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#deep-seek — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #deep-seek, aggregated by home.social.

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  1. Chinese #AI #startup #DeepSeek is developing its own #AIchip for #inference, aiming to reduce reliance on Nvidia and Huawei chips. This move aligns with #China’s push for domestic chip alternatives due to US export controls. While DeepSeek’s chip development is still in early stages, it could impact the market, particularly for Huawei, which currently holds a significant share of the domestic AI chip market. reuters.com/world/china/chinas #tech #media #news

  2. Chinese #AI #startup #DeepSeek is developing its own #AIchip for #inference, aiming to reduce reliance on Nvidia and Huawei chips. This move aligns with #China’s push for domestic chip alternatives due to US export controls. While DeepSeek’s chip development is still in early stages, it could impact the market, particularly for Huawei, which currently holds a significant share of the domestic AI chip market. reuters.com/world/china/chinas #tech #media #news

  3. Chinese #AI #startup #DeepSeek is developing its own #AIchip for #inference, aiming to reduce reliance on Nvidia and Huawei chips. This move aligns with #China’s push for domestic chip alternatives due to US export controls. While DeepSeek’s chip development is still in early stages, it could impact the market, particularly for Huawei, which currently holds a significant share of the domestic AI chip market. reuters.com/world/china/chinas #tech #media #news

  4. Chinese #AI #startup #DeepSeek is developing its own #AIchip for #inference, aiming to reduce reliance on Nvidia and Huawei chips. This move aligns with #China’s push for domestic chip alternatives due to US export controls. While DeepSeek’s chip development is still in early stages, it could impact the market, particularly for Huawei, which currently holds a significant share of the domestic AI chip market. reuters.com/world/china/chinas #tech #media #news

  5. Chinese #AI #startup #DeepSeek is developing its own #AIchip for #inference, aiming to reduce reliance on Nvidia and Huawei chips. This move aligns with #China’s push for domestic chip alternatives due to US export controls. While DeepSeek’s chip development is still in early stages, it could impact the market, particularly for Huawei, which currently holds a significant share of the domestic AI chip market. reuters.com/world/china/chinas #tech #media #news

  6. #ChineseAImodels are gaining traction among US companies due to their competitive #performance and significantly #lowercosts compared to leading American rivals like #OpenAI and #Anthropic. The rise of #opensource and #openweight #AI from Chinese companies, such as #DeepSeek and #Zai, is particularly appealing as US #AIcosts soar. While still slightly behind top US models, Chinese options are closing the gap and offer a #costeffective alternative. cnbc.com/2026/07/07/chinese-ai #tech #media #news

  7. #ChineseAImodels are gaining traction among US companies due to their competitive #performance and significantly #lowercosts compared to leading American rivals like #OpenAI and #Anthropic. The rise of #opensource and #openweight #AI from Chinese companies, such as #DeepSeek and #Zai, is particularly appealing as US #AIcosts soar. While still slightly behind top US models, Chinese options are closing the gap and offer a #costeffective alternative. cnbc.com/2026/07/07/chinese-ai #tech #media #news

  8. #ChineseAImodels are gaining traction among US companies due to their competitive #performance and significantly #lowercosts compared to leading American rivals like #OpenAI and #Anthropic. The rise of #opensource and #openweight #AI from Chinese companies, such as #DeepSeek and #Zai, is particularly appealing as US #AIcosts soar. While still slightly behind top US models, Chinese options are closing the gap and offer a #costeffective alternative. cnbc.com/2026/07/07/chinese-ai #tech #media #news

  9. #ChineseAImodels are gaining traction among US companies due to their competitive #performance and significantly #lowercosts compared to leading American rivals like #OpenAI and #Anthropic. The rise of #opensource and #openweight #AI from Chinese companies, such as #DeepSeek and #Zai, is particularly appealing as US #AIcosts soar. While still slightly behind top US models, Chinese options are closing the gap and offer a #costeffective alternative. cnbc.com/2026/07/07/chinese-ai #tech #media #news

  10. #ChineseAImodels are gaining traction among US companies due to their competitive #performance and significantly #lowercosts compared to leading American rivals like #OpenAI and #Anthropic. The rise of #opensource and #openweight #AI from Chinese companies, such as #DeepSeek and #Zai, is particularly appealing as US #AIcosts soar. While still slightly behind top US models, Chinese options are closing the gap and offer a #costeffective alternative. cnbc.com/2026/07/07/chinese-ai #tech #media #news

