Tech in :60: Trends You Need Now

Tech in 60: Trends You Need NowAI is no longer just a feature; it is becoming the foundation of the entire tech stack. Google’s November update introduced Gemini 3, billed as its most powerful multimodal and agentic model yet, able to understand text, images, audio, and video in a single flow, and even act as a “vibe coder” that can build apps from natural language. According to Google, Gemini 3 is designed to power highly personalized assistants and behind-the-scenes agents that quietly orchestrate work, shopping, and entertainment.At the same time, Google’s SIMA 2 project is pushing toward embodied intelligence. The company reports that SIMA 2 can follow language instructions inside complex virtual worlds, reason about goals, and continually improve, a step many researchers see as a bridge between today’s chatbots and tomorrow’s general-purpose digital workers.The race is not confined to the big platforms. MarketingProfs notes that Chinese startup DeepSeek has released open-source models claimed to rival OpenAI’s GPT-5 and Google’s Gemini 3 on elite math, coding, and reasoning tests. Built with sparse attention architectures and huge context windows, these models are being released under permissive licenses, putting frontier-level capabilities into the hands of startups, researchers, and even hobbyists, while regulators in the US and Europe scrutinize the data and national security implications.AI isn’t just about language. Google highlights how AlphaFold’s protein-folding breakthrough, now recognized with a Nobel Prize in Chemistry, is reshaping drug discovery and biology, showing that AI has matured into a core scientific instrument. Governments are also moving: recent briefings summarized by MarketingProfs describe large public–private AI initiatives aimed at cutting energy costs, accelerating simulations, and modernizing infrastructure, with companies like Nvidia and Dell at the center.On the hardware side, Gear Patrol reports that 2025’s most buzzed-about gadgets include Samsung’s tri-fold smartphone, blurring the line between phone, tablet, and laptop, and a wave of hi-fi gear that leans on AI for adaptive sound, smarter noise control, and room-aware tuning.For software builders, CoAI.io’s latest analysis argues that 2026 will be the year edge AI becomes standard practice, pushing intelligence closer to devices for faster, more private experiences, while early quantum components begin sneaking into data-heavy workflows.For listeners, the throughline is simple: agentic AI, open-source power models, edge intelligence, and shape-shifting hardware are converging into a tech environment that is more capable, more ambient, and much harder to ignore.Thank you for tuning in, and don’t forget to subscribe. This has been a quiet please production, for more check out quiet please dot ai.Some great Deals https://amzn.to/49SJ3QsFor more check out http://www.quietplease.aiThis content was created in partnership and with the help of Artificial Intelligence AI

Technology is shifting into high gear as we head into 2026, and the trends shaping this moment promise to transform how we work and live. Real-time AI has emerged as a defining force, with enterprises now demanding systems that respond instantly and understand context naturally. According to Deepgram's CEO, the shift toward conversational AI powered by low-latency, multimodal systems is reshaping everyday applications, from healthcare to customer service. Bidirectional streaming in AWS SageMaker represents a breakthrough that will serve as a primitive for the next decade, enabling AI to process information the way humans do—streaming in and streaming out simultaneously.Infrastructure has become the backbone of this AI revolution. Amazon Web Services reports that massive new infrastructure investments are critical to powering AI workloads. AWS is building across every layer of silicon, software, networking and data centers to deliver optimal performance at the lowest possible cost. Meanwhile, the market is witnessing unprecedented demand for accelerated servers, with server sales growing sixfold from 2024 to 2025 according to Dell's reports.Agentic AI represents the next frontier. Rather than simple chatbots, organizations are preparing for billions of autonomous agents that can act on behalf of people across every imaginable field. These agents are already demonstrating remarkable results, with research from November 2025 showing multi-agent systems like KOM reducing medical workflow time by 40 percent while improving care quality. The White House has recognized this potential, establishing the Genesis Mission to create a coordinated national AI platform combining federal datasets, high-performance computing, and autonomous experimentation to accelerate scientific discovery.The infrastructure challenges are real. A global NAND shortage is driving SSD prices up by 75 to 125 percent, forcing organizations to rethink their data architecture. Companies like DDN are introducing breakthrough solutions that maintain full AI performance while reducing storage costs by 40 to 70 percent, enabling hyperscalers and enterprises to protect their AI roadmaps.Governance and trust are becoming non-negotiable. Inference governance and explainability controls are moving from nice-to-have to mandatory, with built-in logging, provenance tracking, and guardrail layers becoming table stakes. Organizations are competing not just on speed and cost, but on trust and transparency.The convergence of real-time capabilities, agentic systems, and robust infrastructure marks a fundamental shift in how AI operates. Listeners preparing for 2026 should focus on building flexible systems that prioritize low-latency responses, multimodal understanding, and governance frameworks that ensure responsible deployment.Thank you for tuning in today. Be sure to subscribe for more insights on emerging technology trends. This has been a quiet please production, for more check out quiet please dot ai.Some great Deals https://amzn.to/49SJ3QsFor more check out http://www.quietplease.aiThis content was created in partnership and with the help of Artificial Intelligence AI

