Menlo: Ukwakha iingqondo ze-AI zexesha leerobhothi ezifana nabantu – Uphononongo olupheleleyo.
#Menlo #Web3 #Crypto
I-Menlo (eboniswe kwi-Quasa.io/projects/menlo) liqonga le-AI elisebenzisa obona buchwepheshe butsha, elakha iingqondo zexesha leerobhothi ezifana nabantu.
Esi sisombululo sitsha sivela kwi-Menlo.ai (menlo.ai) sibonelela ngeenkqubo eziphambili zobukrelekrele obufakwe emizimbeni yeerobhothi, ezenza iirobhothi ezifana nabantu zesizukulwana esilandelayo zikwazi ukuqiqa njengabantu, ukwenza izigqibo ngexesha lokwenene, nokuziphatha okuziqhelanisa neemeko — nto leyo evumela iirobhothi ukuba zisebenze ngokukhuselekileyo nangobukrelekrele kwiindawo zehlabathi lokwenene eziguquguqukayo, ngoxa zigqitha isoftware endala yeerobhothi ne-AI esetyenziselwa iinjongo ezahlukeneyo ekuqondeni ihlabathi eliphathekayo, kukhuseleko, nakucwangciso lwexesha elide.
Eyona nto iphambili kwi-Menlo kukudala iingqondo ze-AI “ezikumgangatho we-Asimov” ezidibanisa ukuqonda ngolwazi oluvela kwiintlobo ezahlukeneyo zezivamvo, ukwakha iimodeli zehlabathi, nokucwangcisa ngokwamanqanaba. Iimpawu eziphambili ziquka ukuqonda iindawo ezikwi-3D nokusebenzisana nezinto ngexesha lokwenene, inkumbulo yexesha elide nokugcina umxholo xa kutshintshwa imisebenzi, ukulandela imiyalelo yolwimi lwabantu ngokuyinxulumanisa nehlabathi eliphathekayo, ukucwangcisa iintshukumo ezikhuselekileyo nokuphepha ukungqubana kuthathelwa ingqalelo abantu, ukufunda okuziqhelanisa neemeko ngemiboniso nangengxelo, ukulungelelaniswa kweerobhothi ezininzi, ukudluliselwa koko kufundwe kukulinganisa kuye kwihlabathi lokwenene (Sim2Real), kunye nemigangatho yokhuseleko nokuthotyelwa kwemimiselo elungele amashishini (ISO 10218, imigangatho ye-ANSI/RIA). Ixhasa amaqonga aphambili eerobhothi ezifana nabantu (Figure, Boston Dynamics Atlas, Agility, Tesla Optimus, njalo njalo) ngee-API ezakhiwe ngeemodyuli, kwaye ibonelela ngeseti epheleleyo yezixhobo zophuhliso zokuqeqesha, ukuvavanya nokusebenzisa iindlela zokuziphatha zeerobhothi ngomlinganiselo omkhulu.
Ifaneleka kakhulu kubavelisi beerobhothi, iinkampani zeemoto nezothutho nokuhanjiswa kwempahla, iindawo zokugcina impahla, amaziko okunyamekela abantu abadala, iilebhu zophando, namashishini asebenzisa amaqela eerobhothi ezifana nabantu—isenza ngokuzimeleyo imisebenzi entsonkothileyo enjengokuchola izinto kwiindawo zokugcina impahla, ukuncedisa emakhaya, ukudibanisa izinto kwiifektri, ukuphinda kugcwaliswe iimpahla ezithengiswayo, neenkqubo zomsebenzi apho abantu neerobhothi basebenzisana khona.
