#Cloud Computing Companies

[buzzybrains-software]

Exploring Cloud Computing and DevOps Companies in India

Introduction

India has emerged as a global leader in cloud computing and DevOps services. With businesses rapidly shifting to digital platforms, the demand for cloud computing companies in India has skyrocketed. From AWS development in India to full-fledged DevOps companies in India, the IT sector is evolving at an unprecedented pace.

In this article, we’ll explore the top trends in cloud computing and DevOps, their benefits, and how Indian companies are making a mark in these domains.

The Rise of Cloud Computing in India

Cloud computing is no longer an option but a necessity. Companies across industries—finance, healthcare, e-commerce, and startups—are leveraging the power of cloud technology to optimize their operations.

Why Are Cloud Computing Companies in India Thriving?

India is home to numerous IT firms that provide world-class cloud computing solutions. Several factors contribute to this growth:

Cost-Effective Solutions: Indian companies offer cloud computing services at competitive prices, making them attractive to global businesses.

Skilled Workforce: With a massive talent pool of engineers and developers, India has become a preferred destination for cloud services.

Government Initiatives: Programs like Digital India promote cloud adoption across sectors.

Global Partnerships: Indian cloud service providers collaborate with tech giants like AWS, Google Cloud, and Microsoft Azure.

AWS Development in India: Leading the Cloud Revolution

Amazon Web Services (AWS) is a dominant player in the Indian cloud computing industry. Many businesses rely on AWS development in India for their cloud infrastructure needs.

Key AWS Services Used in India

AWS Lambda – Serverless computing that enables businesses to run applications without managing servers.

Amazon EC2 – Scalable virtual servers for flexible computing power.

Amazon S3 – Secure cloud storage for businesses of all sizes.

AWS DevOps Tools – CI/CD pipelines for software development automation.

How Indian Companies Leverage AWS?

Startups: Many Indian startups use AWS to build scalable, cost-efficient applications.

Enterprises: Large corporations integrate AWS for better data management and security.

E-commerce: Companies like Flipkart and Amazon India depend on AWS for seamless operations.

Indian AWS-certified developers and solution architects help businesses maximize cloud potential, ensuring security, performance, and cost savings.

DevOps Companies in India: The Backbone of Digital Transformation

While cloud computing enhances storage and flexibility, DevOps ensures smooth software development and deployment.

What is DevOps?

DevOps is a combination of Development and Operations, promoting faster development cycles, collaboration, and automation. Indian DevOps companies specialize in optimizing workflows, reducing downtime, and enhancing product delivery.

Why Choose DevOps Companies in India?

Expertise in CI/CD Pipelines: Indian firms offer top-tier Continuous Integration and Continuous Deployment (CI/CD) solutions.

Automation & Monitoring: With tools like Jenkins, Kubernetes, and Docker, DevOps engineers ensure seamless deployments.

Security & Compliance: DevOps security, also known as DevSecOps, is a growing focus area in India.

Scalability & Agility: Indian DevOps companies help businesses scale their applications with minimal operational issues.

Top Industries Adopting DevOps in India

Finance & Banking – Secure and fast transactions with automated deployments.

Healthcare – Continuous updates and security patches for patient data safety.

Retail & E-commerce – High availability, fast deployments, and real-time analytics.

Telecommunications – Ensuring uptime and performance in high-traffic environments.

The Synergy Between Cloud Computing and DevOps

Cloud computing and DevOps go hand in hand. Cloud infrastructure provides the scalability and storage, while DevOps ensures automation and efficiency in software delivery.

Benefits of Combining Cloud & DevOps

Faster Software Delivery: Automation reduces manual intervention, speeding up deployments.

Cost Efficiency: DevOps optimizes cloud resource usage, lowering costs.

Improved Collaboration: Teams work seamlessly with integrated cloud-based DevOps tools.

Enhanced Security: Continuous monitoring and real-time alerts improve system security.

Cloud computing companies in India offer comprehensive digital solutions to global enterprises.

Conclusion: Why Indian Companies Are the Future of Cloud & DevOps

India’s cloud computing and DevOps industries are growing rapidly, fueled by innovation, skilled talent, and cutting-edge technologies. From AWS development in India to full-scale DevOps companies in India, businesses have access to world-class IT services.

For organizations looking to migrate to the cloud or optimize their software delivery, India remains a top destination. If you want expert cloud and DevOps solutions, BuzzyBrains provides end-to-end services to drive your digital transformation.

To learn more, visit BuzzyBrains and explore how they can help your business thrive in the cloud era.