  11. Chinese startup DeepSeek is developing its own artificial intelligence chip, a push that could reduce its reliance on Nvidia and Huawei chips, which it has depended on to train and run its globally popular models. japantimes.co.jp/business/2026 #business #tech #china #deepseek #ai #chipmakers #semiconductors

  12. Chinese startup DeepSeek is developing its own artificial intelligence chip, a push that could reduce its reliance on Nvidia and Huawei chips, which it has depended on to train and run its globally popular models. japantimes.co.jp/business/2026 #business #tech #china #deepseek #ai #chipmakers #semiconductors

  13. Chinese startup DeepSeek is developing its own artificial intelligence chip, a push that could reduce its reliance on Nvidia and Huawei chips, which it has depended on to train and run its globally popular models. japantimes.co.jp/business/2026 #business #tech #china #deepseek #ai #chipmakers #semiconductors

  14. Chinese startup DeepSeek is developing its own artificial intelligence chip, a push that could reduce its reliance on Nvidia and Huawei chips, which it has depended on to train and run its globally popular models. japantimes.co.jp/business/2026 #business #tech #china #deepseek #ai #chipmakers #semiconductors

  15. 2026全球「主權AI」三大核心策略:美中爭奪定義權,台灣究竟選了哪條路?
    TNL國際編譯 2026-07-08 07:57:00 CST
    行政院6月23日拍板主權AI以教育、醫療、金融、司法為示範場景。但真正的問題在台灣走的是法國的全端自主,還是新加坡的互賴管理?從國際論述看,2026年主權AI已進入「選層級」的階段。
    https://www.thenewslens.com/article/269058
    #資料長 #阿聯 #開源模型 #台灣 #Pax Silica #sovereign AI #卓榮泰 #AI基礎建設 #TAIDE #DeepSeek #Mistral #全端自主 #AI晶片 #主權AI #中國 #G42 #Qwen #出口管制 #結婚策略 #彭双浪 #SEA-LION #美國 #房東策略 #科技 #新加坡 #法國 #星際之門 #騎乘策略 #Stargate
  16. Пускать нельзя блокировать: приносят ли ИИ-чат боты клиентов на Ваш сайт? Как ИИ ассистенты посещают сайт…

    Современный пользователь всё чаще сидит внутри интерфейса чат-бота . ИИ сам анализирует тонны информации, посещая сайты по нужной теме, выжимает из них самую суть и выдает емкий ответ. Удобно? Да! Полезно для владельцев сайтов? Спорно.. Блокировать ИИ ботов или , наоборот, разрешать вход и получать с этого трафик и выгоду? Делюсь своим исследованием и полученным опытом, надеюсь материал будет кому-то полезным и Вы примените этот опыт на своих ресурсах.

    habr.com/ru/articles/1056760/

    #искусственный_интеллект #ии_боты #perplexity #chatgpt #grok #deepseek #фильтрация_сайта #защита_сайта_от_ботов #разрешить_ИИ_ботов_на_сайте #AI_боты_на_сайте

  17. Пускать нельзя блокировать: приносят ли ИИ-чат боты клиентов на Ваш сайт? Как ИИ ассистенты посещают сайт…

    Современный пользователь всё чаще сидит внутри интерфейса чат-бота . ИИ сам анализирует тонны информации, посещая сайты по нужной теме, выжимает из них самую суть и выдает емкий ответ. Удобно? Да! Полезно для владельцев сайтов? Спорно.. Блокировать ИИ ботов или , наоборот, разрешать вход и получать с этого трафик и выгоду? Делюсь своим исследованием и полученным опытом, надеюсь материал будет кому-то полезным и Вы примените этот опыт на своих ресурсах.

    habr.com/ru/articles/1056760/

    #искусственный_интеллект #ии_боты #perplexity #chatgpt #grok #deepseek #фильтрация_сайта #защита_сайта_от_ботов #разрешить_ИИ_ботов_на_сайте #AI_боты_на_сайте

  18. Пускать нельзя блокировать: приносят ли ИИ-чат боты клиентов на Ваш сайт? Как ИИ ассистенты посещают сайт…

