Orson Amiri

  Google has officially confirmed that it will host a media-only Googlebook preview event in New York City on September 15, 2026, offering journalists an exclusive first look at its next-generation laptop platform. Rather than a traditional consumer launch, the event will feature a Google leadership keynote, OEM partner demonstrations, and hands-on sessions where attendees can explore the new devices and their capabilities. Googlebook marks Google's attempt to create a new premium laptop category by combining the best of Android and ChromeOS with Gemini Intelligence at its core. The platform introduces AI-powered features such as Magic Pointer for contextual actions, Create My Widget for personalized dashboards, Cast My Apps for running Android apps directly from a compatible phone, and Quick Access for seamless file sharing across devices. The first wave of Googlebook laptops will be built by Acer, ASUS, Dell, HP, and Lenovo, giving the platform strong hardware support from day o...

  Apple is reportedly preparing to launch Apple Pay in India in late September or October 2026, although the company has not officially confirmed the timeline. The initial rollout is expected to support Visa and Mastercard credit cards, enabling iPhone and Apple Watch users to make secure, contactless payments through NFC technology. However, the service is not expected to include UPI integration at launch, positioning it primarily as a premium card payment solution. India's digital payments landscape is already dominated by UPI, which processed 23.66 billion transactions worth ₹29.88 trillion in July 2026. With widespread acceptance across merchants, banks, and payment apps, UPI has become the country's preferred payment method. Apple Pay, on the other hand, is likely to appeal to users who prefer the convenience, security, and rewards associated with credit card payments rather than replacing the existing payment ecosystem. Despite inevitable comparisons, Apple Pay is expecte...

  AI-generated content has become a major part of the internet, but not every article created with AI qualifies as AI slop. The real concern is low-quality content that appears polished while lacking meaningful insights, credible research, or original value. As AI-generated content continues to grow, the more important question is not whether AI was involved, but whether the information is accurate, useful, and trustworthy. AI slop is often marked by repetitive ideas, predictable formatting, vague references, exaggerated claims, and little to no unique perspective. Even more problematic are AI hallucinations, where articles include fabricated statistics, fake studies, incorrect dates, or sources that fail to support the claims being made. These issues make careful fact-checking and source verification essential when evaluating online content. Instead of depending solely on AI detection tools, readers and publishers should prioritize editorial quality. AI Slop Vs. Human Writing exp...

  ShieldFont is an experimental anti-AI scraping system designed to make large-scale web scraping more difficult by separating what humans see from what automated scrapers extract. Instead of blocking bots outright, it uses OpenType font substitutions to display the intended text to readers while presenting altered underlying words to basic scraping tools. This approach reduces the usefulness of scraped content, making AI data collection more expensive and less reliable without disrupting the reading experience. Unlike traditional anti-scraping methods such as robots.txt files or web application firewalls, ShieldFont focuses on degrading the quality of scraped data rather than preventing access. Although it can significantly alter machine-readable text, it is not foolproof, as advanced AI scrapers can still bypass it using browser rendering, OCR, computer vision, or reverse-engineering techniques. It also comes with trade-offs, including potential issues with SEO, accessibility, tr...

  Artificial intelligence is transforming the fast-food industry by connecting ordering, kitchen management, inventory, and workforce planning into a single intelligent ecosystem. Instead of replacing employees, AI is helping restaurants streamline repetitive tasks, improve operational efficiency, and enhance the customer experience. From voice ordering to smart kitchen displays and machine learning, these technologies enable restaurants to make faster, data-driven decisions while maintaining food quality and service standards. Drive-thru operations have become one of the most visible examples of AI adoption. Voice assistants can process customer orders, recommend menu items, and support multiple languages, while machine learning forecasts demand using factors such as historical sales, weather, promotions, and peak business hours. Meanwhile, connected kitchen systems prioritize orders, coordinate dine-in, delivery, and mobile requests, and help reduce preparation delays and operati...

  Automated hiring has transformed recruitment by enabling employers to process thousands of applications quickly, but speed often comes at the cost of fairness. Many Applicant Tracking Systems (ATS) and AI-powered screening tools rely on rigid filters, keyword matching, and predefined criteria that can reject highly qualified candidates before a recruiter reviews their applications. Research from Harvard Business School found that a significant majority of employers believe these systems unintentionally screen out capable applicants simply because they fail to match exact job requirements. The problem extends beyond keyword mismatches. AI recruiting systems can inherit biases from historical hiring data, overlook candidates with unconventional career paths, and create accessibility barriers for individuals with disabilities. Emerging concerns also include the manipulation of large language model (LLM)-based résumé screening, where applicants can exploit weaknesses in AI models to ...

  AI is rapidly becoming part of Hollywood’s filmmaking toolkit, influencing everything from pre-production and visual effects to localization, marketing, and digital performances. Studios and filmmakers are using AI to analyze scripts, create storyboards, generate crowds, clean footage, modify faces, produce subtitles and dubbing, and test promotional content. While these tools can reduce repetitive work and make complex productions more accessible, they are also raising questions about creativity, ownership, and the future of filmmaking jobs. Hollywood’s relationship with AI is not entirely new. One major milestone came in 2001 when Weta used Massive software for The Lord of the Rings: The Fellowship of the Ring , creating digital crowd agents capable of reacting to their surroundings and making limited behavioral decisions. Years later, AI-generated filmmaking took another step with Sunspring , a 2016 short film based on a screenplay produced by a recurrent neural network. These...

