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€97.95 (regular: €970.95) | Rabat: 90%","Contact Concert",97.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Fcontact-concert","2026-08-22T04:15:23.497Z",{"id":736,"type":306,"title":737,"body":738,"tool_name":739,"z2u_price":677,"z2u_url":740,"status":312,"read_at":313,"created_at":741},461,"💰 Syncaut — spadek ceny","Platforma: Dealify | Kategoria: E-commerce | Cena: €108.95 (regular: €1079.95) | Rabat: 90%","Syncaut","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fsyncaut","2026-08-22T04:15:21.925Z",{"id":743,"type":306,"title":744,"body":738,"tool_name":745,"z2u_price":677,"z2u_url":746,"status":312,"read_at":313,"created_at":747},460,"💰 Shopimize — spadek ceny","Shopimize","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fshopimize","2026-08-22T04:15:21.772Z",{"id":749,"type":306,"title":750,"body":751,"tool_name":752,"z2u_price":677,"z2u_url":753,"status":312,"read_at":313,"created_at":754},459,"💰 Upskillist — spadek ceny","Platforma: Dealify | Kategoria: Productivity | 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86%","PitchBob","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fpitchbob","2026-08-22T04:15:12.578Z",{"id":788,"type":306,"title":789,"body":790,"tool_name":791,"z2u_price":677,"z2u_url":792,"status":312,"read_at":313,"created_at":793},453,"💰 ZenCall — spadek ceny","Platforma: Dealify | Kategoria: Business | Cena: €108.95 (regular: €162.95) | Rabat: 33%","ZenCall","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fzencall","2026-08-22T04:15:11.934Z",{"id":795,"type":306,"title":796,"body":797,"tool_name":798,"z2u_price":732,"z2u_url":799,"status":312,"read_at":313,"created_at":800},452,"💰 ZuckerBot — spadek ceny","Platforma: Dealify | Kategoria: Social Media | Cena: €97.95 (regular: €970.95) | Rabat: 90%","ZuckerBot","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fzuckerbot","2026-08-22T04:15:10.198Z",{"id":802,"type":306,"title":803,"body":804,"tool_name":805,"z2u_price":677,"z2u_url":806,"status":312,"read_at":313,"created_at":807},451,"💰 TubeIQ — spadek ceny","Platforma: Dealify | Kategoria: Social Media | Cena: €108.95 (regular: €981.95) | Rabat: 89%","TubeIQ","https:\u002F\u002Fdealify.com\u002Fproducts\u002Ftubeiq","2026-08-22T04:15:10.059Z",{"id":809,"type":306,"title":565,"body":810,"tool_name":567,"z2u_price":711,"z2u_url":568,"status":312,"read_at":313,"created_at":811},450,"Platforma: Dealify | Kategoria: Developer Tools | Cena: €217.95 (regular: €1079.95) | Rabat: 80%","2026-08-22T04:15:07.669Z",{"id":813,"type":306,"title":814,"body":815,"tool_name":816,"z2u_price":677,"z2u_url":817,"status":312,"read_at":313,"created_at":818},449,"💰 SeoReportMaster — spadek ceny","Platforma: Dealify | Kategoria: SEO | Cena: €108.95 (regular: €1079.95) | Rabat: 90%","SeoReportMaster","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fseoreportmaster","2026-08-22T04:15:06.136Z",{"id":820,"type":306,"title":821,"body":815,"tool_name":822,"z2u_price":677,"z2u_url":823,"status":312,"read_at":313,"created_at":824},448,"💰 BacklinkScan — spadek 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€96.95 (regular: €379.95) | Rabat: 74%","2026-08-21T04:15:15.903Z",{"id":876,"type":306,"title":764,"body":877,"tool_name":766,"z2u_price":840,"z2u_url":767,"status":312,"read_at":313,"created_at":878},436,"Platforma: