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ظهر نموذج كيمي K2 للتفكير كنموذج ثوري مفتوح المصدر للسببية يحتوي على تريليون معلمة، مما يمثل تقدمًا كبيرًا في الذكاء الاصطناعي. هذا التطور مهم لأنه لا يعزز فقط قدرات أنظمة الذكاء الاصطناعي، بل يعزز أيضًا الوصول والتعاون داخل مجتمع التكنولوجيا، مما يسمح للباحثين والمطورين بالبناء على هذا النموذج المتطور.

Kimi K2 Thinking ha surgido como un modelo de razonamiento de código abierto revolucionario que cuenta con un billón de parámetros, marcando un avance significativo en la inteligencia artificial. Este desarrollo es crucial ya que no solo mejora las capacidades de los sistemas de IA, sino que también promueve la accesibilidad y la colaboración dentro de la comunidad tecnológica, permitiendo a investigadores y desarrolladores construir sobre este modelo de última generación.

Kimi K2 Thinking a émergé comme un modèle de raisonnement open-source révolutionnaire avec un trillion de paramètres, marquant une avancée significative dans l'intelligence artificielle. Ce développement est crucial car il améliore non seulement les capacités des systèmes d'IA, mais favorise également l'accessibilité et la collaboration au sein de la communauté technologique, permettant aux chercheurs et aux développeurs de s'appuyer sur ce modèle à la pointe de la technologie.

Kimi K2 Thinking has emerged as a groundbreaking open-source reasoning model boasting a trillion parameters, marking a significant advancement in artificial intelligence. This development is crucial as it not only enhances the capabilities of AI systems but also promotes accessibility and collaboration within the tech community, allowing researchers and developers to build upon this state-of-the-art model.

Kimi K2 Thinking, a SOTA open-source trillion-parameter reasoning model

&nbsp;As US educators embrace AI in the classroom, firms are selling software to flag mentions of self-harm, raising concerns over privacy and control.

مع تزايد استخدام تقنية الذكاء الاصطناعي في الفصول الدراسية في الولايات المتحدة، بدأ المعلمون في استخدام الدردشة الآلية لمراقبة رفاهية الطلاب. بينما يمكن أن تساعد هذه الأدوات في تحديد علامات السلوكيات الذاتية الضارة، فإنها تثير أيضًا مخاوف كبيرة بشأن الخصوصية ومدى المراقبة في البيئات التعليمية. قد يؤثر هذا التحول نحو المراقبة المستمرة على ثقة الطلاب وحريتهم، مما يجعله قضية حاسمة للآباء والمعلمين على حد سواء.

A medida que la tecnología de IA se vuelve más común en las aulas de EE. UU., los educadores están utilizando cada vez más chatbots para monitorear el bienestar de los estudiantes. Si bien estas herramientas pueden ayudar a identificar signos de autolesionismo, también plantean preocupaciones significativas sobre la privacidad y el alcance de la vigilancia en los entornos educativos. Este cambio hacia la vigilancia constante podría afectar la confianza y la libertad de los estudiantes, convirtiéndolo en un tema crítico para padres y educadores.

Alors que la technologie de l'IA devient de plus en plus courante dans les salles de classe aux États-Unis, les éducateurs utilisent de plus en plus des chatbots pour surveiller le bien-être des élèves. Bien que ces outils puissent aider à identifier des signes de comportements autodestructeurs, ils soulèvent également d'importantes préoccupations concernant la vie privée et l'étendue de la surveillance dans les établissements éducatifs. Ce passage vers une surveillance constante pourrait affecter la confiance et la liberté des élèves, ce qui en fait un enjeu crucial pour les parents et les éducateurs.

As AI technology becomes more prevalent in classrooms across the US, educators are increasingly using chatbots to monitor student well-being. While these tools can help identify signs of self-harm, they also raise significant concerns about privacy and the extent of surveillance in educational settings. This shift towards constant monitoring could impact students' trust and freedom, making it a critical issue for parents and educators alike.