[bloobluebloo]

People who call Ganondorf a potential "techbro" don't understand the fundamental difference between a "techbro" and "a technical person". A techbro would entrust their life to technology, because having tech control every aspect of your life is the "future". A technical person who really understands how software and hardware work, and especially how exploitable it is, would not allow a single thing to be automated without ensuring they understand who has control over it, and more importantly ensuring they have sufficient control over it.

[jcmarchi]

Ganesh Shankar, CEO & Co-Founder of Responsive – Interview Series

New Post has been published on https://thedigitalinsider.com/ganesh-shankar-ceo-co-founder-of-responsive-interview-series/

Ganesh Shankar, CEO & Co-Founder of Responsive – Interview Series

Ganesh Shankar, CEO and Co-Founder of Responsive, is an experienced product manager with a background in leading product development and software implementations for Fortune 500 enterprises. During his time in product management, he observed inefficiencies in the Request for Proposal (RFP) process—formal documents organizations use to solicit bids from vendors, often requiring extensive, detailed responses. Managing RFPs traditionally involves multiple stakeholders and repetitive tasks, making the process time-consuming and complex.

Founded in 2015 as RFPIO, Responsive was created to streamline RFP management through more efficient software solutions. The company introduced an automated approach to enhance collaboration, reduce manual effort, and improve efficiency. Over time, its technology expanded to support other complex information requests, including Requests for Information (RFIs), Due Diligence Questionnaires (DDQs), and security questionnaires.

Today, as Responsive, the company provides solutions for strategic response management, helping organizations accelerate growth, mitigate risk, and optimize their proposal and information request processes.

What inspired you to start Responsive, and how did you identify the gap in the market for response management software?

My co-founders and I founded Responsive in 2015 after facing our own struggles with the RFP response process at the software company we were working for at the time. Although not central to our job functions, we dedicated considerable time assisting the sales team with requests for proposals (RFPs), often feeling underappreciated despite our vital role in securing deals. Frustrated with the lack of technology to make the RFP process more efficient, we decided to build a better solution.  Fast forward nine years, and we’ve grown to nearly 500 employees, serve over 2,000 customers—including 25 Fortune 100 companies—and support nearly 400,000 users worldwide.

How did your background in product management and your previous roles influence the creation of Responsive?

As a product manager, I was constantly pulled by the Sales team into the RFP response process, spending almost a third of my time supporting sales instead of focusing on my core product management responsibilities. My two co-founders experienced a similar issue in their technology and implementation roles. We recognized this was a widespread problem with no existing technology solution, so we leveraged our almost 50 years of combined experience to create Responsive. We saw an opportunity to fundamentally transform how organizations share information, starting with managing and responding to complex proposal requests.

Responsive has evolved significantly since its founding in 2015. How do you maintain the balance between staying true to your original vision and adapting to market changes?

First, we’re meticulous about finding and nurturing talent that embodies our passion – essentially cloning our founding spirit across the organization. As we’ve scaled, it’s become critical to hire managers and team members who can authentically represent our core cultural values and commitment.

At the same time, we remain laser-focused on customer feedback. We document every piece of input, regardless of its size, recognizing that these insights create patterns that help us navigate product development, market positioning, and any uncertainty in the industry. Our approach isn’t about acting on every suggestion, but creating a comprehensive understanding of emerging trends across a variety of sources.

We also push ourselves to think beyond our immediate industry and to stay curious about adjacent spaces. Whether in healthcare, technology, or other sectors, we continually find inspiration for innovation. This outside-in perspective allows us to continually raise the bar, inspiring ideas from unexpected places and keeping our product dynamic and forward-thinking.

What metrics or success indicators are most important to you when evaluating the platform’s impact on customers?

When evaluating Responsive’s impact, our primary metric is how we drive customer revenue. We focus on two key success indicators: top-line revenue generation and operational efficiency. On the efficiency front, we aim to significantly reduce RFP response time – for many, we reduce it by 40%. This efficiency enables our customers to pursue more opportunities, ultimately accelerating their revenue generation potential.

How does Responsive leverage AI and machine learning to provide a competitive edge in the response management software market?

We leverage AI and machine learning to streamline response management in three key ways. First, our generative AI creates comprehensive proposal drafts in minutes, saving time and effort. Second, our Ask solution provides instant access to vetted organizational knowledge, enabling faster, more accurate responses. Third, our Profile Center helps InfoSec teams quickly find and manage security content.

With over $600 billion in proposals managed through the Responsive platform and four million Q&A pairs processed, our AI delivers intelligent recommendations and deep insights into response patterns. By automating complex tasks while keeping humans in control, we help organizations grow revenue, reduce risk, and respond more efficiently.

