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I-Anthropic isungula ilabhorethri yebhayoloji yangaphakathi yocwaningo lwezidakamizwa lwangaphambi komtholampilo

I-Anthropic isiqinisekise ukwethulwa kwelabhorethri yebhayoloji yomzimba endaweni yase-San Francisco Bay Area, okuhloswe ngayo ukusheshisa ukutholwa kwezidakamizwa ngaphambi komtholampilo kuyilapho kugxilwe ezifweni ezinganakiwe.

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Source-page capture accompanying Anthropic establishes in-house biology laboratory for preclinical drug research
Ukubika okubaluliweUmthombo urekhodiwe
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biz.chosun.comhttps://biz.chosun.com/en/en-international/2026/09/20/BARUHKNMCFGFJPOF2HSLSVCXI4/?outputType=amp
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Ukubika ngesitolo sezindaba — hhayi idokhumenti yomuntu wokuqala.

Esingakwazi ukukuqinisekisa ngokuzimela: Lesi simangalo sibalulwe endaweni eqanjwe igama. Asizange siyiqinisekise ngedokhumenti yomuntu wokuqala. (biz.chosun.com)

UmongoQonda lokhu ngemizuzwana engama-60

Qala lapha

Imigomo ebalulekile

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Izinsiza zokucubungula ezidingekayo ukuze uqeqeshe futhi usebenzise amamodeli, ngokuvamile akalwa ngamahora e-FLOPS noma e-GPU.
ZihloleImibuzo Ecacisiwe yamamodeli e-AI

Kwenzekeni

I-Anthropic isungule ilabhorethri yebhayoloji ebonakalayo e-San Francisco Bay Area ukuze yenze ucwaningo olwengeziwe, ngokusho kuka-Eric Koutcherer-Abrams, inhloko yenkampani yesayensi yezempilo. Lesi sikhungo sihloselwe ukuvala igebe phakathi kokulingiswa okushayelwa yi-AI nokuhlola ngokomzimba. I-Anthropic ithe izogxila ngokukhethekile ocwaningweni lwangaphambi komtholampilo futhi ayihlosile ukuncintisana nezinkampani ezenza imithi noma ukungena esigabeni sokuhlolwa komtholampilo. Le nkampani ihlose ukubeka eqhulwini ukutholakala kwemithi yokwelapha izifo okwamanje ezinganakwa yimboni ebanzi yemithi.

I-Anthropic iqinisekise ukuba khona kwelabhorethri yayo entsha yebhayoloji ese-San Francisco engxoxweni nabakwaReuters ngoSepthemba 19, 2026. U-Eric Koutcherer-Abrams, inhloko yesayensi yezempilo, wathi ilebhu ibalulekile 'ekuhlolweni kokugcina' kocwaningo lwebhayoloji, oludinga ukuhlolwa ngokomzimba.

Inkampani yacacisa ububanzi bokusebenza kwayo, igcizelela ukuthi ngeke ingene esigabeni sokuhlolwa komtholampilo noma iqhudelane ngqo nezinkampani ezikhona zokwenza imithi kanye ne-biotech. Esikhundleni salokho, ilebhu izogxila ezigabeni zangaphambi komtholampilo kanye nokuthuthukiswa kokwelashwa kwezifo ezinganakiwe.

Lesi sinyathelo siyingxenye yokwanda okubanzi emkhakheni wesayensi yezempilo. I-Anthropic ngaphambilini yethule ithuluzi le-'Claude Science', yazuza inkampani ye-biotech i-Coefficient Bio, futhi yengeza i-CEO yakwaNovartis uVasant Narasimhan ebhodini layo. NgoJulayi, inkampani iphinde yaqasha uJohn Jumper, owawina kanye noMklomelo KaNobel kuKhemistry owaziwa ngomsebenzi wakhe ku-AlphaFold.

Imininingwane yomthombo: biz.chosun.com ↗

Kungani kubalulekile

Lesi sinyathelo simele ushintsho olubalulekile enkampanini ye-AI ye-Pure-play, ebonisa ukuthi i-Anthropic ibheka ukuqinisekiswa kwelebhu ebonakalayo njengengxenye edingekayo yokuthuthukisa i-AI kusayensi yempilo. Ngokuhlanganisa amandla elebhu emanzi namamodeli ayo e-AI akhona, i-Anthropic ifuna ukuthuthukisa ukunemba kanye nokusetshenziswa kwamathuluzi ayo ocwaningo lwebhayoloji. Isu lokugxila ezifweni ezinganakiwe kuyilapho ugwema ukuhlolwa komtholampilo livumela inkampani ukuthi izibeke njengozakwethu wocwaningo kunokuba incintisane namafemu emithi asunguliwe. Le ntuthuko ilandela uchungechunge lwezinyathelo zamasu, okuhlanganisa ukutholwa kwe-Coefficient Bio kanye nokuqashwa kwamathalente asezingeni eliphezulu njengo-John Jumper, ukuze kuqiniswe isikhundla sayo emkhakheni wokutholwa kwezidakamizwa oqhutshwa yi-AI.