Dealify | Kategoria: Productivity | Cena: €107.95 (regular: €261.95) | Rabat: 59%","2026-08-21T04:15:15.769Z",{"id":880,"type":306,"title":412,"body":881,"tool_name":414,"z2u_price":677,"z2u_url":416,"status":312,"read_at":313,"created_at":882},435,"Platforma: Dealify | Kategoria: Productivity | Cena: €108.95 (regular: €870.95) | Rabat: 87%","2026-08-21T04:15:15.330Z",[884],{"id":885,"slug":886,"canonical_url":887,"cover_image":888,"published_at":889,"last_refreshed_at":313,"reading_time_min":181,"pillar_id":890,"author_id":891,"draft_id":898},"ce2af32a-8611-413c-a76c-bf40ff3b59e9","czy-polskie-parki-narodowe-potrzebuja-wlasnego-fin-findera","https:\u002F\u002Fai-odkrywca.pl\u002Fposts\u002Fczy-polskie-parki-narodowe-potrzebuja-wlasnego-fin-findera","https:\u002F\u002Fai-odkrywca.pl\u002Fblog-stock\u002Fczy-polskie-parki-narodowe-potrzebuja-wlasnego-fin-findera.jpg","2026-08-19T08:54:28.699Z",{"id":15,"name":17,"slug":16,"color_token":18},{"display_name":892,"slug":893,"bio_short":894,"social_links":895},"Andrzej Niemiec","andrzej-niemiec","Fanatyk nowych technologii i specjalista w zakresie sztucznej inteligencji.",{"linkedin":896,"x":313,"github":313,"website":897},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fandrzej-niemiec-b3ab60220\u002F","https:\u002F\u002Faion-automation.pl",{"title":899,"meta_description":900,"body_mdx":901,"word_count":902,"author_type":903,"ai_model_used":904,"schema_type":905},"Czy polskie parki narodowe potrzebują własnego Fin Findera?","W 2022 roku celnicy w Singapurze przechwycili 12 ton nieoznakowanych płetw rekinów w jednym kontenerze. Bez aplikacji mobilnej identyfikacja gatunków zajęłab…","```markdown\n# Czy polskie parki narodowe potrzebują własnego Fin Findera?\n\nW 2022 roku celnicy w Singapurze przechwycili 12 ton nieoznakowanych płetw rekinów w jednym kontenerze. Bez aplikacji mobilnej identyfikacja gatunków zajęłaby tygodnie. Z Fin Finderem — 18 sekund na zdjęcie.\n\n## Dlaczego Singapur stworzył pierwszą w Azji aplikację AI do identyfikacji płetw rekinów i płaszczek?\n\nHandel płetwami rekinów to biznes wart miliardy dolarów rocznie [5]. Szacuje się, że rocznie zabija się od 63 do 273 milionów tych zwierząt [5], a 37% gatunków jest zagrożonych wyginięciem [6]. Azja Południowo-Wschodnia, gdzie Singapur pełni rolę głównego hubu logistycznego, stała się epicentrum tego procederu.\n\nTradycyjne metody identyfikacji zawodzą na każdym kroku. Eksperci muszą ręcznie porównywać kształty, kolory i wzory płetw z katalogami — proces, który przy tysiącach próbek trwa tygodnie. W 2021 roku singapurscy celnicy potrzebowali średnio 10 dni na analizę jednej partii towaru [2]. Problem pogłębia fakt, że nielegalni handlarze często mieszają płetwy różnych gatunków, by utrudnić identyfikację.\n\nRolę AI w tym kontekście trudno przecenić. Singapur, jako pierwszy kraj w Azji, postanowił wykorzystać uczenie maszynowe do automatyzacji procesu. Fin Finder, bo tak nazywa się aplikacja, powstał z myślą o celnikach, ale szybko okazało się, że może służyć także naukowcom i organizacjom pozarządowym [1].\n\n## Jak działa aplikacja Fin Finder i dlaczego jest przełomowa?\n\nFin Finder wykorzystuje algorytmy uczenia maszynowego trenowane na bazie ponad 10 000 zdjęć płetw [2]. Aplikacja rozpoznaje 40 gatunków rekinów i płaszczek — od pospolitych po krytycznie zagrożone, jak rekin wielorybi czy płaszczka olbrzymia [6].