The tech landscape of late 2025 is marked by unprecedented transformation across multiple fronts. Artificial intelligence has moved from experimental stages into everyday operations, fundamentally reshaping how industries function and how consumers interact with technology.Edge AI implementations are becoming increasingly sophisticated, varying by device and use case. From real-time language translation in earbuds to facial recognition in smartphones, edge AI is redefining user experiences by minimizing latency and protecting data privacy. This shift reflects a broader industry trend toward processing intelligence directly on devices rather than relying solely on cloud infrastructure.Manufacturing has experienced one of the most dramatic changes this year. Predictive maintenance systems have achieved near-zero unplanned downtime on mission-critical production lines by using deep learning models running on edge compute devices. These systems now go beyond simple pattern recognition, achieving causal inference that tells technicians exactly why failures occur. Simultaneously, adaptive control systems using reinforcement learning are autonomously managing process variables in chemical, pharmaceutical, and food production facilities, adjusting parameters in real-time to maintain optimal conditions.The generative AI revolution continues expanding beyond tech companies. McKinsey reports that generative AI is now embedded in everyday enterprise operations, supporting writing workflows, design teams, customer service, and software development. Productivity gains are no longer theoretical but documented reality, with customer service teams resolving tickets faster and junior developers completing tasks with greater accuracy.Data center power demands are surging dramatically. Bloomberg NEF projects US data center power consumption will increase thirty-six percent to one hundred six gigawatts by twenty thirty-five, driven primarily by AI applications. This explosive growth raises critical questions about sustainability and energy efficiency as artificial intelligence becomes infrastructure underpinning healthcare, climate modeling, and countless other critical systems.Security concerns are intensifying alongside these advancements. Microsoft confirmed that Windows eleven AI agents hallucinate and pose serious security risks, prompting careful consideration of how enterprises deploy experimental agentic features. Meanwhile, operational technology networks are implementing AI-driven anomaly detection as standard cybersecurity practice, identifying subtle malicious activities that traditional signature-based tools would miss.Consumer electronics are experiencing their own revolution. Super-large TVs with enhanced resolutions are driving innovations in MicroLED and QD-OLED display technology. Smart home adoption is accelerating as energy costs remain high, with consumers prioritizing systems featuring advanced monitoring and optimization capabilities.These interconnected trends reveal an industry at an inflection point where artificial intelligence transitions from novelty to necessity. Organizations that successfully navigate this transition will emerge as leaders in the next decade of technological innovation.Thank you for tuning in. Please subscribe for more technology insights and analysis. This has been a Quiet Please production. For more, check out quietplease dot ai.Some great Deals https://amzn.to/49SJ3QsFor more check out http://www.quietplease.aiThis content was created in partnership and with the help of Artificial Intelligence AI

As we head into the final month of 2025, the technology landscape is shifting in fascinating ways. Black Friday just wrapped up on November 28th, and it revealed something crucial about where tech is heading. Retailers deployed artificial intelligence with surgical precision this year, using predictive algorithms to anticipate consumer behavior and personalize every interaction. AI helped companies understand whether customers were making impulse purchases or carefully planned buying decisions, then tailored marketing strategies accordingly. Cloud infrastructure from providers like Amazon Web Services, Microsoft Azure, and Google Cloud automatically scaled to handle massive traffic surges, while advanced fraud detection systems powered by machine learning protected millions of transactions in real time.But the bigger story emerging from late November involves a significant recalibration in how investors view artificial intelligence. The technology sector experienced a four point eight percent decline in November, with the Nasdaq Composite dropping four point three percent as skepticism about AI valuations mounted. However, certain companies bucked this trend. Alphabet, which released its Gemini 3 large language model to warm reception, returned thirteen point eight percent for the month. The company's tensor processing units, co-designed with Broadcom for internal use, are now attracting external interest, potentially expanding revenue opportunities for both firms.Meanwhile, groundbreaking research presented on November 19th showcased AI's evolution beyond consumer applications. Researchers unveiled seventeen breakthrough machine learning papers highlighting remarkable advances in healthcare. One particularly striking development involves AI systems detecting Parkinson's disease through voice analysis with ninety-eight percent accuracy, using vocal biomarkers for non-invasive neurological screening. Other research demonstrated that self-supervised audio models achieve remarkable correlation with human auditory cortex activity, suggesting artificial intelligence and biological intelligence operate on surprisingly similar principles.The convergence of these developments tells listeners something important. Artificial intelligence is maturing from speculative technology into practical infrastructure. Whether it's powering holiday shopping experiences, managing complex cloud networks, or detecting diseases through vocal patterns, AI has moved beyond hype into implementation. The market correction in November wasn't a rejection of AI itself, but rather a recalibration toward companies demonstrating genuine productivity gains and real-world applications.As we move into 2026, listeners should watch for autonomous AI agents, predictive cybersecurity systems becoming standard practice, and continued advancement in healthcare diagnostics powered by machine learning.Thank you for tuning in and please be sure to subscribe for more technology insights and analysis. This has been a quiet please production, for more check out quiet please dot ai.Some great Deals https://amzn.to/49SJ3QsFor more check out http://www.quietplease.aiThis content was created in partnership and with the help of Artificial Intelligence AI

The technology landscape is transforming at breathtaking speed as we move into 2026. TrendForce has identified the ten key trends that will define how the industry evolves over the next year, and the implications are profound.Artificial intelligence chip competition is intensifying dramatically. While NVIDIA remains the leading name in AI, AMD is challenging the giant by introducing its MI400 full-rack solution. Major cloud service providers are also developing their own in-house chips, and in China, companies like ByteDance, Baidu, and Alibaba are accelerating efforts toward technological self-sufficiency. This global competition will reshape the semiconductor market.AI server shipments are expected to surge by over twenty percent year-over-year, driven by massive capital spending in North America and the rise of sovereign cloud projects worldwide. To handle this growth, data centers are transitioning to eight hundred volt HVDC architecture, requiring advanced semiconductors like silicon carbide and gallium nitride. TrendForce predicts adoption of these third-generation semiconductors in data center power systems will reach seventeen percent by 2026.Storage solutions are evolving too. Nearline QLC solid state drives are rapidly being adopted for AI data storage, offering thirty-three percent higher storage density than previous generations. By 2026, QLC SSDs are expected to make up thirty percent of the enterprise SSD market.Display technology is entering a premium phase. Apple's OLED MacBook Pro panels are expected to arrive in 2026, marking a shift from mini-LED technology. TrendForce projects OLED laptop market share will hit five percent this year, increasing to nine through twelve percent between 2027 and 2028.Meanwhile, foldable smartphones are emerging as a major category. Apple is planning a launch around late 2026 to 2027, which could transform the market entirely. Industry analysts project worldwide shipments of foldable devices will surpass thirty million units by 2027.Beyond hardware, Google is working on breakthrough continual learning through its experimental HOPE model using nested learning. This addresses a fundamental limitation where current AI systems forget information and require retraining from scratch. Early tests show HOPE performs better than state-of-the-art language models on reasoning tasks.The AI startup ecosystem is booming too, with forty-nine US-based AI companies raising one hundred million dollars or more in 2025 alone. These startups are creating sophisticated software that automates complex tasks and enhances user experiences across healthcare, finance, and customer service.As listeners prepare for these changes, the convergence of AI, advanced semiconductors, and innovative displays promises to reshape how we work and live. The race is on, and 2026 will be pivotal.Thank you for tuning in to this tech update. Please subscribe for more insights into the technology shaping our future. This has been a quiet please production. For more, check out quiet please dot ai.Some great Deals https://amzn.to/49SJ3QsFor more check out http://www.quietplease.aiThis content was created in partnership and with the help of Artificial Intelligence AI

