<a href="https://www.techspot.com/news/110254-amd-drivers-may-writing-ssd-hundreds-times-but.html" target="_blank"><img src="https://www.techspot.com/images2/news/ts3_thumbs/2021/11/2021-11-13-ts3_thumbs-178.jpg" width="800" height="560" style="padding: 15px 0" title="AMD drivers may be writing to your SSD hundreds of times, but users (probably) shouldn't worry" /></a> Users with AMD chips who check log files within System32 might notice the constant modifications. The high rate of changes has sparked concern that the company's drivers are making excessive writes to SSDs, but whether users should be worried remains unclear. <a href="https://www.techspot.com/news/110254-amd-drivers-may-writing-ssd-hundreds-times-but.html">Read Entire Article</a>

أبلغ مستخدمو معالجات AMD أن ملفات السجل الخاصة بهم في System32 تظهر تعديلات متكررة، مما يشير إلى أن برامج تشغيل AMD قد تكتب على محركات SSD مئات المرات. لقد أثار هذا المعدل العالي من الكتابات مخاوف بين المستخدمين بشأن احتمال حدوث تآكل مفرط لمحركات SSD الخاصة بهم. ومع ذلك، لا يزال من غير الواضح ما إذا كانت هذه التعديلات ضارة أو ما إذا كان ينبغي على المستخدمين القلق بشأن تداعيات هذا السلوك.

Los usuarios con procesadores AMD han informado que sus archivos de registro en System32 muestran modificaciones frecuentes, lo que indica que los controladores de AMD pueden estar escribiendo en SSD cientos de veces. Esta alta frecuencia de escrituras ha suscitado preocupaciones entre los usuarios sobre el posible desgaste excesivo de sus SSD. Sin embargo, sigue sin estar claro si estas modificaciones son perjudiciales o si los usuarios deberían preocuparse genuinamente por las implicaciones de este comportamiento.

Des utilisateurs de processeurs AMD ont signalé que leurs fichiers journaux dans System32 montrent des modifications fréquentes, indiquant que les pilotes AMD pourraient écrire sur des SSD des centaines de fois. Cette fréquence élevée d'écritures a suscité des inquiétudes parmi les utilisateurs concernant une usure excessive potentielle de leurs SSD. Cependant, il reste incertain si ces modifications sont nuisibles ou si les utilisateurs devraient réellement s'inquiéter des implications de ce comportement.

Users with AMD processors have reported that their log files in System32 show frequent modifications, indicating that AMD drivers may be writing to SSDs hundreds of times. This high frequency of writes has raised concerns among users about potential excessive wear on their SSDs. However, it remains unclear whether these modifications are harmful or if users should be genuinely worried about the implications of this behavior.

AMD drivers may be writing to your SSD hundreds of times, but users (probably) shouldn't worry

Here's everything you need to know about the latest smart ring by Oura, based on a wearable expert's real-world usage.

Is the $500 Oura Ring 4 Ceramic worth it? I wore one for a month, and here's my advice

Samsung's QN90F QLED delivers great streaming and gaming performance, making it a strong holiday value.

Why I recommend this Samsung QLED TV over pricier OLED models in 2025 - and don't regret it

<h1>
 
 
 AI Amnesia: Erasing Knowledge Without a Trace
</h1>

Imagine your AI model accidentally learned something it shouldn't have – sensitive customer data, for example. Current methods for deleting this information often require retraining the entire model, an expensive and time-consuming process. What if we could surgically remove that knowledge without starting from scratch?

The key lies in a novel approach: creating artificial "forgetting cues." We're teaching the model to unlearn specific data patterns by exposing it to carefully crafted synthetic examples. These examples are designed to strongly contradict the information we want the model to forget, effectively overwriting the problematic associations in its memory. This works even if you don’t have access to the original data you need to erase.

Think of it like this: you're trying to forget a bad song stuck in your head. Instead of trying to actively suppress it (which rarely works), you blast an even more catchy song. The new song overwrites the old one, effectively erasing it from your mental playlist.

