<A HREF="https://www.cnbc.com/2025/11/14/warren-buffetts-berkshire-hathaway-reveals-new-position-in-alphabet.html"><IMG VSPACE="4" HSPACE="4" BORDER="0" ALIGN="RIGHT" SRC="http://www.techmeme.com/251114/i27.jpg"></A>
<A HREF="http://www.techmeme.com/251114/p27#a251114p27" TITLE="Techmeme permalink"><IMG WIDTH=11 HEIGHT=12 SRC="http://www.techmeme.com/img/pml.png" STYLE="border:none;padding:0;margin:0;"></A> Yun Li / <A HREF="http://www.cnbc.com/">CNBC</A>: 
<A HREF="https://www.cnbc.com/2025/11/14/warren-buffetts-berkshire-hathaway-reveals-new-position-in-alphabet.html">Filing: Berkshire Hathaway discloses a $4.3B stake in Alphabet in Q3, a surprising move given Warren Buffett's reluctance toward high-growth, tech-driven stocks</A>&nbsp; &mdash;&nbsp; Warren Buffett's Berkshire Hathaway revealed a new position in internet and AI giant Alphabet in a filing &hellip;

كشفت شركة بيركشاير هاثاواي، بقيادة وارن بافيت، عن استثمار بقيمة 4.3 مليار دولار في شركة ألفابت خلال الربع الثالث من عام 2025. يُعتبر هذا الاستثمار ملحوظًا نظرًا لرفض بافيت التاريخي للاستثمار في الشركات ذات النمو المرتفع المدفوعة بالتكنولوجيا. تسلط الوثيقة الضوء على تحول كبير في استراتيجية شركة الاستثمار، التي كانت تفضل عادةً الصناعات التقليدية. وقد أثار هذا الخبر اهتمام المستثمرين والمحللين، نظرًا لموقف بافيت الحذر تجاه الأسهم التكنولوجية.

Berkshire Hathaway, bajo la dirección de Warren Buffett, reveló una participación de 4.3 mil millones de dólares en Alphabet durante el tercer trimestre de 2025. Esta inversión es notable dado la histórica reticencia de Buffett a invertir en empresas de alto crecimiento impulsadas por la tecnología. La presentación destaca un cambio significativo en la estrategia de la firma de inversión, que tradicionalmente ha favorecido industrias más convencionales. La noticia ha despertado el interés entre inversores y analistas, considerando la postura cautelosa de Buffett sobre las acciones tecnológicas.

Berkshire Hathaway, dirigé par Warren Buffett, a révélé une participation de 4,3 milliards de dollars dans Alphabet au cours du troisième trimestre de 2025. Cet investissement est remarquable compte tenu de la réticence historique de Buffett à investir dans des entreprises à forte croissance et axées sur la technologie. Le dépôt met en lumière un changement de stratégie significatif pour la société d'investissement, qui a généralement favorisé des industries plus traditionnelles. Cette nouvelle a suscité l'intérêt des investisseurs et des analystes, compte tenu de la position prudente de Buffett sur les actions technologiques.

Berkshire Hathaway, led by Warren Buffett, disclosed a $4.3 billion stake in Alphabet during the third quarter of 2025. This investment is notable given Buffett's historical reluctance to invest in high-growth, technology-driven companies. The filing highlights a significant shift in strategy for the investment firm, which has typically favored more traditional industries. The news has sparked interest among investors and analysts, considering Buffett's previous cautious stance on tech stocks.

Filing: Berkshire Hathaway discloses a $4.3B stake in Alphabet in Q3, a surprising move given Warren Buffett's reluctance toward high-growth, tech-driven stocks (Yun Li/CNBC)

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

<A HREF="https://www.reuters.com/investigations/googles-top-ai-executive-seeks-profound-over-profits-prosaic-2025-11-13/"><IMG VSPACE="4" HSPACE="4" BORDER="0" ALIGN="RIGHT" SRC="http://www.techmeme.com/251116/i2.jpg"></A>
<A HREF="http://www.techmeme.com/251116/p2#a251116p2" TITLE="Techmeme permalink"><IMG WIDTH=11 HEIGHT=12 SRC="http://www.techmeme.com/img/pml.png" STYLE="border:none;padding:0;margin:0;"></A> Jeffrey Dastin / <A HREF="http://www.reuters.com/">Reuters</A>: 
<A HREF="https://www.reuters.com/investigations/googles-top-ai-executive-seeks-profound-over-profits-prosaic-2025-11-13/">Sources: Demis Hassabis pursued a Nobel as a DeepMind goal and favored high-minded work over short-term revenue or a stronger AI race position for Alphabet</A>&nbsp; &mdash;&nbsp; Demis Hassabis has spent much of the past decade trying to unlock the secrets of the universe through artificial intelligence.

لقد قضى ديميس هاسابيس، المؤسس المشارك لشركة ديب مايند، معظم العقد الماضي في استكشاف أسرار الكون من خلال الذكاء الاصطناعي. كان تركيزه على تحقيق تقدم علمي عميق بدلاً من إعطاء الأولوية للأرباح قصيرة الأجل أو تعزيز موقف ألفابت التنافسي في قطاع الذكاء الاصطناعي.

