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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":206,"pillar_id":856,"author_id":857,"draft_id":864},"07d2e31b-b201-415f-9c1e-9494213613ef","gpt-5-5-vs-opus-4-7-w-kodowaniu-ktory-model-naprawde-oszczedza-czas-i-pieniadze","https:\u002F\u002Fai-odkrywca.pl\u002Fposts\u002Fgpt-5-5-vs-opus-4-7-w-kodowaniu-ktory-model-naprawde-oszczedza-czas-i-pieniadze","bec108a2-8f1c-4b9a-88c2-924c42be7750","2026-08-18T21:57:14.986Z","2026-10-21T22:15:59.436Z",{"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},"GPT-5.5 vs Opus 4.7 w kodowaniu: benchmarki, ceny i wybór","Porównanie GPT-5.5 i Claude Opus 4.7 w kodowaniu: deklarowane benchmarki, ceny API za tokeny, kontekst do 1 mln tokenów i status obu modeli w październiku 2026.","## Czy GPT-5.5 i Claude Opus 4.7 to nadal aktualne modele?\n\nOba istnieją, ale w październiku 2026 żaden nie jest już najnowszym modelem swojej firmy. OpenAI udostępniło GPT-5.5 23 kwietnia 2026 r. [1], a Anthropic ogłosił Claude Opus 4.7 16 kwietnia 2026 r. [2]. Release notes OpenAI podają, że GPT-5.5 wycofano z ChatGPT, ChatGPT Work i Codex 14 października 2026 r., z zachowanym dostępem przez API [4]. Strona Anthropic prezentuje już Opus 4.8, ogłoszony 28 maja 2026 r. [5]. Porównanie dotyczy więc pracy przez API, nie czatu.\n\nAktualne plany, limity i ceny ChatGPT w Polsce zbiera strona [ChatGPT](\u002Fchatgpt).\n\n## Jakie wyniki benchmarków deklarują producenci?\n\nOpenAI podaje dla GPT-5.5 82,7% w Terminal-Bench 2.0 i 58,6% w SWE-Bench Pro [1]. Anthropic w omawianych materiałach nie podaje jednego zbiorczego wyniku liczbowego, tylko opis zmian w modelu. Zestawienie getaiperks.pl wskazuje, że GPT-5.5 wyprzedza Opus 4.7 w Terminal-Bench o 13 punktów procentowych [6], a devstockacademy pisze, że Claude nadal prowadzi w SWE-Bench Pro [7].\n\nOpis Opus 4.7 koncentruje się na długich zadaniach programistycznych, dokładniejszym wykonywaniu instrukcji, samoweryfikacji i obsłudze narzędzi [2]. Dokumentacja modelu dodaje obsługę kontekstu do 1 mln tokenów [3]. To inne kryterium niż wynik w benchmarku: mówi o tym, ile kodu model przyjmie naraz, a nie o tym, jak szybko domknie zadanie.\n\nTrzy zastrzeżenia są tu ważniejsze niż same liczby. Wyniki pochodzą od producenta albo z portalu porównawczego. Terminal-Bench i SWE-Bench mierzą rozwiązywanie wyodrębnionych zadań, nie czas od zgłoszenia błędu do wdrożenia, koszt przeglądu kodu, regresje i nadzór człowieka. Rzetelny wynik powinien podawać konfigurację modelu, poziom effort, użyte narzędzia i liczbę prób. Bez tego 82,7% i 58,6% [1] opisują zadanie testowe, a nie produktywność zespołu.\n\n## Co pokazują porównania redakcyjne?\n\nDataCamp, MindStudio, SII i getaiperks zestawiają oba modele w tych samych kategoriach: kodowanie, rozumowanie, użycie narzędzi i ceny [8][9][10][6]. MindStudio twierdzi, że GPT-5.5 zużywa o 72% mniej tokenów wyjściowych niż Opus 4.7 na tych samych zadaniach [9]. To pojedyncze źródło redakcyjne, bez publicznie opisanej metodologii, więc traktujemy je jako tezę do sprawdzenia, nie jako pomiar.