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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},"8e912e49-0eb5-42f3-8289-a2169545506a","cohere-command-a-kontra-llama-3-1-kto-wygrywa-walke-o-polski-portfel","https:\u002F\u002Fai-odkrywca.pl\u002Fposts\u002Fcohere-command-a-kontra-llama-3-1-kto-wygrywa-walke-o-polski-portfel","2da47887-d304-4218-99d2-4e7120a16696","2026-08-19T01:04:57.298Z","2026-10-23T10:50:08.509Z",{"id":15,"name":17,"slug":16,"color_token":18},{"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},"Command A+ kontra Llama 3.1: który open-weight wybrać w 2026?","Command A+ to model MoE Cohere z 20 maja 2026: 218 mld parametrów, 25 mld aktywnych i dwie karty H100 przy W4A4. Llama 3.1 to gęste modele 8B–405B z lipca 2024. Porównanie.","## Czym Command A+ różni się od Llama 3.1?\n\nCommand A+ to pierwszy model Cohere oparty na architekturze Mixture of Experts, udostępniony 20 maja 2026 roku [1][2]. Llama 3.1 ukazała się 23 lipca 2024 roku w trzech rozmiarach: 8B, 70B i 405B [3]. Różnica dotyczy sposobu liczenia: rzadki MoE aktywuje przy każdym tokenie tylko część sieci, model gęsty uruchamia całość. Wybór między nimi zależy od sprzętu, licencji i zakresu funkcji, a nie od jednego rankingu.\n\nCohere pozycjonuje Command A+ jako model do pracy agentowej: łączy rozumowanie, obsługę obrazów, wywoływanie narzędzi i tłumaczenie [2]. Llama 3.1 pozostaje modelem językowym, a wejście obrazów Meta wprowadziła dopiero w rodzinie Llama 4 [4]. Asystent [Meta AI](\u002Fmeta-ai) jest osobnym produktem konsumenckim Mety, uruchomionym w Europie w marcu 2025 roku [5]. Wagi Llama i aplikacja Meta AI to dwie różne ścieżki dostępu do technologii tej samej firmy.\n\n## Ile parametrów mają Command A+ i Llama 3.1?\n\nCommand A+ ma 218 mld parametrów łącznie, z czego 25 mld jest aktywnych przy każdym tokenie [6]. Llama 3.1 405B jest modelem gęstym, więc przy każdym tokenie liczy się cała sieć [8].\n\nKarta modelu Command A+ podaje 128 ekspertów, z których osiem pracuje dla jednego tokenu [7]. Ta konstrukcja tłumaczy różnicę w kosztach inferencji: model rzadki angażuje mniejszą część wag, a model gęsty zawsze całość [7][8]. Rodzina Llama 3.1 obejmuje też wersje 8B i 70B, lżejsze sprzętowo i tańsze w hostingu [3]. Deklaracje producentów opisują więc dwa różne podejścia do tego samego problemu: jak największa jakość przy danym budżecie obliczeniowym.\n\n## Na jakim sprzęcie uruchomisz Command A+?\n\nDeklaracja „dwa GPU” dotyczy jednej precyzji. Przy kwantyzacji W4A4 minimalna konfiguracja to 2× NVIDIA H100, a ten sam wariant działa też na pojedynczej karcie B200 [9][6].\n\nCohere nie podaje jednej liczby dla BF16 ani FP8 — w tych trybach potrzeba więcej pamięci na te same 218 mld parametrów [9]. Wagi opublikowane na Hugging Face są oznaczone jako wariant W4A4 [7]. Dla Llama 3.1 405B karta modelu podaje własne wymagania sprzętowe [8], więc porównanie „dwie karty kontra kilka” ma sens tylko przy tej samej precyzji i tym samym frameworku inferencyjnym. Kwantyzacja zmienia nie tylko pamięć, ale też charakterystykę jakości odpowiedzi, dlatego tryb uruchomienia trzeba podać razem z wynikami.