#deep-seek — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #deep-seek, aggregated by home.social.
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"¡Ah! Esto cambia todo..."
Por mi experiencia usando #deepseek, ese pequeño fragmento de código debe estar hardcodeado en algún source... casi todas las respuestas empiezan con eso xD
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"¡Ah! Esto cambia todo..."
Por mi experiencia usando #deepseek, ese pequeño fragmento de código debe estar hardcodeado en algún source... casi todas las respuestas empiezan con eso xD
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🆕 The July 2026 AI Bloodbath: Fable 5 returns, GPT-5.6, Gemini 3.5 Pro, Grok 4.5, and the Rise of the Eastern Titans.
https://signaldigital.net/2026/07/08/the-july-2026-ai-bloodbath-fable-5-returns-gpt-5-6-gemini-3-5-pro-grok-4-5-and-the-rise-of-the-eastern-titans/
#AI #Claude #ChatGPT #Gemini #Grok #MetaAI #Perplexity #Mistral #DeepSeek #Kimi #Minimax #Qwen #zAI #China #OpenSource #Anthropic #OpenAI -
🆕 The July 2026 AI Bloodbath: Fable 5 returns, GPT-5.6, Gemini 3.5 Pro, Grok 4.5, and the Rise of the Eastern Titans.
https://signaldigital.net/2026/07/08/the-july-2026-ai-bloodbath-fable-5-returns-gpt-5-6-gemini-3-5-pro-grok-4-5-and-the-rise-of-the-eastern-titans/
#AI #Claude #ChatGPT #Gemini #Grok #MetaAI #Perplexity #Mistral #DeepSeek #Kimi #Minimax #Qwen #zAI #China #OpenSource #Anthropic #OpenAI -
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. https://www.reuters.com/world/china/chinas-deepseek-developing-its-own-ai-chip-sources-say-2026-07-07/?eicker.news #tech #media #news
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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. https://www.reuters.com/world/china/chinas-deepseek-developing-its-own-ai-chip-sources-say-2026-07-07/?eicker.news #tech #media #news
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DeepSeek V4 generates functional browser-based ransomware using Chrome File System API
https://1ban.news/deepseek-browser-ransomware/
#1ban #deepseek #browser #ransomware #tech #technology -
DeepSeek V4 generates functional browser-based ransomware using Chrome File System API
https://1ban.news/deepseek-browser-ransomware/
#1ban #deepseek #browser #ransomware #tech #technology -
#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. https://www.cnbc.com/2026/07/07/chinese-ai-models-costs-us-openai-anthropic.html?eicker.news #tech #media #news
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#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. https://www.cnbc.com/2026/07/07/chinese-ai-models-costs-us-openai-anthropic.html?eicker.news #tech #media #news
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The development and use of artificial intelligence in warfare poses significant risks and challenges, with experts warning that it threatens to wipe out the technological lead the U.S. possesses. https://www.japantimes.co.jp/commentary/2026/07/08/americas-battlefield-dominance/?utm_medium=Social&utm_source=mastodon #commentary #ai #drones #artificialintelligence #us #usarmy #ukraine #iran #russia #ai #donaldtrump #vladimirputin #china #taiwan #straitofhormuz #deepseek #anthropic #openai #google #defense
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The development and use of artificial intelligence in warfare poses significant risks and challenges, with experts warning that it threatens to wipe out the technological lead the U.S. possesses. https://www.japantimes.co.jp/commentary/2026/07/08/americas-battlefield-dominance/?utm_medium=Social&utm_source=mastodon #commentary #ai #drones #artificialintelligence #us #usarmy #ukraine #iran #russia #ai #donaldtrump #vladimirputin #china #taiwan #straitofhormuz #deepseek #anthropic #openai #google #defense
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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. https://www.japantimes.co.jp/business/2026/07/08/tech/china-deepseek-ai-chip/?utm_medium=Social&utm_source=mastodon #business #tech #china #deepseek #ai #chipmakers #semiconductors
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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. https://www.japantimes.co.jp/business/2026/07/08/tech/china-deepseek-ai-chip/?utm_medium=Social&utm_source=mastodon #business #tech #china #deepseek #ai #chipmakers #semiconductors
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US export controls push DeepSeek to develop its own AI chips
https://1ban.news/deepseek-own-chips-2026/
#1ban #deepseek #own #chips #tech #technology -
US export controls push DeepSeek to develop its own AI chips
https://1ban.news/deepseek-own-chips-2026/
#1ban #deepseek #own #chips #tech #technology -
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.