Chatbots Are Sparking a New Era of Student Surveillance

Olympus Corp.’s new Chief Executive Officer Bob White is shaking up the Tokyo-based medical devices maker after a difficult period that included the ouster of his predecessor in a drug scandal.

تخضع شركة أوليمبوس كورب. لتغييرات كبيرة تحت قيادة الرئيس التنفيذي الجديد بوب وايت، الذي ينفذ خطة إعادة هيكلة تهدف إلى إحياء الشركة بعد فترة صعبة تميزت بفضيحة تتعلق بالمخدرات وإقالة سلفه. هذه الخطوة مهمة لأنها تشير إلى بداية جديدة لأوليومبوس، مما قد يعيد ثقة المستثمرين ويحسن الكفاءة التشغيلية في سوق الأجهزة الطبية التنافسية.

Olympus Corp. está experimentando cambios significativos bajo el liderazgo del nuevo CEO Bob White, quien está implementando un plan de reestructuración destinado a revitalizar la empresa tras un período difícil marcado por un escándalo de drogas y la destitución de su predecesor. Este movimiento es crucial, ya que señala un nuevo comienzo para Olympus, lo que podría restaurar la confianza de los inversores y mejorar la eficiencia operativa en el competitivo mercado de dispositivos médicos.

Olympus Corp. connaît des changements importants sous la direction du nouveau PDG Bob White, qui met en œuvre un plan de restructuration visant à revitaliser l'entreprise après une période difficile marquée par un scandale lié aux médicaments et le renvoi de son prédécesseur. Ce mouvement est crucial car il signale un nouveau départ pour Olympus, ce qui pourrait restaurer la confiance des investisseurs et améliorer l'efficacité opérationnelle sur le marché concurrentiel des dispositifs médicaux.

Olympus Corp. is undergoing significant changes under the leadership of new CEO Bob White, who is implementing a restructuring plan aimed at revitalizing the company after a challenging period marked by a drug scandal and the ousting of his predecessor. This move is crucial as it signals a fresh start for Olympus, potentially restoring investor confidence and improving operational efficiency in the competitive medical devices market.

Olympus Cuts Jobs, Streamlines Operations Under New Leadership

I have no problem recommending the Hoto 12-in-1 electric screwdriver - a reliable tool that's been in my kit for over a year now.

لقد أثبت مفك البراغي الكهربائي Hoto 12 في 1 أنه أداة موثوقة في مجموعة أدواتي لأكثر من عام، والآن أصبح أكثر تكلفة. هذه التخفيضات في الأسعار تجعله خيارًا ممتازًا لأي شخص يتطلع إلى تحسين مشاريعه اليدوية دون إنفاق الكثير.

El destornillador eléctrico Hoto 12 en 1 ha demostrado ser una herramienta confiable en mi kit durante más de un año, y ahora es aún más asequible. Esta reducción de precio lo convierte en una excelente opción para cualquiera que busque mejorar sus proyectos de bricolaje sin gastar demasiado.

Le tournevis électrique Hoto 12-en-1 s'est révélé être un outil fiable dans ma boîte à outils depuis plus d'un an, et maintenant il est encore plus abordable. Cette baisse de prix en fait un excellent choix pour quiconque souhaite améliorer ses projets de bricolage sans se ruiner.

The Hoto 12-in-1 electric screwdriver has proven to be a dependable tool in my toolkit for over a year, and now it's even more affordable. This price drop makes it an excellent choice for anyone looking to enhance their DIY projects without breaking the bank.

This electric screwdriver is a reliable addition to my toolkit - and it just got even cheaper

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تكشف التوقعات الأخيرة لشركة ميتا أن نسبة مذهلة تبلغ 10% من إيراداتها المتوقعة لعام 2024 قد تأتي من الاحتيالات. تسلط هذه الإحصائية المقلقة الضوء على المشكلة المتزايدة للأنشطة الاحتيالية على المنصة، مما يثير القلق بشأن سلامة المستخدمين وثقتهم. بينما تتعامل ميتا مع هذه التحديات، قد تكون العواقب على سمعتها وصحتها المالية كبيرة، مما يجعلها موضوعًا حاسمًا للمستخدمين والمستثمرين على حد سواء.

