Amazon Prime Video now shows ads in between TV shows and movies: Here’s how to remove them

Amazon Prime Video Introduces Ads: How to Navigate the Change and Remove Them As of July 2025, Amazon Prime Video has implemented a significant shift in its viewing experience by introducing advertisements that interrupt TV shows and movies. This change has stirred mixed reactions among subscribers, particularly those accustomed to an ad-free experience. The decision aligns with a broader trend in streaming services aiming to balance profitability with subscriber satisfaction amid increasing competition.

The Shift to Ad-Supported Streaming In recent years, the streaming industry has seen a surge in ad-supported models, with platforms like Hulu and Peacock successfully integrating advertisements into their offerings. Amazon’s introduction of ads on Prime Video reflects a strategic move to diversify revenue streams, especially as content production costs continue to escalate. According to industry analysts, this could be a response to the heightened competition from rivals like Netflix, which has also launched an ad-supported tier.

What the Changes Mean for Subscribers The new ad-supported model means that Prime Video users will encounter advertisements during their viewing sessions. These ads are shown at various intervals, disrupting the flow of shows and movies. While the precise number of ads can vary based on the content and duration, many viewers have expressed frustration over the interruption of their entertainment experience. Amazon has assured users that the ads will be kept to a minimum, but the reality of their presence has led to dissatisfaction among long-time subscribers who have enjoyed an ad-free environment. This change raises questions about the overall value of the Prime membership, which includes access to a vast library of movies, TV shows, music, and other services.

How to Remove Ads from Amazon Prime Video For those who wish to maintain an uninterrupted viewing experience, there are options available to remove ads from Amazon Prime Video. Here’s a detailed guide on how to do so:

# 1. **Upgrade to Amazon Prime Video’s Ad-Free Plan** Amazon has introduced a premium tier for its Prime Video service that allows users to watch content without any interruptions from ads. This option typically comes at an additional monthly cost. To upgrade: - Open the Amazon Prime Video app or visit the website. - Go to the 'Account & Settings' section. - Select 'Your Prime Membership' and look for the option to upgrade to the ad-free plan. - Follow the prompts to complete your upgrade.

# 2. **Subscribe to Amazon Prime Channels** Another way to avoid ads is by subscribing to specific channels within Amazon Prime Video that offer ad-free content. For example, channels like HBO Max or Showtime may provide exclusive access to their libraries without ads, depending on the subscription tier. To subscribe to a channel: - Navigate to the 'Channels' section on the Prime Video homepage. - Browse available channels and select one that offers ad-free content. - Follow the prompts to subscribe.

# 3. **Utilize Third-Party Ad Blockers** While not officially endorsed by Amazon, some users have reported success using third-party ad blockers to reduce or eliminate ads on streaming platforms. However, this method may violate the terms of service of the platform and could potentially lead to account suspension. If you choose to go this route, proceed with caution and understand the risks involved.

# 4. **Provide Feedback to Amazon** Subscribers dissatisfied with the introduction of ads can voice their concerns directly to Amazon. The company often takes customer feedback into account when making adjustments to their services. To submit feedback: - Visit the Amazon Customer Service page. - Select 'Contact Us' and provide your feedback regarding the ad experience on Prime Video.

The Future of Streaming Advertising As the streaming landscape continues to evolve, the introduction of ads on platforms like Amazon Prime Video raises questions about the future of content consumption. Many experts believe that consumers will have to adapt to a hybrid model of subscription-based services that include varying degrees of advertising. Streaming platforms may need to find a balance that satisfies both advertisers and viewers. This could involve more targeted advertising, where ads are tailored to individual viewer preferences based on their viewing history and data analytics.

Conclusion The introduction of ads on Amazon Prime Video marks a significant change in the streaming experience for subscribers. While it aims to create a sustainable business model amid rising content costs, it has also sparked a conversation about the value of ad-free viewing. For those looking to remove ads, several options are available, including upgrading to an ad-free plan or subscribing to specific channels. As the industry continues to evolve, viewers will need to stay informed about their options and make choices that best suit their viewing preferences. Whether through upgrades, channel subscriptions, or providing feedback, the power remains in the hands of the consumer to shape the future of their entertainment experience.