\n\n## Co Command A+ potrafi poza generowaniem tekstu?\n\nCommand A+ obsługuje rozumowanie, obrazy, wywoływanie narzędzi, przepływy agentowe, przeszukiwanie dokumentów i tłumaczenie [2]. Cohere deklaruje 48 języków, w tym polski i wszystkie oficjalne języki UE [9]. Kontekst wejściowy wynosi 128 tys. tokenów, a maksymalna długość odpowiedzi to 64 tys. tokenów [9].\n\nLlama 3.1 powstała jako model językowy i nie przyjmuje obrazów na wejściu; multimodalność pojawiła się w rodzinie Llama 4 [4][8]. Llama 4 Scout ma 17 mld aktywnych parametrów, 109 mld łącznie i do 10 mln tokenów kontekstu, a po kwantyzacji mieści się na jednej karcie H100 [4]. To pokazuje skalę zmiany: model z 2024 roku i model z 2026 roku projektowano pod inne zadania i inne budżety sprzętowe.\n\n## Który model jest tańszy: Command A+ czy Llama 3.1?\n\nCeny trzeba rozdzielić na dostęp przez API i self-hosting. Materiały o Command A+ nie zawierają uniwersalnej obietnicy „połowy ceny” wobec Llama 3.1 [1][2].\n\nLiczba „do 50% taniej” pochodziła z komunikatu o wcześniejszym Command A i dotyczyła wdrożeń prywatnych w porównaniu z dostępem przez API [10]. Dla Command A podawano 2,50 USD za milion tokenów wejściowych i 10 USD za milion tokenów wyjściowych [11]. Command A+ ma inne wagi i inne wymagania sprzętowe, więc tych stawek nie należy przenosić bezpośrednio na nowy model [1]. Koszt Llama 3.1 zależy od dostawcy API albo od ceny własnych kart GPU [3]. W self-hostingu decyduje wykorzystanie sprzętu, a nie cennik tokenów.\n\n## Jaka licencja obowiązuje Command A+ i Llamę 3.1?\n\nWagi Command A+ są dostępne na licencji Apache 2.0 [7]. Wcześniejszy Command A miał otwarte wagi na licencji CC-BY-NC, więc zmiana jest istotna dla firm planujących użycie komercyjne [12].\n\nLlama 3.1 jest udostępniona na licencji społeczności Meta opisanej na karcie modelu [8]. Przed wdrożeniem komercyjnym trzeba sprawdzić jej warunki: dostęp do wag, licencja i dostęp przez API to trzy osobne sprawy z różnymi ograniczeniami [8]. W przypadku Command A+ licencja Apache 2.0 upraszcza audyt wewnętrzny, ale nie zwalnia z obowiązków wynikających z RODO przy przetwarzaniu danych osobowych [7].\n\n## Co wybrać, jeśli potrzebujesz gotowego asystenta, a nie modelu?\n\nMeta AI jest bezpłatna, a płatne plany Meta One Core i Premium kosztują 7,99 i 19,99 USD miesięcznie [13]. Asystent działa w WhatsAppie, Instagramie, Messengerze i w aplikacji Meta AI [5].\n\nPlany Meta One Meta ogłosiła we wrześniu 2026 roku, łącząc je z dodatkowymi funkcjami dla Instagrama, WhatsAppa i Facebooka [14]. Modele Llama i Command A+ wymagają własnej infrastruktury albo klucza API [1][8]. Meta rozwija też nowszą rodzinę Muse: 13 października 2026 roku pokazała Muse Wonder i Muse Wonder Full, dostępne przez Meta Model API oraz Muse Code [15]. To osobna ścieżka niż wagi Llama, które nadal można pobrać i uruchomić lokalnie [4].\n\n## Czy Meta AI mówi po polsku?\n\nMeta AI weszła do Europy 19 marca 2025 roku w 41 krajach, w tym w Polsce [5]. Początkowa wersja obsługiwała sześć języków: angielski, francuski, niemiecki, włoski, portugalski i hiszpański. Polskiego nie było na tej oficjalnej liście [16].