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40%","2026-10-15T04:15:18.572Z",{"id":781,"type":304,"title":379,"body":782,"tool_name":381,"z2u_price":726,"z2u_url":382,"status":310,"read_at":48,"created_at":783},1261,"Platforma: Dealify | Kategoria: Creative | Cena: €66.95 (regular: €225.95) | Rabat: 70%","2026-10-15T04:15:18.431Z",{"id":785,"type":304,"title":386,"body":786,"tool_name":388,"z2u_price":726,"z2u_url":389,"status":310,"read_at":48,"created_at":787},1260,"Platforma: Dealify | Kategoria: Creative | Cena: €66.95 (regular: €257.95) | Rabat: 74%","2026-10-15T04:15:18.289Z",{"id":789,"type":304,"title":401,"body":790,"tool_name":403,"z2u_price":726,"z2u_url":404,"status":310,"read_at":48,"created_at":791},1259,"Platforma: Dealify | Kategoria: Productivity | Cena: €66.95 (regular: €669.95) | Rabat: 90%","2026-10-15T04:15:16.690Z",{"id":793,"type":304,"title":408,"body":790,"tool_name":409,"z2u_price":726,"z2u_url":410,"status":310,"read_at":48,"created_at":794},1258,"2026-10-15T04:15:16.547Z",{"id":796,"type":304,"title":797,"body":798,"tool_name":799,"z2u_price":765,"z2u_url":800,"status":310,"read_at":48,"created_at":801},1257,"💰 StickyPassword — spadek ceny","Platforma: Dealify | Kategoria: Productivity | Cena: €32.95 (regular: €218.95) | Rabat: 85%","StickyPassword","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fstickypassword","2026-10-15T04:15:15.904Z",{"id":803,"type":304,"title":804,"body":805,"tool_name":806,"z2u_price":765,"z2u_url":807,"status":310,"read_at":48,"created_at":808},1256,"💰 Notepad — spadek ceny","Platforma: Dealify | Kategoria: Productivity | Cena: €32.95 (regular: €329.95) | Rabat: 90%","Notepad","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fnotepad","2026-10-15T04:15:15.108Z",{"id":810,"type":304,"title":811,"body":812,"tool_name":813,"z2u_price":814,"z2u_url":815,"status":310,"read_at":48,"created_at":816},1255,"💰 FlashBooks — spadek ceny","Platforma: Dealify | Kategoria: Productivity | Cena: €282.95 (regular: €1973.95) | Rabat: 86%","FlashBooks",282.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Fflashbooks","2026-10-15T04:15:14.664Z",{"id":818,"type":304,"title":819,"body":820,"tool_name":821,"z2u_price":822,"z2u_url":823,"status":310,"read_at":48,"created_at":824},1254,"💰 Envoice — spadek ceny","Platforma: Dealify | Kategoria: Business | Cena: €157.95 (regular: €1576.95) | Rabat: 90%","Envoice",157.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Fenvoice","2026-10-15T04:15:12.373Z",{"id":826,"type":304,"title":452,"body":827,"tool_name":454,"z2u_price":726,"z2u_url":455,"status":310,"read_at":48,"created_at":828},1253,"Platforma: Dealify | Kategoria: Business | Cena: €66.95 (regular: €669.95) | Rabat: 90%","2026-10-15T04:15:12.225Z",{"id":830,"type":304,"title":459,"body":831,"tool_name":461,"z2u_price":609,"z2u_url":463,"status":310,"read_at":48,"created_at":832},1252,"Platforma: Dealify | Kategoria: Business | Cena: €336.95 (regular: €3369.95) | Rabat: 90%","2026-10-15T04:15:11.677Z",{"id":834,"type":304,"title":835,"body":836,"tool_name":837,"z2u_price":838,"z2u_url":839,"status":310,"read_at":48,"created_at":840},1251,"💰 LeadLocator — spadek ceny","Platforma: Dealify | Kategoria: Business | Cena: €191.95 (regular: €1917.95) | Rabat: 90%","LeadLocator",191.