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Anonymous
Asked: 01/09/2025In: , ,

Trackers and Smart Beds Actually Cure ...

digital healthtechnology
  1. Anonymous
    Anonymous

    The Fascination of Technology-Supported Sleep The allure of sleep is captivating. We devote a third of our lives to sleeping, yet most of us do not know what aids or impedes sleep. The promise of sleep trackers and smart beds offers their appeal by: Monitoring phases of sleep (light, deep, REM). DetRead more

    The Fascination of Technology-Supported Sleep

    The allure of sleep is captivating. We devote a third of our lives to sleeping, yet most of us do not know what aids or impedes sleep. The promise of sleep trackers and smart beds offers their appeal by:

    • Monitoring phases of sleep (light, deep, REM).
    • Determining heart rate, oxygen levels, and motion during sleep to discern restlessness.
    • Modifying the surroundings—cooling the mattress, dimming lights, and lessening sound.
    • Coaching and feedback so you can identify and change your behavioral patterns.

    The idea of information and data and what it can do, especially to chronic insomnia, is like magic. It is as though we are saying, if we can measure sleep, we can Sleep, it. soothe it.

    The Expected Advantages

    • The change, sleep trackers create is impressive – a person, their habits or routines, along with the sleep schedule, are so irregular, that it is astonishing.
    • Active control – smart beds can do something about overheating, partner disturbances, or poor support, which, in turn, is a straight relation to sleep quality.
    • Behavior change – Reminding an individual to wind down, keep a routine like bedtime, limit or avoid caffeine before sleeping, can ‘gradually.
    • Standing out due to – Some devices flag possible sleep apnea, irregular heartbeats with an undisclosed sleep pattern, or other ignored conditions.
    • In this sense, sleep optimization technology doesn’t just bring comfort; it may also help enhance preventive health.

    Where the Hype Outpaces Reality

    But the reality is this: insomnia is more complex than discomfort from a poor mattress or inappropriate room temperature. There is also stress, anxiety, lifestyle, mental health, and none of these can be resolved by a gadget.

    • Accuracy concerns: There is a loss of usability sleep tracking machines; they are great for tracking, but not for diagnosis.
    • Sleep anxiety: In this instance, tracking sleep becomes counterproductive. “4 hours of deep sleep, I am doomed tomorrow.” This phenomenon is called orthosomnia.
    • While gadgets may improve comfort, they do not resolve the chronic insomnia triggers like racing thoughts and irregular routines.
    • Cost barrier: Devices and smart beds run into the thousands; the discomfort is not justified if the improvements are minimal.

    The Other Side of Sleep Technology

    The most interesting aspect of this issue is how uniquely human our challenges with sleep are. For hundreds of years, sleep was just…sleep. A biological function synchronized with the cycle of dawn and dusk. Today, the simplicity of sleep is being shattered by shift night work, the sending of emails, nagging and never-ending notifications, and the electronic devices that artificially light the night.

    In that regard, sleep technology is more than science. It is an attempt to recover something that, as a society, feels is lost. It is our conviction that if life has been reduced to a set of measurable and tracked activities that are engineered to yield the highest output, then sleep, too, has the opportunity to be engineered.

    The Other Side of Sleep Technology

    • So, do sleep optimization features have the capacity to cure insomnia? The truthful answer is no, not in part.
    • They are able to alleviate some sleep problems by increasing comfort and providing information.
    • They are able to cultivate awareness around sleep disrupting lifestyle choices.
    • But more than that, they cannot substitute: relaxation, set schedules, a digital shutdown for a set time before sleep, and sometimes, sleep therapy (CBT-I is considered the elite for insomnia).

    In other words, sleep technology can be part of the solution but it definitely cannot be the only one, as the saying goes ‘the one that will save you.’

    Conclusions

    Sleep optimization systems showcase an attempt to tackle an ancient need with contemporary resources. Their efficacy in “curing” insomnia may be highly questionable, but they will assist in shifting behaviors, improvement in the quality of surroundings, and help in understanding the factors that inhibit sleep.

    Perhaps the answer lies in the absence of the devices themselves. Rather it lies in the ability of the devices to help individuals take things easy, respect biological cycles, and understand the importance of packing rest in the routine.