Benefits of Selective Forgetting:

<ul>
<li> Enhanced Data Privacy: Remove sensitive data without compromising the overall model's performance.</li>
<li> Reduced Retraining Costs: Avoid full model retraining, saving significant time and resources.</li>
<li> Improved Model Security: Eliminate vulnerabilities introduced by unintentionally learned patterns.</li>
<li> Adaptable Learning: Enables continuous refinement of AI models based on evolving data landscapes.</li>
<li> Compliance Ready: Supports compliance with data privacy regulations like GDPR.</li>
<li> Scalable Solutions: Works efficiently even with limited access to training data.</li>
</ul>

Practical Tip: One challenge is ensuring the synthetic data accurately targets the information you want to remove without negatively impacting the model's ability to generalize. Rigorous testing and validation with holdout datasets are crucial.

The promise of AI that can truly 'forget' opens exciting possibilities for responsible AI development. By enabling precise data deletion, we pave the way for more secure, compliant, and adaptable machine learning systems. Imagine AI models that can adapt to changing ethical guidelines or quickly unlearn incorrect information, all without massive retraining efforts. This is a crucial step towards trustworthy and responsible AI that respects data privacy and aligns with societal values. Future exploration could include extending this to different data modalities and model architectures.

Related Keywords: machine unlearning, data privacy, few-shot learning, zero-shot learning, synthetic data, model editing, catastrophic forgetting, incremental learning, continual learning, deep learning, neural networks, data security, algorithmic fairness, responsible ai, ethical ai, federated unlearning, privacy-preserving ai, model retraining, AI governance, data deletion, GDPR compliance

يتناول المقال نهجًا جديدًا لمعالجة مشكلة نسيان الذكاء الاصطناعي، حيث قد تحتفظ نماذج الذكاء الاصطناعي عن غير قصد بمعلومات حساسة. تتطلب الطرق التقليدية لحذف هذه البيانات غالبًا إعادة تدريب كاملة للنموذج، وهو ما يعد مكلفًا ويستغرق وقتًا. تتضمن التقنية الجديدة إنشاء 'إشارات نسيان' اصطناعية تساعد النموذج على نسيان أنماط بيانات معينة من خلال تعريضه لأمثلة صناعية تتناقض مع المعلومات غير المرغوب فيها، مما يسمح بإزالة المعرفة المستهدفة دون الحاجة للوصول إلى البيانات الأصلية.

El artículo aborda un nuevo enfoque para tratar el problema de la amnesia de la IA, donde los modelos de IA pueden retener inadvertidamente información sensible. Los métodos tradicionales para eliminar estos datos a menudo requieren un reentrenamiento completo del modelo, lo que es costoso y lleva tiempo. La nueva técnica implica crear 'señales de olvido' artificiales que ayudan al modelo a desaprender patrones de datos específicos al exponerlo a ejemplos sintéticos que contradicen la información no deseada, permitiendo así la eliminación selectiva de conocimientos sin necesidad de acceder a l…

L'article traite d'une nouvelle approche pour résoudre le problème de l'amnésie de l'IA, où les modèles d'IA peuvent involontairement conserver des informations sensibles. Les méthodes traditionnelles pour supprimer ces données nécessitent souvent un réentraînement complet du modèle, ce qui est coûteux et long. La nouvelle technique consiste à créer des 'cues d'oubli' artificiels qui aident le modèle à désapprendre des schémas de données spécifiques en lui présentant des exemples synthétiques qui contredisent les informations indésirables, permettant ainsi une suppression ciblée des connaissan…

The article discusses a novel approach to address the issue of AI amnesia, where AI models may inadvertently retain sensitive information. Traditional methods for deleting such data often require complete retraining of the model, which is costly and time-consuming. The new technique involves creating artificial 'forgetting cues' that help the model unlearn specific data patterns by presenting it with synthetic examples that contradict the unwanted information, allowing for targeted knowledge removal without needing access to the original data.

AI Amnesia: Erasing Knowledge Without a Trace

Baseus' Enercore CG11 travel adapter is one of the better designed ones I've tested, although its best feature isn't immediately apparent.

Traveling soon? Why this one charger is the only one you'll ever need to pack

Turning materials like wood chips, crop residues and municipal solid waste into fuels and chemicals is important for our country's energy independence.