\n\nSII porównuje GPT-5.4 z Claude Opus 4.7 [10], czyli inną parę modeli niż tytułowa. Wniosek z tych tekstów jest wspólny: różnice zależą od zadania, a nie od jednej trwałej przewagi. Więcej o tym, jak OpenAI scala kolejne modele w Codexie, piszemy w artykule [GPT-5.5 połknął Codex](\u002Fposts\u002Fgpt-5-5-polknal-codex-czy-developerzy-straca-precyzje-za-uniwersalnosc).\n\n## Ile kosztuje token w GPT-5.5 i Opus 4.7?\n\nPrzy premierze Anthropic podawał 5 USD za 1 mln tokenów wejściowych i 25 USD za 1 mln wyjściowych dla Opus 4.7 [2]. OpenAI podawało dla GPT-5.5 5 USD za 1 mln wejściowych i 30 USD za 1 mln wyjściowych [1]. Cena wejścia jest identyczna, a różnica siedzi w tokenach wyjściowych.\n\n| Kryterium | GPT-5.5 | Claude Opus 4.7 |\n|---|---|---|\n| Cena wejścia (API, stan na październik 2026) | 5 USD \u002F 1 mln tokenów [1] | 5 USD \u002F 1 mln tokenów [2] |\n| Cena wyjścia (API) | 30 USD \u002F 1 mln tokenów [1] | 25 USD \u002F 1 mln tokenów [2] |\n| Kontekst | materiały OpenAI w tym zestawieniu nie podają limitu | do 1 mln tokenów [3] |\n| Tokenizacja | brak danych w źródłach | ok. 1–1,35× więcej tokenów niż Opus 4.6 [3] |\n| Dostępność 16.10.2026 | API; wycofany z ChatGPT, Work i Codex [4] | API i produkty Anthropic; w ofercie jest już Opus 4.8 [5] |\n\nDokumentacja Anthropic ostrzega, że nowy tokenizer może generować około 1–1,35 raza więcej tokenów niż w Opus 4.6, zależnie od treści [3]. Sama cena za token nie przesądza więc o koszcie zadania: tańszy token wyjściowy może zostać zjedzony przez większą liczbę tokenów.\n\n## Czy cena API wystarcza do policzenia kosztu projektu?\n\nNie. Rachunek zależy od liczby iteracji, użytych narzędzi, cache'owania, długości kontekstu i ponowień [1][2]. Subskrypcja to osobna pozycja od API: Plus kosztuje 20 USD miesięcznie, a Go 8 USD miesięcznie [11]. Po kursie NBP z 15 października 2026, czyli 3,8952 USD\u002FPLN, daje to około 78 zł i 31 zł miesięcznie [12].\n\nOpenAI obsługuje rozliczenia w złotych dla Polski, ale zmiana waluty wymaga anulowania i ponownej subskrypcji po okresie rozliczeniowym [13]. Ceny w App Store i Google Play ustalają Apple i Google, więc kwota w koszyku może różnić się od prostego przeliczenia [13]. Dla zespołów liczy się przede wszystkim rachunek za API, bo plan Plus nie obejmuje użycia API [11].\n\n## Który model wybrać do jakiego zadania?\n\nNie ma jednego zwycięzcy. Claude Opus 4.7 wybieramy do długich, wieloetapowych zadań, gdzie liczy się duży kontekst i samoweryfikacja [2][3]. GPT-5.5 ma sens tam, gdzie dominują tokeny wyjściowe i liczba iteracji, pod warunkiem że ktoś potwierdzi deklarację o mniejszym zużyciu tokenów [9].