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Fleadlocator","2026-10-15T04:15:11.332Z",{"id":842,"type":304,"title":482,"body":843,"tool_name":484,"z2u_price":726,"z2u_url":485,"status":310,"read_at":48,"created_at":844},1250,"Platforma: Dealify | Kategoria: Social Media | Cena: €66.95 (regular: €669.95) | Rabat: 90%","2026-10-15T04:15:09.802Z",{"id":846,"type":304,"title":489,"body":843,"tool_name":490,"z2u_price":726,"z2u_url":491,"status":310,"read_at":48,"created_at":847},1249,"2026-10-15T04:15:09.556Z",[849],{"id":850,"slug":851,"canonical_url":852,"cover_image":853,"published_at":854,"last_refreshed_at":855,"reading_time_min":293,"pillar_id":856,"author_id":857,"draft_id":864},"1b27040d-395f-483f-a3e5-ac811bc2dba1","30-sekund-zamiast-5-minut-dlaczego-programisci-python-odchodza-od-pip-na-rzecz-uv","https:\u002F\u002Fai-odkrywca.pl\u002Fposts\u002F30-sekund-zamiast-5-minut-dlaczego-programisci-python-odchodza-od-pip-na-rzecz-uv","1aef3eaa-f478-47c2-a148-7c01589a1e67","2026-08-18T13:47:35.922Z","2026-10-23T10:01:39.395Z",{"id":5,"name":7,"slug":6,"color_token":8},{"display_name":858,"slug":859,"bio_short":860,"social_links":861},"Andrzej Niemiec","andrzej-niemiec","Fanatyk nowych technologii i specjalista w zakresie sztucznej inteligencji.",{"linkedin":862,"x":48,"github":48,"website":863},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fandrzej-niemiec-b3ab60220\u002F","https:\u002F\u002Faion-automation.pl",{"title":865,"meta_description":866,"body_mdx":867,"word_count":868,"author_type":869,"ai_model_used":870,"schema_type":871},"uv zamiast pip: jak szybki jest menedżer pakietów Pythona","uv od Astral według dokumentacji jest 10–100× szybszy od pip. Sprawdzamy niezależne benchmarki, różnice kompatybilności i zasady bezpiecznej migracji.","## Czym jest uv i dlaczego mówi się, że zastępuje pip?\n\nuv to menedżer pakietów i projektów Pythona napisany w Rust, rozwijany przez Astral. Pierwsze wydanie ukazało się w lutym 2024 roku jako odpowiedź na typowe przepływy pip [1]. Narzędzie obejmuje instalowanie zależności, środowiska wirtualne, lockfile, zarządzanie wersjami Pythona, narzędzia CLI i uruchamianie skryptów [2]. Polscy autorzy opisują je jako zamiennik pip, venv\u002Fvirtualenv, pip-tools, pyenv i pipx, a w dużej mierze także Poetry [3]. Szerszy kontekst narzędzi wspierających pracę programisty zebraliśmy w hubie [AI do programowania](\u002Fai-do\u002Fprogramowania).\n\nNazwa „szybszy pip” jest wygodna, ale niepełna. uv nie tylko instaluje pakiety, lecz także prowadzi projekt: tworzy środowisko, zapisuje wersje w pliku blokady i pozwala uruchamiać skrypty w tym środowisku bez ręcznej aktywacji. To inne podejście do pracy niż dokładanie kolejnych wtyczek do pip.\n\n## Jak szybki jest uv w porównaniu z pip?