Tech in :60: Trends You Need NowIn 2025, technology is moving at breakneck speed, reshaping how we live, work, and connect. The biggest headline? Multimodal AI is officially mainstream, with advanced systems that process text, images, audio, video, and even complex PDFs all at once. NextLife Journal points out that apps built on this technology are powering everything from smarter search and virtual assistants to new diagnostic tools in medicine and creative media production. You’re not just asking a device for help anymore—you’re having a true conversation with something that understands your voice, your scribbles, and your photos all in one go.TechTimes News breaks down how artificial intelligence is now supercharging scientific discovery. AI is shortening drug development timelines dramatically, enabling new treatments for diseases to move from theory to testing in weeks instead of years. In material science, AI is uncovering novel battery compounds that last longer and charge faster, promising a step change in consumer tech and clean energy. Even agriculture is feeling the impacts, with AI-powered weather models leading to more accurate planting schedules and better disaster readiness.Fully autonomous AI agents are arriving according to Artoon Solutions. These digital agents can plan, optimize, and act independently for extended periods without human input, handling complex logistics, business analysis, and even creative tasks. This isn’t just automation; it’s a leap toward software that can manage projects and anticipate needs across entire organizations.On the business front, Vavoza reports viral digital marketing trends, including hyper-targeted content at scale, powered by generative AI models. Marketers are using AI to generate perfectly tailored campaigns, instantly responding to shifting audience interests, and A/B testing at speeds that would’ve seemed impossible a year ago.If you’re thinking bigger picture, Info-Tech Research Group emphasizes that artificial general intelligence—machines that match or exceed human cognitive abilities—may not be as far off as some suggest. However, top industry voices argue the trend that matters most today is practical AI: systems already capable of generalizing tasks across domains, driving real business and societal value.All these trends mean that AI isn’t just futuristic—it’s woven into daily life. From healthcare breakthroughs to e-commerce, social media, and business logistics, intelligent systems are now setting the pace. Stay tuned, subscribe for your next tech round-up, and remember: what seems new today will be the baseline tomorrow.Thank you for tuning in. Make sure to subscribe for more rapid tech insights. This has been a quiet please production, for more check out quiet please dot ai.Some great Deals https://amzn.to/49SJ3QsFor more check out http://www.quietplease.aiThis content was created in partnership and with the help of Artificial Intelligence AI

Welcome to Tech in 60: Trends You Need Now. The tech world is moving at warp speed this week, powered by the rise of new AI giants, breakthroughs in digital commerce, and the growing influence of autonomous technologies. Google’s Gemini 3, hailed as the world’s most advanced AI model, has just gone viral, outpacing OpenAI’s GPT-5 and Anthropic’s Claude Sonnet 4.5. With Gemini 3 Deep Think, Google edges closer to artificial general intelligence, as the model starts solving new types of problems and even tackling complex reasoning tasks once thought uniquely human. This leap propels the industry from mere chatbots to agentic AI—systems able to understand goals, execute plans, and adapt autonomously. For users, that means AI-powered features woven directly into daily tools like Search are not coming soon—they’re here now.Across the retail landscape, real-time AI is fueling hyper-personalized recommendations, adaptive promotions, and seamless unified commerce. By 2026, the traditional cashier is fading away. Fully autonomous stores powered by computer vision and predictive analytics are showing up in high-traffic areas, reshaping the way we shop and boosting convenience to new heights. Robotics is also pushing into the storefront, handling inventory, assisting customers, and speeding up micro-fulfillment centers, all while AI-driven sustainability tools work behind the scenes, aiming to cut waste and support the circular economy.A surge in collaborative AI systems is shaking up science and business alike. According to AI Frontiers, multi-agent platforms like Maestro and Station are transforming digital research, letting multiple AIs debate, critique, and generate scientific breakthroughs together. The implications stretch from self-driving cars and medical diagnostics to real-time decision-making in law and logistics. Alongside this, smaller, more specialized models are rivaling their massive counterparts, offering efficiency without sacrificing performance.On the corporate front, Nvidia remains at the heart of the AI hardware boom. Its CEO, Jensen Huang, notes that the sector is undergoing three massive shifts at once, as hyperscalers quadruple debt to meet surging demand for AI compute. Meanwhile, Google’s Antigravity platform and other innovations are triggering a rethink about work, automation, and what’s possible across sectors as diverse as vertical farming, cybersecurity, and even quantum computing.Finally, digital marketing is facing upheaval. As noted in today’s trend reports, content production is supercharged by generative AI, but the rise of agentic systems prompts urgent questions about trust, safety, and alignment. Ghost tapping, AI-driven scams, and the strategic use—and misuse—of these tools mean that tech ethics and resilience are now headline issues for everyone, from marketers to government regulators.Thanks for tuning in—subscribe for the latest on where tech is headed next. This has been a Quiet Please production, for more check out quietplease dot ai.Some great Deals https://amzn.to/49SJ3QsFor more check out http://www.quietplease.aiThis content was created in partnership and with the help of Artificial Intelligence AI

Tech in 60 brings listeners a snapshot of the most captivating trends shaping technology right now, with 2025 offering a dynamic mix of innovation, culture shift, and practical advances. The breakthrough story dominating November comes from Tsinghua University, where researchers engineered an optical processing engine that allows artificial intelligence to compute at the speed of light. This advancement not only boosts performance for AI tasks, but also signals a major leap in energy efficiency for future devices, setting the pace for next-generation hardware. NVIDIA and Japan’s RIKEN have just announced their newest supercomputing cluster, pushing boundaries in AI and quantum computing to enable more powerful discovery and simulation, underscoring how computational scale is fueling scientific leaps.On the consumer side, the global wearable technology market keeps soaring. According to News Channel Nebraska, usage is up, spurred by convenience and the launch of smart wearables from major phone makers. People are tracking health, navigating cities, and even accessing personalized virtual coaching, all from their wrists. Meanwhile, mobile apps are evolving rapidly. According to IPS Technology Services, the rollout of 5G is enabling smoother real-time experiences, while AI-powered assistants and voice-powered predictive tools are becoming standard. Companies are now offering apps with hyper-personalized features, cross-platform compatibility, and increased security via biometric authentication and encrypted data storage, showing how privacy expectations are rising alongside user demands.Culture is shifting just as fast as code. Josh McConnell’s end-of-year forecast highlights a tech trend not about more, but about less: digital minimalism and intentional tech use. In 2026, listeners are likely to see greater adoption of simplified devices—think flip phones, distraction-free tablets, and physical keyboards—as people seek clarity and control. Notification fatigue is prompting users to curate their digital environments, favoring fewer but smarter inputs. Major brands, including Apple, have begun positioning new computers not as spectacle, but as honest, respectful tools. This movement parallels another trend: human attention becoming the true battleground. As AI floods the market with infinite content, listeners’ time becomes increasingly precious, and trusted curators like newsletter authors and podcasters provide guidance through the endless noise.AI continues to roll out across industries, from helping travelers plan every step of their journey to restoring sight via Stanford’s wireless eye chip for macular degeneration patients. Gartner reports that agentic AI agents will soon upskill teams by executing complex tasks on their own initiative, indicating a future where smart assistants will not just recommend, but act.All these developments point to a tech landscape where innovation is real and rapid—but how listeners choose to engage, filter, and apply these tools will shape their daily lives as much as any headline breakthrough. Thanks for tuning in to Tech in 60. Subscribe to stay ahead of the curve. This has been a quiet please production, for more check out quiet please dot ai.Some great Deals https://amzn.to/49SJ3QsFor more check out http://www.quietplease.aiThis content was created in partnership and with the help of Artificial Intelligence AI

