Ukubalwa kwesayensi nge-agentic AI kuthathe isinyathelo esibonakalayo phambili ngoLwesibili lapho i-OpenAI ishicilela khona umbiko wasensimini okhombisa ukuthi abacwaningi basebenzise ama-AI Coding Agents ukucindezela umsebenzi wesofthiwe wesayensi wezinyanga ube yizinsuku.
Lo mbiko uchaza ukufakwa kwangempela ku-genomics nakwezinye izindawo ezibanzi ze-computational biology, lapho imisebenzi eyayithatha izinyanga eziyi-18 ngaphambilini yaqedwa cishe ngesonto.
I-OpenAI ikubeka njengobufakazi bokuthi i-agentic AI isivele iguqula indlela okwenzeka ngayo ukutholwa (discovery), hhayi njengethembiso lekusasa kodwa njengamandla akhona manje asetshenziswa ngenkuthalo.
Ukubalwa KweSayensi Nge-Agentic AI: Yini Eyangempela Etholwe Embikweni we-OpenAI
Ukubalwa kwesayensi okusebenzisa i-agentic AI yikho okukhulunywa ngakho okuyisihloko esiyinhloko sombiko, futhi okutholakele kunemininingwane. Ososayensi abasebenza kuma-genomics pipelines basebenzise ama-AI Coding Agents ukwenza imisebenzi yesoftware yesayensi endala ibe yesimanje ngesivinini esasingenakwenzeka eminyakeni emibili edlule.
Icala elilodwa elichazwe embikweni laliwumzamo wesimodernizingi yesofthiwe okwakulindeleke ukuthi udinge izinyanga eziyi-18 zobunjiniyela. Nge-AI Coding Agents, lo msebenzi ofanayo wenziwa ngesonto.
Izinga lokucindezela, cishe elingu-90%, akusona isiphumo sokubhala ikhodi ngokushesha.
Kubonisa uhlobo lomsebenzi oluhluke ngokuphelele. Ama-AI agents awazange nje agcwalise imigqa ngokuzenzakalelayo.
Bafunda i-codebase ekhona, babona ukuthi iyiphi engase iphelelwe yisikhathi, baphakamisa ukubhala kabusha, bahlola okukhiphayo, bese beyaphinda betshala, konke ngokuncane kakhulu ukungenelela kwabantu phakathi kwezinyathelo. Ososayensi baqondisa ama-agent emigomeni kunokuba bachaze isinyathelo ngasinye.
Yilokho okuhlukanisa i-AI agent kumasizi wokuhlela ojwayelekile.
I-copilot iphakamisa umugqa olandelayo wekhodi. I-agent ihlela umsebenzi wezinyathelo eziningi, iwusebenzise phakathi kweseshini, ibheka imiphumela yayo, bese iyalungisa uma imiphumela ingaphandle kwamabanga alindelekile.
Umbiko we-OpenAI ungomunye wemibiko esobala kakhulu yomphakathi echaza ukuthi lokho kubukeka kanjani empeleni esikhungweni socwaningo.
Kungani I-Genomics Kuyindawo Ama-AI Coding Agents Asizakale Okokuqala Kakhulu
I-Genomics iyindawo elula yokuhlola i-agentic AI ngenxa yesizathu sesakhiwo. Lo mkhakha usebenzisa i-software endala (legacy), eminye yayo iyiminyaka engamashumi amabili kuya ngaphezulu, ebhalwe ngezilimi ezifana ne-Fortran ne-C ngososayensi ababeqhakambisa ukunemba (correctness) kunokunakekelwa (maintainability). Lelo sikweletu liyakhula. Ukwenza i-genomics pipeline ibe sesimodernini ngokuvamile kudinga onjiniyela abaqonda kokubili ibhayoloji nesakhiwo sesofthiwe (software architecture).
Lokho kuhlanganiswa kuyivelakancane futhi kuyabiza.
Ama-AI Coding Agents ayagwema inkinga yokushoda. Angafunda imibhalo (documentation) ngezilimi eziningi zokuhlela, aqonde ukuphawula kwesayensi okufakwe kukhodi endala, futhi akhiqize izindlela zesimanje ngaphandle kokudinga iminyaka yokuqeqeshwa kokuqonda imikhakha.
I-bottleneck iyashintsha isuke ekutholeni unjiniyela ofanele iye ekutholeni ukucaciswa komgomo (goal specification) ofanele. Lo ngumsebenzi olula kakhulu ukuwuxazulula.