\n\nProces identyfikacji wygląda następująco: użytkownik robi zdjęcie płetwy aparatem smartfona. Algorytm analizuje kształt, krawędzie i wzory, porównując je z bazą danych. Wynik pojawia się w ciągu kilku sekund, wraz z prawdopodobieństwem poprawności identyfikacji [2]. W testach terenowych aplikacja osiągnęła dokładność na poziomie 92% [1], co jest wynikiem porównywalnym z ekspertami — ale bez ich wieloletniego doświadczenia.\n\nNie jest jednak idealna. Głównym ograniczeniem jest jakość zdjęć. Aplikacja wymaga wyraźnych, dobrze oświetlonych fotografii. W warunkach magazynowych, gdzie panuje półmrok, a płetwy są często brudne lub uszkodzone, trafność spada do 78% [2]. Kolejny problem to baza danych — jeśli gatunek nie został wcześniej wprowadzony do systemu, algorytm go nie rozpozna. To oznacza, że aplikacja wymaga ciągłego aktualizowania, zwłaszcza w regionach, gdzie pojawiają się nowe, nieudokumentowane przypadki handlu.\n\n## Kto stoi za projektem i jakie partnerstwa umożliwiły jego realizację?\n\nZa Fin Finderem stoją trzy kluczowe podmioty: National Parks Board Singapore (NParks), Microsoft i Wildlife Conservation Society (WCS). NParks, jako agencja rządowa, odpowiadała za koordynację projektu i dostarczenie wiedzy eksperckiej [2]. Microsoft zapewnił technologię — algorytmy uczenia maszynowego i infrastrukturę chmurową — w ramach programu AI for Earth, który od 2017 roku przeznaczył 50 milionów dolarów na projekty środowiskowe [4]. WCS dostarczyło dane naukowe i wsparcie w zakresie ochrony gatunków [3].\n\nProjekt nie powstałby bez współpracy z lokalnymi organizacjami ochrony przyrody i uniwersytetami. Naukowcy z National University of Singapore pomogli w budowie bazy danych, a organizacje pozarządowe, jak TRAFFIC, dostarczyły informacji o szlakach handlowych i metodach stosowanych przez przestępców [5]. Finansowanie pochodziło zarówno z budżetu państwa, jak i grantów międzynarodowych, w tym od IUCN [6].\n\n## Jakie korzyści przynosi Fin Finder dla ochrony przyrody i organów ścigania?\n\nNajwiększą zaletą aplikacji jest szybkość. Przed jej wprowadzeniem identyfikacja jednej partii towaru zajmowała średnio 10 dni. Teraz — mniej niż godzinę [2]. To oznacza, że celnicy mogą podejmować decyzje w czasie rzeczywistym, zamiast przetrzymywać towary w magazynach.\n\nFin Finder wspiera także organy ścigania w całej Azji Południowo-Wschodniej. Aplikacja jest dostępna bezpłatnie i działa offline, co jest kluczowe w regionach o słabej infrastrukturze internetowej. W 2023 roku została wykorzystana w Malezji i Indonezji do identyfikacji nielegalnych transportów [1]. Co więcej, dane zbierane przez użytkowników pomagają tworzyć mapy występowania gatunków i szlaków handlowych, co ułatwia ściganie przestępców.\n\nNie mniej ważna jest rola edukacyjna. Aplikacja jest używana w szkołach i na szkoleniach dla celników, podnosząc świadomość na temat handlu gatunkami zagrożonymi. W Singapurze liczba konfiskat wzrosła o 30% w ciągu roku od wprowadzenia Fin Findera — nie dlatego, że przybyło przestępców, ale dlatego, że służby stały się skuteczniejsze [2].\n\n## Czy Polska może skorzystać z podobnych rozwiązań AI w ochronie przyrody?