
What on Earth is ‘Baristaphobia'?
The survey, conducted by Philips, found that 47 per cent of young people avoid coffee shops, preferring to order their caffeine fix via delivery apps.
Seven per cent of those surveyed explicitly admitted to experiencing "Baristaphobia," a fear of approaching a barista.
The anxiety extends to making coffee for others, with 38 per cent of Gen Z expressing dread over the social consequences of serving a potentially bad cup.
One in ten Gen Z individuals are reportedly using artificial intelligence to learn how to perfect their coffee-making skills at home.

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The Guardian
23 minutes ago
- The Guardian
What will the AI revolution mean for the global south?
I come from Trinidad and Tobago. As a country that was once colonized by the British, I am wary of the ways that inequalities between the global north and global south risk being perpetuated in the digital age. When we consider the lack of inclusion of the global south in discussions about artificial intelligence (AI), I think about how this translates to an eventual lack of economic leverage and geopolitical engagement in this technology that has captivated academics within the industrialised country I reside, the United States. As a scientist, I experienced an early rite of passage into the world of Silicon Valley, the land of techno-utopianism, and the promise of AI as a net positive for all. But, as an academic attending my first academic AI conference in 2019, I began to notice inconsistencies in the audience to whom the promise of AI was directed. AI researchers can often identify consistent choices for locations where such conferences are hosted, and where they are not. NeurIPS, one of the top AI conferences, has highlighted annual issues for obtaining visas for academic attendees and citizens from the African continent. Attending such a prestigious conference in the field grants one the opportunity to gain access to peers in the field, new collaborations and feedback on one's work. I often hear the word 'democratisation' within the AI community, an implication of equity in access, opportunity and merit for contribution regardless of one's country of origin. Associate professor of economics Fadhel Kaboub talks about how 'a lack of vision for oneself results in being a part of someone else's vision', reflecting on how systematically lacking an access to infrastructure results in local trade deficits in economies. As in the time of Nafta's promise of 'free trade', promises of 'AI democratisation' today still exist and benefit mainly countries with access to tech hubs not located in the global south. While the United States and other industrialized countries dominate in access to computational power and research activity, much of the low-paid manual labour involved in labelling data and the global underclass in artificial intelligence still exists in the global south. Much like coffee, cocoa, bauxite and sugar cane are produced in the global south, exported cheaply and sold at a premium in more industrialized countries, over the past few years we have seen influence in AI inextricably tied to energy consumption. Countries that can afford to consume more energy have more leverage in reinforcing power to shape the future direction of AI and what is considered valuable within the AI academic community. In 2019, Mary L Gray and Siddharth Suri published Ghost Work, which exposed the invisible labour of technology today, and at the beginning of my tenure at graduate school, the heavily cited paper Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence was published. It has been five years since these seminal works. What would an AI community inspired by the Brics organisation, which united major emerging economies to advocate for themselves in a system dominated by western countries, look like for the global south? I often ask myself how AI has contributed to our legacy, and whose stories it won't tell. Has AI mitigated issues of mistrust and corruption in less-resourced countries? Has it benefited our civic communities or narrowed educational gaps between less-resourced regions? How will it make society better, and whose society will it make better? Who will be included in that future? A historical mistrust can impede adoption by developing countries. Furthermore, many developing countries have weak institutional infrastructures, poor or nonexistent laws and regulatory frameworks for data projection and cybersecurity. Therefore, even with an improved information infrastructure, they are likely to function at a disadvantage in the global information marketplace. A currency is only as good as its perceived global trust. When thinking about the democratization in AI and a vision of what it could be in years to come, AI's survival requires including more perspectives from regions such as the global south. Countries from the global south should work together to build their own markets and have a model of sovereignty for their data and data labour. Economic models often consider a definition of development that includes a measure of improvement in the quality of life of the most marginalized of its people. It is my hope that in the future that will extend to our evaluation of AI. Krystal Maughan is a PhD student at the University of Vermont studying differential privacy and machine learning