\n\nOficjalna dokumentacja podaje ogólnie 10–100× większą szybkość niż pip, ale nie obiecuje jednego wyniku dla każdego projektu [2]. Niezależny test Real Python zmierzył instalację JupyterLab: 21,409 s przez pip i 2,618 s przez `uv pip`, czyli około 8,2× szybciej. Dla zestawu kilku pakietów ten sam test dał 9,968 s wobec 2,173 s [4]. Astral publikuje własne benchmarki [5].\n\nWynik zależy od liczby i rozmiaru zależności, systemu, sprzętu, sieci oraz stanu cache'a [4][5]. Dlatego liczbę „razy szybciej” warto czytać razem z metodologią: listą pakietów, wersjami narzędzi, informacją o cache'u i dokładnymi komendami. Bez tego porównanie bywa nieporównywalne.\n\n## Czy programiści Pythona naprawdę odchodzą od pip?\n\nDane pokazują rosnącą obecność uv, ale nie masową migrację. W badaniu Python Developers Survey 2024 uv wskazało 11% respondentów jako narzędzie izolowania środowisk i 9% jako narzędzie zarządzania zależnościami [6]. W badaniu Stack Overflow 2025 uv było „najbardziej podziwianą” technologią — 74% wskazań w tej kategorii [7].\n\nTe dwie liczby opisują coś innego niż udział w rynku. „Najbardziej podziwiana” technologia oznacza wysoką ocenę wśród osób, które ją znają, a nie powszechne użycie w projektach produkcyjnych. pip pozostaje domyślnym narzędziem w większości istniejących repozytoriów i dokumentacji.\n\n## Co uv robi inaczej niż pip?\n\nuv domyślnie preferuje środowiska wirtualne. pip potrafi instalować do środowiska systemowego, gdy żadne środowisko nie jest aktywne [8]. Ta różnica jest operacyjna, nie kosmetyczna: wpływa na to, gdzie trafiają pakiety i jak zachowuje się skrypt uruchamiany z terminala.\n\nDrugą różnicą jest globalny cache. Kolejne instalacje mogą być szybsze, bo pakiety są współdzielone między projektami. W CI skuteczność zależy jednak od tego, czy cache jest prawidłowo zachowywany i czy narzędzie szuka go w tym samym miejscu [9].\n\nTrzecia różnica to interfejs zgodny z pip. Komenda `uv pip install -r requirements.txt` pozwala zacząć migrację bez natychmiastowej przebudowy projektu [10]. To najłagodniejszy sposób sprawdzenia uv w istniejącym repozytorium — najpierw instalacja, potem decyzja o lockfile i strukturze projektu.\n\n## Jakie ograniczenia ma uv?\n\nuv nie jest dokładnym klonem pip. Nie obsługuje wszystkich jego opcji, inaczej interpretuje konfigurację indeksów i domyślnie stosuje strategię `first-index` [11]. W praktyce oznacza to, że prywatne rejestry i ochrona przed dependency confusion wymagają sprawdzenia konfiguracji przed migracją.\n\nDo tego dochodzą typowe problemy z dojrzewaniem narzędzia: autorzy blogów opisują quirki zauważone po roku adopcji [12], a wydanie 0.13.1 z 14 października 2026 roku zawierało między innymi poprawki bezpieczeństwa, obsługę Linux SPARC i wsparcie dla CPython 3.16.0a1 [13]. Wniosek: przed przejściem na produkcję warto przypiąć wersję narzędzia i przetestować ją w CI.\n\n## uv czy pip — co wybrać w praktyce?