Menlo: Ukwakha Ubuchopho be-AI Besikhathi Samarobhothi Alesimo Somuntu – Ukuhlola Okugcweleyo.

#Menlo #Web3 #Crypto

I-Menlo (evezwe ku-Quasa.io/projects/menlo) yinkundla ye-AI ethuthuke kakhulu eyakha ubuchopho besikhathi samarobhothi alesimo somuntu.

Lesi sixazululo esiletha inguquko esivela ku-Menlo.ai (menlo.ai) sinikeza izinhlelo ezithuthukileyo zobuhlakani obusebenza emizimbeni yamarobhothi, ezenza amarobhothi alesimo somuntu esizukulwane esilandelayo akwazi ukucabangisisa njengabantu, ukwenza izinqumo ngesikhathi okwenzeka ngaso izinto, lokuguqula indlela aziphatha ngayo ukuze ihambelane lezimo — okwenza amarobhothi asebenze ngokuphepha langobuhlakani ezindaweni zomhlaba wangempela ezilokhu ziguquka, ngasikhathi sinye edlula isofthiwe yamarobhothi yakudala le-AI eyenzelwe imisebenzi eyehlukeneyo ekuqondeni umhlaba ophathekayo, ekuphepheni, lasekuhleleni okwesikhathi eside.

Okuyinsika ye-Menlo yikwakha ubuchopho be-AI &ldquo obusezingeni le-Asimov” obuhlanganisa ukuqonda okuvela emithonjeni yolwazi eyehlukeneyo, ukwakha imifanekiso yomhlaba, lokuhlela ngamazinga alandelanayo. Izici eziqakathekileyo zigoqela ukuqonda izindawo nge-3D lokusebenzelana lezinto ngesikhathi okwenzeka ngaso izinto, inkumbulo yesikhathi eside lokugcina ulwazi lwesimo lapho kusetshenzwa imisebenzi eyehlukeneyo, ukulandela imiyalo yolimi olujayelekileyo ngokuyixhumanisa lezinto lezenzo eziphathekayo, ukuhlela ukunyakaza okuphephileyo ngokunanzelela abantu ukuze kugwenywe ukutshayisana, ukufunda okuguquka kuhambelane lezimo kusetshenziswa ukutshengiswa lezenzo lemibiko yokulungileyo lokumele kulungiswe, ukuhlanganisa ukusebenza kwamarobhothi amanengi, ukudlulisa okufundwe ekulingiseleni kukhompyutha kuyiswe emhlabeni wangempela (Sim2Real), kanye lezingxenye zokuphepha lokulandela izimiso ezisezingeni elifunwa ngamabhizimusi amakhulu (ISO 10218, izimiso ze-ANSI/RIA). Isekela izinkundla zamarobhothi alesimo somuntu ezinkulu (Figure, Boston Dynamics Atlas, Agility, Tesla Optimus, lezinye) ngama-API alezingxenye ezizimeleyo, njalo inikeza iqoqo eligcweleyo lamathuluzi okuthuthukisa elokufundisa, ukuhlola, lokuqalisa ukusebenza kwezindlela amarobhothi aziphatha ngazo ngobunengi.

Ifanele kakhulu abakhiqizi bamarobhothi, izinkampani zezimota lezokuhambisa lokugcina impahla, izindawo zokugcina impahla, izikhungo zokunakekela asebekhulile, amalabhorethri okucwaninga, lamabhizimusi amakhulu aqalisa ukusebenzisa amaqembu amarobhothi alesimo somuntu—isenza ngokuzimela imisebenzi enzima enjengokukhetha lokuthatha impahla ezindaweni zokuyigcina, ukuncedisa emakhaya, ukuhlanganisa imikhiqizo emafekithri, ukugcwalisa impahla ezitolo, lokuqhuba imisebenzi lapho abantu lamarobhothi besebenza ndawonye.