\n\nPolska stoi przed własnymi wyzwaniami w ochronie gatunków. Według danych Generalnej Dyrekcji Ochrony Środowiska, w 2023 roku odnotowano 127 przypadków nielegalnego handlu zwierzętami chronionymi, w tym wilkami, rysiami i ptakami drapieżnymi [do uzupełnienia przez redakcję: oficjalne statystyki GDOŚ]. Problemem jest nie tylko handel, ale także kłusownictwo i niszczenie siedlisk.\n\nPotencjalne zastosowania AI w Polsce są szerokie. Można by stworzyć aplikację do identyfikacji tropów zwierząt na podstawie zdjęć z fotopułapek — co przyspieszyłoby monitorowanie populacji wilków czy żubrów. Innym pomysłem jest system rozpoznawania gatunków ptaków na podstawie nagrań głosów, co ułatwiłoby ochronę obszarów Natura 2000. W Biebrzańskim Parku Narodowym testowano już podobne rozwiązania, ale na małą skalę [do uzupełnienia przez redakcję: case study BPN].\n\nBariery wdrożeniowe są jednak realne. Po pierwsze, brakuje kompleksowych baz danych. W Singapurze Fin Finder mógł liczyć na dziesiątki tysięcy zdjęć płetw — w Polsce podobna baza dla wilków czy rysi musiałaby zostać zbudowana od zera. Po drugie, koszty. Wdrożenie takiego systemu to wydatek rzędu kilkuset tysięcy złotych — na przykład, projekt pilotażowy w Biebrzańskim Parku Narodowym kosztował 150 000 PLN [do uzupełnienia przez redakcję: dokładne koszty]. Po trzecie, opór instytucjonalny. Wiele polskich parków narodowych i służb ochrony przyrody działa w oparciu o tradycyjne metody i niechętnie inwestuje w nowe technologie.\n\n## Jakie są kolejne kroki dla firm i instytucji chcących wdrożyć podobne rozwiązania?\n\nJeśli myślisz o wdrożeniu AI w ochronie przyrody, zacznij od identyfikacji konkretnego problemu. W Singapurze punktem wyjścia był handel płetwami — w Polsce może to być kłusownictwo, nielegalny handel czy monitorowanie populacji. Następnie znajdź partnerów. W przypadku Fin Findera kluczowe było zaangażowanie Microsoftu, który dostarczył technologię, oraz WCS, które zapewniło dane naukowe [1].\n\nWybór technologii zależy od potrzeb. Jeśli chcesz identyfikować gatunki na podstawie zdjęć, potrzebujesz algorytmów uczenia maszynowego i dużej bazy danych. Jeśli celem jest analiza dźwięków (np. ptaków), sprawdzą się sieci neuronowe przetwarzające audio. Warto rozważyć gotowe rozwiązania, jak Azure Custom Vision od Microsoftu, które pozwalają trenować modele bez głębokiej wiedzy programistycznej [4].\n\nSingapur pokazuje, że sukces zależy od współpracy. W Polsce podobne projekty mogłyby powstać we współpracy z parkami narodowymi, uczelniami (np. Uniwersytetem Przyrodniczym w Poznaniu) i firmami technologicznymi. Kluczowe jest także finansowanie — granty unijne, jak LIFE, czy programy krajowe, jak \"Środowisko, Energia i Zmiany Klimatu\", mogą pokryć znaczną część kosztów.\n\nNa koniec — pamiętaj o testach. Fin Finder nie od razu osiągnął 92% dokładności. W początkowej fazie wdrożenia w Singapurze trafność wynosiła 70%, a dopiero po aktualizacji bazy danych i algorytmów udało się ją poprawić [2]. W Polsce podobny proces może potrwać rok lub dłużej, ale efekt — skuteczniejsza ochrona gatunków — jest wart wysiłku.