Welcome to Tech in 60: Trends You Need Now. Today’s episode arrives on November 13, 2025, and the pulse of technology is beating faster than ever, driven by advances in artificial intelligence, the emergence of new payment protocols, and paradigm-shifting standards for interoperability. According to WebProNews, this year’s AI surge has triggered a massive data center investment boom, but it comes with significant financial risks as both tech giants and smaller operators accrue substantial debt to keep up with escalating demands. Google’s partnership with Kairos Power, aiming to source nuclear energy for ultra-efficient AI-powered data centers, demonstrates just how far companies will go to meet the sector’s voracious hunger for computational power.Crunchbase notes that AI has moved from hype to habit in 2025—it’s no longer just innovative, but essential, becoming the silent backbone behind everyday business operations from customer service automation to supply chain decisions. But real progress lies not just in expanding AI’s capabilities; it’s in connectivity. The meteoric rise of Model Context Protocol, or MCP, marks a new standard, allowing companies to control exactly how AI interprets inputs across countless platforms, creating true ecosystems of connected intelligence. MCP isn’t just interoperability—it’s the new foundation for modular, composable IT architectures, enabling rapid integration and flexibility as markets shift.On the financial technology front, FinTech Futures highlights how AI is transforming payment infrastructure with the launch of instant checkout via Agentic Commerce Protocol and Agent Payments Protocol. Stripe and OpenAI’s September unveiling lets consumers shop via chat, while Google and PayPal are racing to connect millions of merchants. This shift means fraud detection must now happen in less than one-tenth of a second, forcing the entire industry to upgrade risk decisioning systems. Agentic AI, capable of autonomously handling transactions and investigations with unprecedented speed and accuracy, is moving from pilot projects to production-ready systems.Recent research showcased by AI Frontiers details breakthroughs in adaptive reasoning—AI models that know exactly when to stop thinking and act. The Re-FORC system achieves over 26% savings in computational resources while maintaining or even improving performance. Another critical revelation is that current large language models struggle with generalizing deep human values, pointing to an urgent need for safer, more aligned AI.Even as these platforms become more powerful, the focus is turning toward collaboration. Human-AI synergy is rapidly evolving, with integrated systems uniting user expertise, AI agents, and wearable hardware into smart platforms for industries ranging from healthcare diagnostics to manufacturing. The hidden architecture of AI progress works not just through bigger models but through smarter, more efficient, and interpretable systems—ones that don’t just deliver answers, but explain how and why they arrived at them.Looking ahead, as businesses move from monolithic IT systems to agile, modular environments, speed and flexibility become the ultimate competitive edge. Customers want instant personalized experiences; companies must innovate or risk falling behind. Whether you’re tracking AI’s energy revolution or exploring how smarter financial platforms are reinventing commerce at lightning speed, one thing is certain: technology in 2025 is no longer just disruptive—it’s foundational, shaping every experience and decision.Thanks for tuning in to Tech in 60. Don’t forget to subscribe for the fastest insights in tech. This has been a quiet please production, for more check out quiet please dot ai.Some great Deals https://amzn.to/49SJ3QsFor more check out http://www.quietplease.aiThis content was created in partnership and with the help of Artificial Intelligence AI

Today’s tech landscape is defined by rapid innovation and a few key trends that are shaping the way listeners interact with the world. Artificial intelligence is no longer just a buzzword; it’s a driving force behind everything from business operations to personal productivity. According to Fortune, Microsoft is betting on influencers like Alix Earle to help close the gap with ChatGPT, signaling a shift toward more relatable and accessible AI experiences. Meanwhile, CoreWeave’s earnings report revealed $56 billion in contracted revenue, but concerns about an AI infrastructure bubble are growing as guidance and share prices tick down.The global diffusion of AI is accelerating at an unprecedented pace. Microsoft’s AI Diffusion Report shows that in less than three years, more than 1.2 billion people have used AI tools, a rate faster than the internet, personal computers, or smartphones. This rapid adoption highlights both the potential and the challenges of ensuring equitable access. Nearly four billion people still lack the basics needed to participate in the AI economy, underscoring the urgent need for collaborative action to bridge this gap.In the realm of innovation, agentic AI is emerging as a top strategic trend for 2025. Gartner reports that autonomous AI agents will dramatically upskill workers and teams, enabling them to manage complicated processes through natural language. This shift is transforming AI from a mere facilitator to an active participant in business workflows. Platforms like OpenAI’s new features are integrating company knowledge directly into digital environments, making AI an immediate expert on internal documents and alleviating the burdens of training and repetitive inquiries.Privacy and accuracy remain critical concerns as AI becomes more integrated into daily life. Google’s Gemini AI now taps into vast amounts of real-world data, allowing for geospatial reasoning that can plot the most efficient routes or pinpoint the best supply locations in real-time. However, the potential for data breaches and privacy issues is a growing caveat that must be addressed.The impact of AI is also being felt in education and healthcare. USC researchers are using AI to map the brain’s largest communication pathway and automate the detection of cancer in blood samples. These advancements are not only improving diagnostics but also informing the development of next-generation bio-inspired AI.Thank you for tuning in. Remember to subscribe for more updates. This has been a quiet please production, for more check out quiet please dot ai.Some great Deals https://amzn.to/49SJ3QsFor more check out http://www.quietplease.aiThis content was created in partnership and with the help of Artificial Intelligence AI

