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Microsoft Probes Whether DeepSeek Stole Data From OpenAI

Microsoft is investigating whether individuals linked to DeepSeek accessed data from OpenAI in violation of terms and conditions.
Microsoft security researchers observed the individuals exfiltrating a large amount of data using the OpenAI API.
The activity suggests possible unauthorized access to bypass restrictions on data access.
OpenAI is reviewing claims and working with the US government to protect its models.

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Dev

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My Experience Setting Up NGINX on an Ubuntu Server in AWS - HNG DevOps

As part of my DevOps Stage 0 assignment, I was tasked with setting up an NGINX web server on a fresh Ubuntu server hosted on AWS.
The goal was to configure NGINX to serve a custom HTML page with a specific message and document my experience in a blog post.
The task involved several key steps, each of which reinforced my understanding of cloud infrastructure and web server configuration.
This task, though basic, aligns with my broader professional goals and contributes to my growth in several ways.
Completing this NGINX configuration task was a rewarding experience that reinforced my foundational knowledge of cloud infrastructure, Linux administration, and web server configuration.
While the task was relatively simple, it served as a reminder of the importance of mastering the basics before tackling more complex challenges.
Working with Ubuntu reinforced my familiarity with Linux commands, package management, and file system navigation. These skills are essential for any DevOps engineer.
Launching an EC2 instance and configuring security groups reminded me of the foundational principles of cloud computing, such as virtualization, networking, and security.
Setting up a web server is a fundamental DevOps task. It reinforces the importance of understanding infrastructure as code, configuration management, and deployment pipelines.
While I performed these steps manually, I recognized how tools like Ansible, Terraform, or AWS CloudFormation could automate this process, saving time and reducing human error.

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Medium

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Blog Series: Unlocking Cloud Savings: Reducing Storage Costs by Migrating to Single-Region…

Cloud storage costs can quickly add up, especially when using multi-region storage.
Migrating from multi-region to single-region storage can result in significant cost savings.
Single-region storage offers cost efficiency and is sufficient for many use cases.
Automation scripts are available to streamline the migration process.

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Digitaltrends

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Nvidia Reflex: what it is and why you should enable it

Nvidia Reflex is a suite of GPU, G-Sync display, and software technologies that help in measuring and reducing system latency.
Reflex Low Latency mode is a proprietary technology that optimizes the GPU and the game for the low-latency best performance.
Certain games also offer a Reflex+Boost setting, which increases your GPU’s clock speeds and prevents any potential bottlenecks.
Reflex can help lower rendering lag by as much as 80% and works best with first-person shooters like Apex Legends, Valorant, Call of Duty, Fortnite, and others.
The second component of Reflex is Reflex Latency Analyzer, which is a system latency measurement tool that can detect clicks coming from your mouse and measure the time it takes for the resulting pixels to change on the screen.
Nvidia Reflex can be enabled in individual games by heading to your game’s graphics settings. Some games also have a separate option called Nvidia Reflex+Boost.
There’s a long list of games that support Nvidia Reflex in some form. More games are being added all the time, so keep an eye on the full list available on Nvidia’s website.
Nvidia unveiled its new RTX 50-series graphics card lineup and Reflex 2, the next-generation upgrade to its latency-reduction technology during CES event.
Reflex 2 extends its reach to more gaming monitors and peripherals, with increased compatibility for Reflex Latency Analyzer.
Nvidia will introduce Reflex 2 on The Finals and Valorant, initially launching on RTX 50-series GPUs.

