Buyela Ezindabeni
UkuqambaAI Understanding ukwaziswa

I-36Kr ibika ukuthi i-DeepSeek yethule ihhanisi lokubuka kuqala likanjiniyela ocwaningweni lokuzithuthukisa lwe-AI

I-36Kr ibika ukuthi i-DeepSeek ikhiphe i-DeepSeek Harness, indawo yokuhlola kuqala kanjiniyela eyenzelwe ukuvumela ama-agent e-AI ukuthi aguqule, ahlole futhi abuyisele emuva izingxenye zesofthiwe. Umbiko uthi uhlelo lusebenzisa indlela ebizwa nge-Cordis ukuphatha ama-plugin ashintshayo nokuncika, kodwa isimo sawo sokukhishwa, amandla kanye nobubanzi...

6 min readRead the linked source
Source-provided image accompanying 36Kr reports DeepSeek launched a developer-preview harness for AI self-improvement research
Inkomba yomthomboUmthombo urekhodiwe
Umshicileli
eu.36kr.com
Isixhumanisi somthombo
eu.36kr.comhttps://eu.36kr.com/en/p/3952918063774852
Uhlobo lomthombo
Umthombo oxhunyiwe — isimo somthombo oyinhloko asikasungulwa.
UmongoQonda lokhu ngemizuzwana engama-60

Qala lapha

Imigomo ebalulekile

I-AGI (Artificial General Intelligence)
Isistimu ye-AI ecatshangelwayo engakwazi ukwenza imisebenzi eminingi yobuhlakani ezingeni lomuntu ezizindeni eziningi.
Inkumbulo (Inkumbulo yomenzeli)
Ingqikithi egciniwe umenzeli we-AI usebenzisa ezinyathelweni zonke noma izikhathi ukuze athuthukise ukuqhubeka.
Iketango-lokucabanga
Isitayela sokucabanga lapho imodeli ye-AI idiliza inkinga ibe yizinyathelo eziphakathi nendawo.
ZihloleImibuzo ye-AI Agents

Kwenzekeni

Ngokusho kwe-36Kr, i-DeepSeek ikhiphe i-DeepSeek Harness, noma i-DSH, njengokubuka kuqala konjiniyela evikini eledlule. Umbiko uyichaza njengendawo yokusebenza yama-ejenti e-AI angafaka, aguqule futhi asuse izingxenye kuyilapho elondoloza ikhono lokululama ezinguqukweni ezihlulekile. I-36Kr ithi i-DSH iyingxenye yokuhlola okubanzi kwe-DeepSeek kokuzithuthukisa okuphindiwe, kunobufakazi bokuthi amasistimu e-AI angadala ngokuzimela i-AI enekhono kakhulu.

Umbiko ka-Aug. 24 we-36Kr uthi i-DeepSeek ikhiphe i-DeepSeek Harness, noma i-DSH, njengokubuka kuqala konjiniyela ngemuva kokuthi ezinye izinkampani ze-AI kanye namaphrojekthi sethule amasistimu "amahhanisi" afanayo. I-athikili ibeka ukwethulwa ngaphakathi kwe-DeepSeek yomsunguli ohlangene we-DeepSeek ku-Liang Wenfeng okubikiwe kokuqhubeka ukusuka kumamodeli ezilimi ezinkulu kuya kuchungechunge lokucabanga, ama-ejenti, ukufunda okuqhubekayo, ukuziphindaphinda kanye nobuhlakani obuhlanganisiwe. Umthombo wethula ukuzithuthukisa okuphindaphindayo, noma i-RSI, njengendlela eya ekuhlakanipheni okuvamile kokwenziwa, hhayi njengegama elifanayo le-AGI. Iphinde ithi i-DSH iyingqopha-mlando futhi isekude nokubonisa ubunye bobuchwepheshe.

Umthombo awunikezi idethi eqondile yokukhishwa, izimo zokutholakala komphakathi, izilinganiso zokusebenza noma isimemezelo esiyinhloko se-DeepSeek. Umbiko ukhomba indlela ewumongo ku-DSH ebizwa nge-Cordis. Ngokusho kwe-36Kr, i-Cordis ihloselwe ukubhekana nomkhawulo wezinhlelo ezijwayelekile ze-plugin: ukususa i-plugin kungase kungayisusi ngokugcwele imiphumela yayo ngaphandle kokuqalisa kabusha inqubo ezungezile. Lowo mkhawulo ubalulekile kumenzeli osebenza ngamathuluzi, izimvume, ama-sandbox, izinkumbulo nesimo seseshini, ngoba ukuguqulwa okuphindaphindiwe kungase kuphazamise isistimu esebenzayo noma kuyishiye esimweni esimaphakathi esingabuyiseleki.