Tech in sixty: Trends You Need Now. As we approach the end of 2025, artificial intelligence isn’t just a tech buzzword—it is rapidly weaving itself into the fabric of everyday life and work worldwide. Microsoft reports that AI adoption has outpaced the spread of the internet and smartphones, with over 1.2 billion people using AI tools in less than three years. However, four billion people are still disconnected from the digital infrastructure needed to harness AI’s benefits, highlighting a global gap for policymakers and companies to tackle.Gartner emphasizes the rise of agentic AI in its strategic technology trends for 2025. These are not just smart assistants—they are autonomous systems that manage complicated work, streamline projects, and interact with humans using natural language. This marks a shift in how organizations will operate, with AI becoming both a digital coworker and a force-multiplier for teams.Breakthroughs at the hardware level are making all this possible. Scientists at Tsinghua University recently built an optical processor that computes at the speed of light, promising AI with near-instantaneous performance. Meanwhile, Diraq’s silicon-based quantum chips and Caltech’s record-breaking quantum arrays are bringing previously theoretical advances within reach for real-world business and research applications.AI’s influence now extends from physical logistics to digital workflows. Google’s Gemini AI manages geospatial reasoning for optimizing routes and locations, processing massive real-time datasets across a quarter-billion buildings and sites. In the workplace, AI plugins in Excel and other office tools proactively flag anomalies, transforming software from passive to active advisors and elevating productivity.But this jump brings responsibilities. As AI weaves into health care, education, and business, privacy and ethics are firmly in the spotlight. Professionals warn that the boundary between automation and human oversight must be carefully managed so data security and societal values keep pace with technical innovation.From high-impact uses in healthcare—like wireless vision chips restoring sight, or AI predicting arthritis years in advance—to creative content generation for marketing and entertainment, artificial intelligence’s range continues to expand. As reported across industry forums and tech news outlets, AI is set to evolve from headline-grabbing demos to invisible yet essential infrastructure, quietly powering sector-specific leaps in efficiency, safety, and creativity.That’s your pulse on Tech in sixty: The trend is clear. AI is no longer just the next big thing. It’s the new norm. Thanks for tuning in, and don’t forget to subscribe. This has been a quiet please production, for more check out quiet please dot ai.Some great Deals https://amzn.to/49SJ3QsFor more check out http://www.quietplease.aiThis content was created in partnership and with the help of Artificial Intelligence AI

Listener, today’s tech landscape is moving faster than ever and November 2025 offers a snapshot of powerful shifts reshaping the digital world. The biggest story this week is AI’s leap from hype to infrastructure, underscored by Nvidia’s unprecedented $5 trillion market cap and rumors of OpenAI’s massive $1 trillion IPO. These landmark moments show how artificial intelligence is transitioning from futuristic promise to the backbone of global computing, powering everything from enterprise solutions to consumer gadgets.Major cloud providers, including Amazon, Microsoft, and Google, have ramped up investments into AI infrastructure with capital expenditures reaching record levels. Google Cloud, leveraging custom TPU chips and an open AI stack, is extending its dominance in enterprise AI, while Microsoft is rolling out Copilot AI across Windows 11 and Office 365, blending productivity with generative intelligence. Meta is not standing still, pouring billions into its ambitious superintelligence initiative as it strives to transform online advertising with smarter algorithms.For smartphone aficionados, the race for innovation continues. OnePlus 15 just launched in India, boasting a mammoth battery and ultra-fast charging technology, shaking up the flagship market. Budget buyers can now enjoy the transparent-designed Nothing Phone 3a Lite, while leaks about the upcoming Samsung Galaxy S26 hint at a revolutionary camera sensor that rivals human vision. Apple has its own buzz, with the iPhone 18 Pro tipped to come in fresh colors like burgundy and coffee, making tech fashion as much a story as tech function.AI breakthroughs in research are equally headline-worthy. October’s landmark discoveries include new “filter heads” in large language models that spontaneously learn to organize data—a leap toward greater transparency and modularity. Papers also explore “Oversight Games,” which mathematically ensure that human interests can stay secure as AI becomes more autonomous. Security remains a major concern, especially with new chain-of-thought hijacking attacks pushing researchers to design more robust safety mechanisms.At a global scale, the AI2 OlmoEarth initiative launched this week, offering open-source foundation models and infrastructure to tackle climate, environmental, and societal challenges through collaborative AI. This push for responsible and planet-scale AI reflects a broader trend, with technologies like digital banking, decentralized energy, and AI-driven diagnostics beginning to shape sectors from healthcare to finance.Quantum computing headlines add to the acceleration, with new chips and architectures achieving breakthrough speeds and scalability. The Tsinghua University optical processor can now compute at the speed of light, a development poised to redefine AI’s limits in both speed and efficiency.November’s packed calendar of science, technology conclaves, and AI summits is evidence that innovators and policymakers are shaping a digital economy that’s more interconnected, intelligent, and ethically aware than ever before. Whether it’s next-gen smartphones, AI that helps doctors see into the future of arthritis care, or advances in quantum and neuromorphic computing, listeners can be sure that tech’s impact is everywhere—improving lives, transforming industries, and setting new boundaries for what’s possible.Thanks for tuning in, and don’t forget to subscribe for more timely insights. This has been a Quiet Please production, for more check out quiet please dot ai.Some great Deals https://amzn.to/49SJ3QsFor more check out http://www.quietplease.aiThis content was created in partnership and with the help of Artificial Intelligence AI