\n\n| Kryterium | uv | pip |\n|---|---|---|\n| Zakres | zależności, środowiska, lockfile, wersje Pythona, CLI | instalacja pakietów, reszta w osobnych narzędziach |\n| Deklarowana szybkość | 10–100× szybciej wg dokumentacji | poziom odniesienia |\n| Domyślne środowisko | preferuje środowisko wirtualne | może instalować do systemowego |\n| Lockfile | własny format | brak, potrzebne pip-tools |\n| Kompatybilność opcji pip | częściowa | pełna |\n| Cache | globalny | lokalny |\n\nDla nowego projektu uv jest wygodniejszy, bo od początku prowadzi środowisko i plik blokady. Dla starego repozytorium z prywatnym rejestrem i nietypowymi opcjami pip bezpieczniejszy jest etap pośredni: `uv pip` obok istniejącego pipeline'u. W ekosystemie widać też praktykę łączenia uv z Ruffem jako zestawem narzędzi do codziennej pracy [14].\n\n## Jak zacząć migrację bez ryzyka?\n\nPierwszy krok to instalacja uv i uruchomienie go w trybie pip na istniejącym `requirements.txt` [10]. Drugi to sprawdzenie, czy wszystkie pakiety instalują się poprawnie w środowisku wirtualnym utworzonym przez uv. Trzeci to decyzja o pliku blokady i ewentualne przeniesienie konfiguracji do `pyproject.toml`.\n\nMigrację warto zacząć od mniejszego projektu lub od jednego pipeline'u CI, a nie od repozytorium produkcyjnego obsługującego klientów. Przed wdrożeniem trzeba też sprawdzić politykę indeksów i prywatne rejestry, bo to tam różnice kompatybilności ujawniają się najczęściej [11]. Więcej o bibliotekach do pracy z danymi piszemy w tekście o [bibliotekach Python do pipeline'ów danych](\u002Fposts\u002F10-bibliotek-python-ktore-przyspiesza-twoje-pipeline-y-danych-w-2026-bez-marketingowego-szumu).\n\n## Najczęstsze pytania\n\n### Czy uv zastąpi pip?\n\nNie w najbliższym czasie. uv ma rosnącą adopcję i wysokie oceny w badaniach społeczności [7], ale pip pozostaje domyślnym narzędziem w istniejących projektach i dokumentacji. Bardziej prawdopodobny scenariusz to współistnienie: uv w nowych projektach, pip w starszych repozytoriach.\n\n### Ile razy uv jest szybszy od pip?\n\nDokumentacja podaje zakres 10–100× [2]. Niezależny test instalacji JupyterLab dał około 8,2× szybciej, a dla kilku pakietów 9,968 s wobec 2,173 s [4]. Rzeczywisty wynik zależy od pakietów, sprzętu, sieci i cache'a, więc jedna liczba nie opisze każdego projektu.\n\n### Czy uv działa z istniejącym requirements.txt?\n\nTak. Komenda `uv pip install -r requirements.txt` instaluje zależności z istniejącego pliku, co pozwala sprawdzić narzędzie bez przepisywania projektu [10]. Trzeba jednak pamiętać, że uv nie obsługuje wszystkich opcji pip i inaczej interpretuje konfigurację indeksów [11].\n\n### Co się stanie z prywatnym rejestrem pakietów?\n\nWarto sprawdzić konfigurację przed migracją. uv domyślnie stosuje strategię `first-index`, inaczej niż część konfiguracji pip, co może wpływać na prywatne rejestry i ochronę przed dependency confusion [11]. Test na jednym projekcie pokaże, czy wymagane jest dodatkowe ustawienie indeksów.\n\n### Czy uv ma własny format pliku blokady?\n\nTak, uv prowadzi własny plik blokady w projekcie [2]. Oznacza to, że nie jest to zamiennik jeden do jednego dla plików innych narzędzi i przy migracji trzeba zaplanować, który mechanizm blokowania wersji zostaje w repozytorium.