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daniyasiddiquiEditor’s Choice
Asked: 01/09/2025In: , ,

democratize machine learning or  intr ...

aitechnology
  1. daniyasiddiqui
    daniyasiddiqui Editor’s Choice

    The Hope Behind Decentralization Throughout most of AI history, its dominance has been guarded by a number of tech elitists companies. Owning the servers, data, and the expertise to train massive models, these AI companies monopolized the industry. For small businesses, individuals, or even academicRead more

    The Hope Behind Decentralization

    Throughout most of AI history, its dominance has been guarded by a number of tech elitists companies. Owning the servers, data, and the expertise to train massive models, these AI companies monopolized the industry. For small businesses, individuals, or even academic institutions, the cost of entry is prohibitively expensive.

    Decentralized AI modes serves as a potential breakthrough. Rather than having central servers, models, and data sets, they use distributed networks, where individuals, organizations, and communities can all provide computing power and data. The goal is to remove corporate dominance by placing the AI in the hands of the general public.

    The Practical Side of Democratization

    Should decentralized AI become a reality, the above scenarios are likely to play out:

    • Community-driven AI models: Picture rural farmers training AI to predict the most suitable crops to plant by analyzing local soil data and weather patterns.
    • Localized representation: Smaller AI developers can build decentralized models tailored to specific languages, cultures, and community customs, as opposed to the global one-size-fits-all models.
    • Improved funding opportunities: Young developers will no longer be required to source billions in funding in order to build a decentralized AI.
    • Shared benefits: Rather than the profits being confined to a handful of companies, value might be allocated to all the participants.

    In this scenario, AI stops being just another product to be purchased from the Big Tech and starts becoming a commons that we all collaboratively construct.

    The Shadows, However, Are Full of Risks

    The vision is beautiful; however, decentralization is not a panacea. It has its problems:

    • Quality control: The absence of a central authority makes it very difficult to figure out how we can ascertain that the models are accurate, unbiased, and don’t pose safety risks.
    • Malicious use: The flip side of unrestricted access is that it also allows malevolent individuals to construct dangerous models; models designed for disinformation, hacking, and even use in weapons systems.
    • Privacy issues: The dismantling of a centralized network poses a huge risk in that sensitive data might be vulnerable unless the security is automatically uniform and very robust.
    • Accountability gaps: Who is to blame in a decentralized structure if an AI system makes a harmful decision? the developers, the contributors, or the entire network?

    To put it differently, while centralization runs the risk of a monopoly, decentralization runs the risk of disorder and abuse.

    The Balance is Needed

    Finding a solution for this might not necessitate an all or nothing answer. It may be that the best model is some form of compromise. A hybrid structure which fosters participation, diversity, and innovation, but is not held to a high standard of ethical control and open management.

    This way, both extremes are avoided:
    The corporate AI monopoly problem.
    The relapsed anarchy problem of full, unregulated decentralization.

    The People Principle

    More than just a technology, this discussion is also about trust. Do we trust that a small number of powerful organizations will be responsible enough to guide AI development, or do we trust the open collaborations, with all its risk? History tells us that both extremes of power concentration and unregulated openness tend to let us down. The only question that remains is whether we have the ability to develop the necessary culture and values to enough make decentralized AI a benefit to all, and not a privilege to a few.

    Final Comment

    “AI and Machine Learning are powerful technologies that could empower people with unprecedented control and autonomy over their lives. However, they also possess the ability to unleash chaos. The impact of these technologies will not be determined by their existence alone, but rather by the frameworks that are put in place in relation to them concerning responsibility, transparency, and governance.

    Decentralization, if done correctly, has the potential to be more than just a technological restructuring of society. It could also be a transformative shift in social structure, changing the people who control the access to information in the age of technology.”

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daniyasiddiquiEditor’s Choice
Asked: 01/09/2025In: ,

emotional intelligence ever cross the ...

aitechnology
  1. daniyasiddiqui
    daniyasiddiqui Editor’s Choice

    The Affects of Emotional AI When interacting with machines, concerns tend to focus on effectiveness. People want a reminder or suggestion and would like to have it provided efficiently. However, the other side of the dream would be machines responding to people in a more sensitive way, such as an AIRead more

    The Affects of Emotional AI

    When interacting with machines, concerns tend to focus on effectiveness. People want a reminder or suggestion and would like to have it provided efficiently. However, the other side of the dream would be machines responding to people in a more sensitive way, such as an AI that when a person is anxious calms them, praises when they achieve something, or for that matter, recognizes the realist of a person even when it not conscious on their part. The more complexity to this vision is the AI, would have the capacity to empathize with the person or it would be an imitation of that?