Listeners, tech in sixty is here with the top trends you need to know right now. As of November 2025, artificial intelligence is absolutely dominating the tech agenda and this week’s headlines prove it’s not slowing down. Nvidia made waves by crossing a five trillion dollar market cap on the back of relentless AI chip demand, cementing its place as the backbone for everything from cloud infrastructure to generative AI. Speaking of generative intelligence, OpenAI’s rumored trillion dollar IPO is fueling even more Wall Street excitement, while Google Cloud has quietly become Alphabet’s fastest growing division, thanks to surging demand for its AI infrastructure and custom TPU chips. Microsoft is supercharging Windows 11 and Office 365 with generative Copilot AI, making productivity more conversational and context-aware than ever.But not everything is rosy — more than a hundred thousand tech jobs have been cut worldwide this year. Industry giants like Meta, Amazon, Google, and Intel are restructuring fast, pivoting toward AI-driven workflows in what insiders are calling the second automation wave. This shift signals a new era where efficiency and algorithms take center stage. Meanwhile, Apple is riding high — record iPhone 17 holiday sales are boosting shares despite ongoing supply chain challenges. Looking ahead, leaks about the iPhone 18 Pro hint at bold colors and next-gen hardware, while Samsung preps the Galaxy S26 with a camera rumored to rival the human eye.Over in semiconductors, the relentless appetite for AI power is driving what analysts call the “AI supercycle.” The global chip market is projected to reach nearly seven hundred billion dollars, with new advances like 2 nanometer production and HBM4 high-bandwidth memory coming online. Google, Amazon, and Microsoft are all turbocharging their clouds to keep up with AI training demands, and even exploring the idea of space-based data centers.Emerging trends this month include neuromorphic computing, which mimics the brain for huge energy gains, and the explosive rise of synthetic media and agentic AI. Digital banking and decentralized renewable energy are also making inroads, while wireless eye implants and AI X-rays are offering breakthroughs in healthcare access.Finally, the tech world converges this November with a packed global calendar: India’s science conclave, Microsoft TechCon, multiple cybersecurity and AI summits, and new gadgets like the OnePlus 15 with a massive battery and lightning-fast charging making debut appearances. According to experts polled by IEEE and leading consultancies like Bain & Company, AI will continue to set the pace well into 2026, reshaping business priorities, trade, and even how everyday devices work.Listeners, thanks for tuning in. Be sure to subscribe so you never miss the trends shaping your digital world. This has been a quiet please production, for more check out quiet please dot ai.Some great Deals https://amzn.to/49SJ3QsFor more check out http://www.quietplease.aiThis content was created in partnership and with the help of Artificial Intelligence AI

Tech in :60: Trends You Need NowTech is moving at breakneck speed as 2025 draws to a close, and the latest developments are shaping how listeners engage with digital experiences, devices, and AI in everyday life. One of the most significant advances comes from AWS, which just activated Project Rainier, now considered one of the world’s most powerful operational AI supercomputers. Built in collaboration with Anthropic, Project Rainier brings nearly half a million custom-designed Trainium2 chips online, delivering training muscle at scale for cutting-edge AI models. Anthropic is already using this infrastructure to speed up development of its well-known Claude models, and AWS plans for Rainier to scale past a million chips by the end of the year, enabling rapid AI prototyping across industries. Community events this week highlighted how developers are using these breakthroughs, from AI-powered IoT projects to next-generation retrieval-augmented search using Amazon Bedrock.Speaking of foundational model trends, the latest technology roundup from Omdia finds AI is now going beyond just being a product feature. New smartphones are integrating AI as a core part of the system, offering real-time personalized experiences instead of just voice assistance or offline background processing. This evolution unlocks proactive tools for productivity, adaptive user interfaces, and sensor-driven insights that respond dynamically to each listener’s context. Software-defined architectures are appearing everywhere from vehicles to smart factories, reducing costs and future-proofing devices by letting them evolve through downloadable features and cloud updates.NVIDIA’s $1 billion investment in Nokia this fall signals a deepening partnership to bring AI even closer to edge networking. At GTC Washington, the companies focused on scaling AI-powered Radio Access Networks, pushing boundaries for telecommunications performance and flexibility. These AI-enabled networks promise greater reliability and responsiveness, especially as 5G and edge computing grow crucial for smart cities and industrial automation.AI research is also breaking new ground in multimodal intelligence and safety. According to a recent summary of 17 breakthrough research papers, AI models are becoming more capable at real-time reasoning, personalizing outputs, and even knowing when to forget or adapt their knowledge on command. Developers are already applying these tools in collaborative healthcare systems, competitive programming, and dynamic IoT agents, all pointing to a future where AI acts as a trusted collaborator rather than just a productivity tool.Thanks for tuning in to Tech in :60. For more must-know insights, remember to subscribe. This has been a quiet please production, for more check out quiet please dot ai.Some great Deals https://amzn.to/49SJ3QsFor more check out http://www.quietplease.aiThis content was created in partnership and with the help of Artificial Intelligence AI

The pulse of tech as we step into November 2025 is nothing short of electrifying, with artificial intelligence setting the pace for global transformation. The most captivating news this week is the unveiling of Sora 2 by OpenAI, a cinematic-grade video and audio generation model that lets listeners insert their own voices and likenesses into AI-generated video. With the Sora iOS app eclipsing one million downloads in only five days, it’s clear that the appetite for creative AI tools has reached new heights. And this isn’t just entertainment—companies are leveraging these technologies to create bespoke training content, marketing assets, and dynamic educational materials.Enterprise-scale AI is evolving just as rapidly, with giants like Dell Technologies and NVIDIA investing in new AI Data Platform upgrades. These improvements are designed to streamline the process of model training and deployment, bringing enterprise AI closer to real-time adaptability. Meanwhile, Microsoft’s Copilot Studio 2025 Wave 2 empowers businesses to develop no-code AI agents and opens the door for more customized, modular AI solutions fully integrated with Microsoft 365 and Azure. Companies are moving beyond buying off-the-shelf AI: they’re building unique agent-driven tools that can handle anything from customer service to workflow automation overnight.Hyper-scale investment in the physical foundations of AI is also dominating tech headlines. Brookfield estimates that upwards of seven trillion dollars will be poured into AI factories, dedicated data centers, chip manufacturing, and fiber networks over the next decade. As artificial intelligence slashes the cost of computing and automates everything from finance to healthcare, demand for raw computing power is set to skyrocket rather than slow down—illustrating the classic Jevons Paradox where efficiency breeds even greater use.On Wall Street, institutional investors continue to rally around the AI infrastructure theme. McKinsey projects seven trillion dollars in data center investments over the next five years alone, a surge powered by the explosion of AI services. Companies like Bloom Energy, which provides rapid-deploy, onsite power solutions for new data hubs, are securing multi-billion dollar deals that illustrate how utilities and telecoms are converging with the AI future.Robotics and physical AI aren’t far behind. Amazon is deploying smart warehouse robots trained on massive data sets, which adapt and improve through machine learning rather than rigid programming. This collaborative model promises faster orders and smarter logistics, but raises ongoing questions about workforce reskilling and ethical integration.The week’s news also highlights breakthroughs that push the boundaries of scientific discovery. NASA, for instance, is using AI for sub-micron recalibration of the Hubble Space Telescope, unlocking sharper images and accelerating stellar research. With similar algorithms restoring the vision of the James Webb Space Telescope, AI is now not only interpreting cosmic mysteries but also actively maintaining the telescopes that discover them.Tech in :60 listeners are watching as AI shifts from a trend to infrastructure—reshaping everything from Hollywood to Wall Street, classroom to cosmos, and warehouse to operating room. Thanks for tuning in, and don’t forget to hit subscribe. This has been a quiet please production, for more check out quiet please dot ai.Some great Deals https://amzn.to/49SJ3QsFor more check out http://www.quietplease.aiThis content was created in partnership and with the help of Artificial Intelligence AI