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Opera Introduces Agentic AI in Browser — A Smart Leap Forward in Web Surfing

Opera Introduces Agentic AI in Browser — A Smart Leap Forward in Web Surfing *Date: June 23, 2025* In a groundbreaking move that could redefine the way users interact with the internet, Opera has unveiled its latest innovation: an agentic AI browser known as Horizon AI. This new browser is not just another iteration of web browsing technology; it represents a significant leap forward into a world where artificial intelligence can perform tasks autonomously, enhancing user experience and productivity.

The Rise of Agentic AI The concept of agentic AI refers to systems that can act independently on behalf of users, making decisions and performing tasks without constant human oversight. This technology has gained traction across various sectors, from autonomous vehicles to smart home devices. With Horizon AI, Opera aims to bring this capability to everyday web surfing, allowing users to delegate routine online tasks to their browser.

Key Features of Horizon AI Horizon AI is equipped with several innovative features designed to enhance functionality and interactivity. The browser introduces three primary buttons: Chat, Do, and Make, each serving a distinct purpose. 1. **Chat**: This feature allows users to engage in natural language conversations with the AI. Users can ask questions, seek recommendations, or request information on a wide range of topics. The AI's ability to understand context and nuance means that interactions feel more like a conversation with a knowledgeable friend than a simple query-response exchange. 2. **Do**: The 'Do' button embodies the essence of agentic functionality. Users can command Horizon AI to perform various tasks, such as booking travel tickets, managing online purchases, or even scheduling meetings. The AI’s ability to navigate websites and complete transactions autonomously signifies a major step towards a more efficient online experience. 3. **Make**: This feature focuses on creativity and productivity. Horizon AI can assist users in coding, developing games, or creating content while they focus on other tasks. For instance, a user could set the AI to write code for a simple application or design a game while they sleep, effectively turning the browser into an intelligent collaborator.

User Experience and Design Opera has emphasized user-centric design in Horizon AI. The interface is clean and intuitive, making it accessible to users of all skill levels. The integration of AI is seamless, with the new features easily navigable through the main interface. This thoughtful design approach ensures that users can leverage the power of AI without feeling overwhelmed by complex functionalities. In addition, Opera has made significant advancements in ensuring privacy and security. With increasing concerns about data protection, the company has implemented robust measures to safeguard user information. Horizon AI is designed to operate within a secure environment, ensuring that personal data remains confidential even when the AI is performing tasks on behalf of the user.

Potential Applications The implications of Horizon AI extend far beyond mere convenience. Businesses could benefit significantly from the browser’s capabilities, particularly in terms of automating repetitive tasks. For example, customer service departments could use Horizon AI to handle inquiries, freeing human agents to tackle more complex issues. Similarly, developers might find the coding assistant invaluable, streamlining the software development process. In the education sector, Horizon AI could serve as a powerful tool for students. The browser can assist with research, provide instant feedback on assignments, and even help with studying by summarizing content or generating practice questions. This could foster a more interactive learning environment, making education more engaging and accessible.

Challenges and Considerations Despite the promising features of Horizon AI, there are challenges that Opera must address. One significant concern is the potential for over-reliance on AI. Users may become accustomed to delegating tasks to the browser, leading to a decline in critical thinking and problem-solving skills. It is crucial for Opera to promote a balanced approach, encouraging users to utilize the AI as a tool rather than a crutch. Moreover, the ethical implications of agentic AI cannot be overlooked. As these technologies become more integrated into daily life, questions around accountability and transparency arise. Users must understand how the AI makes decisions and what data it utilizes. Opera has committed to providing clear guidelines and insights into the AI’s processes, fostering trust among its user base.

Future Developments Looking ahead, Opera has ambitious plans for Horizon AI. The company aims to enhance the browser's capabilities continually, integrating more advanced machine learning algorithms to improve decision-making and personalization. Future updates may include deeper integration with other applications, allowing users to manage their digital lives more holistically. Additionally, Opera is exploring partnerships with developers to create extensions and plugins that will further enrich the Horizon AI experience. By fostering a collaborative ecosystem, the company hopes to tap into the creativity of the developer community, resulting in innovative applications that leverage the browser’s AI capabilities.