\n\n## Źródła\n\n1. [uv: Unified Python packaging (Astral, 2024)](https:\u002F\u002Fastral.sh\u002Fblog\u002Fuv-unified-python-packaging)\n2. [uv — Astral Docs (Astral, 2026)](https:\u002F\u002Fdocs.astral.sh\u002Fuv)\n3. [UV — szybki menedżer pakietów i środowisk Pythona (rafalsarniak.com, 2026)](https:\u002F\u002Frafalsarniak.com\u002Fpl\u002Farticles\u002Fuv-szybki-menedzer-pakietow-i-srodowisk-pythona-samouczek)\n4. [uv vs pip: Managing Python Packages and Dependencies (Real Python, 2026)](https:\u002F\u002Frealpython.com\u002Fuv-vs-pip)\n5. [Benchmarks (Astral Docs, 2026)](https:\u002F\u002Fdocs.astral.sh\u002Fuv\u002Freference\u002Fbenchmarks)\n6. [Python Developers Survey 2024 Results (JetBrains, 2024)](https:\u002F\u002Flp.jetbrains.com\u002Fpython-developers-survey-2024)\n7. [2025 Stack Overflow Developer Survey (Stack Overflow, 2025)](https:\u002F\u002Fsurvey.stackoverflow.co\u002F2025)\n8. [Using environments (Astral Docs, 2026)](https:\u002F\u002Fdocs.astral.sh\u002Fuv\u002Fpip\u002Fenvironments)\n9. [Caching (Astral Docs, 2026)](https:\u002F\u002Fdocs.astral.sh\u002Fuv\u002Fconcepts\u002Fcache)\n10. [The pip interface (Astral Docs, 2026)](https:\u002F\u002Fdocs.astral.sh\u002Fuv\u002Fpip)\n11. [Compatibility with pip (Astral Docs, 2026)](https:\u002F\u002Fdocs.astral.sh\u002Fuv\u002Fpip\u002Fcompatibility)\n12. [uv Python Package Manager Quirks a Year Into Adoption (Plotly, 2026)](https:\u002F\u002Fplotly.com\u002Fblog\u002Fuv-python-package-manager-quirks)\n13. [Release 0.13.1 (GitHub, 2026)](https:\u002F\u002Fgithub.com\u002Fastral-sh\u002Fuv\u002Freleases\u002Ftag\u002F0.13.1)\n14. [Dlaczego używam UV z Ruffem w projektach Python (gburek.dev, 2026)](https:\u002F\u002Fgburek.dev\u002Fpl\u002Fblog\u002Fwhy-i-use-ruff)",1165,"ai_generated","deepseek\u002Fdeepseek-v4.1-flash","Article",[873,881,889,896,903,910,917,924,931,938,945,950,957,964,971,976],{"id":874,"slug":875,"reading_time_min":876,"pillar_id":877,"draft_id":878},"ee48147b-2e28-406f-8a77-f660ce38123c","chatgpt-w-finansach-osobistych-doradca-za-99-zl-miesiecznie-czy-ryzykowny-eksperyment",8,{"color_token":8},{"title":879,"meta_description":880},"ChatGPT w finansach osobistych: doradca za 99 zł miesięcznie czy ryzykowny eksperyment?","Wczoraj wieczorem dostałem wiadomość od znajomego z USA: *\"Sprzedałem akcje, bo ChatGPT mi powiedział\"*. Nie pytał o moją opinię, nie sprawdził rekomendacji …",{"id":882,"slug":883,"reading_time_min":884,"pillar_id":885,"draft_id":886},"e58d95ee-54cb-4f45-b059-f4b188b3ec15","stable-audio-3-ile-kosztuje-godzina-muzyki-wygenerowanej-przez-ai",9,{"color_token":8},{"title":887,"meta_description":888},"Stable Audio 3: ile kosztuje godzina muzyki wygenerowanej przez AI?","Wczoraj zespół sound designerów z warszawskiego studia animacji spędził 4 godziny na nagrywaniu odgłosów deszczu i wiatru do nowego projektu. Dziś ten sam ef…",{"id":890,"slug":891,"reading_time_min":876,"pillar_id":892,"draft_id":893},"ab9e303d-df33-4547-b444-41d09740896e","chatgpt-w-finansach-osobistych-co-zmienia-i-dlaczego-polskie-firmy-powinny-sie-tym-zainteresowac",{"color_token":8},{"title":894,"meta_description":895},"ChatGPT w finansach osobistych: co zmienia i dlaczego polskie firmy powinny się tym zainteresować","W maju 2024 