How the Brain Parses Language

Ev Fedorenko’s research reveals that the human brain possesses a “language network,” akin to a biological version of a large language model (LLM). This specialized system maps words to meanings and facilitates language processing, distinct from high-level thought. Her findings suggest we possess an innate, unconscious language processor supporting communication.

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Scammers are poisoning AI search results to steer you straight into their traps – here’s how

Cybercriminals are manipulating public web content to promote scam call center numbers through a technique called LLM phone number poisoning. This involves injecting fraudulent data into high-authority websites, enabling AI systems to provide users with misleading contact information. Users are advised to verify AI-generated answers and avoid sharing sensitive information.

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I tested GPT-5.2 and the AI model’s mixed results raise tough questions

OpenAI’s GPT-5.2 model was tested across various text and image-related tasks. It scored 92 out of 100 in text tests and 17 out of 20 in image generation. While it showed solid performance in many areas, including coding and literary analysis, there were notable issues, particularly with coding tasks, leading to mixed overall impressions.

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Building zero trust generative AI applications in healthcare with AWS Nitro Enclaves

Generative AI is revolutionizing healthcare by automating data analysis and improving patient outcomes. While promising, its integration faces significant privacy and security challenges due to Protected Health Information (PHI). AWS Nitro Enclaves offers secure environments for deploying medical LLMs, ensuring model integrity and data confidentiality in compliance with regulations.

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Amazon CloudWatch introduces unified data management and analytics for operations, security, and compliance

Amazon CloudWatch has enhanced its log management capabilities, allowing unified handling of operational, security, and compliance logs, while minimizing data duplication and costs. Features include automated data normalization, integration with various data sources, and enriched analytics through Apache Iceberg-compatible access, promoting comprehensive insights and streamlined data management across platforms.

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Amazon S3 Storage Lens adds performance metrics, support for billions of prefixes, and export to S3 Tables

Amazon S3 Storage Lens has introduced three new capabilities: performance metrics, support for analyzing billions of prefixes, and the ability to export metrics to S3 Tables. These features provide insights to optimize storage, improve application performance, and enable cost reduction. Users can access detailed performance metrics across various levels in their storage.

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AWS Security Hub now generally available with near real-time analytics and risk prioritization

AWS Security Hub is now generally available, offering enhanced capabilities for security teams to assess and respond to risks across AWS environments. It centralizes the analysis of signals from various AWS security services, provides near real-time insights, tracks security trends, and streamlines operations, significantly reducing manual workload for threat detection and remediation.

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New and enhanced AWS Support plans add AI capabilities to expert guidance

AWS Support is evolving to provide proactive issue prevention through new support plans that harmonize AI tools with AWS expertise. Three plans—Business Support+, Enterprise Support, and Unified Operations Support—offer personalized recommendations, faster response times, and comprehensive operational monitoring, enhancing cloud operations efficiency and innovation at varying subscription levels.

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Amazon GuardDuty adds Extended Threat Detection for Amazon EC2 and Amazon ECS

Amazon announced enhancements to GuardDuty Extended Threat Detection, adding attack sequence findings for EC2 and ECS. This update enhances visibility into multistage attacks by linking diverse security signals across AWS environments. The consolidated findings provide critical insights and remediation guidance, improving security teams’ ability to detect and respond to threats effectively.

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New serverless customization in Amazon SageMaker AI accelerates model fine-tuning

Amazon SageMaker AI now features serverless model customization for popular AI models like GPT-OSS and Llama, enabling rapid fine-tuning from months to days with an easy interface. Users can select models and techniques, manage evaluations, and deploy serverless, optimizing resource allocation automatically. Enhanced capabilities include experimenting with various customization methods and seamless deployment options.

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Introducing AWS Lambda Managed Instances: Serverless simplicity with EC2 flexibility

AWS Lambda Managed Instances allows running Lambda functions on EC2 while maintaining serverless simplicity. This feature meets the need for specialized compute and cost optimization, enabling access to more instance types and saving costs through reserved pricing. Users can configure capacity providers for tailored performance without managing infrastructure directly.

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Save up to 24% on Amazon Redshift Serverless compute costs with Reservations

Amazon Redshift Serverless Reservations enables cost-effective data warehousing by allowing users to reserve Redshift Processing Units (RPUs) with potential savings of up to 24%. The service offers flexible billing models, centralized management, and detailed recommendations for optimal RPU usage to ensure efficient resource allocation and predictability in compute costs.

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ChatGPT now offers a dedicated shopping assistant

OpenAI is enhancing ChatGPT with new shopping capabilities ahead of Black Friday, allowing users to compare products and find deals easily. The “Shopping research” feature, available to all users, employs a specialized GPT-5 variant and interacts with clarifying questions. While useful, it may still have inaccuracies regarding product details.

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