🧩 I-Anthropic iqinisa okunikezwayo kwebhizinisi ngama-plugin e-Cowork ↗
I-Anthropic ithambekele kakhulu ekhoneni "le-AI yasemsebenzini", ikhipha amabhlogo wokwakha wesitayela se-plugin avumela amaqembu ukuthi ahlanganise imisebenzi ephindaphindwayo ibe yinto eseduze nohlelo lokusebenza lwangaphakathi.
Isimo sengqondo asigcini ngokuthi “cela i-chatbot” kodwa sithi “nika umsebenzi kumsizi ohlelekile kahle,” okuzwakala kungathandeki uze ukhumbule ukuthi kulapho imali ivame ukuhlala khona.
Kukhona futhi isethi yokuqala yama-plugin evulekile - ngokuyisisekelo isimemo esithule sokukopisha, ukulungisa, nokuthumela - futhi, empeleni, yileyo ndlela iningi lesofthiwe yebhizinisi eliba ngayo ebonakalayo.
🧪 I-Poetiq ithole u-$45.8M ekuxhasweni ngemali ye-'meta-system' yayo ethuthukisa i-LLM ↗
UPoetiq udonse umjikelezo omkhulu wokwakha lokho akubiza ngokuthi “uhlelo lwe-meta” lwama-LLM - ungqimba olwenzelwe ukuthuthukisa ikhwalithi yokukhipha ngenkathi futhi kunciphisa izindleko zesikhathi sokusebenza.
Iphuzu liwukuthi uyinika izibonelo zemisebenzi, futhi kusiza ekwakheni imodeli ibe yinto efana ne-ejenti, kanye nokuzihlola okuphindaphindiwe kanye nokucwengisiswa okufakwe ngaphakathi. Kufana nokunikeza imodeli umphathi wephrojekthi wangaphakathi omncane… oxakile kancane, kodwa noma kunjalo.
Uma kusebenza, kuwukuvula okusebenzayo. Uma kungasebenzi, kuzojoyina inqwaba yezinkampani ezintsha ze-“silungise ama-LLM” ezavela ukuthi… ikakhulukazi zinomoya omuhle.
💸 Ama-AI Startup Venture Capitalists Axhasa Ngobumfihlo ↗
I-Baseten ibhekwa njengomnqobi “wesigaba sokuqagela” - ingxenye engathandeki lapho amamodeli esebenza khona ekukhiqizeni, isabelomali siba yinqaba, futhi onjiniyela baqala ukubala ama-millisecond njengokungathi balinganisela amanzi.
Lo mbhalo uthi umqhudelwano omkhulu unenani elikhulu futhi uphawula ukubandakanyeka kweNvidia, okungenye yalezo zimpawu abantu abaziphatha njenge-weather vane: lapho iNvidia ivele khona, kulandela ukunakwa.
Futhi kuyisikhumbuzo sokuthi ukujaha igolide akukhona nje kuphela ngokwakha imodeli engcono kakhulu - kumayelana nokwenza imodeli ithengeke ngokwanele ukuze ihlale ivuliwe.
🧾 I-OpenAI ilungiselela i-IPO yekota yesine, kubika i-WSJ ↗
Kubikwa ukuthi i-OpenAI ibeka isisekelo sesikhathi se-IPO, kanye nokwakha ubuholi bezezimali - uhlobo lwezinyathelo ezivame ukusho ukuthi “siqala ukugxila empilweni yemakethe yomphakathi,” kungakhathaliseki ukuthi bayakusho ngokuzwakalayo noma cha.
Ingqikithi icacile impela: i-AI yasemngceleni ibiza kakhulu, ukuncintisana kukhulu, futhi ukuqoqa imali enkulu kuba lula uma ungathengisa indaba kuyo yonke imakethe - hhayi nje abambalwa abasekelayo abazimele.
Futhi yebo, kuyinto engavamile. I-“AI lab” kanye ne-“IPO prep” emshweni ofanayo kusazwakala sengathi omakethi ababili bahlangana ndawonye.
🤝 Isivumelwano se-ServiceNow kanye ne-Anthropic Disclose AI ↗
I-ServiceNow ibambisana ukufaka i-Claude esitokisini sayo somsebenzi, ibeka imodeli njengenketho ezenzakalelayo ngaphakathi kwamathuluzi abantu abawasebenzisa kakade ukusebenzisa i-IT, i-HR, ukwesekwa - zonke izinto ezingafanele ezigcina izinkampani zimile.
Indaba yangempela lapha ukusatshalaliswa: uma i-AI ingaphakathi komsebenzi, akudingeki icele abasebenzisi ukuthi bakhumbule ukuthi ikhona. Imane nje... ikhona, ithatha kancane imisebenzi eyisicefe.
Amadili anjengalawa aphinde ashukumisele phambili indaba "yama-ejenti yonke indawo" - noma ngabe ingxenye yesikhathi elithi "i-ejenti" lisasho "i-bot eqeda amafomu ngokushesha kunawe."
🕵️♂️ I-Google Yengeza "i-Agency Vision" ku-Gemini 3 Flash ↗
I-Google DeepMind icindezela umqondo we-“Agency Vision” we-Gemini 3 Flash - ivumela imodeli ukuthi iqhubeke nokubuka, ukwenza (ngamathuluzi ekhodi), bese ibheka futhi, esikhundleni sokwenza sengathi isiqonda kahle isithombe ekuqaleni.