\n\nDla projektów z kodem legacy omawiane źródła nie podają osobnych wyników, więc nie ma podstaw do rekomendacji. Warto natomiast sprawdzić warianty wdrożenia on-premise, jeśli compliance blokuje chmurę. Opisujemy je w tekście [Codex on-premise](\u002Fposts\u002Fcodex-on-premise-jak-openai-i-dell-omijaja-polskie-blokady-compliance-w-kodowaniu).\n\n## Jak porównać oba modele we własnym projekcie?\n\nPolecamy eksperyment, nie ankietę. Ten sam zestaw repozytoriów, zgłoszeń, testów, promptów, narzędzi i limitów dla obu modeli, a do pomiaru: czas człowieka, czas agenta, liczba iteracji, tokeny, koszt API, odsetek poprawnych poprawek i regresje. Dopiero taki wynik odpowiada na pytanie o oszczędność czasu i pieniędzy.\n\nWarto rozdzielić dwie miary: koszt wygenerowania poprawki i koszt jej utrzymania. Model, który pisze szybciej, ale częściej wraca z regresją, wypada gorzej niż model wolniejszy z wyższą skutecznością pierwszego podejścia. Dlatego w arkuszu porównawczym trzymamy obok siebie tokeny i liczbę poprawek odrzuconych w przeglądzie kodu.\n\n## Najczęstsze pytania\n\n### Czy GPT-5.5 jest nadal dostępny w ChatGPT?\n\nNie. Release notes OpenAI podają, że GPT-5.5 wycofano z ChatGPT, ChatGPT Work i Codex 14 października 2026 r. [4]. Model pozostaje dostępny przez API, więc porównanie z Opus 4.7 ma dziś sens tylko w scenariuszach integracji przez API, a nie w codziennej pracy w czacie.\n\n### Czy Claude Opus 4.7 obsługuje kontekst 1 mln tokenów?\n\nTak, dokumentacja Anthropic podaje obsługę kontekstu do 1 mln tokenów [3]. To przydatne przy pracy na dużych repozytoriach, ale nie zastępuje dobrego podziału zadania. Długi kontekst zwiększa koszt wejścia, a niekoniecznie poprawia trafność odpowiedzi.\n\n### Który model jest tańszy w API?\n\nPrzy tych samych tokenach wejściowych wyjście Opus 4.7 kosztuje 25 USD za 1 mln, a GPT-5.5 30 USD za 1 mln [1][2]. Przewaga może zniknąć, bo nowy tokenizer Opus 4.7 generuje około 1–1,35 raza więcej tokenów niż Opus 4.6 [3]. Trzeba liczyć koszt zadania, nie cenę jednostkową.\n\n### Czy benchmarki wystarczą do wyboru modelu?\n\nNie. Terminal-Bench 2.0 i SWE-Bench Pro mierzą rozwiązywanie wyodrębnionych zadań, a nie czas od zgłoszenia błędu do wdrożenia, koszt przeglądu kodu i regresje [1]. Do decyzji potrzebny jest test na własnych repozytoriach, z tymi samymi promptami i narzędziami dla obu modeli.\n\n### Czy da się porównać koszt w złotych?\n\nTylko szacunkowo. Plus kosztuje 20 USD miesięcznie, Go 8 USD [11], a kurs NBP z 15 października 2026 to 3,8952 USD\u002FPLN [12]. Przeliczenie daje około 78 zł i 31 zł, ale finalną kwotę w złotych ustala checkout OpenAI, a nie kurs NBP.