Las recientes proyecciones de Meta revelan que un asombroso 10% de sus ingresos anticipados para 2024 podrían provenir de estafas. Esta estadística alarmante destaca el creciente problema de las actividades fraudulentas en la plataforma, lo que genera preocupaciones sobre la seguridad y la confianza de los usuarios. A medida que Meta navega por estos desafíos, las implicaciones para su reputación y salud financiera podrían ser significativas, convirtiéndolo en un tema crítico para usuarios e inversores.

Les récentes projections de Meta révèlent qu'un impressionnant 10 % de ses revenus prévus pour 2024 pourraient provenir d'escroqueries. Cette statistique alarmante met en lumière le problème croissant des activités frauduleuses sur la plateforme, suscitant des inquiétudes quant à la sécurité et à la confiance des utilisateurs. Alors que Meta fait face à ces défis, les implications pour sa réputation et sa santé financière pourraient être significatives, ce qui en fait un sujet crucial pour les utilisateurs et les investisseurs.

Meta's recent projections reveal that a staggering 10% of its anticipated revenue for 2024 could stem from scams. This alarming statistic highlights the growing issue of fraudulent activities on the platform, raising concerns about user safety and trust. As Meta navigates these challenges, the implications for its reputation and financial health could be significant, making it a critical topic for users and investors alike.

Meta projected 10% of 2024 revenue came from scams

Garmin could be working on an annual summary to help you understand your health and fitness.

تستعد شركة جارمين لإطلاق ميزة جديدة في عام 2025 ستوفر للمستخدمين ملخصًا سنويًا مخصصًا لأبرز إنجازاتهم في اللياقة البدنية، مشابهًا لتجربة سبوتيفاي وراپيد. تهدف هذه المبادرة إلى مساعدة الأفراد على فهم رحلتهم الصحية واللياقية بشكل أفضل، مما يسهل تتبع التقدم وتحديد الأهداف المستقبلية. إنه تطور مثير لعشاق اللياقة البدنية الذين يرغبون في البقاء متحمسين ومطلعين على إنجازاتهم.

Garmin se está preparando para lanzar una nueva función en 2025 que proporcionará a los usuarios un resumen anual personalizado de sus momentos destacados en fitness, similar a Spotify Wrapped. Esta iniciativa tiene como objetivo ayudar a las personas a comprender mejor su viaje de salud y fitness, facilitando el seguimiento del progreso y la fijación de objetivos futuros. Es un desarrollo emocionante para los entusiastas del fitness que desean mantenerse motivados e informados sobre sus logros.

Garmin se prépare à lancer une nouvelle fonctionnalité en 2025 qui fournira aux utilisateurs un résumé annuel personnalisé de leurs moments forts en matière de fitness, similaire à Spotify Wrapped. Cette initiative vise à aider les individus à mieux comprendre leur parcours de santé et de fitness, facilitant ainsi le suivi des progrès et la définition des objectifs futurs. C'est un développement passionnant pour les amateurs de fitness qui souhaitent rester motivés et informés de leurs réalisations.

Garmin is gearing up to launch a new feature in 2025 that will provide users with a personalized annual summary of their fitness highlights, similar to Spotify Wrapped. This initiative aims to help individuals better understand their health and fitness journey, making it easier to track progress and set future goals. It's an exciting development for fitness enthusiasts who want to stay motivated and informed about their achievements.

Garmin is planning a Spotify Wrapped-style review of your fitness highlights in 2025

Tune out (or rock out) with our favorite over-ears and earbuds.

في عام 2025، تتصاعد المنافسة على أفضل سماعات الرأس المزودة بتقنية إلغاء الضوضاء، مع تصدر علامات تجارية مثل سوني وبوز. لا تساعدك هذه السماعات فقط على عزل نفسك عن المشتتات، بل تعزز أيضًا تجربتك السمعية، مما يجعلها ضرورية لعشاق الموسيقى والمحترفين على حد سواء. مع التقدم التكنولوجي، تقدم الطرازات الأحدث جودة صوت وراحة فائقة، مما يضمن لك الاستمتاع بأغانيك أو بودكاستاتك المفضلة دون انقطاع.