    AI Ability

    Understanding the modern AI, it is able to interpret and distinguish emotions through tone of voice, facial expression, or even the sentiment of a text. For example:

    • AI in customer service is able to identify the aggravation in a caller and as a result, the AI routes the call to a person.
    • There are chatbots who identify themselves as a therapist who, to some degree, pulls themselves out of their struggles to be able to offer consolation.
    • Companionship AI’s are able to mimic the tone that a person would use to speak to them.

    AI’s that possess such capabilities are, in a sense, able to exhibit such human abilities. However, they are an AI pattern in the sense that there is no actual emotion from the AI.

    The Difference between Mimicry and Empathy

    When it comes head to another being, the empathic ability in people is what attachment and emotional bonding is felt.

    Machines do not have feelings other than simulating them. With that being said, there is no emotional connection to “I’m sorry you are going through this,” other than a robotic response to something caring.

    The deeper question is: does the difference matter? If a person feels comforted and supported or less alone because of AI, is there no empathy being applied?

    Humans face certain risks when adopting the belief in the illusion.

    • In many aspects, emotionally intelligent AI is beneficial, such as in mental health, caring for the elderly, or in education, but the risks are worrisome:
    • Emotional dependency: AI “friends” are unable to reciprocate, which leaves users in emotional bonds that are unbalanced.
    • Exploitation: Biased decisions made by users are disguised as manipulation, which an AI utilized shopping assistant could do to users.
    • Encapsulation: Users may replace actual reality with a simulated depiction.

    It is like seeing an actor crying on stage. While their display may evoke an emotional response, we all realize at the end of the day, there is no actual suffering. With AI, there is the potential to forget all of that, which isn’t a good thing.

    Do AI have feelings is the question?

    Some scientists argue that in the more advanced evolutionary stages of AI, empathy will be exhibited when the require sentience.

    Emotions are indeed part of the human condition because they pertain to biology and life experience, and biological vulnerability is the linchpin of existence. At what level the technology is now, AI does not feel and only responds.

    But here comes the twist; if to empathize is to empathize as to effect (how one feels after an action is done) and not as to cause (why an action is expressed), then perhaps AI does not need to feel to “be sufficiently empathetic.”

    The Middle Ground: Augmented Empathy

    • Perhaps the true potential of emotional AI is not to replace human empathy, but to augment it. For example:
    • An educator using AI to understand particular concept students are struggling with.
    • A physician with AI that knows the moment to intervene, and is able to detect, and mitigate, poor prognostic chances of anxiety that may not be apparent until much later.
    • An isolated person able to connect with an AI does not dispense with the obligation to attempt to connect with others.
    • AI is not overstepping boundaries; it is facilitating the appreciation and attainment of greater levels of empathic concern.

    Final Thought

    An example of emotional intelligent AI will never “feel empathy” as human beings do, and also, no matter how convincing it will likely be. But that does not mean it has no meaning. Emotional AI, if designed in intelligent ways, may serve also as a mirror, and a bridge, and a base that enables feeling of being cared for and listened to.

    The answer is not in whether AI can feel. What may base our utopia is how we choose to apply the artificial phenomenon it emulates.

    Will it help us strengthen connections with people, or replace them and leave us lonelier?

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daniyasiddiquiEditor’s Choice
Asked: 01/09/2025In: ,

AR/VR the next leap for human–machine ...

aitechnology
  1. daniyasiddiqui
    daniyasiddiqui Editor’s Choice

    The Shift from Screens to Experiences For decades, we have been interacting with machines through screens and keyboards. While smartphones and smart assistants added some convenience, we still remained tethered to 2D surfaces. Immersive AI promises something much more natural – the experience whereRead more

    The Shift from Screens to Experiences


    For decades, we have been interacting with machines through screens and keyboards.     While smartphones and smart assistants added some convenience, we still remained tethered to 2D surfaces. Immersive AI promises something much more natural – the experience where digital and physical truly blend. We might not be observing technology anymore; we might actually be living in it.