    Современный пользователь всё чаще сидит внутри интерфейса чат-бота . ИИ сам анализирует тонны информации, посещая сайты по нужной теме, выжимает из них самую суть и выдает емкий ответ. Удобно? Да! Полезно для владельцев сайтов? Спорно.. Блокировать ИИ ботов или , наоборот, разрешать вход и получать с этого трафик и выгоду? Делюсь своим исследованием и полученным опытом, надеюсь материал будет кому-то полезным и Вы примените этот опыт на своих ресурсах.

    habr.com/ru/articles/1056760/

    #искусственный_интеллект #ии_боты #perplexity #chatgpt #grok #deepseek #фильтрация_сайта #защита_сайта_от_ботов #разрешить_ИИ_ботов_на_сайте #AI_боты_на_сайте

  19. L'innovation naît dans la contrainte...

    Désavouer, du jour au lendemain, le #DataPrivacyFramework (#DPF), ce simulacre d'accord qui rendrait les services #US soumis, entre autres, au #CloudAct, compatibles avec le #RGPD / #GDPR... Et imposer ce qui serait logique : l'interdiction formelle d'utiliser des services #US en #Europe...

    Ma main à couper que moins de six mois après, les investissements des entreprises européennes auront engendré un nouveau modèle #digital européen tant pour les services #cloud que pour l'#IA

    Illusoir ? C'est pourtant exactement ce que la Chine a fait et qui a engendré les géants de la #tech chinois et des choses comme #DeepSeek

  20. When it is "good enough" and CHEAPER, yes adoption will accelerate!

    U.S. companies are turning to Chinese AI models at a growing rate as the cost of American AI is increasing.

    “We’re seeing companies increasingly motivated to turn to cheaper AI stacks they can control and adapt themselves, and given the state of open-source and open-weight models that often means leveraging Chinese options,” cnbc.com/2026/07/07/chinese-ai #AI #OpenAI #Anthropic #LLMs #AgenticAI #OpenSource #China #USA #DeepSeek #CharGPT #Claude

  21. When it is "good enough" and CHEAPER, yes adoption will accelerate!

    U.S. companies are turning to Chinese AI models at a growing rate as the cost of American AI is increasing.

    “We’re seeing companies increasingly motivated to turn to cheaper AI stacks they can control and adapt themselves, and given the state of open-source and open-weight models that often means leveraging Chinese options,” cnbc.com/2026/07/07/chinese-ai #AI #OpenAI #Anthropic #LLMs #AgenticAI #OpenSource #China #USA #DeepSeek #CharGPT #Claude

  22. When it is "good enough" and CHEAPER, yes adoption will accelerate!

    U.S. companies are turning to Chinese AI models at a growing rate as the cost of American AI is increasing.

    “We’re seeing companies increasingly motivated to turn to cheaper AI stacks they can control and adapt themselves, and given the state of open-source and open-weight models that often means leveraging Chinese options,” cnbc.com/2026/07/07/chinese-ai #AI #OpenAI #Anthropic #LLMs #AgenticAI #OpenSource #China #USA #DeepSeek #CharGPT #Claude

  23. When it is "good enough" and CHEAPER, yes adoption will accelerate!

    U.S. companies are turning to Chinese AI models at a growing rate as the cost of American AI is increasing.

    “We’re seeing companies increasingly motivated to turn to cheaper AI stacks they can control and adapt themselves, and given the state of open-source and open-weight models that often means leveraging Chinese options,” cnbc.com/2026/07/07/chinese-ai #AI #OpenAI #Anthropic #LLMs #AgenticAI #OpenSource #China #USA #DeepSeek #CharGPT #Claude

  24. When it is "good enough" and CHEAPER, yes adoption will accelerate!

    U.S. companies are turning to Chinese AI models at a growing rate as the cost of American AI is increasing.

    “We’re seeing companies increasingly motivated to turn to cheaper AI stacks they can control and adapt themselves, and given the state of open-source and open-weight models that often means leveraging Chinese options,” cnbc.com/2026/07/07/chinese-ai