Amandla ayo aphambili asekukwazini ukusebenza ngokuthembekileyo kwihlabathi lokwenene nakukhuseleko: Iingqondo ze-Menlo zifikelela kumazinga empumelelo aphezulu kakhulu kwiindawo ezingalungelelaniswanga kuneenkqubo zolawulo zemveli, zinciphisa kakhulu ixesha lokuqalisa ukusetyenziswa, kwaye zenza iirobhothi zikwazi ukufunda izakhono ezitsha ngeentsuku endaweni yeenyanga. Uphuculo lwamva nje luka-2026 (olwakhela kwisiseko se-Asimov) luzisa iimodyuli eziphambili zobukrelekrele beemvakalelo nobentlalo, ucwangciso lobuchule lwexesha elide ngakumbi, ukudityaniswa okwakhelwe ngaphakathi kolwazi lweentlobo ezahlukeneyo zezivamvo (ukubona + ukuchukumisa + isandi), iinkqubo ze-Sim2Real ezikhawulezayo, nolawulo olungenamagingxigingxi lwamaqela eerobhothi—nto leyo eyenza ukusetyenziswa kweerobhothi ezifana nabantu ngomlinganiselo omkhulu kube nokwenzeka ngokorhwebo okokuqala.
Abasebenzisi namaqabane bayayincoma kakhulu impembelelo yayo:
- “I-Menlo yatshintsha iiprototype zethu zeerobhothi ezifana nabantu ukusuka ekubeni ziimodeli ezibonisa ukusebenza ngobugwegwe zaba ngabasebenzi esinokubathemba ngobusuku nje obunye — amacandelo okuqiqa nokhuseleko akanakuthelekiswa nanto” (INtloko yeCandelo leeRobhothi, inkampani enkulu yezothutho nokuhanjiswa kwempahla, USA).
- “Siqalise ukusebenzisa iqela leyeeyunithi ezingama-50 kwindawo yethu yokugcina impahla ngeeveki endaweni yeminyaka ngenxa yeengqondo ze-Menlo eziziqhelanisa neemeko” (UMlawuli woKwenziwa kweMisebenzi ngoMatshini, umvelisi wase-EU).
- “Ukuqonda ulwimi lwabantu nobuchule bokufunda kuvakala ngathi yintsomi yenzululwazi — iirobhothi zethu ngoku zisebenzisana nabantu ngokwenene” (CTO, inkampani esaqalayo yeerobhothi ezifana nabantu, AU).
Inamandla ngokukhethekileyo ekukhawuleziseni inguqu yeerobhothi ezifana nabantu, ekunciphiseni umthwalo owongezelelweyo wobunjineli, ekuqinisekiseni ukuthotyelwa kwemimiselo zisuka nje, nasekudaleni iirobhothi eziluncedo ngokwenene ezandisa amandla abasebenzi abangabantu endaweni yokubathathela indawo.
Iintsilelo: Iilayisenisi zamashishini zibiza kakhulu kwaye amaxabiso azo acatshulwa ngokweemfuno zenkampani nganye (zifaneleka kakhulu kwiinkampani esele zisebenzisa okanye ziphuhlisa iirobhothi ezifana nabantu); ukulungiselela ngokupheleleyo iimfuno ezithile nokuhlengahlengisa ngokuchanekileyo kufuna ubungcali beerobhothi; iindawo zokulinganisa zisafuna imifuziselo yedijithali ekumgangatho ophezulu efana ncam nezinto zokwenene; iimeko ezingaqhelekanga zehlabathi lokwenene (ukukhanya okugqithisileyo, izinto ezingazange zibonwe ngaphambili) zisenokufuna uqeqesho olongezelelweyo; kwaye nangona inobuchule obukhulu kakhulu, imida yamalungu aphathekayo eerobhothi ngokwazo isengowona mqobo uphambili. Izibonelelo ezinjengamaxwebhu obugcisa, izixhobo zokulinganisa, iinkqubo zamaqabane, nenkxaso yobunjineli ezinikeleyo zigqwesile, nangona indlela elula ngakumbi yokungenisa amaqela angenabuchule beerobhothi ekusebenziseni iqonga ingaba luncedo.
Lilonke, kwimibutho ezimisele ukusebenzisa iirobhothi ezifana nabantu ezikrelekrele, ezikhuselekileyo nezinokwandiswa ngomlinganiselo, i-Menlo ibonelela ngobukrelekrele be-AI obufakwe emizimbeni yeerobhothi, isantya sokuqalisa ukusetyenziswa, nokusebenza kwihlabathi lokwenene okungenakuthelekiswa nanto ngezi “ngqondo zayo zenkulungwane yeerobhothi ezifana nabantu” ezakhelwe loo njongo ngokukhethekileyo.