    How Immersive AI Modes Work

    Immersive AI in AR/VR is more than putting on a headset. It’s about creating an intelligent environment that interacts with us in real time. Imagine this:

    An AI tutor in a VR Rome simulation to answer questions.

    An AR health coach appraising your posture as you exercise and gently correcting you in your living room.

    A virtual colleague cohabiting a 3D space, brainstorm ideas.

    It’s called interaction.


    Why It Feels Like the “Next Leap”


    The distinguishing factor of immersive AI is its ability to target multiple senses and contexts simultaneously.     It is about looking, gesturing, moving in space and conveying feelings. This causes:

    Students retain more when they “experience” rather than just reading (deeper learning).

    Remote teams feel like they are in the same room.

    Personalized engagement (AI can adapt in real-time to your behavior and needs).

    In short, the machine is no longer merely a tool on your desk; it has become part of your environment.


    The Human Side: Excitement and Fears


    As with every leap, there are mixed emotions.     Many people see immersive AI as liberating: an opportunity to work smarter, learn faster and connect better. But others worry about:

    Addiction and Escapism: Will People Prefer AI Virtual Worlds to the Real One?

    – Privacy risks: Immersive AI analyzes biometrics like eye movements, gestures, and even emotions.

    Inequality: High-end AR/VR solutions may create a gap between those who have access to this technology and those who do not.

    Thus, while the leap is exhilarating, it also demands a sense of responsibility.


    The Future We’re Stepping Into


    It’s also very likely that immersive AI will coexist with traditional modes rather than replace them completely.     Just as we still use books alongside the internet, we would still type and tap, and merely add an AI immersion layer when appropriate.

    In the next decade, we may be living in a world where classrooms have no walls, meetings have no borders and therapies have no limits.


    Final Thought


    Yes, immersive AI in AR/VR has all the makings of the next leap in human–machine interaction.     But whether it will be a leap forward for humanity or just another gimmicky distraction depends on how well we design and regulate it.

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daniyasiddiquiEditor’s Choice
Asked: 01/09/2025In: ,

learn, work, and create, or just make ...

aitechnology
  1. daniyasiddiqui
    daniyasiddiqui Editor’s Choice

    The Future of AI Co-Pilot Modes   Consider it as a useful friend by your side. Perhaps it's an AI that deconstructs a difficult math equation into smaller steps or presents fresh approaches to writing an essay. To business executives, it could be writing an email, condensing a 50-page report, oRead more

    The Future of AI Co-Pilot Modes

     

    Consider it as a useful friend by your side. Perhaps it’s an AI that deconstructs a difficult math equation into smaller steps or presents fresh approaches to writing an essay. To business executives, it could be writing an email, condensing a 50-page report, or generating ideas for marketing campaigns. It can help an artist with painting or designing and assist in writing a tune.

    In all these situations, the co-pilot does not need to act. It liberates the mind to attend to greater things. That’s the objective: AI co-pilots liberate mental effort and time so that learning, working and creating is much simpler.


    The Threat of Over-Dependence


    But there is a catch.     The more we are dependent on AI, the less practice we will have for being able to do things on our own. If a student utilizes their co-pilot to define difficult ideas instead of trying to learn them on their own, they won’t develop academically as much as they might. If an employee always has AI generate reports rather than doing it himself, his writing ability will deteriorate. And if a creator is consistently basing themselves on AI ideas, they may lose their creative voice.

    It is not just forgetting but also trusting. Do we get so used to accepting AI’s response at face value even when it’s incorrect? If we always go to the co-pilot first and last, we lose critical thinking, curiosity and the pleasure of “doing it ourselves.”


    Finding the Middle Ground

     

    The most effective way to view AI co-pilot modes is as a helper, not a substitute. Just as the calculator did not make math obsolete and the spellcheck did not assassinate writing, co-pilots will only shift where we spend our time. The trick is to employ them well—to offload mundane tasks while retaining interest in the things that count.

    It’s not dependency, it’s balance. We must create a culture where AI is employed as an accelerator, not an autopilot. It means demonstrating how to pose better questions, scrutinize outputs, and leverage AI as a springboard for their original work.