طور الباحثون نماذج حاسوبية متقدمة تهدف إلى تحسين التنبؤات لعمليات طحن الكتلة الحيوية. تركز هذه الابتكارات على تحويل مواد مثل رقائق الخشب، بقايا المحاصيل، والنفايات الصلبة البلدية إلى وقود ومواد كيميائية قيمة، وهو أمر مهم لتعزيز استقلالية الطاقة في البلاد. من المتوقع أن تعمل النماذج على تحسين كفاءة معالجة الكتلة الحيوية، مما يساهم في حلول الطاقة المستدامة.

Investigadores han desarrollado modelos informáticos avanzados destinados a mejorar las predicciones para los procesos de molienda de biomasa. Esta innovación se centra en convertir materiales como astillas de madera, residuos de cultivos y residuos sólidos municipales en combustibles y productos químicos valiosos, lo que es crucial para mejorar la independencia energética del país. Se espera que los modelos optimicen la eficiencia del procesamiento de biomasa, contribuyendo así a soluciones energéticas sostenibles.

Des chercheurs ont développé des modèles informatiques avancés visant à améliorer les prévisions pour les processus de broyage de la biomasse. Cette innovation se concentre sur la conversion de matériaux tels que les copeaux de bois, les résidus de culture et les déchets solides municipaux en combustibles et produits chimiques précieux, ce qui est crucial pour renforcer l'indépendance énergétique du pays. Les modèles devraient optimiser l'efficacité du traitement de la biomasse, contribuant ainsi à des solutions énergétiques durables.

Researchers have developed advanced computer models aimed at improving predictions for biomass milling processes. This innovation focuses on converting materials such as wood chips, crop residues, and municipal solid waste into valuable fuels and chemicals, which is crucial for enhancing energy independence in the country. The models are expected to optimize the efficiency of biomass processing, thereby contributing to sustainable energy solutions.

Researchers develop computer models for better biomass milling predictions

The most interesting aspect of the latest Even Realities glasses may be their limitations.

I've tried several AI smart glasses (including Meta Ray-Bans) in 2025 - these are the most comfortable

<h1>
 
 
 Sector HQ Weekly Digest - November 17, 2025
</h1>

Who's shipping vs who's just talking? Here's this week's AI industry intelligence.

<h2>
 
 
 🏆 Top 10 Companies
</h2>

<ol>
<li>
OpenAI - Score: 442385.7 | 343 events this week</li>
<li>
Anthropic - Score: 266113.1 | 51 events this week</li>
<li>
Amazon - Score: 135242.8 | 22 events this week</li>
<li>
Nvidia - Score: 128360.7 | 161 events this week</li>
<li>
Google - Score: 111135.8 | 125 events this week</li>
<li>
Microsoft - Score: 95559.7 | 99 events this week</li>
<li>
Meta - Score: 78015.6 | 61 events this week</li>
<li>
Apple - Score: 64936.3 | 94 events this week</li>
<li>
Tesla - Score: 41242.1 | 12 events this week</li>
<li>
AMD - Score: 40235.9 | 43 events this week</li>
</ol>

<h2>
 
 
 📈 Biggest Movers
</h2>

<ul>
<li>↑ Sony jumped 277 positions to #58</li>
<li>↑ Stability AI jumped 183 positions to #78</li>
<li>↑ Bytedance jumped 143 positions to #68</li>
<li>↑ Scale AI jumped 122 positions to #66</li>
<li>↑ Palantir jumped 107 positions to #17</li>
</ul>

<h2>
 
 
 🚨 Hype Gap Alerts
</h2>

No high hype alerts this week

<h2>
 
 
 📊 Key Insights
</h2>

<ul>
<li>Total companies tracked: 100</li>
<li>Total events this week: 1317</li>
<li>Average activity per company: 13.2 events</li>
</ul>

<h2>
 
 
 💡 What This Means
</h2>

The AI industry continues to evolve rapidly. Companies that ship consistently rise in our rankings, while those focused on hype alone get flagged by our Hype Gap detector.

Methodology: Our leaderboard tracks real product releases, funding events, partnerships, and market traction - not just PR and social media buzz.




Want real-time updates? Check out the live leaderboard at <a href="https://sectorhq.co" rel="noopener noreferrer">sectorhq.co</a>

Track specific companies and get instant alerts when they move in the rankings.