Funda Okulandelayo: Ukuhlasela kwe-Crypto Wrench Kufinyelela Amacala angama-52 Ezinyangeni Eziyisithupha, Aningi Kakhulu AseFrance
Umbiko we-OpenAI uphinde uthinte ukusheshisa ukutholwa ngaphezu kokwenza i-software ibe sesimodernini. Ama-agent asebenza ngokushesha—ngekhodi esheshayo, kuma-pipeline ahlanzeke kakhudlwana, nangamadatha amakhulu—akhiqiza imiphumela ngokushesha. Ku-genomics, imiphumela esheshayo isho ukutholwa ngaphambi kwesikhathi kokuhlukahluka kofuzo (genetic variants), ukuqinisekiswa okusheshayo kwethagethi yemithi, nezikhathi ezimfushane ukusuka ku-hypothesis kuya ekuqinisekiseni okwenziwa elabhoratri.
Ubuqotho besivinini buyaqhubeka (buyandile).
Ukuthi Isixwayiso sikaSam Altman Sihlala Kanjani Ngokumelene Nalesi Sivinini
Ingxelo ye-OpenAI ifika ngosuku olufanayo nalapho uMlawuli we-OpenAI uSam Altman etshela i-TechCrunch ukuba inkampani ingadinga ukuthi “isheshise izinga lentuthuko ye-AI ukuze umhlaba ulungele yona.” Lokhu ukungezwani kuyenzeka ngempela futhi kufanelekile ukukubiza.
Inkampani eshicilela ubufakazi ngesikhathi esisodwa bokuthi ama-AI Coding Agents ayo acindezela amaphrojekthi esayensi wezinyanga eziyi-18 abe yisonto, futhi ngesikhathi esifanayo iphakamisa ukuthi umhlaba kungenzeka ungakalungeli okuzolandela, ayihambisani (akuphikisi).
Kuchaza isimo esifanayo ngezindlela ezimbili.
Umbiko wasensimini ukhombisa ikhono. Amazwi ka-Altman avuma ukuthi lokhu kunomphumela.
Zombili zilungile. Umbuzo ongakaqedwa wukuthi amandla okusheshisa (pace-setting power) atholakala kuphi ngempela—kuma-labs, kubalawuli, noma kubacwaningi abase sebevele basebenzisa la ma-agent ngaphakathi kwama-genomics pipelines aphilayo.
Kusuka Ekuthandaneni Kobucwaningi Kuya Ku-Infrastructure Yesayensi
Iphethini ebanzi lapha ukuthi ama-AI Coding Agents ekubalweni kwesayensi awasekalinganiswa nje, asebezisetshenziswa (deployed).
Umbiko we-OpenAI uwumbiko wasensimini, hhayi iphepha locwaningo. Lokho kwehluka kubalulekile.
Iphepha locwaningo lichaza ukuthi yini okungenzeka ngaphansi kwezimo ezilawulwayo. Umbiko wasensimini uveza okwenzeka lapho ososayensi bangempela besebenzisa amathuluzi angempela ezinkingeni zangempela futhi balinganisa umphumela.
Ngokomlando, ukubalwa kwesayensi bekukade kunciphile ekwamukeleni amathuluzi amasha uma kuqhathaniswa nesofthiwe yabathengi.
Ukucindezela okungamaviki angama-18 kuya emasontweni angu-1 okuchazwe embikweni we-OpenAI kusikisela ukuthi lelo gwanxa liyavaleka ngokushesha kunalokho izikhungo eziningi ebezihlele ukukwenza. Amalabhorethri namanyuvesi okungakabi awahlolisisa amakhodi awo asalele (legacy) ukuze abe sesimodernini esisekelwa ama-agent abese manje ebonakala ehluleka kancane kunoontanga abase bevivinye.
Icala le-genomics nalo alihlukile ku-bioloji kuphela.
I-chemistry yokubala, ukubikezela kwesimo sezulu, i-astrophysics, nezesayensi yezinto konke kusebenzisa amakhodi aneminyaka efanayo kakhulu futhi kunenani elilinganiselwe labalondolozi. Amandla aguqule i-genomics yaba ihola kuqala asebenza kuyo yonke imikhakha yesayensi egxile kakhulu ekubaleni.
Okushiwo yi-OpenAI kwenye indawo kungenzeka kuphindeke kwezinye izindawo ezingamashumi nambili.
Funda Okulandelayo: I-Sparrow Wallet EseSitolo Sika-Apple Yayiyeyamanga, Futhi u-$1.8M Usukile