    Human Factor


    In the end, what makes learning, working and creating meaningful is the process, not just the outcome.     Struggling through a lesson, drafting and revising an idea, or being inspired in the middle of the night are all a part of the human experience. An AI co-pilot can assist, but it cannot replace the satisfaction derived from the hard work.

    So, will these modes of learning transform us? Yes. Whether they will make us more able or more needy will depend not on the tools themselves but on how we choose to use them.

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daniyasiddiquiEditor’s Choice
Asked: 31/08/2025In: , ,

the new form of vacations

digital healthtechnology
  1. daniyasiddiqui
    daniyasiddiqui Editor’s Choice

     How Digital Detox Retreats Became a Thing In the world now, our phones, laptops, and notifications seem to be a part of us. Midnight emails from work, Instagram reels sucking us in for hours on end, and even breaks as just photo opportunities for social media instead of actual rest. It has bred anRead more

     How Digital Detox Retreats Became a Thing

    In the world now, our phones, laptops, and notifications seem to be a part of us. Midnight emails from work, Instagram reels sucking us in for hours on end, and even breaks as just photo opportunities for social media instead of actual rest. It has bred an increasing appetite for areas where individuals can log off to log back in—to themselves, to nature, and to one another.

    Digital detox retreats are constructed precisely on that premise. They are destinations—whether they’re hidden in the hills, secluded by the sea, or even in eco-villages—where phones are left behind, Wi-Fi is terminated, and life slows down. Rather than scrolling, individuals are encouraged to hike, meditate, journal, cook, or just sit in stillness without the sense of constant stimulation.

     Why People Are Seeking Them Out

    Mental Health Relief – Prolonged screen exposure has been connected to anxiety, stress, and burnout. A retreat allows individuals to escape screens without guilt.

    Sobering Human Connection – In the absence of phones, individuals tend to have more meaningful conversations, laugh more honestly, and feel more present with the people around them.

    Reclaiming Attention – Most find that they feel clearer in their minds, more creative, and calmer when not drowning in incessant notifications.

    Reconnecting with Nature – Retreats are usually held in peaceful outdoor locations, making participants aware of the beauty and tranquility beyond digital screens.

     Could They Become the “New Vacations”?

    It’s possible. Classic vacations often aren’t really breaks any longer—most of us still bring work along with us, post everything on social media, or even feel obligated to document every second. A digital detox retreat provides something different: the right to do nothing, be unavailable, and live in the moment.

    Yet it may not take the place of all holidays. Others travel for adventure, indulgence, culture, or entertainment, and they may not necessarily wish to cut themselves off from it all. Detox retreats may instead become an increasingly popular alternative vacation trend, just as wellness retreats, yoga holidays, or silent meditation breaks have.

    We may even find hybrid concepts—resorts with “tech-free zones,” or cities with quiet, phone-free wellness districts. For exhausted professionals and youth sick of digital overload, these getaways can become a trend, even a prerequisite, in the coming decade.

     The Human Side of It

    At its core, this isn’t about hanging up the phone—it’s about craving balance. Technology is amazing, but people are catching on that being connected all the time doesn’t necessarily mean being happy. Sometimes the best restorative moments occur when you’re sitting beneath a tree, listening to the breeze, and knowing that nobody can find you for a bit.

    And so, while digital detox retreats won’t displace vacations, they might well reframe what is meant by a “real break” for the contemporary traveler.

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daniyasiddiquiEditor’s Choice
Asked: 31/08/2025In: ,

LLMs truly reason or are they just pa ...

aitechnology
  1. daniyasiddiqui
    daniyasiddiqui Editor’s Choice

    What LLMs Actually Do At their core, LLMs like GPT-4, GPT-4o, Claude, or Gemini are predictive models. They are shown a sample input prompt and generate what is most likely to come next based on what they learned from their training corpus. They've read billions of words' worth of books, websites, cRead more

    What LLMs Actually Do

    At their core, LLMs like GPT-4, GPT-4o, Claude, or Gemini are predictive models. They are shown a sample input prompt and generate what is most likely to come next based on what they learned from their training corpus. They’ve read billions of words’ worth of books, websites, codebases, etc., and learned the patterns in language, the logic, and even a little bit of world knowledge.