\n\n## Źródła\n\n1. [Introducing GPT-5.5 (OpenAI, 2026)](https:\u002F\u002Fopenai.com\u002Findex\u002Fintroducing-gpt-5-5)\n2. [Introducing Claude Opus 4.7 (Anthropic, 2026)](https:\u002F\u002Fwww.anthropic.com\u002Fnews\u002Fclaude-opus-4-7)\n3. [What's new in Claude Opus 4.7 (Claude API Docs, 2026)](https:\u002F\u002Fplatform.claude.com\u002Fdocs\u002Fen\u002Fabout-claude\u002Fmodels\u002Fwhats-new-claude-4-7)\n4. [Model Release Notes (OpenAI Help Center, 2026)](https:\u002F\u002Fhelp.openai.com\u002Fen\u002Farticles\u002F9624314-model-release-notes)\n5. [Claude Opus (Anthropic, 2026)](https:\u002F\u002Fwww.anthropic.com\u002Fclaude\u002Fopus)\n6. [GPT-5.5 vs Claude Opus 4.7: Benchmarki, Ceny, Werdykt (getaiperks, 2026)](https:\u002F\u002Fwww.getaiperks.com\u002Fpl\u002Fblogs\u002F41-gpt-5-5-vs-claude-opus-4-7)\n7. [GPT-5.5 – nowy model OpenAI z polskim akcentem w oficjalnym blogu (devstockacademy, 2026)](https:\u002F\u002Fdevstockacademy.pl\u002Fblog\u002Fbranza-it-i-nowe-technologie\u002Fgpt-5-5-openai-premiera-benchmarki-2026)\n8. [Claude Opus 4.7 vs GPT-5.5: który model czołowy jest najlepszy? (DataCamp, 2026)](https:\u002F\u002Fwww.datacamp.com\u002Fpl\u002Fblog\u002Fgpt-5-5-vs-claude-opus-4-7)\n9. [GPT-5.5 vs Claude Opus 4.7: Real-World Coding Performance Compared (MindStudio, 2026)](https:\u002F\u002Fwww.mindstudio.ai\u002Fblog\u002Fgpt-55-vs-claude-opus-47-coding-comparison)\n10. [AI w programowaniu: Porównanie GPT-5.4 i Claude Opus 4.7 (SII, 2026)](https:\u002F\u002Fsii.pl\u002Fblog\u002Fen\u002Fpractical-application-of-ai-models-in-programming-a-comparison-of-gpt-5-4-and-claude-opus-4-7)\n11. [Plans and Pricing (ChatGPT, 2026)](https:\u002F\u002Fchatgpt.com\u002Fpricing)\n12. [Kurs USD\u002FPLN z 15.10.2026 (NBP, 2026)](https:\u002F\u002Fapi.nbp.pl\u002Fapi\u002Fexchangerates\u002Frates\u002Fa\u002Fusd\u002F2026-10-15\u002F?format=json)\n13. [Multi-currency billing (OpenAI Help Center, 2026)](https:\u002F\u002Fhelp.openai.com\u002Fen\u002Farticles\u002F10421635-multicurrency-billing)",1402,"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…",[984,994,998],{"id":985,"report_slug":851,"source":986,"content":987,"significance":988,"category":989,"url":990,"title":991,"version":251,"changelog":992,"content_hash":48,"significance_updated_at":48,"status":993},334,"web-research","GPT 5.5 osiąga 89% dokładności w benchmarku HumanEval, oceniającym zdolność modeli do rozwiązywania zadań algorytmicznych, podczas gdy Opus 4.7 uzyskuje 82%.",0.5,"technology","https:\u002F\u002Farxiv.org\u002Fabs\u002F2107.03374","Evaluating Large Language Models Trained on Code",[],"active",{"id":995,"report_slug":851,"source":986,"content":996,"significance":988,"category":989,"url":48,"title":48,"version":251,"changelog":997,"content_hash":48,"significance_updated_at":48,"status":993},335,"Zespół NeuroFlow z Warszawy po przesiadce z GPT-4 na GPT 5.5 zmniejszył czas debugowania o 40% oraz obniżył koszty związane z błędami w produkcji o 12 000 zł miesięcznie.",[],{"id":999,"report_slug":851,"source":986,"content":1000,"significance":988,"category":989,"url":48,"title":48,"version":251,"changelog":1001,"content_hash":48,"significance_updated_at":48,"status":993},336,"Firma Codewise z Krakowa, stosując Opus 4.7, skróciła czas refaktoryzacji systemów COBOL o 35%.",[]]