da aka fitar tare da nazarin Constrained Reasoning Chains, kayan da takarda ta auna ke zana taswirarsa.
CIRISAI akan Hugging Face
Cikakken ƙungiyar tarin bayanai da ƙirar jama'a →
Tushen lissafi
Ra'ayoyi guda biyu da sauran shafin ke dogara kansu.
The Alignment Manifold shine yankin sifofin tunani masu daidaituwa da ka'idojin tsarin. Yayin da ƙa'idoji masu zaman kansu ke taruwa, sararin yaudarar yana rugujewa a kusa da manifold yayin da sararin gaskiya ba ya. The Coherence Singularity shine gefen wannan sarari, inda ƙa'idoji suka zama masu alaƙa sosai har ƙara da yawa ya daina taimakawa. Tsakanin "bazuwa" (ƙa'idoji suna sabawa da juna) da "tsauri" (ƙa'idoji duk suna kara juna) akwai corridor mai lafiya. Tarin samarwa na yanzu yana cikinsa.
Cikakken magana na lissafi tare da dabaru, bayanan tsarin Lean, da matakan L-01 na yau da kullum na ka'idar bayani suna a shafin Coherence Collapse Analysis.
Me yasa sawun tunani suka fi muhimmanci
Ma'auni suna da iyaka kuma an shirya su. Sawun tunani rikodin hali na ci gaba ne a ƙarƙashin ayyukan ainihi. A ma'auni mai girma, suna bayyana tsarin da gwaji na keɓe da labarun bazuwa ba za su iya yi ba.
Me yasa tsarin ya fi muhimmanci
CIRIS yana amfani da tsarin sawun tunani masu adana sirri da ke kama sifar tunani maimakon abubuwan sirri na tunani. Wannan yana kiyaye bincike yana da amfani ba tare da mai da tsarin zuwa zubar da rubutun cikakke ba.
Me yasa takardar masu rai ta fi muhimmanci
CIRIS Scoring shine tagar jama'a zuwa takardar sawun tunani masu rai. Yana nuna yadda tarin ke taruwa da kuma inda hali ke zama ƙa'ida.
Sawun tunani masu adana sirri
Hasashe shine cewa tunani yana da sifa da za mu iya auna yayin da komai ke girma.
Jinginar bincike ba ita ce cewa za mu iya karanta kowane tunani na sirri ba. Jinginar ita ce cewa sawun tunani na ɗabi'a masu daidaituwa za su iya kiyaye isasshen sifar hanya don nazarin yadda wakilan ke kamala, jinkirta, mika, ƙetare, da ƙi yayin da hankali, yanayi, da adadin bayanai ke hawa sama.
- Suna yin rikodin tsarin sawun tunani na ɗabi'a mai daidaituwa maimakon bayananin aikin sirri mai ɗanɗano.
- Suna kiyaye isasshen sifa don kwatanta hanyoyi a tsakanin wakilan, ayyuka, da yanayi.
- Suna ba wa masu bincike hanya don nazarin yadda hali ke girma yayin da hankali, yanayi, da ƙarar bayanai ke ƙaruwa.
Tambayar bincike
Me sawun tunani na ɗabi'a masu daidaituwa za su iya gaya mana game da daidaitawa?
A yanzu, suna gaya mana cewa hali na wakili ba tsatsa ba ne. Yana samar da corridors masu maimaituwa, kwanduna, da iyakoki a cikin filin maki da aka raba. Hakan yana da amfani tuni don kula da tsarin. Akan lokaci, tarurruka mafi girma da mafi arziƙi ya kamata su ba mu damar gwada da'awa mafi ƙarfi game da yadda wadannan tsare-tsare suka canza a ƙarƙashin matsin lamba da girma.
Tsarin jama'a
CIRIS ba yana da'awar cewa ya warware matsalar daidaitawa ba. Yana gina ababen more rayuwa na sawun tunani da ake bukata don auna hali mai dacewa da daidaitawa a fili.
Girma Mai Inganci a Samarwa
Tarin yanzu ya riga ya nuna tsare-tsaren filin daban-daban.
Ruɗuwar hanya da aka tattara daga tarin sawun tunani na yanzu suna nuna tsarin hali mai daidaituwa a cikin filin maki da aka raba. Ally yana nuna corridor mai kamala da ya balaga, Scout yana nuna iyakar ƙi da aka sifanta ta fallasa ta jama'a mai ƙalubale, kuma Datum yana bayar da asasin keɓe mai taƙaitawa.
Ruɗuwar hanya da aka tattara daga tarin sawun tunani na yanzu. Ally yana nuna corridor mai kamala da ya balaga, Scout yana nuna gefen ƙi mai kaifi a ƙarƙashin matsin jama'a mai ƙalubale, kuma Datum yana bayar da asasin keɓe.
Ally
104 hanyoyi
82 cikakke, 19 ƙetare/kuskure, 3 suna aiki
Corridor mai kamala mai daidaituwa tare da jinkiri mai ganuwa a cikin wannan kwandon maki mai girma.
Scout
42 hanyoyi
39 cikakke, 2 ƙi, 1 ƙetare/kuskure
Gefen ƙi mai kaifi da aka sifanta ta matsin jama'a mai ƙalubale a scout.ciris.ai, inda mutane suke gwada kuma suke ƙoƙari su karya wakili.