    So yes, basically, they are pattern matchers. It’s not a bad thing. The depth of patterns that they’ve been taught is impressive. They can:

    • Solve logic puzzles
    • Do chain-of-thought mathematics
    • Generate functional code
    • Abstract dense legal text
    • Argue both sides of a debate
    • Even fake emotional tone convincingly
    • But is this really “reasoning,” or just very good imitation?

     Where They Seem to Reason

    If you give an LLM a multi-step problem—like doing math on a word problem or fixing some code—it generally gets it correct. Not only that, it generally describes its process in a logical manner, even invoking formal logic or rule citations

    This is very similar to reasoning. And some AI researchers contend:

    If an AI system produces useful, reliable output through logic-like operations, whether it “feels” reasoning from the inside out is it even an issue?

    • To many, the bottom line is behavior.
    • But There Are Limits
    • Even though they’re so talented, LLMs:

    Have trouble being consistent – They may contradict themselves in lengthy responses.

    Can hallucinate – Fabricating facts or logic that “sounds” plausible but isn’t there.

    Lack genuine understanding – They lack a world model or internal self-model.

    Don’t know when they don’t know – They can convincingly offer drivel.

    So while they can fake reasoning pretty convincingly, they have a tendency to get it wrong in subtle but important ways that an actual reasoning system probably wouldn’t.

     Middle Ground Emerges

    The most advanced reply could be:

    • LLMs are not human-like reasoning, but they’re generating emergent reason-like behavior.

    Which is to say that:

    • The system was never explicitly trained to reason.
    • But due to scale and training, reason-like behaviors emerge.
    • It’s not mere memorization—it’s abstraction and generalization.

    For example:

    GPT-4o can reason through new logic puzzles it has never seen before.

    By applying means like chain-of-thought prompting or tool use, LLMs can break down issues and tap into external systems of reasoning to extend their own abilities.

     Humanizing the Answer

    Imagine you’re talking to a very smart parrot that has read every book written and is able to communicate in your language. At first, it seems like they’re just imitating voice. Then the parrot starts to reason, give advice, abstract papers, and even help you debug your program.

    Eventually, you’d no longer be asking yourself “Is this mimicry?” but “How far can we go?”

    That’s where we are with LLMs. They don’t think the way we do. They don’t feel their way through the world. But their ability to deliver rational outcomes is real enough to be useful—and, too often, better than what an awful lot of humans can muster under pressure.

     Final Thought So,

    • are LLMs just pattern matchers?
    • Yes. But maybe that’s all reasoning has ever been.

    If reasoning is something which you are able to do once you’ve seen enough patterns and learned how to use them in a helpful manner. well, maybe LLMs have cracked the surface of it.

    We’re not witnessing artificial consciousness—but we’re witnessing artificial cognition. And that’s important.

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daniyasiddiquiEditor’s Choice
Asked: 30/08/2025In: ,

AI-generated content

aitechnology
  1. daniyasiddiqui
    daniyasiddiqui Editor’s Choice

     What Do We Mean by "Creative"? Before we put words in our mouth, let us stop and ask: what is creativity? To human beings, it is most widely understood as the fusion of imagination, feeling, and lived experience to create something new and meaningful — a poem, a painting, a song, or maybe even a scRead more

     What Do We Mean by “Creative”?

    Before we put words in our mouth, let us stop and ask: what is creativity? To human beings, it is most widely understood as the fusion of imagination, feeling, and lived experience to create something new and meaningful — a poem, a painting, a song, or maybe even a scientific discovery.

    AI-generated content, meanwhile, is based on patterns. It learns from massive amounts of existing data — books, art, music, code — and produces outputs that look fresh, but are essentially recombinations of what already exists. So the big question is: if creativity is about “newness” and “meaning,” can something built on patterns ever be considered truly creative?

     AI’s Strength in Creativity

    • In so many ways, AI does surprise us with what it produces. Consider:
    • It can produce beautiful works of art in mere seconds.
    • It can produce music that sounds eerily beautiful.
    • It can produce stories or poems that sound emotionally authentic
    • .Occasionally, AI actually creates something that would not have been created by human beings — because it can recombine inspiration from one field, or one time period, or one culture in ways we would not even have thought of attempting to do. That level of recombinability really is indistinguishable from creativity, and it is a kind of it.