Conclusion Opera's introduction of Horizon AI marks a transformative moment in web browsing. By harnessing the power of agentic AI, the company has created a browser that not only enhances user experience but also empowers individuals to be more productive in their online endeavors. As technology continues to evolve, Horizon AI stands at the forefront, ready to redefine how we interact with the digital world. With its focus on user-friendly design, robust security, and continuous improvement, Horizon AI is poised to become a staple in the toolkit of modern internet users. As we embrace this new era of intelligent browsing, the possibilities seem limitless, paving the way for a smarter, more efficient future in web surfing.

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Bots Are Taking Over the Web—Here’s Why That’s a Major Issue for Users

Bots Are Taking Over the Web—Here’s Why That’s a Major Issue for Users In recent years, the internet has witnessed an unprecedented rise in the use of bots. From chatbots on customer service platforms to sophisticated AI systems that can generate content and automate processes, the presence of bots is becoming ubiquitous. While these technologies offer numerous benefits, their rapid proliferation raises significant concerns for users across the globe. This article delves into the implications of this trend, examining the challenges and potential risks associated with the increasing dominance of bots on the web.

# The Rise of Bots The term "bot" refers to any software application that performs automated tasks over the internet. Bots can range from simple scripts that automate repetitive tasks to complex AI-driven systems capable of learning and adapting. Their capabilities have expanded dramatically due to advancements in artificial intelligence and machine learning, enabling them to mimic human behavior more closely than ever before. According to industry reports, the global bot market is projected to grow significantly in the coming years, driven by increasing demand for automation in various sectors, including e-commerce, healthcare, and finance. Businesses are leveraging bots to enhance customer engagement, reduce operational costs, and streamline processes. However, this surge in bot usage has not come without its complications.

# Key Issues Facing Users 1. Privacy Concerns One of the most pressing issues related to the rise of bots is privacy. Many bots collect vast amounts of data from users, often without their explicit consent. This data can include personal information, browsing habits, and even sensitive financial details. With data breaches becoming increasingly common, users are left vulnerable to identity theft and other malicious activities. Furthermore, the lack of transparency regarding how data is collected, stored, and used exacerbates these concerns. 2. **Misinformation and Manipulation** Bots are also being utilized to spread misinformation and manipulate public opinion. Social media platforms have become battlegrounds for competing narratives, with bots amplifying certain messages while suppressing others. This manipulation can distort public discourse, affect elections, and undermine trust in media sources. The ability of bots to generate convincing fake news articles and social media posts further complicates efforts to discern fact from fiction. 3. **Impact on Employment** The automation of tasks traditionally performed by humans raises questions about the future of employment. As businesses increasingly turn to bots to handle customer interactions and data processing, many jobs may become obsolete. While proponents argue that automation can lead to increased efficiency and new job creation, the transition could be painful for those whose roles are replaced by bots. Moreover, the skills gap in the workforce could widen, leaving many individuals unprepared for the jobs of the future. 4. **User Experience Challenges** While bots can enhance user experience by providing instant responses and assistance, they can also lead to frustration. Many users have encountered poorly designed chatbots that fail to understand context or provide relevant answers. When users seek help, they often prefer interacting with a human, especially in complex situations. A reliance on bots can result in diminished customer satisfaction and increased dissatisfaction among users who feel ignored or misunderstood. 5. **Security Risks** Bots can pose significant security risks as well. Cybercriminals often employ bots to launch attacks, such as Distributed Denial of Service (DDoS) attacks, which overwhelm websites and disrupt services. Additionally, bots can be used to scrape data from websites, leading to intellectual property theft and competitive disadvantages for businesses. As the sophistication of bots increases, so too does the potential for cyber threats, making it imperative for organizations to implement robust security measures.