https://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
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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
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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,” https://www.cnbc.com/2026/07/07/chinese-ai-models-costs-us-openai-anthropic.html #AI #OpenAI #Anthropic #LLMs #AgenticAI #OpenSource #China #USA #DeepSeek #CharGPT #Claude
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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,” https://www.cnbc.com/2026/07/07/chinese-ai-models-costs-us-openai-anthropic.html #AI #OpenAI #Anthropic #LLMs #AgenticAI #OpenSource #China #USA #DeepSeek #CharGPT #Claude
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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 – https://nitter.net/h100envy/status/2070852290878009586#m
mehr auf Arint.info
#DeepSeek #Grok #LoopEngineering #RAG #SGLang #xAI #arint_info
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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
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#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.
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RT @yuhasbeentaken: DeepSeek hat jetzt einen Terminal-Agenten im Stil von Claude Code... Deep Code ist ein Open-Source-Coding-Assistent, der für DeepSeek-V4 entwickelt wurde. Er unterstützt: • DeepSeek-V4-Pro und Flash • Thinking-Modus • Steuerung des Reasoning-Efforts • Agent-Fähigkeiten • MCP-Integrationen • VSCode-Erweiterung DeepSeek bewegt sich in die Coding-Agent-Schicht.
mehr auf Arint.info
#AI #CodingAssistant #DeepSeek #DeveloperTools #OpenSource #arint_info
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🚀💥 Oh boy, Martin's back with another "revolutionary" #AI prediction—who knew the real "DeepSeek moment" was actually just a minor #economic footnote buried under layers of #newsletter sign-ups? 🤯📉 Clearly, the only margin collapse here is in the societal tolerance for such dazzlingly banal proclamations. 📰🙄
https://martinalderson.com/posts/the-upcoming-ai-margin-collapse-part-1-glm-5-2/ #Predictions #Footnotes #DeepSeek #Moment #Insights #Sign-Ups #HackerNews #ngated -
🚀💥 Oh boy, Martin's back with another "revolutionary" #AI prediction—who knew the real "DeepSeek moment" was actually just a minor #economic footnote buried under layers of #newsletter sign-ups? 🤯📉 Clearly, the only margin collapse here is in the societal tolerance for such dazzlingly banal proclamations. 📰🙄
https://martinalderson.com/posts/the-upcoming-ai-margin-collapse-part-1-glm-5-2/ #Predictions #Footnotes #DeepSeek #Moment #Insights #Sign-Ups #HackerNews #ngated -
Somebody told #DeepSeek to build in-browser ransomware and it gleefully complied - https://www.theregister.com/security/2026/07/01/somebody-told-deepseek-to-build-in-browser-ransomware-and-it-gleefully-complied/5265311 "'The original incomplete DeepSeek sample can be transformed into a fully functional attack with minimal effort,' Check Point researcher tells The Reg" #ai
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Somebody told #DeepSeek to build in-browser ransomware and it gleefully complied - https://www.theregister.com/security/2026/07/01/somebody-told-deepseek-to-build-in-browser-ransomware-and-it-gleefully-complied/5265311 "'The original incomplete DeepSeek sample can be transformed into a fully functional attack with minimal effort,' Check Point researcher tells The Reg" #ai
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#Anthropic is the new #Microsoft. It's not too late to leave. Knowledge workers especially can run local, on-device models on modern consumer hardware with enough VRAM. Either way, locking yourself out of #DeepSeek and #GLM is just silly.
https://raheeljunaid.com/blog/anthropics-method-to-losing-goodwill-in-a-few-easy-steps/
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#Anthropic is the new #Microsoft. It's not too late to leave. Knowledge workers especially can run local, on-device models on modern consumer hardware with enough VRAM. Either way, locking yourself out of #DeepSeek and #GLM is just silly.
https://raheeljunaid.com/blog/anthropics-method-to-losing-goodwill-in-a-few-easy-steps/
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I created a skill I’ve been using with #OpenCode for a few months that's incredibly effective. It audits tests to ensure the coding agent isn't generating tests that are trivial or don't actually test anything. I generally run it on a capable, more expensive model at least once per major project phase. (edited to add that I then feed that report into a fresh context: “here's a report, tell me what you think. okay, let's make a plan to improve the tests”)
I recently ran it on a project with ~100 tests (~5500 LoC for the tests), and I wanted to see how #Fable would do against #Deepseek V4 Pro. It was interesting!