    The Human Element That’s Hard to Replicate

    But that is where it varies: human imagination is not disentangled from our experiences, our feelings, and our sufferings. When the painter paints with heartbreak, when the novelist writes a novel out of loss, or when the singer sings a song out of happiness — there’s much lived reality that is impressed upon the work and gives it life.

    AI does not experience heartbreak, joy, or sadness. AI identifies patterns in images and words relating to heartbreak, joy, or sadness. It does not equate the result cannot move us, but it says that the reason behind them is different. A human makes something out of purpose; an AI makes something out of replication.

     Cooperation vs. Substitution

    Perhaps the more important question is not “Is AI creative?” but rather: “Can AI augment human creativity?” Already, many artists are employing AI as a tool — to generate ideas, overcome writer’s block, or discover what’s new and feasible. By doing so, AI is not substituting for creativity but augmenting it.

    Put it like this: when individuals learned of photography, everybody worried that photography would destroy painting. No such luck — painting changed — impressionism, surrealism, and abstract painting all emerged in part because photography was there. So too could AI make folks think differently, just because we’ll have to learn what specifically we can do.

     The Redefinition of Creativity

    Maybe our definition of what is creative is changing. If being novel and meaningful equals creativity, maybe works of art generated by AI that amuse, bring us to tears, or enrage us are, in fact, creative — despite the “artist” being a machine. Isn’t that the point of art and expression, to stir something within the masses?

    Conversely, if creativity is assumed to be uniquely human — a product of consciousness, emotion, and subjectivity — then AI is always short of being “truly” creative.

     Final Thought

    And then is content ever really creative when created by AI? The response maybe lies in the manner in which we finally define creativity. Indeed, one thing is certain: AI forces us to think differently. It reminds us that imagination is not wholly original but recombination, perspective, and expression too.

    Ultimately, perhaps the sorcery is not in AI replacing the work of human imagination, but in how human and AI can collectively generate more than is possible today. Creativity perhaps won’t be so much a question of who made it — but a question of what it does to those that view it.

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daniyasiddiquiEditor’s Choice
Asked: 30/08/2025In: , ,

AI assistants replace traditional sea ...

aimanagementtechnology
  1. daniyasiddiqui
    daniyasiddiqui Editor’s Choice

     Search Engines: The Old Reliable Traditional search engines such as Google have been our gateway to the internet for more than two decades. You type in a search, press enter, and within seconds, you have a list of links to drill down into. It's comforting, safe, and user-managed — you choose whichRead more

     Search Engines: The Old Reliable

    Traditional search engines such as Google have been our gateway to the internet for more than two decades. You type in a search, press enter, and within seconds, you have a list of links to drill down into. It’s comforting, safe, and user-managed — you choose which link to click on, which page to trust, and how far.

    But let’s be realistic: sometimes it gets too much too. We ask a straightforward question like “What is the healthiest breakfast?” and get millions of responses, scattered ads across the page, and an endless rabbit hole of conflicting views.

     AI Assistants: The Conversation Revolution

    AI assistants do change, though. Instead of being buried in pages of links, you can converse back and forth. They are able to:

    Condense complex information into plain language.

    Make responses more pertinent to your own circumstance.

    Store your choices and ideal responses as you progress.

    Even do things like purchasing tickets, sending letters, or scheduling appointments — tasks that search engines were never designed to do.

    All of this comes across much more naturally, like discussing with a clever pal who can save you from an hour of fossicking about.

     The Trust Problem

    But the issue is trust. With search engines, we have an idea of the sources — perhaps we would use a medical journal, a blog, or a news website. AI assistants cut out the list and just give you the “answer.” Conveniences perhaps, but it also raises these questions: Where did this take place? Is it accurate? Is it skewed?

    Until the sources and reasoning behind AI assistants are more transparent, people may be hesitant to solely depend on them — especially with sensitive topics like health, finances, or politics.

     Human Habits & Comfort Zones

    Human nature is yet another element. Millions of users have the habit of typing in Google and will take time to completely move to AI assistants. Just as online shopping did not destroy physical stores overnight, AI assistants will not necessarily destroy search engines overnight. Instead, the two might coexist, as people toggle between them depending on what they require:

    Need for instant summaries or help? → AI assistant.