roku OpenAI uruchomiło funkcję, która może przedefiniować, jak zarządzamy pieniędzmi. Użytkownicy ChatGPT Pro w USA mogą teraz łączyć swoje konta…",{"id":897,"slug":898,"reading_time_min":206,"pillar_id":899,"draft_id":900},"fd6b3c51-e0f6-4ea0-b5e4-cd9bec1d9bfc","chatgpt-do-finansow-osobistych-czy-openai-zastapi-twojego-doradce",{"color_token":8},{"title":901,"meta_description":902},"ChatGPT do finansów osobistych: czy OpenAI zastąpi twojego doradcę?","Wczoraj wieczorem Marcin, właściciel małej kawiarni w Krakowie, spędził 45 minut na rozmowie z ChatGPT o swoich oszczędnościach. Zamiast wertować arkusze Exc…",{"id":904,"slug":905,"reading_time_min":876,"pillar_id":906,"draft_id":907},"21872906-2f74-4c19-8c12-5114f4833249","chatgpt-do-budzetu-oszczedza-czas-ale-czy-twoje-dane-sa-bezpieczne",{"color_token":8},{"title":908,"meta_description":909},"ChatGPT do budżetu: oszczędza czas, ale czy twoje dane są bezpieczne?","Wczoraj wieczorem Marek, 34-letni właściciel warszawskiego biura rachunkowego, spędził godzinę na ręcznym kategorizowaniu wydatków w arkuszu kalkulacyjnym. D…",{"id":911,"slug":912,"reading_time_min":876,"pillar_id":913,"draft_id":914},"3945db9f-c70a-469d-84c9-9671274c0c8c","chatgpt-w-finansach-osobistych-co-naprawde-potrafi-i-dlaczego-polskie-banki-powinny-sie-bac",{"color_token":8},{"title":915,"meta_description":916},"ChatGPT w finansach osobistych: co naprawdę potrafi i dlaczego polskie banki powinny się bać","Wczoraj OpenAI udostępniło w USA funkcję, która pozwala ChatGPT łączyć się z kontami bankowymi i generować porady finansowe w czasie rzeczywistym. Brzmi jak …",{"id":918,"slug":919,"reading_time_min":206,"pillar_id":920,"draft_id":921},"72800cb5-0c42-47eb-a557-5656693bbe95","ernie-qwen-czy-zit-ktory-model-ai-do-obrazow-wybrac-gdy-liczy-sie-czas-i-jakosc",{"color_token":8},{"title":922,"meta_description":923},"ERNIE, Qwen czy ZiT? Który model AI do obrazów wybrać, gdy liczy się czas i jakość","W zeszłym miesiącu zespół marketingu spółki z o.o. z Wrocławia stanął przed problemem: potrzebowali 50 grafik na kampanię social media w trzy dni. Zlecili to…",{"id":925,"slug":926,"reading_time_min":231,"pillar_id":927,"draft_id":928},"8b4959e2-8ff2-41f5-a566-00ca95d1118a","moe-vs-dense-kto-wygrywa-w-lokalnych-wdrozeniach-ai",{"color_token":8},{"title":929,"meta_description":930},"MoE vs dense: kto wygrywa w lokalnych wdrożeniach AI?","Użytkownik Different_Fix_2217 z Reddita odkrył, że Mixtral-8x7B odpowiada na polskie pytania lepiej niż Llama-3-8B, zużywając przy tym o 25% mniej pamięci. T…",{"id":932,"slug":933,"reading_time_min":231,"pillar_id":934,"draft_id":935},"623dfd30-6bbf-43e3-b37f-ea1662660bbe","kupiles-6-narzedzi-ai-ale-uzywasz-tylko-jednego-oto-jak-przestac-marnowac-budzet",{"color_token":8},{"title":936,"meta_description":937},"Kupiłeś 6 narzędzi AI, ale używasz tylko jednego. Oto jak przestać marnować budżet","W zeszłym miesiącu rozmawiałem z prezesem 40-osobowej agencji marketingowej z Wrocławia. Pokazał mi folder na pulpicie: *\"AI stuff\"*. W środku 17 zakładek