En 2025, la competencia por los mejores auriculares con cancelación de ruido se intensifica, con marcas líderes como Sony y Bose a la cabeza. Estos auriculares no solo te ayudan a desconectarte de las distracciones, sino que también mejoran tu experiencia auditiva, haciéndolos esenciales para los amantes de la música y los profesionales. Con los avances tecnológicos, los últimos modelos ofrecen una calidad de sonido y comodidad superiores, asegurando que puedas disfrutar de tus canciones o podcasts favoritos sin interrupciones.

En 2025, la compétition pour les meilleurs écouteurs à réduction de bruit s'intensifie, avec des marques de premier plan comme Sony et Bose en tête. Ces écouteurs vous aident non seulement à vous isoler des distractions, mais améliorent également votre expérience d'écoute, ce qui les rend essentiels pour les amateurs de musique et les professionnels. Avec les avancées technologiques, les derniers modèles offrent une qualité sonore et un confort supérieurs, garantissant que vous pouvez profiter de vos morceaux ou podcasts préférés sans interruption.

In 2025, the competition for the best noise-canceling headphones is heating up, with top brands like Sony and Bose leading the charge. These headphones not only help you tune out distractions but also enhance your listening experience, making them essential for music lovers and professionals alike. With advancements in technology, the latest models offer superior sound quality and comfort, ensuring that you can enjoy your favorite tunes or podcasts without interruption.