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Siliconangle

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ServiceNow stumbles with revenue miss and tepid guidance for the year ahead

ServiceNow reported mixed Q4 results with earnings of $3.67 per share, which barely beat the estimate of $3.65 per share but missed on revenue, coming in at $2.957bn compared to an expected $2.963bn.
The company's Q4 subscription revenue was $2.866bn, up 21%, but below the $2.879bn forecast.
Despite missed estimates, the company shared highlights included strong revenue growth and growing interest in its flagship AI product, Now Assist.
The company is also forecasting slower-than-expected growth in the year 2021.
Foreign-exchange perspectives and the strengthening of the US dollar are impacting the subscription revenue forecast for 2021.
Shares in the company slipped in after-hours trading by more than 8%, which follows a decline of 2% during regular trading hours.
ServiceNow's share price is still up by more than 50% in the last year.
However, the company will need to work hard to convince some investors as to whether its investments in AI technology will deliver results.
In particular, investors may look for a justification of ServiceNow's investment in AI in the context of recent developments in DeepSeek, a Chinese AI startup that has developed powerful models, which could reduce costs.
ServiceNow CFO Gina Mastantuono suggested AI was the key to driving worker productivity.

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Tech Radar

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Quordle today – my hints and answers for Thursday, January 30 (game #1102)

Quordle today is game #1102 and offers a genuine challenge.
Hint #1: Quordle today has 4 different vowels.
Hint #2: One of today's Quordle answers contains a repeated letter.
Hint #3: Today's Quordle answers do not contain the letters Q, Z, X, or J.

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Tech Radar

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NYT Strands today — my hints, answers and spangram for Thursday, January 30 (game #333)

Today's NYT Strands theme is Stopping by woods on a snowy evening
Clue words: LOVE, STORE, LOSE, DELVE, SAME, LOST
Spangram hint: Words from a classic verse
Spangram position: First side - left, 5th row, Last side - right, 5th row

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Tech Radar

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Gemini AI can see and talk to you about what's on your screen – which could be more helpful than it sounds

Google Gemini AI assistant on Pixel 9 can discuss real-time screen content with users.
Gemini Live can chat about images, files, and YouTube videos as users see them.
Gemini Live gains context without users having to explain the content.
Google plans to expand this feature to other Android devices soon.

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Dev

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Django’s Game of Life Meets AWS ECS – The Ultimate Deployment Hack!

The Game of Life, created by mathematician John Conway in 1970, is a fascinating example of cellular automation where simple rules create complex patterns.
Our project takes this classic simulation and implements it as a web application using Django.
By deploying it on Amazon Elastic Container Service (ECS), we're making this mathematical marvel accessible through the cloud, demonstrating how modern container orchestration can bring traditional concepts to life in a scalable, reliable way.
To accomplish this, we setup AWS infrastructure including ECR repository, IAM roles and permissions, and ECS cluster creation.
We built and pushed the project Docker image to ECS, dynamically updated the task definition file, and registered the task definition, which creates the ECS task.
After deploying the game service, we input the service details and load balancing, which made the service ready for access.
Overall, deploying the Game of Life on AWS ECS shows how classic applications can be modernized using cloud infrastructure.
With AWS's managed container orchestration, the application is reliable and can scale as needed.
This project combines Django's web framework capabilities with AWS's infrastructure, providing a stable platform for users to explore Conway's masterpiece.
The deployment demonstrates a perfect blend of classical computing concepts with modern cloud architecture.

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Siliconangle

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Microsoft’s AI revenue grows, but its stock falls on lower guidance and concerns over spending

Microsoft has posted Q2 2025 earnings of $69.63bn, beating analyst expectations.
Its overall cloud computing business fell just short of analyst estimates and the Q1 2025 guidance was also low.
Microsoft's capital expenditures for the quarter reached a record high of $22.6bn due to increased demand for its AI and cloud offerings.
Revenue from Azure and other cloud services was up 31% YoY, with 13% of that attributed to AI services.
While Azure's overall growth rate was lower than analysts had expected, the company's AI products and services have now hit an annual run rate of $13bn.
DeepSeek, a Chinese AI start-up, has triggered scrutiny about the millions of dollars spent by companies like Microsoft on AI infrastructure.
Microsoft has committed to spending $80bn on AI infrastructure this year, and CEO, Satya Nadella, said DeepSeek's R1 model will be available through its Azure AI Platform.
Nadella said his team has also demonstrated significant efficiency gains in both training and inference for years.
Microsoft's stock fell by more than 4% in extended trading after the Q2 earnings report was released.
Prior to the report, Microsoft's stock was up by 5% for the year to date.