What differentiates Responsive’s platform from other solutions in the industry, particularly in terms of AI capabilities and integrations?

Since 2015, AI has been at the core of Responsive, powering a platform trusted by over 2,000 global customers. Our solution supports a wide range of RFx use cases, enabling seamless collaboration, workflow automation, content management, and project management across teams and stakeholders.

With key AI capabilities—like smart recommendations, an AI assistant, grammar checks, language translation, and built-in prompts—teams can deliver high-quality RFPs quickly and accurately.

Responsive also offers unmatched native integrations with leading apps, including CRM, cloud storage, productivity tools, and sales enablement. Our customer value programs include APMP-certified consultants, Responsive Academy courses, and a vibrant community of 1,500+ customers sharing insights and best practices.

Can you share insights into the development process behind Responsive’s core features, such as the AI recommendation engine and automated RFP responses?

Responsive AI is built on the foundation of accurate, up-to-date content, which is critical to the effectiveness of our AI recommendation engine and automated RFP responses. AI alone cannot resolve conflicting or incomplete data, so we’ve prioritized tools like hierarchical tags and robust content management to help users organize and maintain their information. By combining generative AI with this reliable data, our platform empowers teams to generate fast, high-quality responses while preserving credibility. AI serves as an assistive tool, with human oversight ensuring accuracy and authenticity, while features like the Ask product enable seamless access to trusted knowledge for tackling complex projects.

How have advancements in cloud computing and digitization influenced the way organizations approach RFPs and strategic response management?

Advancements in cloud computing have enabled greater efficiency, collaboration, and scalability. Cloud-based platforms allow teams to centralize content, streamline workflows, and collaborate in real time, regardless of location. This ensures faster turnaround times and more accurate, consistent responses.

Digitization has also enhanced how organizations manage and access their data, making it easier to leverage AI-powered tools like recommendation engines and automated responses. With these advancements, companies can focus more on strategy and personalization, responding to RFPs with greater speed and precision while driving better outcomes.

Responsive has been instrumental in helping companies like Microsoft and GEODIS streamline their RFP processes. Can you share a specific success story that highlights the impact of your platform?

Responsive has played a key role in supporting Microsoft’s sales staff by managing and curating 20,000 pieces of proposal content through its Proposal Resource Library, powered by Responsive AI. This technology enabled Microsoft’s proposal team to contribute $10.4 billion in revenue last fiscal year. Additionally, by implementing Responsive, Microsoft saved its sellers 93,000 hours—equivalent to over $17 million—that could be redirected toward fostering stronger customer relationships.

As another example of  Responsive providing measurable impact, our customer Netsmart significantly improved their response time and efficiency by implementing Responsive’s AI capabilities. They achieved a 10X faster response time, increased proposal submissions by 67%, and saw a 540% growth in user adoption. Key features such as AI Assistant, Requirements Analysis, and Auto Respond played crucial roles in these improvements. The integration with Salesforce and the establishment of a centralized Content Library further streamlined their processes, resulting in a 93% go-forward rate for RFPs and a 43% reduction in outdated content. Overall, Netsmart’s use of Responsive’s AI-driven platform led to substantial time savings, enhanced content accuracy, and increased productivity across their proposal management operations.

JAGGAER, another Responsive customer, achieved a double-digit win-rate increase and 15X ROI by using Responsive’s AI for content moderation, response creation, and Requirements Analysis, which improved decision-making and efficiency. User adoption tripled, and the platform streamlined collaboration and content management across multiple teams.

Where do you see the response management industry heading in the next five years, and how is Responsive positioned to lead in this space?

In the next five years, I see the response management industry being transformed by AI agents, with a focus on keeping humans in the loop. While we anticipate around 80 million jobs being replaced, we’ll simultaneously see 180 million new jobs created—a net positive for our industry.

Responsive is uniquely positioned to lead this transformation. We’ve processed over $600 billion in proposals and built a database of almost 4 million Q&A pairs. Our massive dataset allows us to understand complex patterns and develop AI solutions that go beyond simple automation.

Our approach is to embrace AI’s potential, finding opportunities for positive outcomes rather than fearing disruption. Companies with robust market intelligence, comprehensive data, and proven usage will emerge as leaders, and Responsive is at the forefront of that wave. The key is not just implementing AI, but doing so strategically with rich, contextual data that enables meaningful insights and efficiency.

Thank you for the great interview, readers who wish to learn more should visit Responsive,

[codingquill]

What is Cloud Computing ?

Cloud computing has become a widely discussed topic in recent years, but explaining it in simple terms to someone without a background in computer science can be challenging. Allow me to break it down for you.