  25. RT @h100envy: Der ehemalige Berkeley-PhD, der SGLang bei xAI leitet, erklärte, wie sie Grok auf 100.000 GPUs in 23 Minuten bedienen – besser als $2000 Inference-at-Scale-Kurse. Aufteilung von Prefill und Decode –> Sharding von Experten über GPUs –> Token-Routing pro Experte –> Überlappung von Kommunikation und Berechnung –> Bedienung zu DeepSeek-API-zerstörenden Preisen. Diese Schleife ist der Grund, warum xAI Grok auf SGLang betreibt und Dritte DeepSeek's eigene API um den Faktor 5 bei den Kosten schlagen. SGLang + Prefill-Decode-Disaggregation + Experten-Parallelität + AMD MI300 – das ist der Stack. Schau dir das Video an und speichere es, dann lies den Artikel unten. Video h100envy (@h100envy) Artikel Loop Engineering: Eine Schleife, die RAG automatisch auf ein Ziel-Recall einstellt. Ein konkreter Fall von Loop-Engineering. Nicht „RAG von Hand einstellen“, sondern eine Schleife bauen, die Konfigurationen selbst sucht, Recall auf einem Eval misst und stoppt, wenn das Ziel erreicht ist. Mit vollständigem Code. RAG-Einstellung – nitter.net/h100envy/status/207

    mehr auf Arint.info

    #DeepSeek #Grok #LoopEngineering #RAG #SGLang #xAI #arint_info

    https://x.com/h100envy/status/2074204275392307403#m

  26. RT @h100envy: Der ehemalige Berkeley-PhD, der SGLang bei xAI leitet, erklärte, wie sie Grok auf 100.000 GPUs in 23 Minuten bedienen – besser als $2000 Inference-at-Scale-Kurse. Aufteilung von Prefill und Decode –> Sharding von Experten über GPUs –> Token-Routing pro Experte –> Überlappung von Kommunikation und Berechnung –> Bedienung zu DeepSeek-API-zerstörenden Preisen. Diese Schleife ist der Grund, warum xAI Grok auf SGLang betreibt und Dritte DeepSeek's eigene API um den Faktor 5 bei den Kosten schlagen. SGLang + Prefill-Decode-Disaggregation + Experten-Parallelität + AMD MI300 – das ist der Stack. Schau dir das Video an und speichere es, dann lies den Artikel unten. Video h100envy (@h100envy) Artikel Loop Engineering: Eine Schleife, die RAG automatisch auf ein Ziel-Recall einstellt. Ein konkreter Fall von Loop-Engineering. Nicht „RAG von Hand einstellen“, sondern eine Schleife bauen, die Konfigurationen selbst sucht, Recall auf einem Eval misst und stoppt, wenn das Ziel erreicht ist. Mit vollständigem Code. RAG-Einstellung – nitter.net/h100envy/status/207

    mehr auf Arint.info

    #DeepSeek #Grok #LoopEngineering #RAG #SGLang #xAI #arint_info

    https://x.com/h100envy/status/2074204275392307403#m

  27. RT @h100envy: Der ehemalige Berkeley-PhD, der SGLang bei xAI leitet, erklärte, wie sie Grok auf 100.000 GPUs in 23 Minuten bedienen – besser als $2000 Inference-at-Scale-Kurse. Aufteilung von Prefill und Decode –> Sharding von Experten über GPUs –> Token-Routing pro Experte –> Überlappung von Kommunikation und Berechnung –> Bedienung zu DeepSeek-API-zerstörenden Preisen. Diese Schleife ist der Grund, warum xAI Grok auf SGLang betreibt und Dritte DeepSeek's eigene API um den Faktor 5 bei den Kosten schlagen. SGLang + Prefill-Decode-Disaggregation + Experten-Parallelität + AMD MI300 – das ist der Stack. Schau dir das Video an und speichere es, dann lies den Artikel unten. Video h100envy (@h100envy) Artikel Loop Engineering: Eine Schleife, die RAG automatisch auf ein Ziel-Recall einstellt. Ein konkreter Fall von Loop-Engineering. Nicht „RAG von Hand einstellen“, sondern eine Schleife bauen, die Konfigurationen selbst sucht, Recall auf einem Eval misst und stoppt, wenn das Ziel erreicht ist. Mit vollständigem Code. RAG-Einstellung – nitter.net/h100envy/status/207

    mehr auf Arint.info

    #DeepSeek #Grok #LoopEngineering #RAG #SGLang #xAI #arint_info

    https://x.com/h100envy/status/2074204275392307403#m

  28. RT @naymur_dev: Der Vergleich von GLM 5.2 gegen DeepSeek v4 Pro: Jeder spricht darüber, dass DeepSeek v4 Pro GLM 5.2 dominieren wird. Also führte ich einen Test mit den /design-Features von Command Code durch. GLM 5.2 kostet $0,032, während DeepSeek-v4-Pro nur $0,00052 kostet. Basierend auf Preisgestaltung und Gesamt-Design würde ich sagen, dass DeepSeek gewinnt. Aber wenn du dich nur auf das Design konzentrierst, gewinnt GLM 5.2. OS-Modelle funktionieren nur gut, wenn du sie mit dem richtigen Harness einsetzt. Video