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Digitaltrends

279

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The Alienware m16 R2 gaming laptop with RTX 4060 is $300 off right now

The Alienware m16 R2 gaming laptop with Nvidia GeForce RTX 4060 graphics card is currently on sale for $1,300, a $300 discount from its original price of $1,600.
The Alienware m16 R2 is a highly recommended gaming laptop from Alienware, known for its reliable performance and quality.
Featuring an Intel Core Ultra 7 155H processor, 16GB of RAM, and a 1TB SSD, this laptop offers fast and smooth gameplay for PC gamers.
With a 16-inch QHD+ display with a 240Hz refresh rate and Nvidia G-Sync support, users can enjoy immersive graphics without screen tearing or stuttering.

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Digitaltrends

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Stargate Project: everything you need to know about OpenAI’s $500 billion gamble

Stargate Project is a new company led by OpenAI that aims to invest $500 billion over the next four years to build AI infrastructure in the US.
The company will build data centers and power production plants across the US in order to secure American leadership in AI and create hundreds of thousands of American jobs.
It is financially backed by SoftBank, OpenAI, Oracle and UAE-based firm MGX. Arm, Microsoft, Nvidia and OpenAI will serve as technology partners to the project.
Stargate Project already broke ground on its first data center in Abilene, Texas, which is expected to cost $1.1 billion and to be completed by the end of 2025.
Each data center should employ just under 60 people, but the company estimates it will create 100,000 jobs in total over the next four years.
The project has been controversial, receiving criticism from Tesla CEO Elon Musk, who called it 'a sham', and former OpenAI CEO Sam Altman.
The American AI industry is currently facing a crisis after the release of DeepSeek's AI models that offer performance similar to OpenAI's models, but at a fraction of the cost.
If DeepSeek's models prove legitimate, Stargate might have little reason to continue investing in infrastructure.
Amidst controversies, OpenAI continues to release AI models, and has now opened up developer access to full o1 reasoning model.
OpenAI's next-generation o3 reasoning model has also been teased by the company.

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Dev

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Project Translate : Architecture

Project Translate is a REST API service that provides translation capabilities for text and files.
The architecture of Project Translate involves API Gateway, Lambda functions, S3 buckets, and DynamoDB.
API Gateway serves as the entry point for requests, while Lambda functions handle translation using AWS Translate.
The request flow includes client sending a translation request, API Gateway routing it to the appropriate Lambda function, and storing results in DynamoDB or S3 buckets.

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Dev

200

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AWS-Powered Dynamic LLM Routing: Reducing Costs, Maintaining Quality

Dynamic model routing reduces LLM costs while maintaining high-quality responses across different use cases.
The landscape of LLMs has expanded into a diverse ecosystem of models, each with its own strengths and cost structures.
The first step is analyzing the complexity of incoming queries, followed by using AWS Step Functions State Machine and AWS Lambda Functions.
DynamoDB Table stores execution results and metadata, and KMS encrypts keys for sensitive data.
Our dynamic AI model routing approach needs to carefully analyze whether the overhead of complexity analysis justifies the potential cost savings.
Dynamic model routing is most beneficial in scenarios with large token count differences.
Skip complexity analysis if the system has low request volume, uniform input complexity, and similar model pricing.
Our solution meticulously tracks and calculates the cost of every single AI interaction while storing comprehensive cost information in DynamoDB.
The entire solution is implemented as a modular Terraform project, making it easy to deploy and customize.
By expanding this architectural pattern, you can create an intelligent, cost-effective AI routing system that adapts to different use cases.

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Nytimes

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Microsoft Continues A.I. Spending Growth as Profit Grows 10%

Microsoft's spending on artificial intelligence and data centers continues to grow.
In the latest quarter, Microsoft spent $22.6 billion on capital expenses, almost twice as much as the previous year.
The tech giant reported a 12% increase in revenue, reaching $69.6 billion, and a 10% increase in profit, reaching $24.1 billion.
Satya Nadella, Microsoft's CEO, stated that the company is expanding its opportunities and winning new customers.

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