Geeky Gadgets
30 minutes ago
- Geeky Gadgets
Claude HIVE Workflow : Upgrade Claude Code Agents for Faster, Smarter Coding
What if you could delegate the most tedious, time-consuming parts of app development to a team of hyper-focused, tireless assistants? Enter Claude Hive and sub-agents—AI-powered tools that are not just reshaping workflows but completely redefining what's possible in software development. With their ability to handle specific tasks like UX research, interface design, and even performance benchmarking, these sub-agents operate with surgical precision. Imagine a single project broken into perfectly synchronized parts, each managed by a specialized agent working in parallel to deliver results faster and with fewer errors. It's not just efficiency—it's a revolution. And the best part? These tools come with a staggering 200,000-token memory, making sure they never lose sight of the bigger picture, no matter how intricate your project gets. AI Labs explains more about Claude Hive and Claude Code sub-agents, you'll uncover how these AI tools can supercharge your development process, from optimizing workflows to integrating seamlessly with existing codebases using features like GitIngest. You'll learn how to harness their capabilities to tackle complex projects with ease, avoid common pitfalls like token mismanagement, and even unlock creative possibilities through advanced prompt chaining. Whether you're building a innovative app or refining a prototype, the potential of these sub-agents is nothing short of fantastic. So, how do you upgrade your coding game to match this new era of development? The answers lie ahead, waiting to challenge your assumptions and spark your imagination. Claude Code Sub-Agents Overview Understanding Claude Code Sub-Agents Claude Code sub-agents are specialized AI tools that handle specific tasks within a development workflow. Each sub-agent operates independently and is equipped with a substantial 200,000-token window, allowing it to retain deep context for intricate projects. These sub-agents can work sequentially by chaining tasks or in parallel to maximize efficiency and reduce development time. For instance, consider a scenario where a UX Researcher sub-agent defines user experience and navigation strategies while a UI Designer sub-agent concurrently plans interface components based on that research. By assigning distinct roles to sub-agents, you ensure that every aspect of your project is addressed with precision and expertise. This division of labor allows developers to focus on higher-level decision-making while the sub-agents handle specialized tasks. Optimizing Workflows for Maximum Efficiency To fully harness the potential of Claude Code, a well-structured workflow is essential. Sub-agents can be assigned to manage various tasks, including: Conducting UX research to understand user needs and preferences. Prioritizing sprints to align with project milestones. Designing user interfaces that are both functional and visually appealing. Benchmarking performance to ensure optimal app functionality. Prompt chaining is a powerful feature that allows tasks to be triggered in sequence, making sure a logical progression of work. Parallel processing, on the other hand, enables multiple sub-agents to operate simultaneously, significantly reducing development time. For example, if you're building a YouTube production manager app, one sub-agent could analyze user requirements, another could design the interface, and a third could implement advanced micro-interactions. This collaborative approach ensures that tasks are completed efficiently and to a high standard. HIVE Coding : Upgrade Your Claude Code Agents Watch this video on YouTube. Master Claude Code with the help of our in-depth articles and helpful guides. Using GitIngest for Seamless Integration One of the standout features of Claude Code is GitIngest, a tool that converts repositories into readable text for sub-agents. This functionality allows developers to integrate existing codebases into their workflows, providing sub-agents with the context they need to perform effectively. For example, you could use GitIngest to analyze a repository from a previous project. The insights gained can inform your current development process, making sure continuity and reducing redundancy. By combining GitIngest with markdown (MD) files for context management, you can maintain a clear and organized workflow. This integration not only saves time but also enhances the accuracy and relevance of the sub-agents' outputs. Addressing Challenges in Implementation While Claude Code offers numerous advantages, it also presents challenges that require careful management. Poor planning or insufficient review of sub-agent outputs can lead to suboptimal results. To mitigate this, it's crucial to