I-36Kr ithi i-Cordis ilandelela futhi ihoxise imithelela yezingxenye lapho ziphuma futhi ihlanganisa kabusha ngokuzenzakalelayo ukuncika lapho ubudlelwano phakathi kwezingxenye kushintsha. I-athikili ixhuma lawo makhono nemiqondo yokuvumelana kwesikhashana nendawo ephepheni elithi DeepSeek kanye neYunivesithi yase-Peking eshicilelwe eceleni kokukhishwa. I-36Kr ibika ukuthi indlela eyisisekelo isetshenziswe iminyaka emine e-Koishi, uhlaka lwengxoxo yomthombo ovulekile olunama-plugin omphakathi angaphezu kuka-4,000. I-athikili iphatha lowo mlando njengobufakazi bokuhlangenwe nakho konjiniyela, kuyilapho ivuma ukuthi indlela yokusebenza isadinga ukuhlolwa kuma-plugin ecosystem amakhulu.

Umthombo onikeziwe awubandakanyi isihloko sephepha ngendlela engahlolwa ngokuzimele ngaphandle kwereferensi yaso “kwipharadigm yokuhlela yokuhlangana kwe-spatiotemporal,” futhi awunikezi amabhentshimakhi, amanani okuhluleka, izinqubo zokuhlola eziphindaphindekayo noma ubufakazi bokuthi i-Cordis inike amandla i-DSH ukuthi ithuthukise imodeli yasemngceleni. I-athikili iphinde ichaze ukugxekwa kwabasebenzisi kulandela ukukhishwa, ithi abanye abasebenzisi bathole ukuthunyelwa kunzima, ukucushwa okuyinkimbinkimbi kanye nolwazi oluphelele lungakaqedwa. Ibe isihlola imizamo ehlobene ku-Google DeepMind, Anthropic, Tencent kanye ne-MiniMax. Lezo zibonelo zifaka phakathi ukusesha kohlelo oluzenzakalelayo, izihibe zocwaningo ze-ejenti kanye nokuhlola kwangaphakathi okubikiwe. Izimangalo zomongo ezenziwe ngu-36Kr, hhayi okutholwe ngokuzimela okuqinisekisiwe kokokusebenza okunikeziwe. Ukuthuthukiswa kokhonkolo okumaphakathi kusalokhu kungukukhishwa okubikiwe kwe-DSH kanye nendawo yayo yesofthiwe ehlongozwayo yokuguqulwa kwe-ejenti ephindaphindayo.

Imininingwane yomthombo: eu.36kr.com ↗

Kungani kubalulekile

Ukwethulwa okubikiwe kukhomba ekushintsheni ekuhloleni i-AI ikakhulukazi ngokukhishwa kwemodeli ngezikhathi ezithile kuya ezindaweni zokwakha lapho amamodeli angakwazi ukwenza okuthile ngokuphindaphindiwe, athole impendulo futhi aguqule isofthiwe yawo esekelayo. Uma isistimu isebenza njengoba kuchaziwe, inselele ebonakalayo iwukusungulwa okuzimele kunokuhlola okuthembekile: izinguquko kufanele zihlolwe, zibuyisele emuva futhi zahlulelwe ngokumelene nemiphumela elusizo. Umbiko awuqinisekisi ngokuzimela ukuthi i-DSH ithuthukisa amakhono ayisisekelo emodeli noma iletha i-AI eduze nobuhlakani obujwayelekile bokwenziwa.

Ukubaluleka kokwethulwa okubikiwe kulele kungqalasizinda ukuze iphindwe. Ukukhishwa kwemodeli evamile kudala iphuzu elibonakalayo lokuqhathanisa: imodeli entsha iyahlaziywa, ihlelwe futhi isetshenziswe. Isistimu echazwe yi-36Kr esikhundleni salokho igcizelela okwenzekayo phakathi kokukhishwa. I-ejenti isebenza endaweni, ishintsha ingxenye, iqhube ukuhlaziya, ibheke umphumela bese inquma ukuthi iyalugcina yini noma luhlehlise ushintsho. Leyo ndlela ingenza ukuthuthukiswa kwemodeli kuqhubeke, kodwa kuphela uma indawo ezungezile inikeza izivivinyo ezinokwethenjelwa futhi isignali yempendulo ibonisa usizo lwangempela kunemethrikhi encane.

Ukugcizelela kombiko ekubuyiseleni emuva kanye nokuphathwa kokuncika kugqamisa inkinga yokuphepha nokwethembeka okungokoqobo. I-ejenti ye-AI enegunya lokushintsha amathuluzi noma isikafula singahluleka ngezindlela okunzima ukuzixilonga uma ushintsho ngalunye lungcolisa isilingo esilandelayo. Indlela erekhoda imiphumela, iyisuse futhi ibuyisele isimo esaziwayo ingenza ukuhlola kulawulwe kakhudlwana. Umthombo awuqinisekisi ukuthi i-DSH inikeza ukuvikeleka okuphelele, ivimbela izenzo ezingagunyaziwe, noma ivikela idatha nezimvume. Lokho kuhlala kungaziwa okubalulekile, ikakhulukazi ngoba indawo echaziwe ingase ihlanganise inkumbulo, amathuluzi, amabhokisi esanti kanye nesimo seseshini.

