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Everyone wants the viral AI doll – but it’s a privacy nightmare waiting to happen

The trend of creating AI dolls using ChatGPT and similar tools has raised concerns about privacy risks as users willingly share their faces and personal information.
By uploading photos to AI generators, users give providers legal ways to use their data, bypassing privacy protections like GDPR.
The Ghibli trend led to a surge in personal images uploaded to AI systems, expanding databases for AI companies like OpenAI and Grok.
Creating personalized action dolls requires users to share additional personal information, potentially compromising their data security and control.
Sharing personal information opens up possibilities for AI tools to influence various aspects of users' lives, leading to privacy risks and targeted attacks.
There are concerns about data breaches and malicious use of shared information, such as identity theft, fraud, and political propaganda.
The AI doll trend highlights the lack of consideration for privacy and security implications among users, despite increasing use of encrypted messaging apps and VPNs.
AI companies leverage viral trends to collect more user data, raising concerns about the concentration of power and data in the hands of a few entities.
The growing influence of generative AI poses a significant threat to privacy, and there is a call for change to address these concerns before it's too late.
The accumulation of power and data by AI companies necessitates proactive steps to safeguard privacy and prevent potential misuse of personal information.

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Medium

257

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Restricting AWS Console and CLI Access to Company-Approved Devices

AWS Identity and Access Management (IAM) does not natively support MAC address-based restrictions for authentication.
Organizations can enforce access controls using IP whitelisting, identity provider integrations, and endpoint security solutions.
Options to restrict AWS Console and CLI access to company-approved devices include IP whitelisting, Conditional Access policies with Microsoft Entra, device certificates, and endpoint security tools.
By implementing these measures, companies can ensure that only authorized users on company-provided devices can access AWS resources and enhance their cloud security posture.

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Medium

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FROM SCHOLAR TO BUILDER: MY AWS AI/ML JOURNEY AS A FIRST-YEAR STUDENT

As a first-year student, participating in a scholarship program introduced them to AI and ML workflows within the AWS ecosystem, changing their perspective on large scalable solutions.
The course they took through Udacity sponsored by AWS focused on AI programming with Python and included creating two projects to apply knowledge to real-world applications.
After completing the foundation course, they qualified for the Advanced Cohort: Machine Learning Fundamentals Nanodegree, where they used AWS services like Amazon SageMaker Studio and Amazon S3.
Working on cloud technologies like AWS opened up a new world of scalable AI and ML implementations, providing hands-on experience with real-time applications and a variety of development tools.
They embarked on projects like predicting bike sharing demand with AutoGluon using AWS SageMaker to gain insights and deep dive into SageMaker Studio.
Setting up SageMaker Studio involved creating users in the domain to manage notebooks and experiments, with tools like JupyterLab environment hosted on AWS infrastructure.
They worked on a capstone project for a logistics company using AWS cloud services, focusing on building an image classification model to optimize delivery efficiency.
Utilizing Step Functions and Lambda functions, they automated the pipeline for image classification, achieving 94% accuracy with checks for prediction reliability.
While exploring AutoML with Amazon SageMaker Canvas for a flower image classification model, they marveled at the no-code tool's intuitiveness for ML beginners.
The exposure to AWS services like S3, SageMaker Studio, AutoML, Lambda, Step Functions, and IAM Roles provided real-world experience in building and managing cloud-based AI systems.
Transitioning from a learner to a builder in their AI and ML journey, they emphasized the importance of curiosity, community support, and continuous experimentation.

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Dev

219

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Generative AI on AWS: Fine-Tuning LLMs with SageMaker JumpStart

Generative AI has become a game-changer in recent years, with models like GPT, BERT, and T5 powering various tools.
AWS SageMaker JumpStart simplifies the process of building and fine-tuning these models for specific use cases.
By utilizing pre-trained models, customizing training settings, and deploying with one click, users can adapt LLMs to their domain.
A real-world example includes a retail brand using SageMaker JumpStart to personalize product recommendations for customers based on previous chats.