Cloud computing is a method of storing and accessing data and programs over the internet, rather than keeping them on your personal computer or mobile device. To illustrate this, let's consider online email services like Gmail or Outlook. When you use these services, you can access your emails from anywhere because they are stored in the cloud. This means you don't need to install any special software or save your messages on your hard drive. Instead, your emails are stored on remote servers owned by companies like Google or Microsoft. You can access them from any device connected to the internet, regardless of your location.

Understanding Servers in the Cloud

Now, let's delve into the concept of servers in the cloud.

The data stored in the cloud is saved on physical servers, which are powerful computers capable of storing and processing vast amounts of information. These servers are typically housed in data centers, which are specialized facilities that accommodate thousands of servers and other equipment. Data centers require significant power, cooling, security, and connectivity to operate efficiently and reliably.

Microsoft and Google are two of the largest cloud providers globally, and they have data centers located in various regions and continents. Here are some examples of where their data centers are located, according to search results:

Microsoft has data centers in North America, South America, Europe, Asia, Africa, and Australia.

Google has data centers in North America, South America, Europe, and Asia.

[chiragqlanceblogs]

How Python Powers Scalable and Cost-Effective Cloud Solutions

Explore the role of Python in developing scalable and cost-effective cloud solutions. This guide covers Python's advantages in cloud computing, addresses potential challenges, and highlights real-world applications, providing insights into leveraging Python for efficient cloud development.

Introduction

In today's rapidly evolving digital landscape, businesses are increasingly leveraging cloud computing to enhance scalability, optimize costs, and drive innovation. Among the myriad of programming languages available, Python has emerged as a preferred choice for developing robust cloud solutions. Its simplicity, versatility, and extensive library support make it an ideal candidate for cloud-based applications.

In this comprehensive guide, we will delve into how Python empowers scalable and cost-effective cloud solutions, explore its advantages, address potential challenges, and highlight real-world applications.

Why Python is the Preferred Choice for Cloud Computing?

Python's popularity in cloud computing is driven by several factors, making it the preferred language for developing and managing cloud solutions. Here are some key reasons why Python stands out:

Simplicity and Readability: Python's clean and straightforward syntax allows developers to write and maintain code efficiently, reducing development time and costs.

Extensive Library Support: Python offers a rich set of libraries and frameworks like Django, Flask, and FastAPI for building cloud applications.

Seamless Integration with Cloud Services: Python is well-supported across major cloud platforms like AWS, Azure, and Google Cloud.

Automation and DevOps Friendly: Python supports infrastructure automation with tools like Ansible, Terraform, and Boto3.

Strong Community and Enterprise Adoption: Python has a massive global community that continuously improves and innovates cloud-related solutions.

How Python Enables Scalable Cloud Solutions?

Scalability is a critical factor in cloud computing, and Python provides multiple ways to achieve it:

1. Automation of Cloud Infrastructure

Python's compatibility with cloud service provider SDKs, such as AWS Boto3, Azure SDK for Python, and Google Cloud Client Library, enables developers to automate the provisioning and management of cloud resources efficiently.

2. Containerization and Orchestration

Python integrates seamlessly with Docker and Kubernetes, enabling businesses to deploy scalable containerized applications efficiently.

3. Cloud-Native Development

Frameworks like Flask, Django, and FastAPI support microservices architecture, allowing businesses to develop lightweight, scalable cloud applications.

4. Serverless Computing

Python's support for serverless platforms, including AWS Lambda, Azure Functions, and Google Cloud Functions, allows developers to build applications that automatically scale in response to demand, optimizing resource utilization and cost.

5. AI and Big Data Scalability

Python’s dominance in AI and data science makes it an ideal choice for cloud-based AI/ML services like AWS SageMaker, Google AI, and Azure Machine Learning.

Looking for expert Python developers to build scalable cloud solutions? Hire Python Developers now!

Advantages of Using Python for Cloud Computing

Cost Efficiency: Python’s compatibility with serverless computing and auto-scaling strategies minimizes cloud costs.

Faster Development: Python’s simplicity accelerates cloud application development, reducing time-to-market.

Cross-Platform Compatibility: Python runs seamlessly across different cloud platforms.

Security and Reliability: Python-based security tools help in encryption, authentication, and cloud monitoring.

Strong Community Support: Python developers worldwide contribute to continuous improvements, making it future-proof.

Challenges and Considerations

While Python offers many benefits, there are some challenges to consider:

Performance Limitations: Python is an interpreted language, which may not be as fast as compiled languages like Java or C++.

