Komawa Labarai
Bidi'aAI Understanding takaitaccen bayani

Preprint ya gano aikin AI mai aiki ya dogara da nasarar aiki da kuma amfani da albarkatu

Wani sabon bugu na arXiv wanda ya kwatanta OpenClaw da NanoBot bai sami wani ingantaccen mai nasara ba akan cikakken aiki, amma yana ba da rahoton manyan bambance-bambance a cikin lokaci da ƙwaƙwalwar ƙima. Marubutan suna jayayya cewa kimantawar wakilai yakamata su haɗa sakamako zuwa albarkatun da bayanan kisa waɗanda suka samar da su.

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Source-provided image accompanying Preprint finds agentic AI performance depends on both task success and resource use
Takardun tushe na farkoAn rubuta tushen tushe
Mawallafi
arxiv.org
Tushen hanyar haɗin gwiwa
arxiv.orghttps://arxiv.org/abs/2608.27886
Nau'in tushe
Takardun farko - sanarwar hukuma, takarda, yin rajista, ko shafi na farko da muka karanta kai tsaye.
MaganaFahimtar wannan a cikin daƙiƙa 60

Fara a nan

Mabuɗin sharuddan

Ƙwaƙwalwar ajiya (Agent Memory)
Mahallin da aka adana wani wakilin AI yana amfani da matakai ko zaman don inganta ci gaba.
Alamar alama
Daidaitaccen gwaji ko saitin bayanai da aka yi amfani da shi don aunawa da kwatanta aikin ƙira.
Amfani da Kayan aiki
Ƙarfin samfurin don kiran kayan aikin waje kamar bincike, ƙididdiga, ko APIs.
Gwada kankaAI Agents Tambayoyi

Me ya faru

Wani samfurin arXiv da aka ƙaddamar a watan Agusta 28 yana kwatanta OpenClaw da NanoBot a matsayin cikakken tsarin AI na wakili, gami da ƙirar harshe, kayan aikinsu, ƙwaƙwalwar ajiya, sarrafa jihohi da aiwatar da matakai da yawa. A kan ma'auni na farko, OpenClaw ya kammala 31% na ayyuka da NanoBot 25%, amma rahoton 95% tazarar aiki-bootstrap ya gudana daga -3 zuwa maki 15, don haka binciken bai kafa cikakkiyar fa'ida ga kowane tsarin ba.

Rubutun yana kimanta OpenClaw da NanoBot a matsayin cikakkun tsarin wakili maimakon kwatanta ƙirar harshe a keɓe. Mawallafa sun bayyana tsarin wakili a matsayin haɗuwa da samfurin harshe tare da kayan aiki, ƙwaƙwalwar ajiya, gudanarwa na jihohi da aiwatar da matakai da yawa. Wannan ƙirƙira yana da mahimmanci saboda kowane Layer na iya rinjayar duka abin da wakili ya cim ma da albarkatun aiki da ake buƙata don ƙoƙarin wani aiki.

A cikin ma'auni na farko, OpenClaw ya sami cikakken aiki akan 31% na ayyuka, idan aka kwatanta da 25% na NanoBot. Bambanci-kashi shida-kashi ya kasance tare da tazarar ɗawainiya na 95% daga rage maki 3 zuwa kashi 15. Dangane da wannan tazara, marubutan sun ce babu wata fa'ida ta kididdigar da ta kayyade cikakkiyar amfani ga kowane tsarin.

Takardar ta kuma ba da rahoton ƙarin cikakkun bayanai na kayan aiki na abubuwan faɗakarwa. A cikin wannan Layer, duka tsarin sun cika cikar kashi 26% na faɗakarwa. NanoBot duk da haka ya kai aƙalla ƙarewar juzu'i akan 43% na faɗakarwa, idan aka kwatanta da 26% don OpenClaw, yana nuna cewa cikakken-cika-kawai ya ɓoye bambanci a sakamakon matsakaici a cikin wannan rukunin.