<h2>
 
 
 Tags
</h2>

<h1>
 
 
 AI #ArtificialIntelligence #MachineLearning #TechIndustry #Startups #AILeaderboard
</h1>

تسليط الضوء على أحدث التطورات في صناعة الذكاء الاصطناعي في نشرة قطاع HQ الأسبوعية بتاريخ 17 نوفمبر 2025، مع التركيز على أداء الشركات الرائدة. تتصدر OpenAI القائمة برصيد 442385.7 و343 حدثًا، تليها Anthropic وAmazon. كما يشير التقرير إلى تحركات كبيرة، حيث قفزت Sony 277 مركزًا في الترتيب، مما يعكس الطبيعة الديناميكية للقطاع.

El Digest semanal de Sector HQ del 17 de noviembre de 2025 destaca los últimos desarrollos en la industria de la IA, centrándose en el rendimiento de las principales empresas. OpenAI lidera con una puntuación de 442385.7 y 343 eventos, seguido de Anthropic y Amazon. El informe también señala movimientos significativos, con Sony saltando 277 posiciones en el ranking, reflejando la naturaleza dinámica del sector de la IA.

Le Digest hebdomadaire du Secteur HQ du 17 novembre 2025 met en lumière les derniers développements de l'industrie de l'IA, en se concentrant sur la performance des principales entreprises. OpenAI est en tête avec un score de 442385,7 et 343 événements, suivi d'Anthropic et d'Amazon. Le rapport note également des mouvements significatifs, Sony ayant grimpé de 277 positions dans le classement, reflétant la nature dynamique du secteur de l'IA.

The Sector HQ Weekly Digest for November 17, 2025, highlights the latest developments in the AI industry, focusing on the performance of top companies. OpenAI leads with a score of 442385.7 and 343 events, followed by Anthropic and Amazon. The report also notes significant movements, with Sony jumping 277 positions in the rankings, reflecting the dynamic nature of the AI sector.

Sector HQ Weekly Digest - November 17, 2025

arXiv:2511.10909v1 Announce Type: cross 
Abstract: The rapidly growing computation demands of deep neural networks (DNNs) have driven hardware vendors to integrate matrix multiplication accelerators (MMAs), such as NVIDIA Tensor Cores and AMD Matrix Cores, into modern GPUs. However, due to distinct and undocumented arithmetic specifications for floating-point matrix multiplication, some MMAs can lead to numerical imprecision and inconsistency that can compromise the stability and reproducibility of DNN training and inference.
  This paper presents MMA-Sim, the first bit-accurate reference model that reveals the detailed arithmetic behaviors of the MMAs from ten GPU architectures (eight from NVIDIA and two from AMD). By dissecting the MMAs using a combination of targeted and randomized tests, our methodology derives nine arithmetic algorithms to simulate the floating-point matrix multiplication of the MMAs. Large-scale validation confirms bitwise equivalence between MMA-Sim and the real hardware. Using MMA-Sim, we investigate arithmetic behaviors that affect DNN training stability, and identify undocumented behaviors that could lead to significant errors.

تقدم الورقة نموذج MMA-Sim، وهو نموذج مرجعي دقيق بت-bit يقوم بتحليل السلوكيات الحسابية لمسرعات ضرب المصفوفات (MMAs) المستخدمة في وحدات معالجة الرسوميات الحديثة، وخاصة نوى Tensor من NVIDIA ونوى Matrix من AMD. مع تزايد الطلبات الحسابية على الشبكات العصبية العميقة (DNNs)، يمكن أن تؤدي المواصفات الحسابية المتميزة لهذه المسرعات إلى عدم دقة عددية تؤثر على استقرار تدريب DNN واستنتاجه. يكشف MMA-Sim عن خوارزميات حسابية مفصلة ويؤكد على التكافؤ بت-bit مع الأجهزة الحقيقية من خلال التحقق الواسع.

