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ChatGPT’s Advanced Voice Mode just came to PCs and Macs

OpenAI has introduced Advanced Voice Mode integration for PC and Mac users.
The feature allows users to have more natural, real-time conversations with ChatGPT.
Advanced Voice Mode runs on the GPT-4o model, enabling speech-based interactions without the need for text prompts.
The feature was initially released to beta testers in July and made available to premium subscribers in September.

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Siliconangle

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Dropbox to let go 20% of its workforce amid growth push

Dropbox is letting go of 528 employees, or 20% of its workforce, to advance revenue growth initiatives.
The job cuts are driven by the slowing growth in its core file sync and share (FSS) business and the need to streamline operations.
Dropbox is focusing on developing its next phase of growth with products like Dash, an artificial intelligence tool.
Impacted employees will receive severance pay, healthcare benefits, equity vesting, and bonuses.

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Dev

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How to deploy an Apache web app using Oracle Cloud

Create a VCN for the Apache web app using Oracle Cloud Infrastructure (OCI)'s virtual cloud network and VM compute instance.
Create a public VM instance and SSH into it to install Apache web server.
Allow public access to the VM web app by configuring security rules.
Validate the web app by accessing it through the VM's IP address.

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Dev

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Microservices with Spring Cloud: An Introduction

Spring Cloud is a powerful framework designed to simplify the complexities of microservices development.
It addresses challenges such as service discovery, load balancing, fault tolerance, and configuration management.
Key components of Spring Cloud include Spring Cloud Config, Spring Cloud Netflix, Spring Cloud Gateway, Spring Cloud Sleuth, Spring Cloud Stream, and Spring Cloud Kubernetes.
Spring Cloud is ideal for building microservices-based, cloud-native applications by providing tools to manage complexity effectively.

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Dev

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Kafka vs. AWS SQS: Choosing the Right Messaging Solution for Your Needs

Apache Kafka and Amazon Simple Queue Service (AWS SQS) are two popular messaging solutions in the world of distributed systems and microservices.
Kafka is a distributed event streaming platform that organizes messages into topics and is renowned for its ability to handle high throughput and low-latency data processing.
AWS SQS is a fully managed message queuing service that provides message queues for asynchronous communication between services, and is known for its simplicity and reliability.
While both Kafka and SQS serve messaging purposes, their core functionalities, and use cases differ significantly.
Kafka uses a publish-subscribe model whereas, SQS uses a point-to-point model. With its distributed architecture Kafka is suitable for large-scale applications requiring real-time data processing. On the other hand, SQS is designed for simplicity and reliability, handling a high volume of messages but with a focus on ease of use.
Kafka is suitable for use cases that require high throughput and real-time data processing, or when you need to build a data pipeline with streaming capabilities. On the other hand, AWS SQS is ideal if you prefer fully managed services with minimal setup and maintenance or your application requires simple, decoupled communication between microservices.
Kafka is suitable for use cases requiring message reprocessing whereas, AWS SQS is not supportive of message replay like Kafka.
Kafka is a self-managed solution and requires more setup and maintenance, including managing brokers. In contrast, AWS SQS is fully managed and abstracts the complexity of managing infrastructure while ensuring reliable message delivery.
Kafka’s topic partitions allow it to parallelize data processing, achieve high throughput, fault tolerance, and preserve message order within a partition, which is crucial for certain applications.
Choosing between Kafka and AWS SQS comes down to your specific use case and requirements. By understanding the strengths and limitations of each tool, you can make an informed decision that aligns with your system architecture and business goals.

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Tech Radar

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Robert Downey Jr. vows there will never be a digital AI replica of him on-screen

Actor Robert Downey Jr. declares there will never be a digital AI replica of him on-screen.
Downey trusts Marvel Studios not to hijack his character's soul even after he passes away.
He jokes about suing future executives and highlights the bill prohibiting unauthorized replication of deceased actors.
While some actors allow AI versions of their voices or faces, Downey remains skeptical of AI's impact on the creative industry.