Memory Consumption: Python applications might require optimization to handle large-scale cloud workloads efficiently.

Learning Curve for Beginners: Though Python is simple, mastering cloud-specific frameworks requires time and expertise.

Python Libraries and Tools for Cloud Computing

Python’s ecosystem includes powerful libraries and tools tailored for cloud computing, such as:

Boto3: AWS SDK for Python, used for cloud automation.

Google Cloud Client Library: Helps interact with Google Cloud services.

Azure SDK for Python: Enables seamless integration with Microsoft Azure.

Apache Libcloud: Provides a unified interface for multiple cloud providers.

PyCaret: Simplifies machine learning deployment in cloud environments.

Real-World Applications of Python in Cloud Computing

1. Netflix - Scalable Streaming with Python

Netflix extensively uses Python for automation, data analysis, and managing cloud infrastructure, enabling seamless content delivery to millions of users.

2. Spotify - Cloud-Based Music Streaming

Spotify leverages Python for big data processing, recommendation algorithms, and cloud automation, ensuring high availability and scalability.

3. Reddit - Handling Massive Traffic

Reddit uses Python and AWS cloud solutions to manage heavy traffic while optimizing server costs efficiently.

Future of Python in Cloud Computing

The future of Python in cloud computing looks promising with emerging trends such as:

AI-Driven Cloud Automation: Python-powered AI and machine learning will drive intelligent cloud automation.

Edge Computing: Python will play a crucial role in processing data at the edge for IoT and real-time applications.

Hybrid and Multi-Cloud Strategies: Python’s flexibility will enable seamless integration across multiple cloud platforms.

Increased Adoption of Serverless Computing: More enterprises will adopt Python for cost-effective serverless applications.

Conclusion

Python's simplicity, versatility, and robust ecosystem make it a powerful tool for developing scalable and cost-effective cloud solutions. By leveraging Python's capabilities, businesses can enhance their cloud applications' performance, flexibility, and efficiency.

Ready to harness the power of Python for your cloud solutions? Explore our Python Development Services to discover how we can assist you in building scalable and efficient cloud applications.

FAQs

1. Why is Python used in cloud computing?

Python is widely used in cloud computing due to its simplicity, extensive libraries, and seamless integration with cloud platforms like AWS, Google Cloud, and Azure.

2. Is Python good for serverless computing?

Yes! Python works efficiently in serverless environments like AWS Lambda, Azure Functions, and Google Cloud Functions, making it an ideal choice for cost-effective, auto-scaling applications.

3. Which companies use Python for cloud solutions?

Major companies like Netflix, Spotify, Dropbox, and Reddit use Python for cloud automation, AI, and scalable infrastructure management.

4. How does Python help with cloud security?

Python offers robust security libraries like PyCryptodome and OpenSSL, enabling encryption, authentication, and cloud monitoring for secure cloud applications.

5. Can Python handle big data in the cloud?

Yes! Python supports big data processing with tools like Apache Spark, Pandas, and NumPy, making it suitable for data-driven cloud applications.

[atcuality1]

Secure and Scalable Cloud Server Management at Atcuality

For businesses seeking to enhance scalability and maintain top-tier security, Atcuality provides unparalleled cloud server management services. Our solutions cover all aspects of cloud server maintenance, including load balancing, patch management, data backups, and disaster recovery planning. Our experienced professionals work with cutting-edge tools to ensure that your servers are secure, efficient, and scalable to meet changing business needs. Whether you operate in e-commerce, finance, or technology, we tailor our services to align with your operational goals. With Atcuality as your trusted partner, you can focus on driving growth while we handle the technical complexities of cloud management.

[buzzybrains-software]

Cloud Computing and DevOps in India: Driving the Future of IT Innovation

In today’s fast-paced digital world, cloud computing companies in India, AWS development in India, and DevOps companies in India are playing a crucial role in transforming businesses and driving technological innovation. With a rapidly growing IT infrastructure and a pool of highly skilled professionals, India has become a global hub for cloud solutions and DevOps practices.

Understanding the Rise of Cloud Computing in India

What is Cloud Computing?

Cloud computing is the delivery of computing services like servers, storage, databases, networking, software, and analytics over the internet. It allows businesses to access scalable and flexible IT resources without investing heavily in physical infrastructure.

Leading Cloud Computing Companies in India

India is home to several top-notch cloud service providers that cater to both domestic and international markets. Companies like TCS, Infosys, Wipro, and BuzzyBrains are leading the way in providing Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) solutions.

With the growing demand for digital transformation, businesses are increasingly migrating to cloud platforms to improve efficiency, reduce costs, and enhance customer experiences.