\n\nDla modeli sprawa wygląda inaczej: Cohere deklaruje obsługę polskiego w Command A+ jako jednego z 48 języków [9]. Llama 3.1 jest modelem bazowym, a jakość w konkretnym języku zależy od dostrojenia i aplikacji, w której model pracuje [8]. Deklaracja producenta nie jest tym samym co niezależny test jakości, dlatego warto sprawdzić oba modele na własnych danych i własnych promptach.\n\n## Porównanie Command A+ i Llama 3.1\n\n| Kryterium | Command A+ | Llama 3.1 (405B) |\n|---|---|---|\n| Architektura | rzadki MoE, 8 z 128 ekspertów aktywnych na token [7] | gęsty transformer [8] |\n| Parametry | 218 mld łącznie, 25 mld aktywnych [6] | 405 mld, wszystkie aktywne [8] |\n| Kontekst | 128 tys. tokenów wejścia, 64 tys. generacji [9] | 128 tys. tokenów [3] |\n| Sprzęt | 2× H100 lub 1× B200 przy W4A4 [9] | zależny od precyzji, według karty modelu [8] |\n| Licencja wag | Apache 2.0 [7] | licencja społeczności Meta [8] |\n| Tryb dostępu | API, Hugging Face, Model Vault [2] | wagi do pobrania, API u dostawców [3][8] |\n\nZestawienie pokazuje, że Command A+ obniża wymagania sprzętowe przy niskiej precyzji, a Llama 3.1 pozostaje prostszym wyborem, gdy zależy nam na sprawdzonym, gęstym modelu i gotowych integracjach [6][8]. Żaden z tych wierszy nie rozstrzyga o jakości odpowiedzi — do tego potrzebny jest test na własnym zbiorze zadań.\n\n## Od czego zacząć wybór w polskim zespole?\n\nPolecamy zacząć od dwóch pytań: czy dane mogą opuścić firmę i czy zespół ma karty GPU. Odpowiedź na pierwsze pytanie wskazuje na wagi, na drugie — na API.\n\nJeśli dane muszą zostać w infrastrukturze, wybór zawęża się do modeli z otwartymi wagami, a wtedy decyduje licencja i sprzęt [7][8]. Jeśli zespół nie ma GPU, tańszy bywa dostęp przez API niż własna szafa [1][3]. Przed decyzją warto sprawdzić, jak wygląda uruchamianie modeli lokalnie — opisujemy to w artykule o [Ollama, Qwen3-Coder i OpenCode](\u002Fposts\u002Follama-qwen3-coder-opencode-lokalny-asystent-kodowania-bez-wysylania-kodu-do-chmury). Dla mniejszych maszyn pomocne bywa porównanie kwantyzacji w [llama.cpp i Gemmie 4](\u002Fposts\u002Fczy-gemma-4-mtp-w-llama-cpp-to-szansa-dla-polskich-developerow). Tło zmian w zespole Meta AI opisuje tekst o [zwolnieniach w Meta AI](\u002Fposts\u002Fzwolnienia-w-meta-ai-co-zuckerberg-naprawde-powiedzial-i-dlaczego-polskie-firmy-juz-rekrutuja).\n\n## Najczęstsze pytania\n\n### Czy Command A+ zastąpił Llamę 3.1?\n\nNie. To modele różnych firm i różnych generacji: Command A+ Cohere z 20 maja 2026 roku i Llama 3.1 Meta z 23 lipca 2024 roku [1][3]. Command A+ jest modelem rzadkim z 218 mld parametrów, a Llama 3.1 pozostaje rodziną gęstych modeli w rozmiarach 8B, 70B i 405B [6][3]. Wybór zależy od sprzętu, licencji i języka wdrożenia, a nie od następstwa wersji.\n\n### Ile kart GPU potrzebuje Command A+?\n\nPrzy kwantyzacji W4A4 wystarczą dwie karty NVIDIA H100 albo jedna karta B200 [9]. To deklaracja dla tej konkretnej precyzji, a nie dla każdego trybu uruchomienia — BF16 i FP8 wymagają więcej pamięci [9]. Wagi na Hugging Face są opublikowane właśnie w wariancie W4A4 [7]. Własne wdrożenie wymaga też serwera inferencyjnego i obsługi technicznej.