Best Noise-Canceling Headphones (2025): Sony, Bose, and More

Even as <a href="https://www.tomshardware.com/tech-industry/openai-walks-back-statement-it-wants-a-government-backstop-for-its-massive-loans-company-says-government-playing-its-part-critical-for-industrial-ai-capacity-increases">concern and skepticism</a> grows over U.S. AI startup OpenAI&#x27;s buildout strategy and high spending commitments, Chinese open source AI providers are escalating their competition and one has even caught up to OpenAI&#x27;s flagship, paid proprietary model GPT-5 in key third-party performance benchmarks with a new, free model. The Chinese AI startup <a href="https://moonshotai.github.io/Kimi-K2/thinking.html">Moonshot AI’s new Kimi K2 Thinking model</a>, released today, has vaulted past both proprietary and open-weight competitors to claim the top position in reasoning, coding, and agentic-tool benchmarks. Despite being fully open-source, the model now outperforms OpenAI’s GPT-5, Anthropic’s Claude Sonnet 4.5 (Thinking mode), and xAI&#x27;s Grok-4 on several standard evaluations — an inflection point for the competitiveness of open AI systems.Developers can access the model via <a href="https://platform.moonshot.ai">platform.moonshot.ai</a> and <a href="https://kimi.com">kimi.com</a>; weights and code are hosted on <a href="https://huggingface.co/moonshotai/Kimi-K2-Thinking/tree/main">Hugging Face</a>. The open release includes APIs for chat, reasoning, and multi-tool workflows.Users can try out Kimi K2 Thinking directly through its own <a href="https://www.kimi.com/">ChatGPT-like website competitor</a> and on <a href="https://huggingface.co/spaces/moonshotai/Kimi-VL-A3B-Thinking">a Hugging Face space as well. </a><h3>Modified Standard Open Source License</h3>Moonshot AI has formally released Kimi K2 Thinking under a <a href="https://huggingface.co/moonshotai/Kimi-K2-Thinking/blob/main/LICENSE">Modified MIT License</a> on Hugging Face.The license grants full commercial and derivative rights — meaning individual researchers and developers working on behalf of enterprise clients can access it freely and use it in commercial applications — but adds one restriction:&quot;If the software or any derivative product serves over 100 million monthly active users or generates over $20 million USD per month in revenue, the deployer must prominently display &#x27;Kimi K2&#x27; on the product’s user interface.&quot;For most research and enterprise applications, this clause functions as a light-touch attribution requirement while preserving the freedoms of standard MIT licensing. It makes K2 Thinking one of the most permissively licensed frontier-class models currently available.<h3>A New Benchmark Leader</h3>Kimi K2 Thinking is a Mixture-of-Experts (MoE) model built around one trillion parameters, of which 32 billion activate per inference. It combines long-horizon reasoning with structured tool use, executing up to 200–300 sequential tool calls without human intervention.According to Moonshot’s published test results, K2 Thinking achieved:<ul><li>44.9 % on Humanity’s Last Exam (HLE), a state-of-the-art score;</li><li>60.2 % on BrowseComp, an agentic web-search and reasoning test;</li><li>71.3 % on SWE-Bench Verified and 83.1 % on LiveCodeBench v6, key coding evaluations;</li><li>56.3 % on Seal-0, a benchmark for real-world information retrieval.</li></ul>Across these tasks, K2 Thinking consistently outperforms GPT-5’s corresponding scores and <a href="https://venturebeat.com/ai/minimax-m2-is-the-new-king-of-open-source-llms-especially-for-agentic-tool">surpasses the previous open-weight leader MiniMax-M2</a>—released just weeks earlier by Chinese rival MiniMax AI.<h3>Open Model Outperforms Proprietary Systems</h3>GPT-5 and Claude Sonnet 4.5 Thinking remain the leading proprietary “thinking” models. Yet in the same benchmark suite, K2 Thinking’s agentic reasoning scores exceed both: for instance, on BrowseComp the open model’s 60.2 % decisively leads GPT-5’s 54.9 % and Claude 4.5’s 24.1 %.K2 Thinking also edges GPT-5 in GPQA Diamond (85.7 % vs 84.5 %) and matches it on mathematical reasoning tasks such as AIME 2025 and HMMT 2025. Only in certain heavy-mode configurations—where GPT-5 aggregates multiple trajectories—does the proprietary model regain parity.That Moonshot’s fully open-weight release can meet or exceed GPT-5’s scores marks a turning point. The gap between closed frontier systems and publicly available models has effectively collapsed for high-end reasoning and coding.<h3>Surpassing MiniMax-M2: The Previous Open-Source Benchmark</h3>When <a href="https://venturebeat.com/ai/minimax-m2-is-the-new-king-of-open-source-llms-especially-for-agentic-tool">VentureBeat profiled MiniMax-M2</a> just a week and a half ago, it was hailed as the “new king of open-source LLMs,” achieving top scores among open-weight systems:<ul><li>τ²-Bench 77.2</li><li>BrowseComp 44.0</li><li>FinSearchComp-global 65.5</li><li>SWE-Bench Verified 69.4</li></ul>Those results placed MiniMax-M2 near GPT-5-level capability in agentic tool use. Yet Kimi K2 Thinking now eclipses them by wide margins.Its BrowseComp result of 60.2 % exceeds M2’s 44.0 %, and its SWE-Bench Verified 71.3 % edges out M2’s 69.4 %. Even on financial-reasoning tasks such as FinSearchComp-T3 (47.4 %), K2 Thinking performs comparably while maintaining superior general-purpose reasoning.Technically, both models adopt sparse Mixture-of-Experts architectures for compute efficiency, but Moonshot’s network activates more experts and deploys advanced quantization-aware training (INT4 QAT). This design doubles inference speed relative to standard precision without degrading accuracy—critical for long “thinking-token” sessions reaching 256 k context windows.<h3>Agentic Reasoning and Tool Use</h3>K2 Thinking’s defining capability lies in its explicit reasoning trace. The model outputs an auxiliary field, reasoning_content, revealing intermediate logic before each final response. This transparency preserves coherence across long multi-turn tasks and multi-step tool calls.A reference implementation published by Moonshot demonstrates how the model autonomously conducts a “daily news report” workflow: invoking date and web-search tools, analyzing retrieved content, and composing structured output—all while maintaining internal reasoning state.This end-to-end autonomy enables the model to plan, search, execute, and synthesize evidence across hundreds of steps, mirroring the emerging class of “agentic AI” systems that operate with minimal supervision.