El artículo presenta MMA-Sim, un modelo de referencia bit-preciso que analiza los comportamientos aritméticos de los aceleradores de multiplicación de matrices (MMA) utilizados en las GPU modernas, específicamente los Tensor Cores de NVIDIA y los Matrix Cores de AMD. Con el aumento de las demandas computacionales de las redes neuronales profundas (DNN), las especificaciones aritméticas distintas de estos MMA pueden llevar a imprecisiones numéricas que afectan la estabilidad del entrenamiento y la inferencia de las DNN. MMA-Sim revela algoritmos aritméticos detallados y confirma la equivalencia…

Cet article présente MMA-Sim, un modèle de référence bit-précis qui analyse les comportements arithmétiques des accéléra­teurs de multiplication matricielle (MMA) utilisés dans les GPU modernes, en particulier les Tensor Cores de NVIDIA et les Matrix Cores d'AMD. Avec l'augmentation des demandes de calcul des réseaux de neurones profonds (DNN), les spécifications arithmétiques distinctes de ces MMA peuvent entraîner une imprécision numérique, affectant la stabilité de l'entraînement et de l'inférence des DNN. MMA-Sim révèle des algorithmes arithmétiques détaillés et confirme l'équivalence bit-…

The paper presents MMA-Sim, a bit-accurate reference model that analyzes the arithmetic behaviors of matrix multiplication accelerators (MMAs) used in modern GPUs, specifically NVIDIA Tensor Cores and AMD Matrix Cores. With the increasing computational demands of deep neural networks (DNNs), the distinct arithmetic specifications of these MMAs can lead to numerical imprecision, affecting DNN training and inference stability. MMA-Sim reveals detailed arithmetic algorithms and confirms bitwise equivalence with real hardware through extensive validation.

MMA-Sim: Bit-Accurate Reference Model of Tensor Cores and Matrix Cores

<a href="https://www.techspot.com/news/110306-microsoft-explains-how-windows-11-become-agentic-os.html" target="_blank"><img src="https://www.techspot.com/images2/news/ts3_thumbs/2025/11/2025-11-18-ts3_thumbs-d01.jpg" width="800" height="560" style="padding: 15px 0" title="Microsoft explains how Windows 11 will become an agentic OS whether you like it or not" /></a> Windows president Pavan Davuluri recently described the future of Windows as an agentic operating system, where AI bots and large language models handle the user's commands on files and computing tasks. Critics mostly greeted the idea with scorn, cursing, and frustration over the "bug-ridden slop pile" the OS currently is.... <a href="https://www.techspot.com/news/110306-microsoft-explains-how-windows-11-become-agentic-os.html">Read Entire Article</a>

وصف رئيس شركة مايكروسوفت، بavan دافولوري، خطط ويندوز 11 للتطور إلى ما يسميه 'نظام تشغيل وكيل'. ستتضمن هذه التحويلة دمج روبوتات الذكاء الاصطناعي ونماذج اللغة الكبيرة لإدارة أوامر المستخدم ومهام الحوسبة. ومع ذلك، تم استقبال هذا الإعلان بسخرية وانتقادات من المستخدمين الذين يشعرون بالإحباط من الحالة الحالية لنظام التشغيل، الذي يصفونه بأنه مليء بالأخطاء.

El presidente de Microsoft, Pavan Davuluri, ha descrito los planes para que Windows 11 evolucione hacia lo que él llama un 'sistema operativo agente'. Esta transformación implicará la integración de bots de IA y modelos de lenguaje para gestionar los comandos y tareas informáticas del usuario. Sin embargo, el anuncio ha sido recibido con escepticismo y críticas por parte de los usuarios, que están frustrados con el estado actual del sistema operativo, que describen como plagado de errores.

Le président de Microsoft, Pavan Davuluri, a décrit les projets de Windows 11 pour évoluer vers ce qu'il appelle un 'système d'exploitation agentique'. Cette transformation impliquera l'intégration de bots IA et de modèles de langage pour gérer les commandes des utilisateurs et les tâches informatiques. Cependant, cette annonce a été accueillie avec scepticisme et critiques de la part des utilisateurs frustrés par l'état actuel du système d'exploitation, qu'ils décrivent comme rempli de bogues.

Microsoft's president, Pavan Davuluri, has outlined plans for Windows 11 to evolve into what he describes as an 'agentic operating system.' This transformation will involve the integration of AI bots and large language models to manage user commands and computing tasks. However, the announcement has been met with skepticism and criticism from users who are frustrated with the current state of the operating system, which they describe as plagued by bugs.