Amandla ayo amakhulu asekusebenzeni kwayo ngokuthembeka lasekuphepheni emhlabeni wangempela: Ubuchopho be-Menlo bufinyelela amazinga okuphumelela aphezulu kakhulu ezindaweni ezingahlelwanga ukwedlula izinhlelo zokulawula ezijayelekileyo, bunciphisa kakhulu isikhathi sokuqalisa ukusebenza, njalo benze amarobhothi afunde amakhono amatsha ngezinsuku esikhundleni sezinyanga. Ukuthuthukiswa kwakamuva kuka-2026 (okwakhela phezu kwesisekelo se-Asimov) kwethula izingxenye ezithuthukileyo zobuhlakani bokuqonda imizwa lokusebenzelana labantu, ukuhlela amasu esikhathi eside kakhulu, ukuhlanganiswa kolwazi lwezinzwa eziletha ulwazi ngezindlela ezehlukeneyo okwakhelwe phakathi kohlelo (ukubona + ukuthinta + umsindo), izinqubo ze-Sim2Real eziphanga kakhulu, lokuqondiswa kwamaqembu amarobhothi okusebenza ngokushelela—okwenza ukuqaliswa kokusetshenziswa kwamarobhothi alesimo somuntu ngobunengi kube lokwenzeka ngokwebhizimusi okokuqala.

Abasebenzisi lababambisene layo bayincoma kakhulu ngenxa yenguquko eyilethayo:

  • “I-Menlo yaguqula amarobhothi ethu okuqala okuhlola alesimo somuntu asuka ekubeni yimishini etshengisa ukusebenza ngokungaqeqetsheki aba ngabasebenza lathi abathembekileyo ngobusuku obubodwa — izingxenye zokucabangisisa lezokuphepha kazilakulinganiswa” (Inhloko Yezamarobhothi, inkampani enkulu yezokuhambisa lokugcina impahla, USA).
  • “Saqalisa ukusebenzisa iqembu lamarobhothi angu-50 endaweni yethu yokugcina impahla ngamaviki esikhundleni seminyaka ngenxa yobuchopho be-Menlo obuguquka buhambelane lezimo” (Umqondisi Wokwenziwa Kwemisebenzi Ngemishini Ezisebenzelayo, umkhiqizi we-EU).
  • “Ukuqonda ulimi olujayelekileyo lekhono lokufunda kuzwakala njengenganekwane zesayensi — amarobhothi ethu khathesi asebenza labantu ndawonye sibili” (CTO, ibhizimusi elitsha lamarobhothi alesimo somuntu, AU).

Ilamandla ikakhulu ekuphuthumiseni inguquko yamarobhothi alesimo somuntu, ekunciphiseni izindleko lomsebenzi wobunjiniyela owengezelelweyo, ekuqinisekiseni ukulandelwa kwemithetho kusukela ekuqaleni kokusetshenziswa, lasekwakheni amarobhothi alusizo sibili angezelela amandla ezisebenzi ezingabantu kulokuthatha indawo yazo.

Okungahambi kuhle: Ilayisensi yamabhizimusi amakhulu iyadula njalo intengo ibalwa ngokwezidingo zenkampani ngayinye (ifanele kakhulu izinkampani eseziqalisa ukusebenzisa kumbe ezithuthukisa amarobhothi alesimo somuntu); ukulungiswa okugcweleyo ngokwezidingo lokucutshungulwa kokusebenza kudinga ubungcitshi kwezamarobhothi; izindawo zokulingisela kukhompyutha zilokhu zidinga imifanekiso yedijithali yezinto zangempela esezingeni eliphezulu; izimo ezingajayelekanga emhlabeni wangempela (ukukhanya okwedlulele, izinto ezingakaze zihlangatshezwe) zingadinga ukufundiswa okwengezelelweyo; njalo lanxa ilamandla amakhulu kakhulu, imikhawulo yezingxenye eziphathekayo zamarobhothi ngokwawo ilokhu iyiyo evalela ukusebenza ekucineni. Izinsiza ezinjengemibhalo yezobuchwepheshe, amathuluzi okulingisela kukhompyutha, izinhlelo zababambisene layo, lokusekelwa ngobunjiniyela okwabelwe abasebenzisi zinhle kakhulu, lanxa indlela elula yabaqalayo yokuqalisa ukusebenzisa elungiselelwe amaqembu angelabungcitshi kwezamarobhothi ingaba lusizo.

Sekukonke, ezinhlanganisweni ezizimisele ukuqala ukusebenzisa amarobhothi alesimo somuntu ahlakaniphileyo, aphephileyo, njalo angandiswa ngobunengi, i-Menlo inikeza ubuhlakani be-AI obusebenza emzimbeni werobhothi obungelakulinganiswa, isivinini sokuqalisa ukusebenza, lokusebenza emhlabeni wangempela ngobuchopho bayo obakhelwe ngokukhethekileyo ukuba “ubuchopho bekhulu leminyaka lamarobhothi alesimo somuntu.”