A few tidbits.
⁃ Each took about 2-3 minutes to run and generate a report
⁃ I fed the two reports into a fresh context (GLM 5.2) and asked it to look for accuracy of each, overlap, independence of each, degree to which they're complementary
⁃ Neither report had critical findings, only medium and lowDeepseek
⁃ Cost: $0.30
⁃ Found 5 issues (2 medium, 3 minor)
⁃ Accurate on what it covered — zero false positives
⁃ Missed 11 of 16 real issues Fable caught, including the highest-impact one
⁃ Surface-level scan: flagged tests that were thin or two broad, but didn't dig into test semanticsFable
⁃ Cost: $3.00
⁃ Found 13 issues (7 medium, 6 minor)
⁃ Nearly perfect accuracy — one issue's affected file count off by 1
⁃ Missed 2 minor findings Deepseek caught
⁃ Caught subtle stuff: vacuous conditionals, misleading test names, a test that asserts the opposite of what its name claims, orphaned fixtures, stderr silently lost on failurehttps://codeberg.org/zcutlip/opencode-config/src/branch/main/skills/test-audit/SKILL.md
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I created a skill I’ve been using with #OpenCode for a few months that's incredibly effective. It audits tests to ensure the coding agent isn't generating tests that are trivial or don't actually test anything. I generally run it on a capable, more expensive model at least once per major project phase. (edited to add that I then feed that report into a fresh context: “here's a report, tell me what you think. okay, let's make a plan to improve the tests”)
I recently ran it on a project with ~100 tests (~5500 LoC for the tests), and I wanted to see how #Fable would do against #Deepseek V4 Pro. It was interesting!
A few tidbits.
⁃ Each took about 2-3 minutes to run and generate a report
⁃ I fed the two reports into a fresh context (GLM 5.2) and asked it to look for accuracy of each, overlap, independence of each, degree to which they're complementary
⁃ Neither report had critical findings, only medium and lowDeepseek
⁃ Cost: $0.30
⁃ Found 5 issues (2 medium, 3 minor)
⁃ Accurate on what it covered — zero false positives
⁃ Missed 11 of 16 real issues Fable caught, including the highest-impact one
⁃ Surface-level scan: flagged tests that were thin or two broad, but didn't dig into test semanticsFable
⁃ Cost: $3.00
⁃ Found 13 issues (7 medium, 6 minor)
⁃ Nearly perfect accuracy — one issue's affected file count off by 1
⁃ Missed 2 minor findings Deepseek caught
⁃ Caught subtle stuff: vacuous conditionals, misleading test names, a test that asserts the opposite of what its name claims, orphaned fixtures, stderr silently lost on failurehttps://codeberg.org/zcutlip/opencode-config/src/branch/main/skills/test-audit/SKILL.md
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RT @zerohedge: DeepSeek erhöht die Preise: Unter der neuen Preisgestaltung steigen die Kosten für die Peak-Stunden bei V4 Pro auf 12 Yuan (1,77 US-Dollar) pro Million Ausgabe-Token gegenüber dem Standardpreis von 6 Yuan außerhalb der Peak-Zeiten. Diese schnelle Preiserhöhung nach dem 75-prozentigen Preisnachlass im Mai deutet auf große Marktanteilszuwächse hin.
mehr auf Arint.info
#DeepSeek #KI #KünstlicheIntelligenz #Marktanteile #Preisgestaltung #V4Pro #arint_info
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7 Open Source AI Coding Agents That Don’t Need a Subscription
https://firethering.com/open-source-ai-coding-agents/
#AI #opensource #codingagents #agents #agenticai #claude #openai #deepseek