# Regulatory Challenges The rapid expansion of bots has outpaced regulatory frameworks designed to protect users. Existing laws often struggle to keep up with the pace of technological innovation, leaving gaps that can be exploited. For instance, regulations surrounding data privacy, such as the General Data Protection Regulation (GDPR) in Europe, may not fully address the complexities introduced by bots. Policymakers face the challenge of crafting legislation that balances innovation with user protection, ensuring that the benefits of automation do not come at the expense of individual rights.

# The Path Forward To address the challenges posed by the rise of bots, several strategies can be implemented: 1. **Enhanced Transparency** Companies that deploy bots should prioritize transparency in their operations. This includes clearly communicating how data is collected and used, as well as providing users with the option to opt-out of data collection practices. By fostering trust through transparency, businesses can mitigate privacy concerns and enhance user confidence. 2. **Improved Bot Design** Investing in better bot design is crucial for improving user experience. Developers should focus on creating bots that can understand context and provide relevant responses. Incorporating human-like interaction patterns can help bridge the gap between automated systems and user expectations, leading to higher satisfaction rates. 3. **Regulatory Development** Policymakers must work to develop comprehensive regulations that address the unique challenges posed by bots. This includes establishing standards for data privacy, security, and ethical use of AI technologies. Collaborative efforts between governments, industry leaders, and advocacy groups can help create a regulatory environment that protects users while fostering innovation. 4. **User Education** Educating users about the capabilities and limitations of bots is essential. As users become more informed about how bots operate, they can better navigate interactions and recognize potential risks. Public awareness campaigns can empower individuals to make informed decisions about their online activities. 5. **Ethical Considerations** As the technology behind bots continues to evolve, ethical considerations must remain at the forefront. Developers and businesses should adhere to ethical guidelines that prioritize user welfare and societal impact. Engaging in discussions about the ethical implications of bot usage can foster a culture of responsibility within the tech industry.

# Conclusion The rise of bots presents both opportunities and challenges for users and businesses alike. While automation can enhance efficiency and streamline processes, it also raises significant concerns related to privacy, misinformation, employment, user experience, and security. Addressing these challenges requires a concerted effort from stakeholders across the spectrum—from policymakers to business leaders to users themselves. By fostering transparency, improving design, developing robust regulations, educating users, and prioritizing ethical considerations, we can navigate the complexities of a bot-driven world and ensure that technology serves the best interests of society.

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OpenAI Aims to Make ChatGPT Your Go‑To Shopping Assistant – Revolutionizing Retail Support

OpenAI Aims to Make ChatGPT Your Go-To Shopping Assistant – Revolutionizing Retail Support In an ambitious move to reshape the online shopping landscape, OpenAI has unveiled significant updates to its popular AI model, ChatGPT, integrating advanced shopping features that promise to enhance the consumer experience. This development is not only a testament to the growing capabilities of AI but also a strategic challenge to traditional search engines like Google in the realm of e-commerce.

Understanding the New Features The latest iteration of ChatGPT brings forth a suite of shopping functionalities designed to streamline the purchasing process for users. Shoppers can now engage with the AI in a conversational manner, asking questions about products, comparing prices, and receiving tailored recommendations based on their preferences and past interactions. This feature effectively transforms ChatGPT from a mere chatbot into a robust shopping assistant that can assist users throughout their buying journey. One of the standout features of this update is the integration of real-time product information. By leveraging partnerships with major retailers, ChatGPT can provide users with up-to-date inventory levels, price changes, and promotional offers. This capability allows consumers to make informed decisions quickly, without the need to navigate multiple websites or apps. The AI's ability to synthesize information from various sources ensures that users receive comprehensive insights in one place.

Personalized Shopping Experience Personalization is at the heart of this new shopping assistant. By utilizing machine learning algorithms, ChatGPT can analyze user behavior, preferences, and previous interactions to curate a personalized shopping experience. For instance, if a user frequently searches for eco-friendly products, the AI will prioritize suggestions that align with those values. This level of customization not only enhances user satisfaction but also increases the likelihood of conversions for retailers. Moreover, the conversational aspect of ChatGPT allows for dynamic interaction. Users can ask follow-up questions, seek clarification, or even request alternative options in real time. This interactivity mirrors the experience of shopping with a knowledgeable friend, making the process more engaging and less transactional.

