I nɔ tu te yet, Deepseek bi wan supa pɔpul tɔpik ɔlsay na di wɔl. Mek wi get wan luk wetin Deepseek bi en in impakt pan wi.
1. Wetin na dip-sek?
DeepSeek na wan Chaynish kɔmni we de pe atɛnshɔn fɔ ajɔst di Jɛnɛral Atifishal Intɛlijɛns (AGI). Pan ɔl we AGI nɔ dɔn fulɔp yet, Deepseek dɔn divɛlɔp sɔm pawaful AI tul ɛn aplikeshɔn dɛn we dɛn mek fɔ ɛp ɔdinari pipul dɛn. Deepseek in wok dɛn na men wan kɔnsɛntret insay natura l langwej prɔsesin, kɔmpyuta vishɔn, ɛn data analisis.
2. Di men wok dɛn we Dipizik de du .
Natural langwej prosesin: inklud mashin transleshon, teks jenereshɔn, sɛntimɛnt analisis, kwɛshɔn-ansa sistɛm, ɛn ɔda tin dɛn.
Kɔmpyuta Vishɔn: inklud imej rɛkɔgnishɔn, target ditekshɔn, imej jenɛreshɔn, ɛn ɔda tin dɛn.
Data Analysis: inklud data mayning, prɛdiktiv analisis, data vishɔnalizeshɔn, ɛn ɔda tin dɛn.
3. DipSeek in dairekt impak pan ɔdinari pipul dɛn
(1) Impruv wok efyushɔn ɛn kɔvinant layf .
DipSeek in teknɔlɔji kin aplay to difrɛn sɛnɛriɔ, we rili impɔtant di layf ɛn wok efyushɔn fɔ ɔdinari pipul dɛn. Fɔ ɛgzampul, yuz Deepseek in intɛligent kastoma savis fɔ sɔlv layf prɔblɛm, yuz imej rɛkɔgnishɔn tul fɔ fɛn prɔdak, ɔ ɔndastand di makit tren tru prɛdiktiv analisis tul dɛn.
(2) Krio nyu wok opportunities .
Wit di divɛlɔpmɛnt fɔ dipsik, dɛn go mek nyu wok opportunity, lɛk AI trena ɛn data lɛbla. Dɛn wok ya we de kam bifo nɔ jɔs de gi mɔ wok opshɔn fɔ ɔdinari pipul dɛn, bɔt dɛn de protɛkt tɛknɔlɔjik inovashɔn ɛn divɛlɔpmɛnt na rilayt fil dɛm.
(3) Nid fɔ lan nyu skil fɔ adap to di AI tɛm .
Fɔ mek dɛn ebul fɔ adap to di wok ɛnvayrɔmɛnt na di AI tɛm, ɔdinari wokman dɛn nid fɔ lan nyu skil dɛn, lɛk data analisis ɛn mashin lanin. If dɛn sabi dɛn skil ya, dat go ɛp dɛn fɔ kɔntinyu fɔ gɛt kɔmpitishɔn na di wokples tumara bambay.
4. Dipɛkt in impak pan sosayti ɛn ɛdyukeshɔn
(1) Impekt pan soshal sistɛm ɛn soshal strɔkchɔ .
As ɛksternal factor, Deepseek nɔ kin chenj di soshal sistɛm ɔ di soshal strɔkchɔ. I men wan de afɛkt di we aw fɔ lan ɛn gɛt infɔmeshɔn, bɔt i nɔ izi fɔ chenj di edyukeshɔn sityueshɔn ɔ di soshal strɔkchɔ na di sosayti.
(2) Impakt pan di gap dɛn we de na di edyukeshɔn .
Pan ɔl we dipsik tɛknɔlɔji kin smɔl di rijinal ɛdyukeshɔn gap na di tiori, insay aktual aplikeshɔn, bikɔs ɔf di nɔ ivin risɔs alɔkeshɔn ɛn tɛnki barɛri, i kin mek di edyukeshɔn difrɛns bitwin di rijyɔn dɛn wɔs.
(3) Impekt pan no bɔt di tin dɛn we pɔsin fɔ no ɛn di we aw pipul dɛn de muv di klas .
Di pɔpulɛshɔn fɔ dipsik kin mek pipul dɛn nɔ gɛt di sem rayt fɔ gɛt di no we dɛn gɛt, mɔ na di say dɛn we pipul dɛn nɔ gɛt bɛtɛ tin fɔ du. Apat frɔm dat, klas imiteshɔn gem dɛn we de na di fil fɔ pe fɔ no bɔt tin dɛn kin ambɔg klas mobiliti bak.