    Massive research, fact-checking, or trolling around different perspectives? → Search engine.

    A Hybrid Future

    What we will likely end up with is some mix of both. We’re already getting it in advance: search engines are putting AI answers at the top of the list, and AI assistants are starting to cite sources and refer back to the web. There will come a time when the line between “search” and “assistant” is erased. You will just ask something, and your device will natively combine concise insights with authenticated sources for you to explore on your own.

     Last Thought

    So, will AI helpers replace traditional search engines altogether? Don’t count on it anytime soon. Rather, they will totally revolutionize the way we interact with information. Think of it as an evolution: from digging through endless links to being able to have intelligent conversations that guide us.

    Ultimately, human beings still want two things — confidence and convenience. The technology that best can balance the two will be the one we’ll accept most.

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daniyasiddiquiEditor’s Choice
Asked: 30/08/2025In: ,

social media creating more loneliness

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  1. daniyasiddiqui
    daniyasiddiqui Editor’s Choice

     The Paradox of Feeling "Connected" but Alone Social media, in theory, was meant to unite us as a community — to connect distant locations, enable us to share our own narrative, and be less isolated. And, to some degree, it succeeds. We are able to reconnect with old friends, keep in touch with famiRead more

     The Paradox of Feeling “Connected” but Alone

    • Social media, in theory, was meant to unite us as a community — to connect distant locations, enable us to share our own narrative, and be less isolated. And, to some degree, it succeeds. We are able to reconnect with old friends, keep in touch with family members who are abroad, or connect with another human being based on an interest.
    • But the irony is this: the more time people spend swiping on endless streams, the lonelier people are getting. Why? Internet connectivity does not equate with human connection. A “like” is not a hug. A heart symbol is not a conversation in which someone is actually hearing you.
    • One of the largest culprits of loneliness on social media is the perception of perfection. We’re seeing people’s vacation shots, enjoying nice meals, or celebrating special events — and we’re in our bed at midnight swiping. We begin to wonder about the question: “Am I missing out? Why can’t my life be like theirs?”
    • With time, continuous comparison dulls self-confidence and gets individuals more apart from each other, ironically alone in the midst of interaction.

     The Erasure of Significant Conversation

    Consider it — how vacuous does most of our online communication get? A “happy birthday” ? on another person’s news feed or a two-word reply to a photo. They’re polite, but they never give the kind of closeness we have with real human touch, with shared laughter with folks around you, or even with quiet sitting together with someone in front of you.

    Face-to-face relationships are content and exposure-oriented — things that so many transitory, ephemeral electronic communications do not possess.

     Mental Health Perspective

    Social media overuse was found by researchers to be associated with more loneliness, anxiety, and depression. Ongoing beeps, fear of missing out (FOMO), and need to “stay in the know” online can drain a person and emotionally exhaust them. Instead of a sense of belongingness, it may give them a sense of “plugged in but alone.”

     But It’s Not All Bad

    • And finally, there is the advantage that can be gained. For some — particularly the lonely, the timid, or physically alone — social media is a life preserver. Support groups, Internet forums for mental illness, or simply being online in touch with old acquaintances can give them confidence. The secret is how we use them:
    • Are we participating in substantial discussions, or mere mindless scrolling?
    • Are we commenting to individuals we truly care about, or do we merely seek their approval.

    Balance

    • Social media is not required to be loneliness. The secret is balance. As an extra — not as a replacement — for human-to-human contact. Such as:
    • Call over comment: A voice or video call can be more powerful than a ” on a post.
    • Curate your feed: You have to be following individuals and accounts that inspire or motivate you, and not others that cause you to compare.
    • Moments of digital detox: Spend some time of being offline and hanging out with the folks around you in real life.
    • Social media isn’t good or bad — it’s a tool. But, just as with any tool, it is what we do with it. If we only use it as an intermediary to other human beings, then yes, it will certainly foster more loneliness. But if we use it smartly — to form genuine relationships, to communicate straight and straight and openly, and to keep in touch with others we can be intimate with too — then it will enrich our lives.
    • Ultimately, no million likes or million followers can ever equal the hollowness of not having gotten the thrill of being deeply seen and understood by the one who loves you.
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