Impact on Retailers For retailers, the integration of ChatGPT as a shopping assistant presents both challenges and opportunities. On one hand, businesses must adapt to a landscape where AI plays a central role in consumer interactions. Retailers will need to ensure that their product information is accurate and readily available for AI systems to pull from. This may require investments in data management and technology infrastructure. On the other hand, the potential for increased sales through AI-driven recommendations is significant. Retailers who embrace this technology can tap into a broader audience, reaching consumers who may have previously relied on search engines for their shopping needs. The ability to engage customers through personalized conversations can lead to higher engagement rates and, ultimately, increased revenue.

Competition with Traditional Search Engines OpenAI's entry into the shopping space is poised to challenge established players like Google. Traditionally, consumers have turned to search engines to find products, compare prices, and read reviews. However, with ChatGPT's conversational capabilities, users may find it more convenient to interact with an AI that can provide immediate answers and recommendations. This shift could alter the dynamics of online shopping. Users may prefer the efficiency and personalization offered by an AI assistant over the traditional search experience, potentially leading to a decline in traffic for conventional search engines. As AI continues to evolve, the competition between these platforms will likely intensify, prompting each to innovate further to retain users.

Consumer Privacy and Ethical Considerations As with any technological advancement, the integration of AI into shopping raises important questions about consumer privacy and ethics. OpenAI has emphasized its commitment to user privacy and data security, implementing measures to ensure that personal information is handled responsibly. However, consumers must remain vigilant about how their data is used and shared. Transparency in AI operations is crucial. Users should be informed about what data is collected, how it is used, and the benefits they can expect. OpenAI's approach to ethical AI development will play a significant role in building trust with users and encouraging them to embrace this new shopping experience.

The Future of Shopping with AI Looking ahead, the implications of AI-driven shopping assistants like ChatGPT are profound. As technology continues to advance, we can expect even more sophisticated features that enhance the shopping experience. Future updates may include virtual try-ons for clothing and accessories, augmented reality integrations, and enhanced product visualization tools. Additionally, as AI becomes more adept at understanding natural language and context, the conversations between consumers and AI will become increasingly seamless. This evolution will further blur the lines between human interaction and AI assistance, creating a hybrid shopping experience that combines the best of both worlds.

Conclusion OpenAI's initiative to transform ChatGPT into a go-to shopping assistant represents a significant leap forward in the intersection of AI and retail. By prioritizing personalization, real-time information, and interactive engagement, this innovative approach aims to revolutionize how consumers shop online. As retailers adapt to this new landscape and traditional search engines respond to the challenge, the future of shopping promises to be more efficient, personalized, and engaging than ever before. As consumers continue to embrace digital solutions, the role of AI in retail will undoubtedly expand, paving the way for a new era of shopping that prioritizes convenience, personalization, and user satisfaction. The integration of AI into everyday tasks like shopping reflects a broader trend towards automation and intelligent assistance, setting the stage for an exciting future in e-commerce.

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How AI Is Transforming Telecom: From Network Overhauls to Innovative Business Models

How AI Is Transforming Telecom: From Network Overhauls to Innovative Business Models The telecommunications industry is experiencing a seismic shift as artificial intelligence (AI) technologies permeate every aspect of its operations. From optimizing network performance to reshaping business models, AI is not just a tool but a catalyst for transformation in telecom. This comprehensive exploration highlights the latest advancements, challenges, and opportunities that AI brings to the sector.

# The Need for Transformation Telecom companies have faced mounting pressures in recent years, including increased competition, regulatory changes, and the demand for higher-quality services. The explosion of data traffic, driven by the rise of IoT devices and streaming services, has further strained existing infrastructures. Traditional methods of managing networks and customer relationships are no longer sufficient. As a result, telecom operators are turning to AI to facilitate significant overhauls in their systems and processes.