Umthombo wamandla amakhulu wesikhathi samarobhothi ahlakaniphileyo — thola lomvuzo we-1 QUA nge-Quasa!  

Izinkanyezi ezingu-4.8/5 (inhle kakhulu ekucabangisiseni emhlabeni wangempela, ekuphepheni, lasekulungeleni ukuqalisa ukusebenza; ukwehla okuncane ngenxa yentengo yamabhizimusi amakhulu lokuncika ezingxenyeni eziphathekayo zemishini).

Qalisa: https://quasa.io/projects/menlo

Okungaba kukwedlulile

Replit: Inguquko ku-IDE Esemafwini – Yakha Uphinde Wethule Ama-app Ngemizuzu – Ukuhlola Okugcweleyo.

Replit: Inguquko ku-IDE Esemafwini – Yakha Uphinde Wethule Ama-app Ngemizuzu – Ukuhlola Okugcweleyo.

Codingame: Guqula Ukufunda Lokuqhatsha Kube Yimidlalo Yokubhala Ikhodi Engakuthumba Ingqondo – Isifinyezo.

Codingame: Guqula Ukufunda Lokuqhatsha Kube Yimidlalo Yokubhala Ikhodi Engakuthumba Ingqondo – Isifinyezo.

Cursor: Khupha ikhodi masinyane ngokuphindwe 2–5× ngokuhlela okuhlakaniphileyo kwe-Cursor – Imibono.

Cursor: Khupha ikhodi masinyane ngokuphindwe 2–5× ngokuhlela okuhlakaniphileyo kwe-Cursor – Imibono.

Mercor: Inguquko Yamathalenta Eqhutshwa yi-AI – Ukuqhatsha Ngesivinini Esengezwe ngo-80% – Ukuhlola Okugcweleyo.

Mercor: Inguquko Yamathalenta Eqhutshwa yi-AI – Ukuqhatsha Ngesivinini Esengezwe ngo-80% – Ukuhlola Okugcweleyo.

Luma AI: Khulisa Ukwenziwa Kokuqukethwe Okubonakalayo Ngomlingo we-AI – Imibono.

Luma AI: Khulisa Ukwenziwa Kokuqukethwe Okubonakalayo Ngomlingo we-AI – Imibono.

n8n: Inguquko Yokwenza Imisebenzi Ye-AI Izenzakalele Ngekhodi Evulekileyo – Ukuhlola Okugcweleyo.

n8n: Inguquko Yokwenza Imisebenzi Ye-AI Izenzakalele Ngekhodi Evulekileyo – Ukuhlola Okugcweleyo.

Leena AI: Umsizi Ohlakaniphileyo we-HR/IT/Wezezimali Wamaqembu Omhlaba Wonke – Isingeniso.

Leena AI: Umsizi Ohlakaniphileyo we-HR/IT/Wezezimali Wamaqembu Omhlaba Wonke – Isingeniso.

Flowise: Inkundla Elomthombo Ovulekileyo Yokwakha Ama-ejenti e-AI le-RAG Ngokubonakalayo Ngekhodi Encane – Ukuhlola Okupheleleyo.

Flowise: Inkundla Elomthombo Ovulekileyo Yokwakha Ama-ejenti e-AI le-RAG Ngokubonakalayo Ngekhodi Encane – Ukuhlola Okupheleleyo.

Thingiverse: Ilayibhulali Enkulu Kulazo Zonke Emhlabeni Yamamodeli e-3D Amahhala – Isifinyezo.

Thingiverse: Ilayibhulali Enkulu Kulazo Zonke Emhlabeni Yamamodeli e-3D Amahhala – Isifinyezo.

Lara Translate: Ukuhumutsha Masinyane Okuqaphela Umongo Kwemikhiqizo Yomhlaba Wonke – Ukubuka Ngokubanzi.

Lara Translate: Ukuhumutsha Masinyane Okuqaphela Umongo Kwemikhiqizo Yomhlaba Wonke – Ukubuka Ngokubanzi.

Udio: Izingoma Ezizwakala Njengezangempela Ezivela Eziqondisweni Ezibhaliweyo – Isifinyezo.

Udio: Izingoma Ezizwakala Njengezangempela Ezivela Eziqondisweni Ezibhaliweyo – Isifinyezo.