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12 Likes

Medium

151

Azure Training in Bangalore: Azure AD Identity Explained

Azure AD is Microsoft’s cloud-based identity provider used for user identities, group identities, service principles, and managed identities.
Azure AD works with Role-Based Access Control (RBAC) to manage access and provides key security features.
Eduleem offers expert-led Azure Training in Bangalore, providing hands-on training aligned with AZ-104 certification, industry-driven curriculum, experienced mentors, and internship/job placement assistance.
Mastering Azure Directory Identities is essential for secure access in Microsoft's cloud ecosystem and for those targeting the AZ-104 exam.

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Silicon

196

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OpenAI Releases GPT-4.1 With Improved Coding

OpenAI has released its GPT-4.1 model, improving upon its previous version GPT-4o.
The model can process up to one million tokens of context, increasing the limit compared to GPT-4o.
GPT-4.1 consumes 26% less computing power and has better coding abilities than GPT-4o.
OpenAI plans to introduce GPT-5 later this year, combining GPT-series and reasoning models for improved performance.

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Guardian

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Nvidia says it will build up to $500bn of US AI infrastructure as chip tariff looms

Nvidia plans to build up to $500bn of AI infrastructure in the US over the next four years.
This move comes as Donald Trump threatens to impose tariffs on semiconductors made by Nvidia.
Nvidia will work with manufacturing partners to design and build factories for producing supercomputers within the US.
The stock market uncertainty due to tariffs has affected Nvidia's market value, despite high demand for its AI chips.

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4 Likes

Medium

212

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5 Easy Steps to Change your Cursor Colour

To change your cursor color on a Windows device, follow these 5 easy steps.
Navigate to your Settings on your Windows PC or laptop.
Scroll down to the 'Related settings' section and click on it.
Select the 'Mouse pointer and touch' option to make customizations.
Choose the fourth option to have a colored cursor.

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Medium

134

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Best PaaS Cloud Computing Services Providers for Your Business in 2025

iClimb Systems India Private Limited ranks as one of the best PaaS cloud computing service providers in 2025, enabling businesses to innovate quickly.
Microsoft Azure's App Service remains the top choice for enterprises with its feature-rich platform that supports multiple programming languages and offers scalability and security.
AWS Elastic Beanstalk simplifies deploying web applications and automates infrastructure management, load balancing, scaling, and monitoring.
Other notable PaaS providers include Google Cloud Platform's App Engine, IBM Cloud Foundry, Oracle Cloud Infrastructure's PaaS, Red Hat OpenShift, and Heroku, each offering unique features and benefits.

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Medium

310

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Set Your Trajectory Higher: Digital Transformation Trends for 2025

Digital transformation trends for 2025 focus on strategic vision, outcome-based solutions, and technological advancements to drive business growth and operational efficiencies.
Agentic AI systems, offering real-time insights, operational efficiency, cost optimization, scalability, and risk mitigation, emerge as a top trend for 2025.
Integrating agentic AI systems can pose challenges such as legacy system compatibility, high complexity, and the need for advanced algorithms and data preparation.
AI governance platforms are essential for ensuring ethical AI use, regulatory compliance, risk mitigation, and fostering responsible AI innovation.
Disinformation security plays a critical role in combating false information spread, protecting brand integrity, mitigating financial risks, enhancing trust, and boosting cyber resilience.
Composable Business Architecture allows businesses to be agile, innovate faster, reduce costs, scale operations, and minimize risks by designing modular, interchangeable components.
Sustainable technology solutions in 2025 focus on minimizing environmental impact, optimizing energy usage, and aligning with global sustainability goals.
Industry Cloud Platforms provide tailored tools and workflows, enhance operational efficiency, scalability, flexibility, customer-centric innovation, and support sustainability goals.
Data ethics and privacy are paramount, requiring companies to prioritize ethical data practices, ensure regulatory compliance, build customer trust, and drive competitive advantage.
Icreon offers tailored solutions to address challenges in AI integration, governance platforms, disinformation security, composable architectures, sustainable technology, industry cloud platforms, and data ethics.