do…",{"id":939,"slug":940,"reading_time_min":179,"pillar_id":941,"draft_id":942},"17a278f1-1883-4b99-bb87-554b79110090","laguna-xs-2-vs-m-1-dlaczego-polskie-firmy-testuja-lokalne-modele-jezykowe",{"color_token":8},{"title":943,"meta_description":944},"Laguna XS.2 vs M.1: dlaczego polskie firmy testują lokalne modele językowe","Wczoraj zespół Poolside AI udostępnił dwa nowe modele językowe – Laguna XS.2 i Laguna M.1. W ciągu pierwszych 24 godzin repozytorium na Hugging Face zanotowa…",{"id":946,"slug":118,"reading_time_min":876,"pillar_id":947,"draft_id":948},"bb966432-025e-415f-a65d-a0b902dda934",{"color_token":8},{"title":120,"meta_description":949},"Nemotron 3 Nano 4B to model NVIDIA z 3,97 mld parametrów i kontekstem 262 tys. tokenów. Sprawdzamy architekturę, wyniki i wydajność lokalną.",{"id":951,"slug":952,"reading_time_min":179,"pillar_id":953,"draft_id":954},"97cb5082-295b-44be-89cc-f98db8f9703b","47-zakladek-200-tysiecy-zlotych-w-bloto-jak-przestac-kupowac-ai-ktorego-nie-potrzebujesz",{"color_token":8},{"title":955,"meta_description":956},"47 zakładek, 200 tysięcy złotych w błoto – jak przestać kupować AI, którego nie potrzebujesz","W zeszłym miesiącu prezes spółki z branży e-commerce pokazał mi folder na pulpicie: „AI stuff”. W środku 47 nieotwartych zakładek do narzędzi, które kupił po…",{"id":958,"slug":959,"reading_time_min":206,"pillar_id":960,"draft_id":961},"6d54a5d0-0ab5-4abf-89e9-b58e64a4197b","milion-tokenow-w-praktyce-czy-deepseek-v4-naprawde-zmienia-zasady-gry",{"color_token":8},{"title":962,"meta_description":963},"Milion tokenów w praktyce: czy DeepSeek-V4 naprawdę zmienia zasady gry?","W biurze kancelarii prawnej w Warszawie analityk spędził trzy dni na przeglądaniu 400-stronicowej umowy joint venture. Gdy wrzucił dokument do DeepSeek-V4, m…",{"id":965,"slug":966,"reading_time_min":179,"pillar_id":967,"draft_id":968},"8e0353d7-5e1c-46a5-bfec-8d929c7ea937","chatgpt-w-finansach-osobistych-co-naprawde-zmienia-i-dlaczego-polskie-firmy-powinny-to-sledzic",{"color_token":8},{"title":969,"meta_description":970},"ChatGPT w finansach osobistych: co naprawdę zmienia i dlaczego polskie firmy powinny to śledzić","Od czerwca 2024 roku użytkownicy ChatGPT Pro w USA mogą połączyć swoje konta bankowe z AI i dostać poradę finansową w 8 sekund. Brzmi jak sci-fi, ale działa …",{"id":972,"slug":40,"reading_time_min":206,"pillar_id":973,"draft_id":974},"fe13a3ea-5437-499e-95ab-fb7bfd832610",{"color_token":8},{"title":42,"meta_description":975},"Zapier, Make i n8n w jednym porównaniu: co potrafią agenci AI w 2026, ile kosztują plany i gdzie wdrożenia zawodzą po wyjściu z demo.",{"id":977,"slug":978,"reading_time_min":293,"pillar_id":979,"draft_id":980},"2e737281-4130-493b-aeab-68098f74befd","chatgpt-w-finansach-osobistych-czy-za-20-dolarow-miesiecznie-dostaniesz-lepszego-doradce-niz-w-banku",{"color_token":8},{"title":981,"meta_description":982},"ChatGPT w finansach osobistych: czy za 20 dolarów miesięcznie dostaniesz lepszego doradcę niż w banku?","W czerwcu 2024 roku OpenAI uruchomiło funkcję, która może zmienić sposób, w jaki Polacy zarządzają domowym budżetem. Za 20 dolarów miesięcznie użytkownicy Ch…",[]]