Ma'aunin albarkatu sun fi son NanoBot a cikin kwatancen da aka ruwaito. OpenClaw ya ɗauki tsawon lokaci akan 83% na faɗakarwa kuma ya yi rikodin ƙimar ƙwaƙwalwar ƙima akan kowane faɗakarwa. Takardar tana ba da ma'anar lissafi na 2.98 don lokacin bango da 19.44 don ƙwaƙwalwar ƙima. Daga cikin cikakkun bayanai-Layer mai faɗakarwa guda goma inda aƙalla tsarin ɗaya ya sami juzu'i ko cikakke, NanoBot ya yi nasara akan takwas. A duk faɗin 23 na faɗar, duk da haka, goma daga cikin shari'o'in rinjaye 18 sun kasance masu rahusa gazawar haɗin gwiwa, ma'ana ƙananan amfani da albarkatu ba koyaushe yana bin ci gaban aiki mai amfani ba.

Bayanan tushe: arxiv.org ↗

Me ya sa yake da mahimmanci

Takardar ta nuna dalilin da ya sa wakilin da ya kammala ayyuka kaɗan ba zai zama tsarin da ya fi dacewa ba idan yana cinye lokaci mai yawa ko ƙwaƙwalwar ajiya. Sakamakonsa kuma yana ba da shawarar cewa ƙaddamarwar ma'auni na iya canzawa lokacin da masu bincike suka bincika cikakkun bayanan kisa da kuma bambanta cikakken nasara, ci gaba da ɓarnawar haɗin gwiwa.

Gudunmawar ta tsakiya ita ce ƙa'idar kimantawa: iyawa da farashi yakamata a auna su tare kuma a ɗaure su da takamaiman kisa wanda ya haifar da kowane sakamako. Ga mutanen da ke zabar ko tura tsarin wakili, kashi na ƙarshe shi kaɗai na iya ɓoyewa ko tsarin yana da saurin isa, ingantaccen ƙwaƙwalwar ajiya ko kuma yana iya ci gaba da samun ci gaba mai fa'ida.

Sakamakon da aka ruwaito ya sa wannan cinikin ya zama cikas. Matsakaicin kammala matakin farko na 31% na OpenClaw ya kasance mafi ƙanƙanta sama da na NanoBot na 25%, kuma tazarar rashin tabbas bai tabbatar da abin dogaro ba. Amma duk da haka sakamakon kayan aiki yana nuna bambance-bambancen aiki mafi girma, tare da OpenClaw yana ɗaukar tsayi akan mafi yawan tsokaci da amfani da ƙarin ƙwaƙwalwar ƙima akan kowane faɗakarwa a cikin wancan kwatancen.

Bambance-bambancen tsakanin kammala juzu'i da gazawar haɗin gwiwa yana da mahimmanci musamman. Amfani da ƙananan albarkatu na NanoBot ya taimaka masa ya mamaye kwatancen da yawa, amma marubutan sun ce goma daga cikin 18 na rinjaye a duk faɗin 23 sun kasance masu rahusa gazawar haɗin gwiwa. Bai kamata a yi la'akari da tsarin da ya fi kyau ba saboda kawai ya gaza a ƙananan farashi; Dole ne a fassara ingancin albarkatun tare da inganci da fa'idar sakamakon.

Har ila yau, takardar ta ba da haske game da sake haifar da al'amuran da aka ba da lissafi. Idan ba'a haɗa makin ma'auni ba da matakan yunƙurin kisa da ƙimar ƙima, masu bincike da masu amfani za su iya kasa tantance ko sakamakon yana nuna cikakken nasara, ci gaba na ɓangarori, gazawar da aka raba ko ma'auni. Majiyar ta gabatar da wannan a matsayin dalili na yin bayanan kimantawa dalla-dalla, ba a matsayin shaida cewa kowane tsarin ya fi gabaɗaya ba.