Data frɔm onlayn ɛdyukeshɔn pletfɔm dɛn sho se pan di wan dɛn we de pe fɔ di wan dɛn we de yuz am, di fɔs ɛn sɛkɔn-taya siti dɛn de fɔ 82%; Studɛnt dɛn na di men midul skul dɛn na di Haidian distrikt na Pekin kin kɔmplit wan avɛj 300 mats prɔblɛm dɛn ɛvride ɔnda di gayd fɔ AI tichin ɛsista dɛn. Di 'smart klasrum' we skul dɛm na Guizhou mawnten eria dɛn proud fɔ na jɔs tu ilɛktronik sɛlf-stɔdi sɛshɔn dɛn pan wik wit fambul ticha dɛn vidio we dɛn de ple ɔnlayn.
Di mɔ ayd kraysis de na di kɔgnitiv kɔk we dɛn mek bay di algɔritm rɛkɔmɛndishɔn dɛn. We di pikin dɛn we de wok na ɔda kɔntri dɛn si 'Junior High School graduate dɛn kin lan nel art ɛn gɛt pas 10,000 yuan wan mɔnt' pan shɔt vidio pletfɔm dɛn, di pikin dɛn na di ɔrɔban midul klas de lan 'Yout Lidaship Trenin' insay di no we dɛn de pe fɔ di ap dɛn we dɛn de pe. Dis divishɔn fɔ dijital trajektɔri dɛn dɔn lɔk bay di prɛdikshɔn algɔrithm as ali as di fɔs klik fɔ di yuza.
Yu kin si se ivin wit Deepseek, di amount of no we dɛn gɛt frɔm am rili difrɛn dipen pan di say we dɛn de.
Nɔto jɔs big big rijinol difrɛns dɛn de, bɔt di difrɛns dɛn we de pan di edyukeshɔn we pipul dɛn we gɛt difrɛn klas dɛn na di sem rijyɔn gɛt. Di yuz pikchɔ fɔ wan ɛdyukeshɔn pletfɔm we bɔku pipul dɛn sabi sho se pan di wan dɛn we de bay in ay-ɛnd kɔs, di grup we gɛt famili inkɔm ɛvri ia we pas 500,000 akɔn fɔ 67%. Dis 'Intelligent Learning Systems' dɔn push tɛst trenin to di ekstrim fɔ industrial prodakshɔn tru bɔku bɔku kwɛstyɔn bank dɛn ɛn pɔsnalayz rɛkɔmɛndishɔn algɔritm dɛn.
I kin bi se Deepseek nɔ gɛt ɛni abiliti fɔ brij di rijinol ɛdyukeshɔn gap. Insted, i go transfom tradishonal rijinol difrens to data-based klas isolation.
Dis nɔ dɔn dɔn yet. Yu tink se di mɔ no bɔt yu absɔb frɔm Deepseek, na di mɔ yu kin chenj yu destiny? Nɔ.
Fɔ dis, lɛ wi tɔk wit di tru tin dɛn. Na di wan dɛn we de bay di 'CounterAttack Mentor' kɔs pan wan patikyula no bɔt pemɛnt pletfɔm, we nɔ rich 3% bin rili ajɔst to impɔtant wok advansmɛnt; Wan sɔv we dɛn bin du fɔ di Shenzhen IT industri sho se 95% pan di algɔritm injinia dɛn kɔmɔt frɔm 985 ɛn 211 kɔleji ɛn yunivasiti dɛn; 80% pan di tɔp ankɔ dɛn na di ɛkspɛs dilivri industri we de gɛt pas 100,000 yuan wan mɔnt gɛt makɛt bakgrɔn; Afta tri ia we dɛn dɔn yuz wan patikyula AI intavyu sistɛm, di kandidet pas rɛt bin drɔp frɔm 18% insay di fɔs stej to 5.7%;
Wan ɔda AI intavyu sistɛm fɔ wan lida rikrutmɛnt pletfɔm bin establish wan 'ɛlit talɛnt mɔdel' we gɛt 87 indikɛtɔ dɛn bay we dɛn analayz di vɔys ficha dɛn fɔ 50,000 saksesful kandidet dɛn. Pan ɔl we dɛn de mek di skrinin efyushɔn bɛtɛ, dis sistɛm de kɔd bak sɔm implisit diskrimineshɔn insay tɛnki standad: Mandarin wit dayalɛkt aksɛn dɛn de jɔj am as insufishɛnt kɔmyunikeshɔn abiliti, ɛn dɛn de intaprit di wok ɛkspiriɛns we nɔ strɔkchɔ as chaotic kariɔ planin. We di rizyum fɔ Xiao Zhang, we na sɛkɔn-tay graduate, bin ɔtomɛtik filta bay di sistɛm fɔ di 43 tɛm, i kin nɔ ɛva no se dɛn pul am 18 poɛnt insay di dimɛnshɔn fɔ 'stress resistance' bikɔs ɔf di lɔk fɔ intanshɔp ɛkspiriɛns na wan big kɔmni.