\n\n### Czy Command A+ jest modelem open source?\n\nWagi Command A+ są dostępne na licencji Apache 2.0, więc można je pobrać i uruchomić na własnym sprzęcie [7]. To zmiana wobec wcześniejszego Command A, którego otwarte wagi objęto licencją CC-BY-NC [12]. Dostęp do wag nie jest tym samym co korzystanie z API Cohere — to dwie osobne ścieżki, z różnymi warunkami i kosztami [1][7].\n\n### Czy Llama 3.1 obsługuje obrazy?\n\nNie. Llama 3.1 to model językowy, a wejście obrazów wprowadziła rodzina Llama 4, ogłoszona 5 kwietnia 2025 roku [4][8]. Llama 4 Scout ma 17 mld aktywnych parametrów, 109 mld łącznie i do 10 mln tokenów kontekstu [4]. Jeśli potrzebna jest analiza obrazów, trzeba wybrać nowszy model albo osobną usługę wizyjną.\n\n## Źródła\n\n1. [Introducing Command A+ (Cohere, 2026)](https:\u002F\u002Fcohere.com\u002Fblog\u002Fcommand-a-plus)\n2. [Announcing Cohere’s Command A+ (Cohere Docs, 2026)](https:\u002F\u002Fdocs.cohere.com\u002Fchangelog\u002Fcommand-a-plus-05-2026)\n3. [Llama 3.1: Benchmarks, Pricing & Release Date (ai-model-timeline.org, 2024)](https:\u002F\u002Fai-model-timeline.org\u002Fmodels\u002Fmeta-4)\n4. [The Llama 4 herd (Meta, 2025)](https:\u002F\u002Fai.meta.com\u002Fblog\u002Fllama-4-multimodal-intelligence)\n5. [Europe, Meet Your Newest Assistant: Meta AI (Meta, 2025)](https:\u002F\u002Fabout.fb.com\u002Fnews\u002F2025\u002F03\u002Feurope-meet-your-newest-assistant-meta-ai)\n6. [Cohere Releases Command A+: A 218B Sparse MoE Model (MarkTechPost, 2026)](https:\u002F\u002Fwww.marktechpost.com\u002F2026\u002F05\u002F21\u002Fcohere-releases-command-a-a-218b-sparse-moe-model-for-agentic-workflows-that-runs-on-as-few-as-two-h100-gpus)\n7. [CohereLabs\u002Fcommand-a-plus-05-2026-w4a4 (Hugging Face, 2026)](https:\u002F\u002Fhuggingface.co\u002FCohereLabs\u002Fcommand-a-plus-05-2026-w4a4)\n8. [meta-llama\u002FLlama-3.1-405B (Hugging Face, 2024)](https:\u002F\u002Fhuggingface.co\u002Fmeta-llama\u002FLlama-3.1-405B)\n9. [Cohere’s Command A+ Model (Cohere Docs, 2026)](https:\u002F\u002Fdocs.cohere.com\u002Fdocs\u002Fcommand-a-plus)\n10. [Cohere Introduces Command A Model for Max Performance, Minimal Compute (AIwire, 2025)](https:\u002F\u002Fwww.hpcwire.com\u002Faiwire\u002F2025\u002F03\u002F13\u002Fcohere-introduces-command-a-model-for-max-performance-minimal-compute)\n11. [Announcing Command A (Cohere Docs, 2025)](https:\u002F\u002Fdocs.cohere.com\u002Fchangelog\u002Fcommand-a)\n12. [CohereLabs\u002Fc4ai-command-a-03-2025 (Hugging Face, 2025)](https:\u002F\u002Fhuggingface.co\u002FCohereLabs\u002Fc4ai-command-a-03-2025)\n13. [Meta One Subscription Plans (Meta, 2026)](https:\u002F\u002Fwww.meta.com\u002Fmeta-one-plans)\n14. 