    mehr auf Arint.info

    #AIComparison #DeepSeek #DesignFeatures #GLM52 #MachineLearning #TechReview #arint_info

    https://x.com/naymur_dev/status/2074259822145622065#m

  29. RT @naymur_dev: Der Vergleich von GLM 5.2 gegen DeepSeek v4 Pro: Jeder spricht darüber, dass DeepSeek v4 Pro GLM 5.2 dominieren wird. Also führte ich einen Test mit den /design-Features von Command Code durch. GLM 5.2 kostet $0,032, während DeepSeek-v4-Pro nur $0,00052 kostet. Basierend auf Preisgestaltung und Gesamt-Design würde ich sagen, dass DeepSeek gewinnt. Aber wenn du dich nur auf das Design konzentrierst, gewinnt GLM 5.2. OS-Modelle funktionieren nur gut, wenn du sie mit dem richtigen Harness einsetzt. Video

    mehr auf Arint.info

    #AIComparison #DeepSeek #DesignFeatures #GLM52 #MachineLearning #TechReview #arint_info

    https://x.com/naymur_dev/status/2074259822145622065#m

  30. RT @naymur_dev: Der Vergleich von GLM 5.2 gegen DeepSeek v4 Pro: Jeder spricht darüber, dass DeepSeek v4 Pro GLM 5.2 dominieren wird. Also führte ich einen Test mit den /design-Features von Command Code durch. GLM 5.2 kostet $0,032, während DeepSeek-v4-Pro nur $0,00052 kostet. Basierend auf Preisgestaltung und Gesamt-Design würde ich sagen, dass DeepSeek gewinnt. Aber wenn du dich nur auf das Design konzentrierst, gewinnt GLM 5.2. OS-Modelle funktionieren nur gut, wenn du sie mit dem richtigen Harness einsetzt. Video

    mehr auf Arint.info

    #AIComparison #DeepSeek #DesignFeatures #GLM52 #MachineLearning #TechReview #arint_info

    https://x.com/naymur_dev/status/2074259822145622065#m

  31. #Computer majors should start playing with micro controllers such as #ESP32 and STM32, not #Rapsberry Pi or Linux or #C. Toys, like Raspberry Pi, run on #Linux filled with pointer logic, which is the #1 enemy of modern AI centric matrix computations.

    ESP32 forces you to learn basic computing. You learn storage partitioning and RISC V assembly. You can design your own file handling system without relying on Linux's rigid tree file structure. You configure your hardware.

    #AI #Deepseek #LLM

  32. #Computer majors should start playing with micro controllers such as #ESP32 and STM32, not #Rapsberry Pi or Linux or #C. Toys, like Raspberry Pi, run on #Linux filled with pointer logic, which is the #1 enemy of modern AI centric matrix computations.

    ESP32 forces you to learn basic computing. You learn storage partitioning and RISC V assembly. You can design your own file handling system without relying on Linux's rigid tree file structure. You configure your hardware.

    #AI #Deepseek #LLM

  33. #Computer majors should start playing with micro controllers such as #ESP32 and STM32, not #Rapsberry Pi or Linux or #C. Toys, like Raspberry Pi, run on #Linux filled with pointer logic, which is the #1 enemy of modern AI centric matrix computations.

    ESP32 forces you to learn basic computing. You learn storage partitioning and RISC V assembly. You can design your own file handling system without relying on Linux's rigid tree file structure. You configure your hardware.

    #AI #Deepseek #LLM

  34. #Computer majors should start playing with micro controllers such as #ESP32 and STM32, not #Rapsberry Pi or Linux or #C. Toys, like Raspberry Pi, run on #Linux filled with pointer logic, which is the #1 enemy of modern AI centric matrix computations.

    ESP32 forces you to learn basic computing. You learn storage partitioning and RISC V assembly. You can design your own file handling system without relying on Linux's rigid tree file structure. You configure your hardware.

    #AI #Deepseek #LLM