Iqonga elinamandla exesha leerobhothi ezikrelekrele — fumana nomvuzo we-1 QUA nge-Quasa!
Iinkwenkwezi eziyi-4.8/5 (igqwesile ekuqiqeni kwihlabathi lokwenene, kukhuseleko, nasekulungeleni ukuqalisa ukusetyenziswa; amanqaku ehle kancinane ngenxa yamaxabiso amashishini nokuxhomekeka kumalungu aphathekayo).
Qalisa: https://quasa.io/projects/menlo
Ukuba ukuphosile
Replit: Inguqu kwi-IDE eseLifini – Yakha uze Upapashe ii-App ngeMizuzu – Uphononongo Olupheleleyo.
Codingame: Guqula ukuFunda nokuQesha zibe yiMidlalo yokuBhala iKhowudi eTsala Kakhulu – Amagqabantshintshi.
Cursor: Khupha ikhowudi ngokukhawuleza nge-2–5× ngokuhlela okukrelekrele kwe-Cursor – Ulwazi olunzulu.
Mercor: Inguqu kwezeTalente Exhaswa yi-AI – Ukuqesha Ngokukhawuleza Ngama-80% – Uphononongo Olupheleleyo.
Luma AI: Yandisa ukuveliswa komxholo obonwayo ngomlingo we-AI – Iimbono.
n8n: Inguquko ekwenzeni imisebenzi ye-AI izenzekele ngeqonga elinekhowudi evulekileyo – Uphononongo olupheleleyo.
Leena AI: Umncedisi okrelekrele we-HR/IT/nezemali wamaqela ehlabathi – Isishwankathelo.
Flowise: Iqonga eliBonakalayo elineKhowudi eNcinci neKhowudi yoMthombo eVulekileyo lee-Arhente ze-AI ne-RAG – Uphononongo oluBanzi.
Thingiverse: Elona Thala Leencwadi Likhulu Ehlabathini Leemodeli Ze-3D Zasimahla – Amagqabantshintshi.
Lara Translate: Uguqulelo Lwangoko Oluqonda Umxholo Weempawu Zorhwebo Zehlabathi – Amagqabantshintshi.
Udio: Iingoma Ezivakala Ngokwenene Ezivela Kwimiyalelo Yesicatshulwa – Amagqabantshintshi.
Lovart: Yenza Amaphulo Apheleleyo Ngokuzenzekelayo Ukusuka Kwilogo Ukuya Kwividiyo – Isishwankathelo.
Proton: Uluhlu Lwezixhobo Ezifihliweyo Ukususela Kwisiphelo Ukuya Kwesinye Zobomi Bedijithali Obukhuselekileyo – Isishwankathelo.
Passes: Lawula abaphulaphuli bakho nge-90% oyigcinayo neteknoloji ethintela ukuvuza – Amagqabantshintshi.
Fansly: Elona Qonga Libeka Abayili Bomxholo Kuqala – Uphononongo Olubanzi.
Pika: Iividiyo ze-AI Ezikhawulezayo Nezivakalisa Iimvakalelo Zabadali Nabathengisi – Isikhokelo.
Creator Science: Zama imifuniselo ukuze uphumelele ngokuzinzileyo njengomdali womxholo – Isishwankathelo sika-2026.
Composite: Umqhubi Ozenzekelayo Wayo Nayiphi na Iwebhusayithi Oxhaswa yi-AI ngo-2026 – Isikhokelo Sengcali.
Xona: Esona sixhobo se-AI sigqwesileyo sokuhombisa amagumbi ngedijithali nokunye – Isikhokelo.
Promptessor: Vavanya uze Uphucule Imiyalelo Ukuze Ufumane Iziphumo ze-AI Ezingcono nge-50% – Isishwankathelo.
Star Method Coach: Gqwesa kudliwano-ndlebe lokuvavanya indlela oziphatha ngayo nge-AI – Uphononongo olupheleleyo.
Adkit: Inguqu Ekwenzeni Iintengiso Nge-AI Nakwisixhobo Sokuhlola Abakhuphisana Nawe – Uphononongo Olupheleleyo
Vizcom: Ukuguqula imizobo ibe yimifanekiso ye-3D ngoko nangoko kubayili