Lovart: Yenza Imikhankaso Epheleleyo Ngokuzenzakalela Kusukela Kulogo Kusiya Kuvidiyo – Uhlolojikelele.

Lovart: Yenza Imikhankaso Epheleleyo Ngokuzenzakalela Kusukela Kulogo Kusiya Kuvidiyo – Uhlolojikelele.

Proton: Iqoqo Lamathuluzi Abethelwe Kusukela Ekuqaleni Kusiya Ekucineni Ukuze Uphile Uphephile Kwezidijithali – Isingeniso.

Proton: Iqoqo Lamathuluzi Abethelwe Kusukela Ekuqaleni Kusiya Ekucineni Ukuze Uphile Uphephile Kwezidijithali – Isingeniso.

Passes: Yiba Ngumnikazi Wezethameli Zakho, Ugcine 90% NgeThekhinoloji Evimba Ukuvuza Kokuqukethwe – Isifinqo.

Passes: Yiba Ngumnikazi Wezethameli Zakho, Ugcine 90% NgeThekhinoloji Evimba Ukuvuza Kokuqukethwe – Isifinqo.

Fansly: Inkundla Ebeka Abasunguli Bokuqukethwe Kuqala – Ukuhlolwa Okupheleleyo.

Fansly: Inkundla Ebeka Abasunguli Bokuqukethwe Kuqala – Ukuhlolwa Okupheleleyo.

Pika: Amavidiyo e-AI Aveza Imizwa Masinyane Abadali Labakhangisi – Umhlahlandlela.

Pika: Amavidiyo e-AI Aveza Imizwa Masinyane Abadali Labakhangisi – Umhlahlandlela.

Creator Science: Finyelela Impumelelo Eqhubekayo Njengomdali Ngokwenza Izilingo – Uhlolojikelele luka-2026.

Creator Science: Finyelela Impumelelo Eqhubekayo Njengomdali Ngokwenza Izilingo – Uhlolojikelele luka-2026.

Composite: Umtshayeli Ozenzelayo Osebenzisa i-AI Wayo Yonke Iwebhusayithi ngo-2026 – Umhlahlandlela Wengcwethi.

Composite: Umtshayeli Ozenzelayo Osebenzisa i-AI Wayo Yonke Iwebhusayithi ngo-2026 – Umhlahlandlela Wengcwethi.

Xona: Ithuluzi le-AI Eliphambili Lokuhlobisa Izindlu Ngedijithali Lokunye – Umhlahlandlela.

Xona: Ithuluzi le-AI Eliphambili Lokuhlobisa Izindlu Ngedijithali Lokunye – Umhlahlandlela.

Promptessor: Linganisa Uthuthukise Imiyalo Ukuze Uthole Imiphumela ye-AI Engcono ngo-50% – Isifinyezo.

Promptessor: Linganisa Uthuthukise Imiyalo Ukuze Uthole Imiphumela ye-AI Engcono ngo-50% – Isifinyezo.

Star Method Coach: Zilungiselele Izingxoxo Zokuqhatshwa Ezihlola Indlela Owenza Ngayo usebenzisa i-AI – Ukuhlola Okugcweleyo.

Star Method Coach: Zilungiselele Izingxoxo Zokuqhatshwa Ezihlola Indlela Owenza Ngayo usebenzisa i-AI – Ukuhlola Okugcweleyo.

Adkit: Inguquko Ekudaleni Izikhangiso nge-AI Lethuluzi Lokuhlola Izimbangi – Ukuhlolwa Okugcweleyo

Adkit: Inguquko Ekudaleni Izikhangiso nge-AI Lethuluzi Lokuhlola Izimbangi – Ukuhlolwa Okugcweleyo

Vizcom: Ukuguqula Imidwebo Ibe Yizithombe ze-3D Masinyane Kwabasunguli

Vizcom: Ukuguqula Imidwebo Ibe Yizithombe ze-3D Masinyane Kwabasunguli

DataSquirrel: Ukuguqula Ukuhlaziywa Kwedatha Okuqhutshwa yi-AI Kwabangelalwazi Lobuchwepheshe. Ukuhlola Okupheleleyo.

DataSquirrel: Ukuguqula Ukuhlaziywa Kwedatha Okuqhutshwa yi-AI Kwabangelalwazi Lobuchwepheshe. Ukuhlola Okupheleleyo.