Tech in sixty seconds is shaping up to be more dynamic than ever. As listeners dial in for the trends you need now, the big story heading into late October 2025 is the relentless pace of artificial intelligence breakthroughs. Leading journalists from The Next Innovation roundtable, including Rachel Mets at Bloomberg and Adam Rogers at Business Insider, emphasize that AI continues its rapid evolution. This year, expect AI tools that do more than respond—they’re beginning to act autonomously, transforming everything from marketing to supply chain management. A prime example is the rise of specialized agents that can tackle multi-step business processes independently. Companies are deploying teams of digital workers, taking hyper-automation mainstream.Rachel Mets highlights the shifting power dynamics as major players like Microsoft pour billions into AI infrastructure, noting how the lines blur between what counts as useful innovation and what is simply hype. Adam Rogers draws attention to areas like AI-driven safety, with startups like Cameroatics integrating intelligent cameras for collision avoidance and driver monitoring. Autonomous vehicles are gaining traction in cities like San Francisco, but still depend on remote operators and human safety checks, showing both promise and limits.Zooming out, Get AI Updates calls 2025 the year of “multi-modal” models. Flagship systems from OpenAI and Google process text, images, audio—even entire documents or code—all at once. For businesses, this means you can feed an audio clip, spreadsheet, and sketch into a single AI and receive a comprehensive analytical report. Enhanced reasoning and vast context windows—imagine processing an entire book in one go—are making these models indispensable for competitive analysis and strategic planning.Hyper-automation is not just a buzzword but a reality. SaaS startups like CloudFlow, highlighted by Get AI Updates, report a 40% reduction in customer onboarding time through AI agents that automate data collection, tutorial creation, and real-time support. This translates to higher customer satisfaction and frees human staff for more nuanced tasks.In parallel, innovators are changing industries. Nexus AI in San Francisco is pioneering Causal AI for marketers seeking clear returns on ad spend. Ethical AI Inc. in Montreal is fighting algorithmic bias, seeing soaring interest as new global AI regulations kick in—especially after the EU AI Act. London’s Symphony Generative Audio is crafting bespoke soundtracks for videos, showing how AI is mastering emotion in media.The conversation also touches on sustainability. As powerful models like Nvidia’s H100 chips drive machine learning, the environmental impact of data centers and infrastructure is under scrutiny. Balancing innovation with responsible tech use is now front and center for industry leaders. Looking ahead to 2026 and beyond, embodied AI and neuro-symbolic systems are emerging. Expect robots and virtual agents to learn through interaction, not just massive data crunching, while hybrid AI models marry pattern recognition with logical reasoning to address common sense challenges.These trends are reshaping how listeners relate to technology—they’re no longer just users but orchestrators, leveraging AI across every medium and workflow. Thanks for tuning in and be sure to subscribe so you never miss a tech trend in sixty seconds. This has been a quiet please production, for more check out quiet please dot ai.Some great Deals https://amzn.to/49SJ3QsFor more check out http://www.quietplease.aiThis content was created in partnership and with the help of Artificial Intelligence AI

Welcome back to Tech in 60, where listeners get the critical tech news, trends, and breakthroughs shaping the world right now. October 2025 has delivered major shifts you need to know, driven by artificial intelligence, new hardware, and architectural rethinks that are impacting everything from healthcare to small business, data centers, and the way teams build digital products.Generative AI has taken a dramatic leap this month. Multiple companies announced new models capable of running on 60 billion parameters, performing real-time text, image, video, audio and code generation in less than 100 milliseconds per query—bringing instant AI creativity to work and life. These advances go beyond chatbots. The latest systems are multi-modal, fusing different data types and fine-tuning on just a few hundred examples. That means personal assistants and content creation tools can now operate at unprecedented speed and personalization, even on smaller devices. With energy-efficient architectures cutting power use by 40% over last year, generative models are opening AI to startups and edge devices that previously couldn’t afford the scale.October also saw China’s DeepSeek introduce the R1 model, claiming training costs 70% lower than major US competitors like OpenAI and Anthropic. This signals fierce global competition and new cost efficiencies in AI deployment. Meanwhile, Microsoft shifted focus by launching its own proprietary models—MAI-Voice-1 and MAI-1 Preview—which create a minute of audio in one second and offer new foundational language capabilities. Microsoft’s pivot away from exclusively relying on OpenAI reflects a broader trend: companies want their own tailored AI stacks for speed, privacy, and differentiation.Listeners in healthcare should note several recent breakthroughs. Transformer-based AI systems can now predict the progression and timing of over a thousand diseases using detailed patient backgrounds, revolutionizing proactive care and planning. Another team debuted AI-powered cardiac imaging, embedding tiny cameras in catheters to visualize arterial blockages missed by traditional scans—potentially transforming heart attack prevention.The story in infrastructure is equally striking. Cloud spend soared, with quarterly investment hitting nearly $100 billion globally. AI-powered workloads now demand elastic capacity, GPU allocation, and modular design patterns. Security teams are moving “shift-left,” guarding against a 188% year-over-year spike in malicious software packages by focusing on the supply chain and defaulting to signature verification. Edge computing and serverless design for streaming and social apps have never been more critical, as DDoS attacks set new records and user expectations for latency remain high.Agentic and autonomous AI systems are quickly moving past experimentation, with fully autonomous vehicles taking to city streets and adaptive robotic agents learning new tasks within hours. These systems promise rapid productivity gains across industries, from fintech, where PostgreSQL remains king, to small businesses using AI for streamlined client services and operations.Enterprise AI adoption is now mainstream, with over half of workplace leaders in the Americas and Europe using these technologies. Existing AI tools could automate up to 70% of work activities, liberating employees for more creative and strategic roles. AI-generated vertical solutions are gaining ground, especially in healthcare and retail, delivering tailored insights and automation. Tech giants are investing in dedicated AI data centers and renewable energy deals to meet ever-growing compute and electricity needs—a move that could have economic impacts as data center energy use climbs.This month all signs point toward smarter, more adaptive AI deployed everywhere—underpinned by modular architectures, agentic systems, and a deliberate push toward security, efficiency, and meaningful collaboration between humans and machines.Thank you for tuning in to Tech in 60. Subscribe for your next update on the innovations shaping tomorrow. This has been a quiet please production, for more check out quiet please dot ai.Some great Deals https://amzn.to/49SJ3QsFor more check out http://www.quietplease.aiThis content was created in partnership and with the help of Artificial Intelligence AI