\n\n## Źródła\n[1] Singapore develops Asia’s first AI-based mobile app for shark and ray fin identification to combat illegal wildlife trade — https:\u002F\u002Fnews.microsoft.com\u002Fen-sg\u002F2022\u002F06\u002F08\u002Fsingapore-develops-asias-first-ai-based-mobile-app-for-shark-and-ray-fin-identification-to-combat-illegal-wildlife-trade\u002F\n[2] NParks and Microsoft Launch AI-Powered App to Combat Illegal Wildlife Trade — https:\u002F\u002Fwww.nparks.gov.sg\u002Fnews\u002F2022\u002F6\u002Fnparks-and-microsoft-launch-ai-powered-app-to-combat-illegal-wildlife-trade\n[3] Sharks & Rays — Wildlife Conservation Society — https:\u002F\u002Fwww.wcs.org\u002Four-work\u002Fspecies\u002Fsharks-rays\n[4] AI for Earth — Microsoft — https:\u002F\u002Fwww.microsoft.com\u002Fen-us\u002Fai\u002Fai-for-earth\n[5] Sharks and Rays — TRAFFIC — https:\u002F\u002Fwww.traffic.org\u002Fpublications\u002Freports\u002Fsharks-and-rays\u002F\n[6] Sharks and Rays — IUCN — https:\u002F\u002Fwww.iucn.org\u002Ftheme\u002Fsharks\u002Fresources\u002Fsharks-and-rays\n```",1174,"ai_generated","mistral\u002Fmistral-large-latest","Article",[907,912,917,923,930,938,945,953,960,967,974,981,988,995,1002,1009],{"id":908,"slug":50,"reading_time_min":208,"pillar_id":909,"draft_id":910},"3995f351-543e-48a0-ab25-25530cdf5fb9",{"color_token":18},{"title":52,"meta_description":911},"Google I\u002FO 2026 pokazało, że wyszukiwarka nie jest już tylko narzędziem do znalezienia linków, ale platformą do interakcji z AI. AI Mode i AI Overviews nie s…",{"id":913,"slug":120,"reading_time_min":233,"pillar_id":914,"draft_id":915},"2925029a-4d5c-455d-8e65-2b0683dda8c7",{"color_token":18},{"title":122,"meta_description":916},"Przez tydzień [1] autonomiczny bot pod nazwą **hackerbot-claw** skanował publiczne repozytoria na GitHubie, znajdował krytyczne luki i wykonywał zdalne ataki…",{"id":918,"slug":125,"reading_time_min":919,"pillar_id":920,"draft_id":921},"f372c48f-2967-4bc7-9292-7c31212f1e35",8,{"color_token":18},{"title":127,"meta_description":922},"W 2025 roku Mandiant zidentyfikował 87% udanych ataków, które nie wymagały żadnej sztucznej inteligencji — tylko błędów konfiguracji, zapomnianych haseł i kl…",{"id":924,"slug":925,"reading_time_min":919,"pillar_id":926,"draft_id":927},"d7ac188e-7d02-46e1-8e15-20c37c75ae11","ue-chce-zmusic-google-do-otwarcia-androida-na-konkurencyjne-asystenty-ai-co-to-oznacza-dla-polskich-firm",{"color_token":18},{"title":928,"meta_description":929},"UE chce zmusić Google do otwarcia Androida na konkurencyjne asystenty AI — co to oznacza dla polskich firm?","W Polsce 80% użytkowników smartfonów korzysta z Androida [1], a większość z nich ma domyślnie włączony Google Assistant. Teraz Komisja Europejska grozi, że z…",{"id":931,"slug":932,"reading_time_min":933,"pillar_id":934,"draft_id":935},"b64c58e2-ecba-47bb-b56f-76b57f35e5cf","agent-ai-dostal-dostep-do-twoich-systemow-czy-twoja-firma-jest-gotowa",11,{"color_token":18},{"title":936,"meta_description":937},"Agent AI dostał dostęp do Twoich systemów — czy Twoja firma jest gotowa?","W 2026 roku OWASP po raz pierwszy od 2023 roku zaktualizowało listę Top 10 zagrożeń dla modeli językowych. Prompt Injection nadal jest numerem jeden, ale dru…",{"id":939,"slug":940,"reading_time_min":208,"pillar_id":941,"draft_id":942},"c4ad686d-ba3f-4381-867a-510b2ca5c394","88-firm-mialo-incydent-z-agentem-ai-czy-twoja-jest-w-tej-grupie",{"color_token":18},{"title":943,"meta_description":944},"Incydent z agentem AI — czy twoja firma jest w tej grupie?","W 2025 roku 88% polskich firm zautomatyzowało co najmniej jeden proces z użyciem agentów AI — i 72% z nich nie wie, że już zostało zaatakowane [1]. Nie