Microsoft explains how Windows 11 will become an agentic OS whether you like it or not

<a href="https://www.techspot.com/news/110303-sundar-pichai-ai-boom-shows-irrational-investment-but.html" target="_blank"><img src="https://www.techspot.com/images2/news/ts3_thumbs/2025/11/2025-11-18-ts3_thumbs-045.jpg" width="800" height="560" style="padding: 15px 0" title="Sundar Pichai says AI boom shows irrational investment, but Google can weather the coming storm" /></a> Alphabet CEO Sundar Pichai says the AI market is experiencing clear signs of overexuberance, with some investment driven more by hype than fundamentals. Speaking exclusively to the BBC, he called the surge in funding an "extraordinary moment" while acknowledging elements of investor irrationality – a view echoed by OpenAI CEO... <a href="https://www.techspot.com/news/110303-sundar-pichai-ai-boom-shows-irrational-investment-but.html">Read Entire Article</a>

أعرب الرئيس التنفيذي لشركة ألفابت، سوندار بيتشاي، عن قلقه بشأن سوق الذكاء الاصطناعي الحالي، مشيرًا إلى علامات على الإفراط في التفاؤل والاستثمار غير العقلاني. في مقابلة مع بي بي سي، وصف الزيادة في التمويل بأنها 'لحظة استثنائية'، لكنه اعترف بأن بعض الاستثمارات مدفوعة أكثر بالضجيج من الأسس. تتماشى تعليقات بيتشاي مع مشاعر قادة الصناعة الآخرين، بما في ذلك الرئيس التنفيذي لشركة أوبن إيه آي، مما يبرز التقلبات المحتملة في قطاع الذكاء الاصطناعي.

El CEO de Alphabet, Sundar Pichai, ha expresado su preocupación por el actual mercado de inteligencia artificial (IA), indicando signos de sobreexuberancia e inversión irracional. En una entrevista con la BBC, describió el aumento en la financiación como un 'momento extraordinario', pero reconoció que algunas inversiones están impulsadas más por el bombo que por fundamentos. Los comentarios de Pichai se alinean con los sentimientos de otros líderes de la industria, incluido el CEO de OpenAI, destacando la volatilidad potencial en el sector de la IA.

Le PDG d'Alphabet, Sundar Pichai, a exprimé des inquiétudes concernant le marché actuel de l'intelligence artificielle (IA), indiquant des signes de surenchère et d'investissement irrationnel. Dans une interview avec la BBC, il a décrit l'augmentation du financement comme un 'moment extraordinaire', tout en reconnaissant que certains investissements sont davantage motivés par le battage médiatique que par des fondamentaux. Les remarques de Pichai s'alignent sur les sentiments d'autres leaders du secteur, y compris le PDG d'OpenAI, soulignant la volatilité potentielle dans le secteur de l'IA.

Alphabet CEO Sundar Pichai has expressed concerns about the current artificial intelligence (AI) market, indicating signs of overexuberance and irrational investment. In an interview with the BBC, he described the surge in funding as an 'extraordinary moment' but acknowledged that some investments are driven more by hype than by fundamentals. Pichai's remarks align with sentiments from other industry leaders, including OpenAI's CEO, highlighting the potential volatility in the AI sector.

Sundar Pichai says AI boom shows irrational investment, but Google can weather the coming storm

<a href="https://www.techspot.com/news/110305-playstation-black-friday-2025-deals-include-100-off.html" target="_blank"><img src="https://www.techspot.com/images2/news/ts3_thumbs/2025/11/2025-11-18-ts3_thumbs-785.jpg" width="800" height="560" style="padding: 15px 0" title="PlayStation Black Friday deals include $100 off PS5 and PS5 Pro consoles" /></a> The holiday shopping season has arrived, and so too have Sony's Black Friday offers. Starting from November 21, gamers and gift givers will have access to a range of deals on hardware, software, and accessories. <a href="https://www.techspot.com/news/110305-playstation-black-friday-2025-deals-include-100-off.html">Read Entire Article</a>

AMD drivers may be writing to your SSD hundreds of times, but users (probably) shouldn't worry

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