The Role of AWS Development in India

Why is AWS Popular in India?

Amazon Web Services (AWS) is one of the most widely used cloud platforms globally, and its presence in India is expanding rapidly. AWS offers a wide range of services, from computing power to data storage and machine learning solutions.

Top AWS Development Companies in India

Indian IT firms have mastered the art of AWS development, helping businesses build scalable applications and manage cloud infrastructure. Companies like BuzzyBrains, Mindtree, and Cognizant specialize in AWS-based solutions, enabling businesses to harness the full potential of cloud technology.

With AWS-certified developers and architects, Indian companies are helping startups and enterprises optimize their cloud strategy, implement serverless architectures, and enhance data security.

How DevOps Companies in India are Revolutionizing Software Development

What is DevOps?

DevOps is a set of practices that combines software development (Dev) and IT operations (Ops) to automate workflows, accelerate delivery, and improve product quality. It bridges the gap between development teams and IT operations, ensuring faster releases and continuous integration.

Leading DevOps Companies in India

India is emerging as a global DevOps hub, with companies like BuzzyBrains, Zensar Technologies, and Tata Consultancy Services (TCS) leading the charge. These firms specialize in continuous integration and delivery (CI/CD), infrastructure automation, and cloud-native application development.

By adopting DevOps practices, businesses can reduce deployment times, minimize errors, and improve customer satisfaction.

The Perfect Synergy Between Cloud Computing and DevOps

Cloud computing and DevOps go hand in hand. While cloud platforms provide scalable infrastructure, DevOps practices ensure seamless collaboration and automation. Together, they enable faster product delivery and enhance business agility.

Benefits of Cloud + DevOps:

Faster software releases

Reduced operational costs

Improved scalability and flexibility

Enhanced security and compliance

Real-time performance monitoring

Why India is the Go-To Destination for Cloud and DevOps Solutions

Skilled Workforce: India boasts a large pool of certified cloud architects and DevOps engineers.

Cost-Effective Solutions: Indian companies offer high-quality services at competitive rates.

Global Client Base: Indian IT firms serve clients from the US, Europe, and Asia-Pacific regions.

Advanced Infrastructure: With growing cloud data centers and advanced technologies, India is becoming a cloud powerhouse.

Conclusion: BuzzyBrains Leading the Cloud and DevOps Revolution

As cloud computing and DevOps continue to shape the future of IT, BuzzyBrains stands out as one of the top cloud computing companies in India and a trusted AWS development company in India. With expertise in DevOps automation, BuzzyBrains helps businesses streamline operations, achieve faster delivery, and scale effortlessly on cloud platforms like AWS.

Looking to transform your business with cloud and DevOps solutions? BuzzyBrains is here to help you stay ahead in the ever-evolving world of IT.

[fishylife]

usb c save us from the wireless/bluetooth/cloud apocalypse

[a-dash-in-the-middle]

windows thinking i will transfer my photos to my 5gb now empty one drive bc i cant see the photos in the photos programme at all

you naughty fucker i will do it all trough files manually you disgusting cloud obsessed shit head

[aequitasinfotech]

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Our website: https://aequitasindia.com/

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[onecooooooolcat]

overlooked group of people who only know how to use a phone and not a computer are like 50 - 60 myb 70 year olds who wldve entered the workforce as relatively manual labourers be it in like construction the oil industry cleaners etc n stayed pretty much in that field and never had to do much interactions with computers in their professional life or personal life bc like they nvr did further studies etc. but bc they arent necessarily 'too old' to be a part of technological progress for e.g. like some persons 80+ esp sometimes bc of the age of their kids they do have smartphones n hv learnt to be just competent enough to get by with them but can't use a computer for nothing.

[jcmarchi]

OpenAI counter-sues Elon Musk for attempts to ‘take down’ AI rival

New Post has been published on https://thedigitalinsider.com/openai-counter-sues-elon-musk-for-attempts-to-take-down-ai-rival/

OpenAI counter-sues Elon Musk for attempts to ‘take down’ AI rival

OpenAI has launched a legal counteroffensive against one of its co-founders, Elon Musk, and his competing AI venture, xAI.

In court documents filed yesterday, OpenAI accuses Musk of orchestrating a “relentless” and “malicious” campaign designed to “take down OpenAI” after he left the organisation years ago.

Elon’s nonstop actions against us are just bad-faith tactics to slow down OpenAI and seize control of the leading AI innovations for his personal benefit. Today, we counter-sued to stop him.

— OpenAI Newsroom (@OpenAINewsroom) April 9, 2025

The court filing, submitted to the US District Court for the Northern District of California, alleges Musk could not tolerate OpenAI’s success after he had “abandoned and declared [it] doomed.”