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18 Likes

Medium

261

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How VERSAtile Reads Prepares You for FinOps Certified Practitioner

The FinOps Certified Practitioner certification is designed to enhance expertise in Cloud Financial Management, focusing on managing cloud costs, optimizing spending, and aligning financial strategies with business objectives.
VERSAtile Reads offers exam cram notes and practice dumps to help candidates efficiently prepare for the FinOps Certified Practitioner exam and gain confidence to pass.
FinOps aims to optimize an organization's cloud financial management by bringing together finance, engineering, and operations teams to improve cost efficiency and financial transparency in cloud usage.
The FinOps Certified Practitioner exam validates a professional's understanding of key practices in cloud financial management and is suitable for individuals managing and optimizing cloud financial resources within an organization.
Preparing for the FinOps Certified Practitioner exam with VERSAtile Reads provides access to comprehensive exam cram notes and practice dumps that simplify key concepts and simulate real exam questions.
The exam covers various topics including FinOps principles, cloud cost allocation, provider pricing models, budgeting, governance, and best practices in cloud financial management.
Earning the FinOps Certified Practitioner certification enhances career opportunities, helps drive organizational success, and equips professionals with practical skills for implementing FinOps principles efficiently.
VERSAtile Reads' Exam Cram Notes (ECN) cover essential topics for the exam, providing clear explanations, practical insights, and application strategies in cloud financial management.
Practice Question Sets (PQS) offered by VERSAtile Reads simulate the exam structure and difficulty level, aiding candidates in assessing readiness, improving time management, and enhancing exam-taking strategies.
VERSAtile Reads' time-saving approach, real exam experience with practice dumps, high success rate, and updated content make it a valuable resource for candidates preparing for the FinOps Certified Practitioner exam.

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15 Likes

Medium

273

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How Safe is Your Google Drive or Dropbox?

When using Google Drive or Dropbox, metadata can disclose patterns regarding your activity, even if your files are encrypted.
Insider threats pose a risk as employees or hackers with access to cloud storage firms may be able to access your files.
User misconfigurations can lead to accidental exposure of files to the public, compromising sensitive data.
Although Google Drive and Dropbox encrypt files, they hold the encryption keys, which can raise concerns for those working with extremely sensitive information.

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Medium

“The 5 DevOps Mistakes No One Warned You About”

In the rush to ship features, DevOps often becomes an afterthought, leading to scalability issues and fragile deploys.
Set up CI/CD with GitHub Actions or GitLab CI to automate testing, linting, and deployment.
Utilize managed services and treat infrastructure as code to reduce costs, improve scalability, and minimize human error.
Install basic observability tools like CloudWatch and Loki for better troubleshooting during outages.

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2 Likes

Medium

192

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Must-Have DevOps Tools for 2025

Cursor is a powerful AI-powered IDE that eliminates the need to switch between editor and AI tools, making coding more seamless and efficient.
CI/CD tools like GitHub Actions, Argo Workflows, and GitLab CI/CD continue to be popular choices for running tasks in sequence.
Containers are a key component of DevOps, and tools like Docker and Kubernetes remain essential for managing containerized applications.
Observability tools like Prometheus and Grafana are crucial for monitoring and ensuring the performance and reliability of systems and applications.

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Digitaltrends

163

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Start drawing today: get your Simply Draw 7-day free trial

Simply Draw is a guided drawing app from the makers of Simply Piano and Simply Guitar.
It offers step-by-step lessons to help beginners learn the fundamentals of drawing in a fun and approachable way.
With the 7-day free trial, users can try out the app's features before committing.
Within the trial period, users can complete the introductory drawing course, learn to sketch basic shapes and lines, and build confidence in their creative ability.

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For uninterrupted reading, download the app

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