refine prompts and adjust workflows to align with project goals. For instance, if a prototype lacks essential functionality, revisiting the sub-agent responsible and providing more detailed instructions can resolve the issue. Token management is another critical consideration. Tasks that consume a high number of tokens may necessitate a robust subscription plan, such as Claude Opus, to ensure that sub-agents have the resources they need to operate effectively. Monitoring token usage and allocating resources strategically can help you maximize the benefits of Claude Code while staying within budget. Key Benefits of Using Sub-Agents The integration of sub-agents into app development workflows offers several significant advantages: Enhanced app quality through the use of specialized, context-aware agents. through the use of specialized, context-aware agents. Accelerated development by distributing tasks and using parallel processing. by distributing tasks and using parallel processing. Streamlined project management within a single, cohesive session. For example, a Rapid Prototyper sub-agent can establish the foundational structure of your app, while a Test Runner ensures its functionality. Meanwhile, a Whimsy Injector can add intricate UI details and animations, creating a more engaging user experience. This collaborative ecosystem of sub-agents allows developers to achieve high-quality results with greater efficiency. Elevating App Development with Claude Code Claude Code sub-agents represent a significant advancement in app development, offering a more efficient and specialized approach to project execution. Tools like GitIngest, prompt chaining, and parallel processing empower developers to create workflows that deliver exceptional results. While challenges such as token management and prompt refinement require attention, the benefits of using sub-agents far outweigh the drawbacks. Whether you're developing a complex application or a simple prototype, Claude Code sub-agents provide the tools and capabilities needed to succeed in today's fast-paced development landscape. Media Credit: AI LABS Filed Under: AI, Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.


Geeky Gadgets
2 hours ago
- Geeky Gadgets
OpenRouter Review : Easily Access Over 450 AI Models
What if the secret to unlocking your creative potential or streamlining your workflow wasn't just talent or effort, but the right tool? For serious writers and developers navigating the ever-expanding world of AI, the challenge isn't just about finding the best large language model (LLM)—it's about managing the overwhelming options available. Enter OpenRouter, a platform that promises to simplify this chaos by offering centralized access to over 453 LLMs, including industry giants like GPT and Claude. With its user-friendly interface and powerful integrations, OpenRouter isn't just another AI tool—it's a fantastic option for those who demand both efficiency and creative freedom. But does it live up to the hype? In this assessment, we'll explore whether OpenRouter truly delivers on its bold claims. Through this exploration, the Nerdy Novelist explains how OpenRouter enables users to navigate the complexities of AI with ease, offering features like seamless compatibility with popular tools, advanced customization options, and robust privacy controls. Whether you're a writer looking to refine your craft or a developer aiming to innovate, OpenRouter's unique capabilities promise to enhance your productivity while keeping your data secure. But beyond the technical specs, what makes this platform stand out? And is it the right fit for your needs? As we unpack its features and real-world applications, you might just find that OpenRouter isn't merely a tool—it's a fantastic option for creativity and efficiency in an AI-driven world. OpenRouter AI Access The Importance of Centralized Access to LLMs Navigating the vast landscape of AI models can be a daunting task, but OpenRouter simplifies this process by acting as a centralized hub. It allows users to filter models based on specific criteria such as context length, pricing, and unique capabilities like image or file handling. This tailored approach ensures that you can identify and use the model best suited to your needs. For instance, if you are working on a long-form writing project, OpenRouter provides detailed specifications, including input/output costs and supported modalities, allowing you to select a model with an extended context window. This level of detail enables users to make informed decisions, saving time and effort. By consolidating access to multiple platforms, OpenRouter eliminates the need to juggle various tools. This streamlined approach not only enhances efficiency but also ensures that you can fully use the advanced capabilities of modern AI models without unnecessary complexity. Seamless Integration with Existing Tools One of OpenRouter's most compelling features is its seamless compatibility with popular writing and automation tools such as NovelCrafter, Raptorite, and Make. These integrations allow you to embed AI functionality