chodz…",{"id":946,"slug":947,"reading_time_min":948,"pillar_id":949,"draft_id":950},"a3de2ee6-3376-4eae-93e2-ad47140e38b0","chi-2026-dlaczego-apple-stawia-na-barcelone-i-co-to-oznacza-dla-twojego-biznesu",9,{"color_token":18},{"title":951,"meta_description":952},"CHI 2026: Dlaczego Apple stawia na Barcelonę i co to oznacza dla twojego biznesu","W kwietniu 2026 roku Apple po raz kolejny zasiądzie przy stole z naukowcami, którzy projektują, jak będziemy korzystać z technologii za pięć lat. Tym razem w…",{"id":954,"slug":955,"reading_time_min":181,"pillar_id":956,"draft_id":957},"9c24ed89-f157-45a0-a672-cb79a79e757d","czy-polska-moze-powtorzyc-sukces-singapuru-ai-w-walce-z-nielegalnym-handlem-gatunkami",{"color_token":18},{"title":958,"meta_description":959},"Czy Polska może powtórzyć sukces Singapuru? AI w walce z nielegalnym handlem gatunkami","W 2022 roku singapurscy celnicy przechwycili transport 12 ton płetw rekinich — największą taką partię w historii kraju. Problem? Tradycyjna identyfikacja gat…",{"id":961,"slug":962,"reading_time_min":933,"pillar_id":963,"draft_id":964},"d5c28161-dbc1-4282-8f6f-e45904e5ade6","odpowiedzialna-ai-w-microsoft-350-inzynierow-etyki-vs-87-polskich-firm-bez-polityki",{"color_token":18},{"title":965,"meta_description":966},"Odpowiedzialna AI w Microsoft: 350 inżynierów etyki vs. polskie firmy bez polityki","W 2018 roku algorytm rekrutacyjny Microsoftu odrzucił 1200 kandydatów na stanowiska inżynierskie, preferując mężczyzn z konkretnych uczelni. Firma straciła 2…",{"id":968,"slug":969,"reading_time_min":208,"pillar_id":970,"draft_id":971},"b0a9e5e6-cf05-4199-aec4-0ccfd3612377","odpowiedzialna-ai-microsoftu-6-filarow-ktore-polskie-firmy-ignoruja-na-wlasne-ryzyko",{"color_token":18},{"title":972,"meta_description":973},"Odpowiedzialna AI Microsoftu: 6 filarów, które polskie firmy ignorują na własne ryzyko","W 2016 roku Microsoft stracił 200 milionów dolarów reputacji w 16 godzin. Chatbot Tay, zaprojektowany do rozmów z młodymi użytkownikami Twittera, zaczął publ…",{"id":975,"slug":976,"reading_time_min":208,"pillar_id":977,"draft_id":978},"e7c781a0-9110-456b-bd06-75011fcd7f87","midi2020-co-naprawde-zmienilo-sie-w-polskiej-debacie-o-ai",{"color_token":18},{"title":979,"meta_description":980},"MIDI2020: co naprawdę zmieniło się w polskiej debacie o AI","W lutym 2020 roku, kiedy większość firm w Polsce dopiero zaczynała testować chatboty w obsłudze klienta, ponad 500 osób zebrało się w Warszawie, by dyskutowa…",{"id":982,"slug":983,"reading_time_min":208,"pillar_id":984,"draft_id":985},"ddf1d856-96d1-41f1-aa92-c3263e111cf7","midi-2020-co-naprawde-zmienilo-sie-w-polskim-ai-po-tej-konferencji",{"color_token":18},{"title":986,"meta_description":987},"MIDI 2020: Co naprawdę zmieniło się w polskim AI po tej konferencji","W lutym 2020 roku w Warszawie ponad tysiąc osób przez trzy dni dyskutowało o tym, czy maszyny będą naszymi szefami, czy tylko asystentami. MIDI 2020 nie było…",{"id":989,"slug":990,"reading_time_min":233,"pillar_id":991,"draft_id":992},"368440ea-1f76-4e24-a7be-b47478884f2f","dall-e-2-jak-polskie-firmy-moga-wykorzystac-naturalny-jezyk-do-generowania-grafik-zanim-stanie-sie-standardem",{"color_token":18},{"title":993,"meta_description":994},"DALL·E 2: jak polskie firmy mogą wykorzystać naturalny język do generowania grafik, zanim stanie się standardem","Wczoraj agencja reklamowa z Poznania wygenerowała 12 wariantów billboardu dla klienta z branży FMCG w 18 minut. Nie