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Digitaltrends

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AMD RDNA 4: everything we know so far about the RX 8000 series

AMD is planning to release the RDNA 4 graphics cards in early 2025. It is predicted to only release in two configurations, namely Navi 48 and Navi 44, for the mid-range sector. AMD has been clear that its focus is now on the mainstream segment. AMD is dealing with an oversupply of current-gen graphics cards — most of all, the flagship Navi 31. The Navi 48 could be a dual-chiplet GPU. AMD may not have an answer to Nvidia’s rumored RTX 5080 and RTX 5090.
Most sources estimate that the rumored RX 8800 XT should be close to RX 7900 XT in performance. AMD will target performance per dollar with its new cards.
The Navi 44 GPU might sell for under $400, while the flagship Navi 48 (RX 8800 XT?) could be priced around $500. AMD might adopt an aggressive pricing strategy this time around, beating Nvidia in terms of value.
Navi 44 and Navi 48 are reportedly built on TSMC’s N4P process. According to rumors, RDNA 4 might come with new work group processors (WGPs) and major architectural changes in ray tracing.
Improving ray tracing performance is something that a lot of leakers focus on. AMD wants to improve competition in AI workflows and ray tracing. However, it seems that AMD will not be able to beat NVIDIA in ray tracing.
The Navi 48 will be AMD’s flagship for this generation. Initial estimates show it having a 256-bit interface, with GDDR6 memory and possible 192-bit bus. Navi 44 GPU will sport a 128-bit memory bus and a smaller die.
AMD may have initially planned to use GDDR7 memory in the now-reportedly canceled high-end portion of the lineup. Early estimates said RDNA 4 might reach a 3.5GHz clock speed, now adjusted to 3GHz-3.3GHz on overclocked models.
The rest of the specs are still unknown, including the number of AI accelerators, ray tracing accelerators, and the amount of VRAM. Both AMD and Nvidia won’t release new GPUs until 2025.
If AMD can price the GPU at around $500, it would still be an excellent deal. AMD may see a price to performance increase of as much as 30%. The RX 7900 XTX should retain its lead in rasterization.
AMD is dealing with an oversupply of current-gen graphics cards, and the RX 7900 XTX and RX 7900 XT are at the lowest prices they’ve ever been. Nvidia’s RTX 50-series may not be much of a threat.

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Tech Radar

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Apple is creating its own renewable power to offset the M4 Mac mini's carbon emissions - but is it enough?

Apple's M4 Mac mini is now carbon neutral, offsetting emissions through renewable energy sources.
The initiative began in 2023 with the Apple Watch Series 9 and expanded to Mac mini.
However, the ecological impact of the semiconductor industry raises concerns about true carbon neutrality.
Reducing tech production and developing sustainable materials and practices are essential for reducing emissions.

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Dev

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Deploying Spring Boot Applications to AWS

Deploying applications to the cloud has become a standard practice for modern software development, providing scalability, reliability, and ease of maintenance.
This blog post explores how to deploy a Spring Boot application to Amazon Web Services (AWS) using Elastic Beanstalk and ECS (Elastic Container Service).
Elastic Beanstalk is an easy-to-use service for deploying and scaling web applications, while ECS is a fully managed container orchestration service for running Docker containers on a cluster.
The steps for deploying a Spring Boot application to AWS with Elastic Beanstalk include packaging the application, installing the Elastic Beanstalk CLI, initializing Elastic Beanstalk, creating an environment and deploying, and monitoring/manage the application. On the other hand, deploying with ECS involves creating a Dockerfile, pushing the Docker image to Docker Hub or Amazon ECR, creating an ECS cluster, creating a task definition, creating a service, and configuring load balancer (optional).

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Dev

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Understanding the Differences Between AWS SQS and SNS

AWS provides two messaging services that handle messages – Amazon Simple Queue Service (SQS) and Amazon Simple Notification Service (SNS).
SQS is used as a message broker, facilitating communication between different components through message queues.
SNS, on the other hand, acts as a notification service, sending messages to multiple subscribers simultaneously.
SQS is designed for decoupling components and allowing them to operate independently and asynchronously.
SNS is ideal for broadcasting event notifications to multiple subscribers and internal notifications to relevant teams or services.
SQS is perfect for decoupling microservices, task processing, and reliable, ordered message processing.
SNS is useful for monitoring, alerts, and the fan-out pattern, which sends a message to multiple destinations.
Understanding the differences between SQS and SNS is crucial for building reliable, scalable applications.
AWS SQS and SNS provide the flexibility for seamless communication between components of cloud-based applications.
By leveraging SQS and SNS, application reliability and performance can be significantly enhanced.