  AI has transformed wearables from basic fitness trackers into sophisticated health-monitoring tools capable of identifying potential medical conditions. The global wearable medical device market is projected to reach $68.1 billion in 2026, reflecting the growing role of connected health technology. By combining sensors with machine learning, modern devices can analyze heart rhythm, oxygen levels, glucose, temperature, and movement while filtering out noise caused by motion, device fit, and other factors. This allows wearables to provide more meaningful health insights rather than simply displaying raw measurements. The biggest difference is between consumer wellness devices and clinical-grade medical wearables. Fitness trackers are generally designed to support lifestyle goals and may not be validated for diagnosing or monitoring specific conditions. Clinical-grade devices, however, undergo rigorous testing and regulatory review when they make medical claims. FDA-cleared examples...

  AI agents are evolving from systems that simply respond to prompts into intelligent systems capable of planning, reasoning, learning, and completing tasks over time. A key capability driving this evolution is memory. AI agent memory enables systems to retain relevant context, recall previous interactions, learn from outcomes, and use past information to make better decisions. Unlike traditional AI interactions that often begin from scratch, memory-enabled agents can provide more consistent, personalized, and context-aware experiences across sessions. AI agent memory can be divided into several types, each serving a different purpose. Short-term or working memory maintains current conversations, instructions, and intermediate task information, while long-term memory preserves useful details across sessions. Semantic memory helps agents retain facts, concepts, and relationships, whereas episodic memory records specific experiences, actions, and outcomes. Procedural memory, meanwhil...

  Meta has entered the AI coding-agent market with the beta launch of Muse Code, a terminal-based assistant powered by the Muse Spark 1.2 model. Introduced on August 5, 2026, the tool is designed for repository-scale software development, enabling developers to plan code changes, edit files, execute commands, validate results and coordinate persistent background subagents. Its restart-safe local event log also allows interrupted tasks to resume without losing completed progress. Unlike traditional AI coding assistants that mainly generate code suggestions, Muse Code is built to work directly within terminal and CI workflows. It supports built-in planning and execution commands while enabling asynchronous background agents to continue analyzing repositories and preparing tasks. Meta is also competing on affordability, offering lower token pricing than many rivals, although organizations handling proprietary code should carefully review the contributor tier's data-use terms. Competit...

  Artificial intelligence has become an essential part of modern business operations, leading organizations to invest in multiple AI tools for writing, coding, research, design, automation, and analytics. However, as different teams adopt their own preferred platforms, subscription costs can quickly spiral due to overlapping features, unused licenses, API charges, token consumption, and premium add-ons that often go unnoticed. To get the most value from AI investments, businesses should begin by auditing every subscription, assigning clear ownership, and identifying duplicate tools. Organizations can further reduce costs by making full use of existing licenses, choosing the right AI model for each task, standardizing workflows, controlling token usage, and selecting pricing plans that align with actual usage instead of estimated needs. Learn more about AI Subscriptions and discover seven practical strategies to eliminate unnecessary spending, improve workflow efficiency, optimize ...

  OpenAI has revealed Astra, its upcoming AI research system, which reportedly achieved ten major breakthroughs across mathematics and theoretical computer science. Built as a multi-agent system, Astra is designed to tackle long-running, complex problems by exploring multiple solution paths, identifying errors, revising its reasoning, and generating formal mathematical proofs. The reported results include resolving several long-standing open questions while strengthening existing theorems and proving tighter mathematical bounds. Unlike traditional AI models that generate quick responses, Astra focuses on sustained research workflows. OpenAI explained that the AI worked alongside human researchers, who prepared the research manuscripts, while the Lean proof assistant formally verified every logical step. The company also clarified that the widely shared $2,000 figure represents only the estimated solution-finding token costs at Sol API rates—not the total cost of developing or train...

  In this episode of TechDogs Discover Dialogues Fireside Chat, host Vikramsinh Ghatge brings together Deb Briggs, VP and Chief Information Security Officer at NETSCOUT; Cynthia Overby, Director, Strategic Security Solutions, zCOE at Rocket Software; and Ajay Agrawal, Chief Information Security Officer at Gainsight, for a practical discussion on cybersecurity leadership in the AI era. The CISO roundtable explores how security leaders are moving beyond AI experimentation toward stronger governance and disciplined risk management, covering emerging cyber threats, shadow AI, identity security, third-party dependencies, supply chain exposure, vulnerability management, and the growing challenge of communicating cyber risk to business leaders and boards. A key theme of the conversation is the systemic risk created by third-party and cloud concentration. As organizations increasingly depend on a limited number of cloud providers, managed service providers, and technology partners, a singl...

  Google Search Console is expanding beyond traditional websites by allowing brands and creators to track how their content on social platforms performs in Google Search. The new platform properties feature, now globally available, supports Instagram, TikTok, X, and YouTube. Users can monitor Google-driven clicks, impressions, search queries, click-through rates, and average position for each verified social account or channel, giving them a clearer picture of how audiences discover their content through search. Setting up the feature requires users to add and verify each social media account as a separate property. Once connected, Search Console provides Performance, Insights, and Achievements reports that highlight traffic trends, leading content, search queries, and key milestones. Users can filter data by posts, dates, countries, devices, and search surfaces, helping them identify content that is gaining visibility or attracting interest over time. The integration gives brands ...