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Liczby, które powinny niepokoić polskie firmy","W czerwcu 2024 roku pisarze z Writers Guild of America wynegocjowali zakaz używania generatywnej AI do pisania scenariuszy w Hollywood. To nie był pierwszy p…",{"id":881,"slug":882,"reading_time_min":179,"pillar_id":883,"draft_id":884},"ffcfb1b3-5d39-4a99-943e-65767ee2550e","openai-bez-microsoftu-kto-zyska-a-kto-straci-na-nowych-zasadach-gry",{"color_token":18},{"title":885,"meta_description":886},"OpenAI bez Microsoftu: kto zyska, a kto straci na nowych zasadach gry","Kwiecień 2026 roku. Dyrektor IT polskiej spółki z branży e-commerce otwiera maila od Microsoftu: \"Od teraz modele OpenAI będą dostępne także przez AWS i Goog…",{"id":888,"slug":889,"reading_time_min":890,"pillar_id":891,"draft_id":892},"5ff5826f-d4cf-4caf-8a69-994b6fa77ae9","youtube-bez-filmow-czy-google-naprawde-chce-zebys-przestal-ogladac",11,{"color_token":18},{"title":893,"meta_description":894},"YouTube bez filmów: czy Google naprawdę chce, żebyś przestał oglądać?","Wyobraź sobie, że wchodzisz na YouTube szukać poradnika o wymianie filtrów w pralce. Zamiast 15-minutowego filmu dostajesz trzy akapity tekstu: kroki, narzęd…",{"id":896,"slug":897,"reading_time_min":206,"pillar_id":898,"draft_id":899},"4238f32a-fb55-4bb8-9239-5608031c1079","40-miliardow-dolarow-od-google-kto-naprawde-zyska-na-sojuszu-z-anthropic",{"color_token":18},{"title":900,"meta_description":901},"40 miliardów dolarów od Google: kto naprawdę zyska na sojuszu z Anthropic?","W kwietniu 2026 roku Google zrobiło ruch, który wstrząsnął rynkiem AI. 40 miliardów dolarów za udział w Anthropic – firmie, która jeszcze dwa lata temu była …",{"id":903,"slug":904,"reading_time_min":905,"pillar_id":906,"draft_id":907},"d8b00ab9-9b58-41c1-b1e7-051a53e3d31c","github-copilot-dlaczego-placisz-wiecej-choc-miales-placic-mniej",8,{"color_token":18},{"title":908,"meta_description":909},"GitHub Copilot: dlaczego płacisz więcej, choć miałeś płacić mniej","W zeszłym tygodniu zespół developerski wrocławskiej spółki z o.o. dostał alert z GitHuba: \"Od 2026 roku rozliczamy Copilota za faktyczne użycie\". Po wstępnyc…",{"id":911,"slug":912,"reading_time_min":905,"pillar_id":913,"draft_id":914},"5ce29e8a-e105-4e5f-88fc-adb136b9f528","co-naprawde-zmienilo-sie-w-umowie-microsoft-openai-i-dlaczego-agi-przestalo-byc-priorytetem",{"color_token":18},{"title":915,"meta_description":916},"Co naprawdę zmieniło się w umowie Microsoft-OpenAI — i dlaczego AGI przestało być priorytetem","W poniedziałek rano Microsoft usunął z umowy z OpenAI klauzulę, która przez lata definiowała ich współpracę: gwarancję pierwszeństwa w dostępie do sztucznej …",{"id":918,"slug":919,"reading_time_min":231,"pillar_id":920,"draft_id":921},"4b968a9d-1ac3-4cd2-9254-63e11faa8d15","dlaczego-elon-musk-przegral-z-openai-jeden-blad-ktory-kosztowal-go-miliardy",{"color_token":18},{"title":922,"meta_description":923},"Dlaczego Elon Musk przegrał z OpenAI? Jeden błąd, który kosztował go miliardy","Elon Musk złożył pozew przeciwko OpenAI w 2025 roku, sześć lat po tym, jak firma porzuciła model non-profit. Sąd uznał, że to opóźnienie zabiło jego szanse n…",{"id":925,"slug":113,"reading_time_min":206,"pillar_id":926,"draft_id":927},"a179690b-3757-4b5b-a995-9ff7c9a5505a",{"color_token":18},{"title":115,"meta_description":928},"W lutym 2024 roku japońskie media obiegła wiadomość: ChatGPT uzyskał wyniki lepsze niż 90% kandydatów na egzaminach wstępnych na Uniwersytet Tokijski i