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Dev

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Simplifying Cloud Infrastructure with AWS CDK

AWS CDK (Cloud Development Kit) is an open-source software development framework that simplifies the provisioning of cloud resources.
With AWS CDK, developers can define cloud infrastructure using familiar programming languages instead of manually provisioning resources through the AWS Management Console.
AWS CDK abstracts the complexities of cloud infrastructure by providing high-level constructs that map to AWS resources, reducing the complexity and enabling easier management and automation.
AWS CDK supports multiple programming languages, including TypeScript, Python, JavaScript, Java, and Go, allowing developers to use their preferred language.

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Siliconangle

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Spotlight: How Dell and Nutanix are redefining enterprise computing in the hybrid cloud era

Dell Technologies and Nutanix are enhancing enterprise options through their strategic partnership, allowing customers to leverage a streamlined approach to hybrid cloud.
The collaboration between the two tech giants is redefining how enterprises manage their infrastructure.
As the IT industry increasingly shifts toward cloud-like operating models across on-premises and edge environments, the integration of Nutanix’s cloud platform with Dell’s server and storage technology, they are offering solutions that provide IT customers with greater flexibility and scalability.
The growth of AI, along with interest in edge, hybrid cloud and cloud-native deployments is leading IT practitioners to seek new ways to oversee a diverse set of infrastructure solutions.
Dell’s announcement of PowerFlex software-defined storage with Nutanix Cloud allowed organizations to scale storage and compute separately in their hyperconverged infrastructure.
The separation of compute and storage enables a data platform that can support intelligent applications in real time, an environment where compute can operate on a unified view of data elements at scale. It brings a cloud operating model to hybrid infrastructure.
Nutanix’s opportunity has crystallized in data provided to SiliconANGLE by Enterprise Technology Research. Survey results indicated a strong increase in customer adoption of Nutanix’s offerings.
With Dell’s presence in the appliance world and Nutanix’s sizable footprint in enterprise software, the collaboration between the firms underscores how market dynamics can impact business direction for even the largest companies in a major way.
Nutanix chief executive Rajiv Ramaswami met with journalists and described how AI adoption has favored the hybrid model, with latency limitations in the public cloud driving customers to adopt his firm’s hyperconverged infrastructure.
As the demand for hybrid cloud solutions surges, organizations are seeking more adaptable infrastructure that balances on-premises and cloud capabilities.

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Tech Radar

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The mysterious AI image generator that topped benchmarks is now available - here's how to try it

Recraft V3, an AI image generator developed by Recraft, has emerged as the top performer in the Artificial Analysis Image Arena.
The new image generation model 'red_panda' by Recraft V3 surpassed its competitors and secured the number 1 spot on the Text-to-Image Model Leaderboard.
Recraft V3 offers improved image generation and is capable of generating long texts within an image, setting it apart from other models.
The Recraft V3 model is available through subscription plans on Recraft's website and mobile apps.

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Insider

215

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Wall Street is bullish on Amazon earnings despite uncertainty around consumer spending, rising investment costs

Wall Street anticipates solid earnings and upside for Amazon stock despite headwinds created by slowing retail margins and rising investments in other areas of its business.
CFRA expects revenue to rise 10.5% YoY, anticipating a modest beat of its third-quarter earnings. The operating margins of Amazon are expected to continue growing into 2025, but now reinvestment in other fields may lead to slow expansion.
Bank of America predicts a mixed bag of results. The bank outlook for operating profit stands above consensus for the third quarter at $15 billion. Investors may be expecting 20% YoY growth for 3Q but BofA expects a slight deceleration in discretionary retail sales growth.
JPMorgan cited Amazon's cloud platform expansion and solid store growth as bullish drivers. The bank said that the expanding workload migration, easing optimizations, and growing AI monetization will prompt further AWS acceleration throughout this year, leading to 20% growth year-to-date.
Wedbush Securities cheered Amazon's growing cloud segment and a revenue shift toward high-margin advertising. The firm recommends sticking with the stock through near-term headwinds and rising investment costs.
Morgan Stanley expects that, even though expected discounting in a competitive holiday season and the consumer's uncertain spending could lead to short term headwinds for AMZN, corporate efficiencies and shipping cost will make lower-priced essentials profitable through 2022.

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AWS Blogs

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Simplify and enhance Amazon S3 static website hosting with AWS Amplify Hosting

AWS Amplify Hosting now integrates with Amazon S3 for simplified static website hosting.
You can deploy static websites with content stored in S3 buckets and serve them over a CDN.
AWS Amplify Hosting offers benefits like custom domain configuration, SSL, and deployment on a globally available CDN.
The integration allows easy updates by connecting S3 buckets and deployed websites.

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