Interactive Mechanism

Ingantacciyar hanyar sadarwa: Yadda A zahiri yake Aiki

Bincika fasahar da ke bayan wannan ci gaban ta hanyar mu'amala.

Agent Lifecycle Stage:
1
User Intent & Planning: "Audit customer refund request #4092 and settle payment."
2
Tool Calling: Emits structured JSON call crm_get_transaction(id='4092').
3
Guardrail & Verification:🛡️ Paused: High-value action requires human operator sign-off.
4
Final Settlement: Refund recorded, email receipt dispatched, and audit log stored.
Core takeaway: An AI agent is not just a language model—it is a closed loop of planning, tool invocation, and environment feedback. Production systems require self-healing retries and strict human approval guardrails.
Duba ra'ayi na hulɗa+10 Points
AI Agents Quiz

An agent must create a draft calendar event for Tuesday at 2 p.m. Which evidence would establish the requested result?

Abin kallo na gaba

Babban tambayoyin da ke biyo baya shine ko binciken ya kasance a cikin mafi girma da bambance-bambancen saiti na ɗawainiya, na'urori daban-daban da saitunan software, da sauran tsarin wakilai. Madogarar ba ta ba da waɗannan cikakkun bayanai a cikin taƙaitaccen bayani ba, don haka ya kamata a kula da rabon albarkatun da aka ruwaito a matsayin takamaiman nazari maimakon matsayi na duniya.

Tambayar nan da nan ita ce ko gibin da aka ruwaito a lokacin bango da ƙwaƙwalwar ajiyar kololuwa ta ci gaba fiye da faɗakarwar binciken da daidaitawar gwaji. Ƙididdigar ba ta bayyana ainihin abubuwan da aka haɗa na ɗawainiya ba, hardware, nau'ikan software, adadin maimaita gwaji ko tsarin aunawa. Waɗancan tsallake-tsallake suna iyakance yadda za a iya amfani da ma'auni na ƙididdiga.

Masu karatu kuma su sa ido don kimantawa waɗanda ke ba da rahoton fiye da jimillar maki ɗaya. Nazarin bin diddigin masu amfani zai raba cikakken kammalawa, kammala juzu'i da gazawar haɗin gwiwa; nuna sau nawa kowane tsarin ya yi nasara akan ingancin aiki; da buga bayanan kisa da ake buƙata don haɗa kowane sakamako zuwa amfani da albarkatu. Rashin jituwar rubutun da aka rubuta tsakanin sa na farko da na kayan aiki ya sanya wannan fifikon bincike mai amfani.

Ƙarshen marubutan hanya ce ta hanya maimakon shawarar samfur. Madogararsa baya tabbatar da cewa NanoBot shine mafi kyawun maƙasudin manufa gabaɗaya, ko kuma babban amfani da albarkatu na OpenClaw bai dace da kowane nauyin aiki ba. Ƙarin kwatancen da sauran tsarin wakili, za a buƙaci samfuri mafi girma da kwafi masu zaman kansu kafin a kula da binciken a matsayin babban kasuwa ko martabar injiniya.

Wani ma'anar da ba a sani ba shine yadda bayanan bayanan albarkatun tsarin ke hulɗa tare da wahalar aiki da amfani da kayan aiki. Abstract ɗin yana ba da rahoton haɗaɗɗun ma'auni da kwatancen matakin gaggawa amma baya gano irin nau'ikan ayyuka ne suka haifar da bambance-bambance mafi girma. Wannan bayanin zai taimaka wajen tantance ko sakamakon ya yi nuni da mallakar tsarin gaba ɗaya ko wani tsari na musamman ga aikin da aka kimanta. Har sai lokacin, mafi ƙarfi goyon bayan ɗaukar hoto shine kimantawar wakili yakamata ya ba da rahoton ingantattun sakamako tare da amfani da albarkatu da aka lura da kuma ƙima.

Jagorori masu alaƙa & tambayoyin tambayoyi

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An sami wannan yana da amfani?