In the fast-paced world of tech, 2025 is shaping up to be a defining year. One of the most significant trends is the rise of AI, particularly with models like OpenAI's GPT-5 and Google's Gemini 2.5. These models not only offer deep reasoning capabilities but also integrate multiple forms of media, such as text and images, to create rich content experiences. For instance, GPT-5 can analyze thousands of pages of data and perform real-time problem-solving, making it a powerhouse for tasks like SEO strategy and educational tutoring.Another critical area is agentic AI, which moves beyond traditional AI by acting independently and performing real-world tasks. This includes automating business processes and managing SEO content pipelines, making it a game-changer for companies looking to streamline operations.In the realm of consumer tech, innovations like non-toxic air fryers and carbon-plated running shoes are gaining traction. Non-toxic air fryers use materials that minimize chemical exposure, appealing to health-conscious consumers. Meanwhile, carbon-plated running shoes enhance performance with improved energy return, targeting competitive runners.The semiconductor industry is also witnessing significant advancements, with AI chips and quantum computing leading the charge. AI chips are crucial for supporting complex computing tasks across devices, while quantum computing accelerates AI model training, promising faster and more efficient AI tools.Lastly, smart home technology is evolving with devices like Shelly's Gen4 series, offering multi-protocol support and wide compatibility with smart home platforms. These innovations are making AI technology more accessible and user-friendly, transforming how we live and work.Thank you for tuning in. Be sure to subscribe for the latest tech updates. This has been a Quiet Please production, for more check out quietplease.ai.Some great Deals https://amzn.to/49SJ3QsFor more check out http://www.quietplease.aiThis content was created in partnership and with the help of Artificial Intelligence AI

In tech news this week, the AI revolution is accelerating at every level, fundamentally reshaping how listeners work, live, and innovate. One of the most impactful trends for 2025 is the rapid mainstream adoption of agentic AI, as highlighted in the latest McKinsey Technology Trends Outlook. These are sophisticated systems now working as virtual colleagues, not just tools, capable of carrying out complex tasks, making independent decisions, and enabling smarter business operations across industries. CEOs and tech leaders face a new imperative: adapt to this agentic age, designing workflows where autonomous AI agents add value, but also implementing robust governance to address ethical and security concerns. Entire sectors, from manufacturing to healthcare, are already feeling the shifts as agentic AI starts transforming value chains and creating new opportunities.Cutting-edge advances in computer vision are fueling a parallel revolution. According to the recent "AI Frontiers" synthesis published just last week, AI now interprets medical images beyond human expertise, detecting subtle signs of cancer and accelerating research through GPU-powered bioimaging. New generative models conjure up 3D worlds from a single photograph, and robust systems withstand unpredictable, real-world data, pushing the boundaries of what AI can “see.” Multimodal large language models like those in the “Bee” suite seamlessly integrate vision, text, and sound, promising real-world impact in everything from autonomous vehicles to next-gen creative tools.Underpinning this software leap is a hardware breakthrough. According to TokenRing AI’s latest analysis and coverage by industry insiders, chipmakers are rolling out groundbreaking 2-nanometer technology. This leap enables the training of even larger and more energy-efficient AI models. TSMC and Intel are in a race to mass-produce these chips, leveraging advanced nanosheet transistors and high-bandwidth memory to smash previous limitations. The end result is faster, more powerful, and greener AI in the cloud and on devices, further democratizing access to advanced technology while also raising questions about supply chain concentration and cost.Meanwhile, companies like Google are harnessing AI to evolve scientific software, using algorithms that iterate and improve programs based on feedback from academic literature and real-world benchmarks. The resulting tools aren’t just faster—in some cases, they’re outperforming previously state-of-the-art approaches, driving new breakthroughs in research and industry.All these trends point to a world where AI’s potential is limited only by imagination and responsible stewardship. Thanks for tuning in to Tech in 60: Trends You Need Now. Don’t forget to subscribe for next week’s essentials. This has been a quiet please production, for more check out quiet please dot ai.Some great Deals https://amzn.to/49SJ3QsFor more check out http://www.quietplease.aiThis content was created in partnership and with the help of Artificial Intelligence AI

In 2025, technology is unfolding at an unprecedented pace. Artificial intelligence (AI) is driving a revolution in computer vision, with advancements in real-time processing and visualization. This has enabled groundbreaking applications in medical imaging, such as better laryngeal cancer staging, and enhanced video understanding and segmentation capabilities.The semiconductor industry is experiencing a boom, largely due to the increasing demand for AI-driven chips. Companies like TSMC are at the forefront, with significant investments in advanced chip designs and AI integration. This integration has not only accelerated chip development but also improved manufacturing efficiency, positioning the global semiconductor market for substantial growth.In cybersecurity, threats are evolving, with AI-enhanced attacks becoming more sophisticated. Ransomware incidents have seen a 12% increase, with attackers leveraging social engineering tactics to gain unauthorized access. Meanwhile, nation-state actors are intensifying their cyber espionage efforts, targeting critical infrastructure and telecommunications.Meanwhile, in space technology, advancements in autonomous systems are reshaping exploration and resource utilization. Humanoid robots are also making strides, with companies like Google DeepMind pioneering adaptive robots that can understand and act upon natural language commands.As technology continues to evolve rapidly, staying informed about these trends is crucial for understanding the future of tech. Thank you for tuning in. Remember to subscribe for more updates on the latest technology trends. This has been a quiet please production, for more check out quiet please dot ai.Some great Deals https://amzn.to/49SJ3QsFor more check out http://www.quietplease.aiThis content was created in partnership and with the help of Artificial Intelligence AI