Lokho kusho izinyathelo ezisebenzayo njengokusondeza ezindaweni ezincane, ukunqampuna, noma ukusebenzisa izibalo ezincane njengengxenye yokugeleza kokucabanga. Kusobala ngendlela ehlekisayo, kodwa futhi - ngendlela ethule - isinyathelo sangempela sokuthola "izimpendulo ezingalungile eziqinisekile" ezimbalwa emisebenzini ebonakalayo.
Uma le ndlela iqhubeka, elithi “imodeli yombono” liyayeka ukusho ukuthi “chaza isithombe” bese liqala ukusho ukuthi “buza ngemibuzo isithombe,” okuzwakala kunolaka kancane… kodwa mhlawumbe yilokho ukunemba okudingayo.
Imibuzo Evame Ukubuzwa
Ayini ama-plugin e-Anthropic's Cowork, futhi awasiza kanjani amaqembu?
Ama-plugin e-Cowork ahlelwe njengezakhiwo zesitayela se-plugin ezisiza amaqembu ukuguqula imisebenzi ephindaphindwayo ibe imisebenzi ehlelekile kancane. Esikhundleni se-"chat" yamahhala, lo mbono uthambekele ekwabeleni umsebenzi umsizi olandela iphethini ehambisanayo. Emikhiqizweni eminingi ye-AI yebhizinisi, leso sakhiwo sivame ukwenza kube lula ukwamukelwa ngoba imiphumela izwakala ibikezelwa kalula. "Isethi yokuqala" iphinde iphakamise ukuthi ukukopisha nokwenza amathempulethi ngokwezifiso kuyingxenye yendlela ehlosiwe yokusebenza.
I-AI yebhizinisi ishintsha kanjani kusuka kuma-chatbots iye kuma-workflows afakiwe?
Umugqa ohamba phambili kulezi zibuyekezo yi-AI yebhizinisi esuka ku-chatbot ezimele iye entweni ethungelwe kumathuluzi ansuku zonke. Uma i-AI ihlala ngaphakathi komsebenzi okhona, abasebenzisi akudingeki bakhumbule ukuvula isikhombikubona esihlukile. Lokho kuvame ukuqhuba ukusetshenziswa okuqhubekayo, ikakhulukazi emsebenzini ojwayelekile we-IT, i-HR, kanye nokusekela. Ukugcizelelwa kusekuthembekeni nasekuphindaphindeni, hhayi okusha.
Kusho ukuthini ukubambisana kwe-ServiceNow kanye ne-Anthropic empeleni?
Ubambiswano lwethulwa njengokufaka uClaude esitokisini sokusebenza kwe-ServiceNow, okwenza kube inketho ezenzakalelayo ngaphakathi kwezinhlelo abantu abavele bazisebenzisa. Lokho kufundeka njengomdlalo wokusabalalisa: i-AI ivela lapho amathikithi, izicelo, kanye nokuvunyelwa sekuvele kukhona. Ezinhlanganweni eziningi, yilapho umsebenzi ongathandeki kodwa ophakeme unqwabelana khona. Inani lincane ngama-demo amahle kakhulu kodwa limayelana nokususa izinyathelo ezikhathazayo buthule.
Yini okufanele yenziwe yi-"meta-system" kaPoetiq yama-LLM?
I-Poetiq ifaka ungqimba olwenzelwe ukuthuthukisa ikhwalithi yokukhipha ngenkathi futhi inciphisa izindleko zesikhathi sokusebenza, ngokwakha amamodeli anezibonelo zemisebenzi kanye nokuzihlola okuphindaphindiwe. Cabanga ngakho njengokwengeza iluphu yokulungisa, ukuze uhlelo luqinisekise futhi lulungise izimpendulo ngaphambi kokuba luhlale enguqulweni yokugcina. Emipayipini eminingi, lokhu kufana nokuziphatha okufana ne-ejenti ngaphandle kokuncika ngokuphelele ezimpendulweni ezithathwe ngesikhathi esisodwa. Isithembiso siyasebenza: amaphutha ambalwa kanye nokubala okungasetshenziswanga kahle.
Kungani abatshalizimali bejabule “ngesigaba sokuqagela” kanye nezinkampani ezifana neBaseten?
"Isendlalelo sokuqagela" yilapho amamodeli esebenza khona ekukhiqizeni, futhi yilapho ukubambezeleka, ukuthembeka, kanye nezindleko kuba khona okubonakalayo kabuhlungu. Le ngxenye ibeka iBaseten njengomnqobi ongase aphumelele kuleyo ngxenye engathandeki kodwa ebalulekile yesitaki. Ezimweni eziningi zokufakwa, imodeli engcono kakhulu akuyona isithiyo esiyinhloko - isabelomali nesikhathi sokuphendula yiso. Ukubandakanyeka kweNvidia kuvame ukubhekwa njengophawu lokuthi i-angle yengqalasizinda inesisindo.
Kuyini "umbono we-agent" ku-Gemini 3 Flash, futhi kungani kubalulekile?
"Umbono we-ejenti" uchazwa njengokuvumela imodeli ukuthi ijikeleze ekubukeni, isebenze ngamathuluzi (njengekhodi), bese ibheka futhi. Lokho kwenza kube nokwenzeka ukunyakaza okusebenzayo njengokusondeza, ukunqampuna, noma ukusebenzisa izibalo ezincane, kunokuba kwenze sengathi ukubuka kokuqala kwanele. Inhloso amaphutha ambalwa aqinisekile emisebenzini ebonakalayo, ngokwenza ukuhlolwa kube okuhlosiwe kakhulu. Uma leli phethini lisakazeka, amamodeli ombono aqala ukuziphatha njengabaphenyi kunabalandisi.