Ukusungulwa kwelebhu ebonakalayo kuphakamisa ukuthi i-Anthropic ikholelwa ukuthi amamodeli e-AI ewodwa awanele ocwaningweni lwebhayoloji olusezingeni eliphezulu. Ngokwenza iluphu yempendulo phakathi kokubikezela kwe-AI nemiphumela yelebhu ebonakalayo, inkampani ihlose ukucolisa amamodeli ayo ukuze asebenze kangcono ekutholweni kwezidakamizwa emhlabeni wangempela.

Ukugxila ezifweni ezinganakiwe kunikeza i-niche ecacile, engenakuncintisana evumela i-Anthropic ukuthi ibonise ukusetshenziswa kwe-AI yayo ngaphandle kokubangela ukungqubuzana kwemakethe okuqondile nezinkampani ezinkulu zemithi. Leli su lingase futhi lisize inkampani ukuthi izulazule ekuhlolweni kokulawula okuphathelene nokuphepha nemithelela yesimilo ye-AI kubhayoloji.

Inkampani ilawula ngenkuthalo ukungezwani phakathi kokusheshisa inqubekelaphambili yesayensi kanye nokunciphisa ubungozi. U-Koutcherer-Abrams waphawula ukuthi i-Anthropic ilinganisa isidingo samamodeli anamandla kakhulu nesidingo sokuthunyelwa ngokuqapha ukuze kuvinjelwe ukusetshenziswa kabi kwe-AI ekudaleni izinsongo zebhayoloji.

Interactive Mechanism

I-Interactive Mechanism: Indlela Esebenza Ngayo Ngempela

Hlola ubuchwepheshe obuyisisekelo ngemuva kwalokhu kuthuthukiswa ngokuhlanganyela.

Thinking Budget (Test-Time Tokens):1,024 tokens
Complex Accuracy79%Math & Code Logic
Latency3.2sTime to first full output
Inference Cost$0.0092Per query estimated
Reasoning StyleStep VerificationInternal chain depth
Active Thinking Trace:
1Deconstruct user problem into formal constraints
2Propose candidate hypotheses & step-by-step calculation
3Self-correction: Backtrack and refute subtle edge cases
4Exhaustive consistency check & final output synthesis
Core takeaway: Test-time compute fundamentally changes AI economics. Instead of only scaling during pre-training, giving reasoning models more tokens at inference time allows them to systematically solve PhD-level STEM problems.
I-Interactive Concept Check+10 Points
AI Models Explained Quiz

Which component of an AI application is the machine-learning model itself?

Ongakubuka ngokulandelayo

Izibukeli kufanele ziqaphe ukuthi i-Anthropic ibhalansa kanjani igunya layo elikabili lokusheshisa ukutholwa kwezidakamizwa nokuzibophezela kwayo ekuvimbeleni ukusetshenziswa kabi kwamamodeli e-AI ekuthuthukisweni kwezikhali zebhayoloji. Ikhono lenkampani lokuhlanganisa ngempumelelo imiphumela yelebhu ebonakalayo kumapayipi ayo okuqeqeshwa kwe-AI lihlala liyingqopha-mlando yobuchwepheshe. Ukwengeza, umthelela waleli labhorethri endleleni ebanzi yezezimali yenkampani, ikakhulukazi njengoba ilungiselela i-IPO engaba khona, kuzoba into ethakaselekayo kubatshalizimali abahlola ukusebenza kwesikhathi eside kwemodeli yebhizinisi lesayensi yempilo.

Ukusebenza kwelebhu entsha ekukhiqizeni imiphumela ebonakalayo, eqinisekiswayo yokuthola izidakamizwa kuzoba yimethrikhi ebalulekile yempumelelo yesikhathi eside yenkampani emkhakheni wesayensi yezempilo.

Abatshalizimali bazobe bebhekile ukuze babone ukuthi ukusetshenziswa kwemali ephezulu edingekayo kule ngqalasizinda ebonakalayo, kuhlanganiswe nezindleko zekhompuyutha ye-AI, kunomthelela ekusebenzeni kwezimali kwenkampani njengoba isondela ku-IPO yayo ehleliwe.

Izimiso zokuphepha zenkampani eziphathelene nocwaningo lwebhayoloji zizohlala zicutshungulwa, ikakhulukazi njengoba iqhubeka nokwandisa amandla ayo ekubikezelweni kwesakhiwo samaprotheni nezinye izindawo ezibucayi ze-biotechnology.

Imihlahlandlela ehlobene nemibuzo

Amamodeli e-AI AchaziweIkusasa le-AIUkuqeqeshwa kwe-AIHlola okwaziyo — zama imibuzo ye-AI yamahhalaBheka igama le-AI kuhlu lwethu lwamagamaLandela i-tracker yokukhishwa kwemodeli ye-AI
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