<h3>Efficiency and Access</h3>Despite its trillion-parameter scale, K2 Thinking’s runtime cost remains modest. Moonshot lists usage at:<ul><li>$0.15 / 1 M tokens (cache hit)</li><li>$0.60 / 1 M tokens (cache miss)</li><li>$2.50 / 1 M tokens output</li></ul>These rates are competitive even against MiniMax-M2’s $0.30 input / $1.20 output pricing—and an order of magnitude below GPT-5 ($1.25 input / $10 output).<h3>Comparative Context: Open-Weight Acceleration</h3>The rapid succession of M2 and K2 Thinking illustrates how quickly open-source research is catching frontier systems. MiniMax-M2 demonstrated that open models could approach GPT-5-class agentic capability at a fraction of the compute cost. Moonshot has now advanced that frontier further, pushing open weights beyond parity into outright leadership.Both models rely on sparse activation for efficiency, but K2 Thinking’s higher activation count (32 B vs 10 B active parameters) yields stronger reasoning fidelity across domains. Its test-time scaling—expanding “thinking tokens” and tool-calling turns—provides measurable performance gains without retraining, a feature not yet observed in MiniMax-M2.<h3>Technical Outlook</h3>Moonshot reports that K2 Thinking supports native INT4 inference and 256 k-token contexts with minimal performance degradation. Its architecture integrates quantization, parallel trajectory aggregation (“heavy mode”), and Mixture-of-Experts routing tuned for reasoning tasks.In practice, these optimizations allow K2 Thinking to sustain complex planning loops—code compile–test–fix, search–analyze–summarize—over hundreds of tool calls. This capability underpins its superior results on BrowseComp and SWE-Bench, where reasoning continuity is decisive.<h3>Enormous Implications for the AI Ecosystem</h3>The convergence of open and closed models at the high end signals a structural shift in the AI landscape. Enterprises that once relied exclusively on proprietary APIs can now deploy open alternatives matching GPT-5-level reasoning while retaining full control of weights, data, and compliance.Moonshot’s open publication strategy follows the precedent set by DeepSeek R1, Qwen3, GLM-4.6 and MiniMax-M2 but extends it to full agentic reasoning. For academic and enterprise developers, K2 Thinking provides both transparency and interoperability—the ability to inspect reasoning traces and fine-tune performance for domain-specific agents.The arrival of K2 Thinking signals that Moonshot — a <a href="https://techcrunch.com/2024/02/21/moonshot-ai-funding-china/">young startup founded in 2023</a> with investment from some of China&#x27;s biggest apps and tech companies — is here to play in an intensifying competition, and comes amid growing scrutiny of the financial sustainability of AI’s largest players. Just a day ago, OpenAI CFO Sarah Friar sparked controversy after <a href="https://www.wsj.com/tech/ai/openai-isnt-yet-working-toward-an-ipo-cfo-says-58037472?gaa_at=eafs&amp;gaa_n=AWEtsqfPSJ91IQIG678OHyyBAwXqBLDfUb01-yZGSGU-uiYZq5Oudu3hFs6HuIdk-2A%3D&amp;gaa_ts=690cdeaf&amp;gaa_sig=vcfYpYv-Y0bP8WOkElUbVMCF-MAssgO9v2J34nzp5c7Mr0hs2x6WddR6gK12PW2xhfZiNCQrUUQCrRizxbFkMA%3D%3D">suggesting at WSJ Tech Live</a> event that the U.S. government might eventually need to provide a “backstop” for the company’s more than $1.4 trillion in compute and data-center commitments — a comment widely interpreted as a call for taxpayer-backed loan guarantees.Although <a href="https://www.cnbc.com/2025/11/06/openai-cfo-sarah-friar-says-company-is-not-seeking-government-backstop.html">Friar later clarified that OpenAI</a> was not seeking direct federal support, the episode reignited debate about the scale and concentration of AI capital spending. With OpenAI, Microsoft, Meta, and Google all racing to secure long-term chip supply, critics warn of an unsustainable investment bubble and “AI arms race” driven more by strategic fear than commercial returns — one that could &quot;blow up&quot; and take down the entire global economy with it if there is hesitation or market uncertainty, as so many trades and valuations have now been made in anticipation of continued hefty AI investment and massive returns. Against that backdrop, Moonshot AI’s and MiniMax’s open-weight releases put more pressure on U.S. proprietary AI firms and their backers to justify the size of the investments and paths to profitability. If an enterprise customer can just as easily get comparable or better performance from a free, open source Chinese AI model than they do with paid, proprietary AI solutions like OpenAI&#x27;s GPT-5, Anthropic&#x27;s Claude Sonnet 4.5, or Google&#x27;s Gemini 2.5 Pro — why would they continue paying to access the proprietary models? Already, Silicon Valley stalwarts like Airbnb have raised eyebrows for admitting to heavily <a href="https://www.scmp.com/tech/tech-trends/article/3329921/airbnb-picks-alibabas-qwen-over-chatgpt-win-chinese-open-source-ai">using Chinese open source alternatives like Alibaba&#x27;s Qwen over OpenAI&#x27;s proprietary offerings</a>. For investors and enterprises, these developments suggest that high-end AI capability is no longer synonymous with high-end capital expenditure. The most advanced reasoning systems may now come not from companies building gigascale data centers, but from research groups optimizing architectures and quantization for efficiency.In that sense, K2 Thinking’s benchmark dominance is not just a technical milestone—it’s a strategic one, arriving at a moment when the AI market’s biggest question has shifted from how powerful models can become to who can afford to sustain them.<h3>What It Means for Enterprises Going Forward</h3>Within weeks of MiniMax-M2’s ascent, Kimi K2 Thinking has overtaken it—along with GPT-5 and Claude 4.5—across nearly every reasoning and agentic benchmark. The model demonstrates that open-weight systems can now meet or surpass proprietary frontier models in both capability and efficiency.For the AI research community, K2 Thinking represents more than another open model: it is evidence that the frontier has become collaborative. The best-performing reasoning model available today is not a closed commercial product but an open-source system accessible to anyone.