OpenAI is now seeking legal remedies, including an injunction to stop Musk’s alleged “unlawful and unfair action” and compensation for damages already caused.   

Origin story of OpenAI and the departure of Elon Musk

The legal documents recount OpenAI’s origins in 2015, stemming from an idea discussed by current CEO Sam Altman and President Greg Brockman to create an AI lab focused on developing artificial general intelligence (AGI) – AI capable of outperforming humans – for the “benefit of all humanity.”

Musk was involved in the launch, serving on the initial non-profit board and pledging $1 billion in donations.   

However, the relationship fractured. OpenAI claims that between 2017 and 2018, Musk’s demands for “absolute control” of the enterprise – or its potential absorption into Tesla – were rebuffed by Altman, Brockman, and then-Chief Scientist Ilya Sutskever. The filing quotes Sutskever warning Musk against creating an “AGI dictatorship.”

Following this disagreement, OpenAI alleges Elon Musk quit in February 2018, declaring the venture would fail without him and that he would pursue AGI development at Tesla instead. Critically, OpenAI contends the pledged $1 billion “was never satisfied—not even close”.   

Restructuring, success, and Musk’s alleged ‘malicious’ campaign

Facing escalating costs for computing power and talent retention, OpenAI restructured and created a “capped-profit” entity in 2019 to attract investment while remaining controlled by the non-profit board and bound by its mission. This structure, OpenAI states, was announced publicly and Musk was offered equity in the new entity but declined and raised no objection at the time.   

OpenAI highlights its subsequent breakthroughs – including GPT-3, ChatGPT, and GPT-4 – achieved massive public adoption and critical acclaim. These successes, OpenAI emphasises, were made after the departure of Elon Musk and allegedly spurred his antagonism.

The filing details a chronology of alleged actions by Elon Musk aimed at harming OpenAI:   

Founding xAI: Musk “quietly created” his competitor, xAI, in March 2023.   

Moratorium call: Days later, Musk supported a call for a development moratorium on AI more advanced than GPT-4, a move OpenAI claims was intended “to stall OpenAI while all others, most notably Musk, caught up”.   

Records demand: Musk allegedly made a “pretextual demand” for confidential OpenAI documents, feigning concern while secretly building xAI.   

Public attacks: Using his social media platform X (formerly Twitter), Musk allegedly broadcast “press attacks” and “malicious campaigns” to his vast following, labelling OpenAI a “lie,” “evil,” and a “total scam”.   

Legal actions: Musk filed lawsuits, first in state court (later withdrawn) and then the current federal action, based on what OpenAI dismisses as meritless claims of a “Founding Agreement” breach.   

Regulatory pressure: Musk allegedly urged state Attorneys General to investigate OpenAI and force an asset auction.   

“Sham bid”: In February 2025, a Musk-led consortium made a purported $97.375 billion offer for OpenAI, Inc.’s assets. OpenAI derides this as a “sham bid” and a “stunt” lacking evidence of financing and designed purely to disrupt OpenAI’s operations, potential restructuring, fundraising, and relationships with investors and employees, particularly as OpenAI considers evolving its capped-profit arm into a Public Benefit Corporation (PBC). One investor involved allegedly admitted the bid’s aim was to gain “discovery”.   

Based on these allegations, OpenAI asserts two primary counterclaims against both Elon Musk and xAI:

Unfair competition: Alleging the “sham bid” constitutes an unfair and fraudulent business practice under California law, intended to disrupt OpenAI and gain an unfair advantage for xAI.   

Tortious interference with prospective economic advantage: Claiming the sham bid intentionally disrupted OpenAI’s existing and potential relationships with investors, employees, and customers. 

OpenAI argues Musk’s actions have forced it to divert resources and expend funds, causing harm. They claim his campaign threatens “irreparable harm” to their mission, governance, and crucial business relationships. The filing also touches upon concerns regarding xAI’s own safety record, citing reports of its AI Grok generating harmful content and misinformation.

Elon’s never been about the mission. He’s always had his own agenda. He tried to seize control of OpenAI and merge it with Tesla as a for-profit – his own emails prove it. When he didn’t get his way, he stormed off.

Elon is undoubtedly one of the greatest entrepreneurs of our…

— OpenAI Newsroom (@OpenAINewsroom) April 9, 2025

The counterclaims mark a dramatic escalation in the legal battle between the AI pioneer and its departed co-founder. While Elon Musk initially sued OpenAI alleging a betrayal of its founding non-profit, open-source principles, OpenAI now contends Musk’s actions are a self-serving attempt to undermine a competitor he couldn’t control.