I-athikili iphinda ithi ukufinyelela emsebenzini wangempela kanye nempendulo yekhwalithi ephezulu kungase kube inzuzo yokuncintisana. Ku-akhawunti yayo, izindawo zokufaka amakhodi zibalulekile ngoba zikhiqiza ukulandelelwa komsebenzi okuhleliwe kanye namasiginali asheshayo mayelana nokuthi uhlelo lwe-AI luphumelela noma lwehluleka kuphi. Lokhu kuwukucatshangelwa kwamasu okuzwakalayo kombiko, kodwa akufanele kuthathwe njengobufakazi bokuthi idatha evela kumsebenzi wabasebenzisi izokhiqiza amamodeli angcono. Umthombo awunikezi bufakazi obuzimele mayelana nokuphathwa kwedatha, imvume, ukuvikelwa kobumfihlo, ukusetshenziswa kokuqeqeshwa, noma ukuthi noma yiziphi izinzuzo ezibikiwe zivame ukudlula imisebenzi yangaphakathi. Futhi ayibonisi ukuthi ama-loop aphindaphindayo akhiqiza ukubuyisela okwandayo kunokunciphisa ukubuyisela.

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 Agents Quiz

An agent must create a draft calendar event for Tuesday at 2 p.m. Which evidence would establish the requested result?

Ongakubuka ngokulandelayo

Imibuzo eyinhloko ukuthi ingabe i-DeepSeek ishicilela imibhalo yobuchwepheshe, ikhodi yomthombo, ukuhlaziya noma imiboniso efakazela izimangalo zombiko; ukuthi i-DSH isingatha kanjani ngokuthembekile ukuguqulwa okuhlulekile kanye nokushintsha ukuncika; nokuthi iyasebenziseka yini ngaphandle kwendawo yobunjiniyela ye-DeepSeek. Abafundi kufanele futhi bahlukanise iluphu yokuthuthukisa esizwa yithuluzi ekuzithuthukiseni okuphindaphindayo ngomqondo oqinile wokuklama kwe-AI nokuqeqesha abalandelayo abanekhono kakhulu.

Ukuqinisekisa kufanele kuqale ngokukhishwa ngokwakho. Isinyathelo esilandelayo esibalulekile kungaba imibhalo yezobuchwepheshe yomphakathi noma inqolobane ecacisa amamodeli asekelwayo e-DSH, izidingo zokusebenza, imodeli yezimvume, imingcele yebhokisi lesihlabathi nokuziphatha kokutakula. Abasebenzisi abazimele bazodinga ukukhiqiza kabusha ukufakwa kwe-plugin okubikiwe, ukususwa kanye nemisebenzi yokuvumelanisa ukuncika. Ngaphandle kwezinto ezinjalo, umphakathi awukwazi ukunquma ukuthi ingabe i-DSH iyasebenziseka kabanzi, iyithuluzi elilinganiselwe langaphakathi, noma ngokuyinhloko iyisibonelo socwaningo.

Abahloli kufanele babheke ubufakazi obuhlukanisa ubunjiniyela obuzenzakalelayo nezimangalo ezinamandla ezimayelana nokuzithuthukisa okuphindiwe. Ukuhlola okuwusizo kungabonisa ukuthi ingabe umenzeli angakwazi yini ukuphakamisa izinguquko, enze ukuhlolwa kwenhloso, alulame ezinguqukweni ezihlulekile futhi athuthukise ukusebenza kuyo yonke imisebenzi engazange isetshenziselwe ukuqondisa iluphu. Umbiko onikeziwe awunikezi ukuhlola okuzimele okunjalo. Futhi ayiqinisekisi ukuthi noma yiziphi izinzuzo zithinta ukuqeqeshwa kwemodeli, ukucabangela, ukusetshenziswa kwamathuluzi, i-scaffolding yesofthiwe noma ibhentshimakhi echazwe kancane kuphela.

Izimangalo ezibanzi ku-athikili ye-36Kr zidinga isixwayiso esithile. Umbiko ucaphuna izibikezelo mayelana nokuthi i-RSI ingase yenzeke nini futhi uchaza imizamo yezinkampani ezimbalwa ezinkulu ze-AI, kodwa izibikezelo nezitatimende zenkampani akubona ubufakazi bokuthi umkhawulo wokuzithuthukisa ufinyelelwe. Ukubika okuzayo kufanele kuhlole ukugada komuntu, igunya lokuvala ucingo, ukucwaningwa kwamabhuku, ukutholakala kwedatha kanye nokwenzeka kokuthi ama-loops okuthuthukisa axhaphaza abahloli bawo. Kufanele futhi ilandelele ukuthi ingabe i-DSH ithola ukwesekwa komphakathi okuzinzile, ukuthi izikhalo zokusatshalaliswa ziyaxazululwa yini, nokuthi abacwaningi abazimele bangakwazi yini ukuqinisekisa noma yiziphi izinzuzo zamandla angokoqobo.

Imihlahlandlela ehlobene nemibuzo

Ama-AI AgentsAmamodeli e-AI AchaziweUkuqeqeshwa kwe-AIIkusasa le-AIHlola okwaziyo — zama imibuzo ye-AI yamahhalaBheka igama le-AI kuhlu lwethu lwamagamaLandela i-tracker yokukhishwa kwemodeli ye-AI
Uthole lokhu kuwusizo?