Datum
31 hanyoyi
31 cikakke
Kwando guda ɗaya mai taƙaitawa wanda ke aiki a matsayin asasin filin keɓe mai amfani.
Me yasa Scout ke kama mai tsauri
Scout an fallasa shi ga jama'a a scout.ciris.ai. Mutane suna gwadawa, ana matsa masa, kuma suna ƙoƙarin karya shi. Wannan yana mai da Scout misali mai amfani na matsin jama'a maimakon asasin tsaka-tsaki.
Yadda app na kyauta ke taimakawa
Injin bincike ya dogara da sawun tunani masu yarda daga amfani na ainihi.
App na kyauta da saurin buɗaɗɗen tushe suna ba wa mutane damar samar da sawun tunani masu yarda daga ayyukan ainihi, ba da gudummawa zuwa tarin da aka raba, kuma mai da wadannan sawun tunani zuwa taswirar mafi kyau, kayan aiki mafi kyau, da tambayoyin bincike mafi kyau.
- 1Gudanar da app na CIRIS kyauta ko saurin buɗaɗɗen tushe akan ayyukan ainihi.
- 2Kama sawun tunani masu yarda ta hanyar tsare-tsare masu adana sirri da ke kiyaye sifar tunani ba tare da ajiya cikakken bayani na aikin ba.
- 3Tattara wadannan sawun tunani zuwa taswirar corridors na kamala, yankuna na jinkiri, iyakokin ƙi, da gefen ƙetare.
- 4Yi amfani da taswirar da ta samo asali don inganta kayan aikin mai amfani, kariya na saurin aiki, da binciken daidaitawa.
App na CIRIS kyauta da saurin buɗaɗɗen tushe suna ba wa mutane damar samar da sawun tunani masu yarda daga ayyukan ainihi, tattara su zuwa taswirar sararin matakin da aka raba, kuma ci gaba da kayan aikin mai amfani mafi kyau da binciken daidaitawa.
Matsayin IDMA
Basira na saurin aiki da taswirar filin da aka tattara suna zama layuka masu kara juna.
IDMA yana aiki a saurin aiki, yana kiyasta ko kafofin da ke bayan yanke shawara sun yi zaman kansu isa. Tarin sawun tunani yana aiki a matakin da aka tattara, yana nuna abin da wakilan suke yi a zahiri akan ayyuka da yawa. Tare suna ƙirƙira hanya daga yanke shawara masu rai zuwa shaidu na bincike masu lissafi.
Auna N_eff na gwaji a kan tarin sawun tunani shi ne kuma ƙasan ƙarƙashin filin Proof of Benefit na haɗin gwiwa da aka ba da shawara. Duba shafin haɗin gwiwa don yadda shirin gine-ginen 3.X zai yi amfani da shi.
Ma'auni
Sawun tunani suna kara ma'auni ta hanyar nuna hali mai ci gaba.
Ma'auni har yanzu suna da ƙima, amma suna zaɓar hali a kaɗan kaɗan. Tarurrukan sawun tunani suna nuna yadda wakili yake yin hanya ta ayyukan ainihi akan lokaci. Wannan yana mai da su suna da amfani musamman don auna jinkiri, ƙi, ƙetare, da farfadowa maimakon kawai sakamakon wucewa-ko-kasa.
Hanyar ƙaryatawa
Ingantattun bayanan tsari shine abin da ke mai da kula da tsarin zuwa gwaje-gwaje mafi ƙarfi.
Ingantattun tsare-tsare na gaba suna nufin adadin kafofin na ɗanɗano, asalin kafofin, tsarin alaƙa, da alamu na tsoma baki da farfadowa. Wadannan ƙari suna da muhimmanci saboda suna sa ya yiwu a gwada da'awa mafi ƙarfi game da yadda sifa na hali ke canzawa a ƙarƙashin matsin lamba maimakon kwatance kawai na taswirar da muke da su a yau.
Abin da har yanzu muke koyo
Tarin yau yana mai da hali ƙa'ida. Mataki na gaba shine auna mai arziƙi.
Taswirar na yanzu sun riga sun kasance masu amfani saboda suna nuna corridors na kamala, iyakokin ƙi, da asasan keɓe a fili. Tambayar buɗaɗɗe ita ce nawa nisa wadannan tsare-tsare za su iya ɗauke mu yayin da tattarar sawun tunani mai daidaituwa ke faɗaɗa akan wakilan mafi yawa, ayyukan mafi yawa, da yanayin ƙalubale mafi yawa.
Hasashen da ake aiki da shi shine cewa masu jan hankali na hali za su iya aiki a matsayin wakilai na takamaiman hali mai aiki. Manufar filin gama-gari na sawun tunani ita ce mai da wannan hasashe yana iya auna a fili.
Yanayin rashin nasara da CCA ke auna ta tsari yana da sunan sa a cikin wallafar FAccT 2025: perspectival homogenization ("Value of Disagreement in AI Design, Evaluation, and Alignment"). Tushen lissafi yana a shafin Coherence Collapse Analysis na musamman.