Demis Hassabis, cofundador de DeepMind, ha dedicado gran parte de la última década a explorar los secretos del universo a través de la inteligencia artificial. Su enfoque ha sido lograr avances científicos profundos en lugar de priorizar las ganancias a corto plazo o mejorar la posición competitiva de Alphabet en el sector de la IA.

Demis Hassabis, co-fondateur de DeepMind, a consacré une grande partie de la dernière décennie à explorer les secrets de l'univers grâce à l'intelligence artificielle. Son objectif a été d'atteindre des avancées scientifiques profondes plutôt que de privilégier les profits à court terme ou d'améliorer la position concurrentielle d'Alphabet dans le secteur de l'IA.

Demis Hassabis, the co-founder of DeepMind, has dedicated much of the last decade to exploring the universe's secrets through artificial intelligence. His focus has been on achieving profound scientific advancements rather than prioritizing short-term profits or enhancing Alphabet's competitive position in the AI sector.

Sources: Demis Hassabis pursued a Nobel as a DeepMind goal and favored high-minded work over short-term revenue or a stronger AI race position for Alphabet (Jeffrey Dastin/Reuters)

<A HREF="https://www.anthropic.com/news/claude-in-microsoft-foundry"><IMG VSPACE="4" HSPACE="4" BORDER="0" ALIGN="RIGHT" SRC="http://www.techmeme.com/251118/i55.jpg"></A>
<A HREF="http://www.techmeme.com/251118/p55#a251118p55" TITLE="Techmeme permalink"><IMG WIDTH=11 HEIGHT=12 SRC="http://www.techmeme.com/img/pml.png" STYLE="border:none;padding:0;margin:0;"></A> <A HREF="https://www.anthropic.com/">Anthropic</A>: 
<A HREF="https://www.anthropic.com/news/claude-in-microsoft-foundry">Anthropic's Claude Sonnet 4.5, Haiku 4.5, and Opus 4.1 are now available in public preview in Microsoft Foundry for Azure customers</A>&nbsp; &mdash;&nbsp; Today we announced that Microsoft and Anthropic are expanding our partnership.&nbsp; As part of the partnership, Claude Sonnet 4.5, Haiku 4.5 &hellip;

Anthropic's Claude Sonnet 4.5, Haiku 4.5, and Opus 4.1 are now available in public preview in Microsoft Foundry for Azure customers (Anthropic)

<A HREF="https://www.bloomberg.com/news/articles/2025-11-18/trump-urges-congress-to-block-state-level-ai-regulation"><IMG VSPACE="4" HSPACE="4" BORDER="0" ALIGN="RIGHT" SRC="http://www.techmeme.com/251118/i54.jpg"></A>
<A HREF="http://www.techmeme.com/251118/p54#a251118p54" TITLE="Techmeme permalink"><IMG WIDTH=11 HEIGHT=12 SRC="http://www.techmeme.com/img/pml.png" STYLE="border:none;padding:0;margin:0;"></A> Kate Sullivan / <A HREF="https://www.bloomberg.com/">Bloomberg</A>: 
<A HREF="https://www.bloomberg.com/news/articles/2025-11-18/trump-urges-congress-to-block-state-level-ai-regulation">Trump says the US needs a &ldquo;Federal Standard&rdquo; governing oversight of AI instead of &ldquo;a patchwork of 50 State Regulatory Regimes&rdquo;, otherwise China will catch up</A>&nbsp; &mdash;&nbsp; President Donald Trump called on Congress to pass a federal standard governing oversight of artificial intelligence &hellip;

Trump says the US needs a "Federal Standard" governing oversight of AI instead of "a patchwork of 50 State Regulatory Regimes", otherwise China will catch up (Kate Sullivan/Bloomberg)

<A HREF="https://www.businessinsider.com/meta-soumith-chintala-mira-murati-thinking-machines-lab-pytorch-ai-2025-11"><IMG VSPACE="4" HSPACE="4" BORDER="0" ALIGN="RIGHT" SRC="http://www.techmeme.com/251118/i53.jpg"></A>
<A HREF="http://www.techmeme.com/251118/p53#a251118p53" TITLE="Techmeme permalink"><IMG WIDTH=11 HEIGHT=12 SRC="http://www.techmeme.com/img/pml.png" STYLE="border:none;padding:0;margin:0;"></A> Pranav Dixit / <A HREF="https://www.businessinsider.com/">Business Insider</A>: 
<A HREF="https://www.businessinsider.com/meta-soumith-chintala-mira-murati-thinking-machines-lab-pytorch-ai-2025-11">Soumith Chintala, who co-created the PyTorch ML framework at Meta and left the company this month, has joined Mira Murati's Thinking Machines Lab</A>&nbsp; &mdash;&nbsp; - Soumith Chintala, the creator of PyTorch, has joined Mira Murati's AI startup Thinking Machines Lab.&nbsp; &mdash; Chintala's move comes amid major restructuring inside Meta's AI ranks.

Soumith Chintala, who co-created the PyTorch ML framework at Meta and left the company this month, has joined Mira Murati's Thinking Machines Lab (Pranav Dixit/Business Insider)

Filing: Berkshire Hathaway discloses a $4.3B stake in Alphabet in Q3, a surprising move given Warren Buffett's reluctance toward high-growth, tech-driven stocks (Yun Li/CNBC)

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