ظهرت تفكير كيمي K2 من Moonshot كأحد أبرز الذكاءات الاصطناعية مفتوحة المصدر، متفوقة على نماذج راسخة مثل GPT-5 وClaude Sonnet 4.5 في معايير رئيسية. هذا التطور مهم لأنه يبرز المنافسة المتزايدة في قطاع الذكاء الاصطناعي، خاصة من مقدمي الخدمات الصينيين، ويثير تساؤلات حول استدامة استراتيجية الإنفاق العالي لشركة OpenAI. مع تطور المشهد، يمكن أن تسهم التقدمات في الذكاء الاصطناعي مفتوح المصدر في ديمقراطية الوصول إلى تقنيات قوية، مما يعود بالفائدة على مجموعة واسعة من المستخدمين والصناعات.

El pensamiento Kimi K2 de Moonshot ha surgido como una IA de código abierto líder, superando a modelos establecidos como GPT-5 y Claude Sonnet 4.5 en métricas clave. Este desarrollo es significativo ya que destaca la creciente competencia en el sector de la IA, especialmente de proveedores chinos, y plantea preguntas sobre la sostenibilidad de la estrategia de altos gastos de OpenAI. A medida que el panorama evoluciona, los avances en IA de código abierto podrían democratizar el acceso a tecnologías poderosas, beneficiando a una gama más amplia de usuarios e industrias.

La pensée Kimi K2 de Moonshot est devenue une IA open source de premier plan, surpassant des modèles établis comme GPT-5 et Claude Sonnet 4.5 sur des critères clés. Ce développement est important car il souligne la concurrence croissante dans le secteur de l'IA, en particulier de la part des fournisseurs chinois, et soulève des questions sur la durabilité de la stratégie de dépenses élevées d'OpenAI. À mesure que le paysage évolue, les avancées en matière d'IA open source pourraient démocratiser l'accès à des technologies puissantes, bénéficiant à un plus large éventail d'utilisateurs et d'industries.