With billions at stake and the future direction of AGI in the balance, this dispute is far from over.

See also: Deep Cogito open LLMs use IDA to outperform same size models

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[i-wear-the-cheese]

"oh but i'll lose my USB stick" secondary counter, how many people are actually using their files off their computer or phone? a backup shouldn't be a thing you carry round, it's a think you make once a month or so and leave in a safe place (preferably as far away from your main device as possible, like with a trusted friend) so that if your laptop is trashed or your flat burns down yours covered. It shouldn't be the thing you carry round with you to use your files, that's just your main drive! and general a backup drive should be a larger portable drive about the size of a phone not just a thumb drive. if you're working from the cloud every single day and it's not enforced by like an office job, you're wasting so much electricity uploading and downloading files! why open a file hosted in another country or state when you can easily open one hosted under your thumb?!

I am begging people to use LibreOffice and personal storage devices like hard drives or USB sticks instead of relying 100% on Google Docs. LibreOffice is free and open-source, it saves files to your own computer, and it lets you save as many different file types. You can write in it, format ebooks in it, and do everything you might possibly need to do as a writer.

"Oh, but I'll lose my USB stick--" Fine, back things up in whatever cloud you use as a form of extra protection, but you should also try your absolute damnedest to also put them on some form of storage that isn't a cloud.

I know it's not accessible to everyone, but if you at all have the ability, don't rely on shit that lives on other people's computers. Especially with everything going on with AI theft and aggressive censorship of adult media. If you don't store your files on your own personal computer that you have control over, your files aren't fully yours, and they're at the whims of whoever owns the cloud.

Learn where your files are stored and how to access them. Get into the habit of backing up your files to your own personal storage. Even if you're not up for intense tech research and you don't care about how the computer actually works, please stop letting your art live in corporate clouds.

[subjectsix]

I don't know I'm not done talking about it. It's insane that I can't just uninstall Edge or Copilot. That websites require my phone number to sign up. That people share their contacts to find their friends on social media.

I wouldn't use an adblocker if ads were just banners on the side funding a website I enjoy using and want to support. Ads pop up invasively and fill my whole screen, I misclick and get warped away to another page just for trying to read an article or get a recipe.

Every app shouldn't be like every other app. Instagram didn't need reels and a shop. TikTok doesn't need a store. Instagram doesn't need to be connected to Facebook. I don't want my apps to do everything, I want a hub for a specific thing, and I'll go to that place accordingly.

I love discord, but so much information gets lost to it. I don't want to join to view things. I want to lurk on forums. I want to be a user who can log in and join a conversation by replying to a thread, even if that conversation was two days ago. I know discord has threads, it's not the same. I don't want to have to verify my account with a phone number. I understand safety and digital concerns, but I'm concerned about information like that with leaks everywhere, even with password managers.

I shouldn't have to pay subscriptions to use services and get locked out of old versions. My old disk copy of photoshop should work. I should want to upgrade eventually because I like photoshop and supporting the business. Adobe is a whole other can of worms here.

Streaming is so splintered across everything. Shows release so fast. Things don't get physical releases. I can't stream a movie I own digitally to friends because the share-screen blocks it, even though I own two digital copies, even though I own a physical copy.

I have an iPod, and I had to install a third party OS to easily put my music on it without having to tangle with iTunes. Spotify bricked hardware I purchased because they were unwillingly to upkeep it. They don't pay their artists. iTunes isn't even iTunes anymore and Apple struggles to upkeep it.

My TV shows me ads on the home screen. My dad lost access to eBook he purchased because they were digital and got revoked by the company distributing them. Hitman 1-3 only runs online most of the time. Flash died and is staying alive because people love it and made efforts to keep it up.

I have to click "not now" and can't click "no". I don't just get emails, they want to text me to purchase things online too. My windows start search bar searches online, not just my computer. Everything is blindly called an app now. Everything wants me to upload to the cloud. These are good tools! But why am I forced to use them! Why am I not allowed to own or control them?

No more!!!!! I love my iPod with so much storage and FLAC files. I love having all my fics on my harddrive. I love having USBs and backups. I love running scripts to gut suck stuff out of my Windows computer I don't want that spies on me. I love having forums. I love sending letters. I love neocities and webpages and webrings. I will not be scanning QR codes. Please hand me a physical menu. If I didn't need a smartphone for work I'd get a "dumb" phone so fast. I want things to have buttons. I want to use a mouse. I want replaceable batteries. I want the right to repair. I grew up online and I won't forget how it was!