directly into your existing workflows, enhancing both creativity and efficiency. For example, if a particular model does not deliver the desired results, OpenRouter's fallback mechanism enables you to switch to another model without disrupting your workflow. This ensures reliability, especially for time-sensitive tasks, and keeps your processes running smoothly. By integrating AI into your tools, OpenRouter helps you unlock new levels of productivity and innovation. How OpenRouter Simplifies Access to AI Models Watch this video on YouTube. Stay informed about the latest in Large Language Models (LLMs) by exploring our other resources and articles. Advanced Features for Enhanced Control OpenRouter goes beyond providing access to LLMs by offering advanced features that prioritize control and customization. Users can test and compare multiple models simultaneously, making it easier to identify the best option for a specific task. This comparative functionality is particularly valuable for those working on complex or high-stakes projects. Privacy is another key focus of OpenRouter. By storing chat histories locally within your browser, the platform minimizes reliance on cloud storage and ensures that your data remains private unless you choose otherwise. For developers, the ability to create API keys assists seamless integration with external tools, further expanding the platform's utility. Cost Transparency and Budget Management OpenRouter operates on a credit-based payment system, offering an affordable and flexible way to access LLMs. Users can set spending limits and enable auto top-off to maintain control over their budgets. This system is particularly beneficial for individuals and organizations looking to manage costs effectively. Detailed activity logs provide a transparent breakdown of costs for each prompt and usage session. This level of insight enables users to make informed decisions about resource allocation, making sure that every credit is used efficiently. Whether you are an individual writer or part of a larger team, OpenRouter's cost management features help you stay within budget while maximizing the value of your AI interactions. Privacy and Data Security Privacy is a critical consideration when using AI tools, and OpenRouter addresses this concern with robust data protection features. Users have the option to opt out of contributing input data for model training, giving them greater control over sensitive information. While this may limit access to certain free models, it provides an added layer of security for those handling confidential material. That said, OpenRouter is best suited for non-sensitive data. If your work involves highly confidential information, additional precautions are recommended to safeguard your data. By prioritizing user privacy, OpenRouter ensures that you can use its platform with confidence. Applications Across Diverse Industries The versatility of OpenRouter makes it a valuable tool across a wide range of industries. Its ability to cater to different needs ensures that professionals from various fields can benefit from its features. Writers: Experiment with prompts, compare model outputs, and refine creative processes to produce compelling narratives. Experiment with prompts, compare model outputs, and refine creative processes to produce compelling narratives. Developers: Integrate AI into programming tasks or marketing workflows to streamline operations and enhance efficiency. Integrate AI into programming tasks or marketing workflows to streamline operations and enhance efficiency. Marketers: Generate and compare ad copy from multiple models to create effective messaging strategies. Generate and compare ad copy from multiple models to create effective messaging strategies. Programmers: Debug code, brainstorm solutions, or explore innovative approaches using AI-powered insights. For example, a marketing professional might use OpenRouter to craft persuasive ad campaigns by comparing outputs from different models. Similarly, a programmer could use the platform to troubleshoot code or develop creative solutions, saving both time and effort. OpenRouter's adaptability ensures that it can meet the unique demands of various professions. Empowering Users in an AI-Driven World OpenRouter stands out as a robust, user-focused platform that enables writers, developers, and professionals across industries to harness the potential of large language models. By combining centralized access, seamless integrations, advanced features, and strong privacy controls, it offers a comprehensive solution for using AI effectively. Whether you are crafting stories, automating workflows, or exploring innovative applications, OpenRouter equips you with the tools and resources needed to succeed in an increasingly AI-driven world. Its commitment to accessibility, efficiency, and user empowerment makes it an indispensable asset for anyone looking to unlock the full potential of artificial intelligence. Media Credit: The Nerdy Novelist Filed Under: AI, Reviews, Top News Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.