Ivin mɔ absurd klas imiteshɔn gem dɛn de na di fild fɔ no bɔt no. Insay di 'Reversal Training Camp' we dɛn prays na 1,999 Yuan, lɛkchɔra dɛn de tich di tɔk tɛmplat dɛn we dɛn dɔn lan frɔm 'Di Wolf ɔf Wall Street' ɛn tich smɔl tɔŋ yɔŋ pipul dɛn fɔ pak dɛnsɛf wit tɛm dɛn lɛk 'Underlying logic' ɛn 'cognitive iteration'. Dis diskɔs sistɛm we dɛn tek tɛm mek na essentially wan poor imitation of di kɔlchɔral simbul dɛm fɔ di elit klas. Jɔs lɛk Xiao Li na di asɛmbli layn na di Dongguan ilɛktroniks faktri, pan ɔl we i kin rid di '48 difrɛns bitwin di tink we di po pipul dɛn de tink ɛn di tink we di rich' gɛt skil, in mɔnt salari we gɛt 3,800 yuan stil nɔ ebul fɔ kip di inkris na Shenzhen in rent.
Bɔku bɔku tru tin dɛn dɔn pruv ɛn dɛn go kɔntinyu fɔ pruv se na mistek fɔ trɔs di op fɔ chenj pɔsin in fate to Deepseek.
Yes, we Dipseek in algɔrithm injinia dɛn de dibɔg paramita dɛn na wan brayt ɛn klin ɔfis bildin, di pikin dɛn we de na di lɛft-biɛn na di mawnten eria dɛn na Yunnan de yuz dɛn mama ɛn papa dɛn smart fon fɔ chenj fɔ wok fɔ wach shɔt vidio dɛn we gɛt 'Laning Paytɔn insay tri dez'. Dis juxtaposition of majik rialiti konstitut di most profound soshal metafor fo di moment: anda di brayt kot of di promes of ikwal raits in teknoliji, di increasingly solidified klas folds dem de ayd.
5. Fyuchɔ Outluk fɔ Dipizik
Pan ɔl we DeepSeek naw na men wan we go bɛnifit smɔl kɔmni dɛn, in opin sɔs nature kin protɛkt di wida diploymɛnt fɔ AI mɔdel dɛn ɛn lɔw di trɛshɔld fɔ pipul dɛn fɔ yuz AI. Dis go ɛp fɔ mek pipul dɛn lɛk ɛn yuz AI teknɔlɔji ɛn bɛnifit mɔ pipul dɛn.
In shot, di divεlכpmεnt כf dipsik go gεt big impakt pan כdinari pipul dεm, wit כl tu di gud tin dεm εn prכblεm dεm we nid wi atεnshכn εn sכlushכn. Ɔdinari pipul dɛn nɔ kin ebul fɔ kɔnt pan Deepseek fɔ chenj dɛn destiny, we na jɔs wan nɔ rial mental ilyushɔn. Bifo dat, dɛn fɔ lan frɔm Liang Wenfeng, we na di pɔsin we mek Deepseek, fɔ stɔdi tranga wan, fɔ dayjɛst di no we dɛn gɛt, fɔ mek dɛn ɔrayzin dɛn bɔku, fɔ no usay di tin dɛn de go, ɛn fɔ tek chans dɛn lɛk am. Na di sem tɛm, wi fɔ tray fɔ intagret insay sosayti, transfɔm sosayti, wok togɛda, mek sosayti fayn ɛn jɔs, ɛn gi ɔdinari pipul dɛn chans. Na onli dis we wi go chenj wi destiny laik Nezha.
Wan tin shoule mek shɔ se AI go mɔ ɛn mɔ afɛkt pipul dɛn ɛvride layf smɔl smɔl. Hangao Tech (Seko Machinery) kin yuz am as tul fɔ impɔtant wi sɛf. Sɔntɛm sɔmde, wi . Stɛnlɛs stiɛl tiub mil layn ɔ ɔda prɔdak dɛn kin yuz dis teknɔlɔji.