Kioto…",{"id":930,"slug":98,"reading_time_min":206,"pillar_id":931,"draft_id":932},"7977e6a4-813b-418d-b5e6-61b31f7dc749",{"color_token":18},{"title":100,"meta_description":933},"Firma z branży HR wdrożyła ChatGPT do wstępnej selekcji kandydatów. Wszystko szło dobrze, dopóki model nie zasugerował jednej z aplikantek, że \"może warto ro…",{"id":935,"slug":30,"reading_time_min":206,"pillar_id":936,"draft_id":937},"1e7f5934-ce29-4261-a03e-a4e0afcb0529",{"color_token":18},{"title":32,"meta_description":938},"W lutym 2024 roku Google udostępniło Gemmę — lekki model AI, który miał być odpowiedzią na rosnącą dominację Anthropic. Problem? Gemma nie jest w pełni open …",{"id":940,"slug":83,"reading_time_min":890,"pillar_id":941,"draft_id":942},"63051d1f-d6f6-49fe-a6fa-5022455ebb92",{"color_token":18},{"title":85,"meta_description":943},"Wczorajsza decyzja OpenAI o zakończeniu wyłączności z Microsoftem nie była niespodzianką — ale jej skutki będą odczuwalne przez lata. Dla polskiej firmy, któ…",{"id":945,"slug":946,"reading_time_min":179,"pillar_id":947,"draft_id":948},"d4265554-dd8f-4502-ba4b-cc0b01b09ec8","spacex-kontra-aws-kto-zbuduje-chmure-dla-polskiej-ai",{"color_token":18},{"title":949,"meta_description":950},"SpaceX kontra AWS: kto zbuduje chmurę dla polskiej AI?","Anthropic płaci SpaceX 1,25 miliarda dolarów miesięcznie za dostęp do mocy obliczeniowej. To nie błąd drukarski — umowa obowiązuje do 2029 roku i może zmieni…",{"id":952,"slug":64,"reading_time_min":890,"pillar_id":953,"draft_id":954},"2e8d6aab-d5e7-49b3-8bd3-c7d1712da7f8",{"color_token":18},{"title":66,"meta_description":955},"W lutym 2025 roku model Hermes 2 Pro Mistral 7B osiągnął 89,3% w benchmarku MMLU, bijąc GPT-3.5 i zbliżając się do wyników komercyjnych gigantów. To nie przy…",{"id":957,"slug":958,"reading_time_min":179,"pillar_id":959,"draft_id":960},"9cef0925-212d-49d4-aa35-46c74c09b9be","nvidia-bije-rekordy-ale-inwestorzy-zaczynaja-liczyc-straty-co-to-oznacza-dla-polskiego-ai",{"color_token":18},{"title":961,"meta_description":962},"Nvidia bije rekordy, ale inwestorzy zaczynają liczyć straty. Co to oznacza dla polskiego AI?","26 miliardów dolarów przychodu w jednym kwartale. 43 miliardy zainwestowane w startupy. Akcje, które spadają o 7% po ogłoszeniu wyników, choć każdy wskaźnik …",{"id":964,"slug":93,"reading_time_min":890,"pillar_id":965,"draft_id":966},"1ebed8a4-440c-4514-9496-b96f80a6c4f0",{"color_token":18},{"title":95,"meta_description":967},"Andrej Karpathy, człowiek, który zbudował autopilota w Tesli i nauczył milion osób deep learningu na YouTubie, właśnie dołączył do Anthropic. To nie jest zwy…",{"id":969,"slug":970,"reading_time_min":206,"pillar_id":971,"draft_id":972},"312e7740-405e-4ee4-9c44-dc7a5936ecb0","deepfake-tuska-watermarki-openai-i-7-kary-co-polskie-firmy-musza-wiedziec-o-pochodzeniu-tresci-ai",{"color_token":18},{"title":973,"meta_description":974},"Deepfake Tuska, watermarki OpenAI i 7% kary: co polskie firmy muszą wiedzieć o pochodzeniu treści AI","W marcu 2024 roku fałszywe wideo z premierem Donaldem Tuskiem obiegło polski internet w kilka godzin. Choć szybko zdementowano je jako deepfake, 68% Polaków …",[]]