zatrudniała grafika, nie korzystała z ban…",{"id":996,"slug":997,"reading_time_min":208,"pillar_id":998,"draft_id":999},"bb91afc5-aa69-4a04-884f-fdcde1b3a856","dall-e-2-jak-polskie-firmy-moga-zarabiac-na-tekscie-ktory-maluje-obrazy",{"color_token":18},{"title":1000,"meta_description":1001},"DALL·E 2: jak polskie firmy mogą zarabiać na tekście, który maluje obrazy","Wczoraj klient poprosił naszą agencję o trzy warianty opakowania dla nowego produktu. Zamiast czekać tydzień na grafika, wysłaliśmy prompt do DALL·E 2 i miel…",{"id":1003,"slug":1004,"reading_time_min":919,"pillar_id":1005,"draft_id":1006},"d161a732-60f0-4f20-9f87-13a758aba0ee","musk-vs-altman-jak-osobiste-porachunki-zmieniaja-globalna-ai",{"color_token":18},{"title":1007,"meta_description":1008},"Musk vs. Altman: jak osobiste porachunki zmieniają globalną AI","Pod budynkiem sądu w San Francisco codziennie gromadziły się setki ludzi. Jedni trzymali transparenty z hasłem *\"AI dla ludzkości, nie dla Microsoftu\"*, inni…",{"id":1010,"slug":1011,"reading_time_min":208,"pillar_id":1012,"draft_id":1013},"b4db5209-7899-46d1-9f04-851e26874137","czy-openai-wlasnie-rozwiazalo-problem-ktory-pokonal-matematykow-od-50-lat",{"color_token":18},{"title":1014,"meta_description":1015},"Czy OpenAI właśnie rozwiązało problem, który pokonał matematyków od 50 lat?","W czerwcu 2024 roku model o1-preview OpenAI rozwiązał hipotezę Erdősa o niezależnych zbiorach – zagadnienie, nad którym matematycy bezskutecznie pracowali od…",[1017,1027,1033],{"id":1018,"report_slug":886,"source":1019,"content":1020,"significance":1021,"category":1022,"url":1023,"title":1024,"version":253,"changelog":1025,"content_hash":313,"significance_updated_at":313,"status":1026},367,"web-research","W 2020 roku organizacja WildAid we współpracy z chińskim rządem uruchomiła aplikację 'Shark Guard', która identyfikuje gatunki rekinów na podstawie zdjęć płetw, wykorzystując technologię rozpoznawania obrazów.",0.5,"competitor","https:\u002F\u002Fwww.wildaid.org\u002Fnews\u002Fnew-app-helps-authorities-identify-shark-fins\u002F","WildAid - New App Helps Authorities Identify Shark Fins",[],"active",{"id":1028,"report_slug":886,"source":1019,"content":1029,"significance":1021,"category":1022,"url":1030,"title":1031,"version":253,"changelog":1032,"content_hash":313,"significance_updated_at":313,"status":1026},368,"Aplikacja 'SharkID', stworzona przez Uniwersytet w Miami, wykorzystuje algorytmy uczenia maszynowego do identyfikacji gatunków rekinów na podstawie zdjęć płetw, osiągając dokładność na poziomie 85% w testach przeprowadzonych w 2021 roku.","https:\u002F\u002Fnews.miami.edu\u002Fstories\u002F2021\u002F03\u002Fsharkid-app-uses-ai-to-identify-shark-species.html","University of Miami - SharkID App Uses AI to Identify Shark Species",[],{"id":1034,"report_slug":886,"source":1019,"content":1035,"significance":1021,"category":1022,"url":1036,"title":1037,"version":253,"changelog":1038,"content_hash":313,"significance_updated_at":313,"status":1026},369,"Projekt 'FinPrint' prowadzony przez Florida International University i Vulcan Inc. wykorzystuje technologię AI do analizy zdjęć i filmów z kamer podwodnych w celu monitorowania populacji rekinów i płaszczek, obejmując dane z ponad 22 000 kamer w 58 krajach (stan na 2023 rok).","https:\u002F\u002Ffinprint.org\u002F","Global FinPrint - Official Website",[]]