Moonshot's Kimi K2 Thinking has emerged as a leading open source AI, surpassing established models like GPT-5 and Claude Sonnet 4.5 on key benchmarks. This development is significant as it highlights the growing competition in the AI sector, particularly from Chinese providers, and raises questions about the sustainability of OpenAI's high spending strategy. As the landscape evolves, the advancements in open source AI could democratize access to powerful technologies, benefiting a wider range of users and industries.

Moonshot's Kimi K2 Thinking emerges as leading open source AI, outperforming GPT-5, Claude Sonnet 4.5 on key benchmarks

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تبحث شركة Sweep، وهي شركة ناشئة من دفعة صيف 2023 في Y Combinator، عن مواهب جديدة للمساعدة في تطوير ميزة الإكمال التلقائي لـ JetBrains. هذه أخبار مثيرة لأنها تسلط الضوء على الطلب المتزايد على الأدوات المبتكرة في تطوير البرمجيات، والانضمام إلى Sweep قد يكون فرصة رائعة لأولئك الذين يتطلعون إلى تحقيق تأثير في صناعة التكنولوجيا.

Sweep, una startup de la cohorte de verano de 2023 de Y Combinator, está buscando nuevos talentos para ayudar a desarrollar una función de autocompletar para JetBrains. Esta es una noticia emocionante, ya que destaca la creciente demanda de herramientas innovadoras en el desarrollo de software, y unirse a Sweep podría ser una gran oportunidad para aquellos que buscan tener un impacto en la industria tecnológica.

Sweep, une startup du programme Y Combinator de l'été 2023, est à la recherche de nouveaux talents pour développer une fonctionnalité de saisie semi-automatique pour JetBrains. C'est une nouvelle enthousiasmante qui souligne la demande croissante d'outils innovants dans le développement logiciel, et rejoindre Sweep pourrait être une excellente opportunité pour ceux qui souhaitent avoir un impact dans l'industrie technologique.

Sweep, a startup from Y Combinator's Summer 2023 batch, is on the lookout for new talent to help develop an autocomplete feature for JetBrains. This is exciting news as it highlights the growing demand for innovative tools in software development, and joining Sweep could be a great opportunity for those looking to make an impact in the tech industry.

Sweep (YC S23) is hiring to build autocomplete for JetBrains

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تحدثت شركة ناشئة جديدة عن نهجها المبتكر لتخزين الكهرباء في المحيط. يمكن أن تحدث هذه التكنولوجيا ثورة في تخزين الطاقة، مما يجعلها أكثر كفاءة واستدامة. من خلال استغلال الإمكانات الهائلة للموارد البحرية، تهدف الشركة الناشئة إلى تقديم حل طاقة أنظف يمكن أن يؤثر بشكل كبير على جهودنا في مكافحة تغير المناخ.

Una nueva startup está causando revuelo con su enfoque innovador para almacenar electricidad en el océano. Esta tecnología podría revolucionar el almacenamiento de energía, haciéndolo más eficiente y sostenible. Al aprovechar el vasto potencial de los recursos oceánicos, la startup busca ofrecer una solución energética más limpia que podría tener un impacto significativo en nuestra lucha contra el cambio climático.

Une nouvelle startup fait sensation avec son approche innovante du stockage d'électricité dans l'océan. Cette technologie pourrait révolutionner le stockage d'énergie, le rendant plus efficace et durable. En exploitant le potentiel immense des ressources océaniques, la startup vise à fournir une solution énergétique plus propre qui pourrait avoir un impact significatif dans notre lutte contre le changement climatique.

A new startup is making waves with its innovative approach to storing electricity in the ocean. This technology could revolutionize energy storage, making it more efficient and sustainable. By harnessing the vast potential of ocean resources, the startup aims to provide a cleaner energy solution that could significantly impact our fight against climate change.

Kimi K2 Thinking, a SOTA open-source trillion-parameter reasoning model

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