# Network Optimization Through AI One of the most immediate impacts of AI in telecom is seen in network optimization. AI algorithms can analyze vast amounts of data generated by network operations, identifying patterns and anomalies that human operators might overlook. For instance, machine learning models can predict network congestion before it occurs, allowing operators to proactively reroute traffic, allocate resources more efficiently, and enhance overall service quality. Moreover, AI-driven automation is streamlining maintenance processes. Predictive maintenance tools analyze equipment performance data, predicting failures before they happen. This minimizes downtime and reduces operational costs, enabling telecom companies to maintain high service levels while optimizing resource allocation.

# Enhanced Customer Experience AI is also redefining the customer experience in telecom. Chatbots and virtual assistants powered by natural language processing (NLP) are now commonplace, providing 24/7 customer support and handling routine inquiries without human intervention. These AI systems learn from interactions, improving their responses over time and increasing customer satisfaction. Personalization is another area where AI excels. By analyzing customer data, telecom companies can offer tailored services and plans that meet individual needs. For example, AI can suggest optimal pricing plans based on usage patterns, enhancing customer retention and reducing churn rates.

# Revenue Generation through New Business Models The integration of AI into telecom isn’t limited to operational efficiencies; it’s also driving the creation of innovative business models. Many telecom operators are exploring new revenue streams by leveraging AI capabilities. For instance, some companies are developing AI-as-a-Service platforms, allowing other businesses to harness AI tools for their own operations. Additionally, telecom firms are using AI to enhance their marketing strategies. By utilizing predictive analytics, companies can identify potential customers and target them with personalized campaigns, increasing conversion rates. Furthermore, AI can help optimize supply chain management, ensuring that telecom providers can respond swiftly to market demands.

# Challenges in Implementation Despite the promising potential of AI in telecom, several challenges remain. Data privacy and security concerns are paramount, especially as telecom companies handle sensitive customer information. Implementing robust cybersecurity measures is essential to protect against data breaches and maintain customer trust. Another challenge is the integration of AI technologies with legacy systems. Many telecom operators still rely on outdated infrastructure, making it difficult to adopt cutting-edge AI solutions. Transitioning to AI-enabled systems requires significant investment in both technology and training. Moreover, there is a skills gap in the industry. While AI offers numerous benefits, it necessitates a workforce that is proficient in data science, machine learning, and AI technologies. Telecom companies must invest in training programs to upskill their employees or risk falling behind in the AI race.

# Future Outlook: AI and 5G The rollout of 5G technology is set to further amplify the impact of AI in telecom. With its promise of ultra-low latency and high-speed connectivity, 5G creates an environment where AI can thrive. Real-time data processing and analysis will enable telecom operators to make instantaneous decisions, improving network reliability and customer experience. Moreover, 5G opens up new use cases for AI, such as smart cities, autonomous vehicles, and advanced industrial applications. Telecom companies are well-positioned to capitalize on these developments by offering AI-powered solutions that leverage their extensive networks.

# Case Studies: Success Stories in AI-Driven Telecom Several telecom operators are already reaping the rewards of AI integration. For instance, Vodafone has implemented AI-driven analytics to enhance its network management, resulting in improved performance and reduced operational costs. By leveraging machine learning, Vodafone can predict network issues and address them proactively, ensuring uninterrupted service for its customers. Similarly, AT&T is utilizing AI to optimize its customer service operations. The company’s virtual assistant, known as “AT&T Assistant,” employs NLP to assist customers with billing inquiries, plan changes, and technical support. This AI initiative has significantly decreased call volumes to customer service representatives, allowing human agents to focus on more complex issues.

# Conclusion As the telecommunications landscape continues to evolve, AI stands out as a transformative force driving innovation and efficiency. From network overhauls to the development of new business models, the integration of AI technologies is reshaping how telecom companies operate and interact with their customers. While challenges persist, the potential benefits far outweigh the obstacles. With the advent of 5G and the increasing demand for seamless connectivity, the future of telecom is undoubtedly intertwined with AI. Companies that embrace this technology will not only enhance their operational capabilities but also position themselves as leaders in an increasingly competitive market. The journey towards an AI-driven telecom ecosystem is just beginning, and its implications will be felt across industries for years to come.

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