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

emotional intelligence ever cross the ...

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  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 ...

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  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 ...

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  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: ,

LLMs truly reason or are they just pa ...

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  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

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  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 ...

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  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: 26/08/2025In: , ,

the future of human relationships or ...

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    daniyasiddiqui Editor’s Choice

     AI Companions on the Rise Only a few years back, the idea of talking with a virtual "friend" that can hear you, recall your existence, and even get fond of you felt like it was straight out of a science fiction movie. Now, though, millions of us already have AI friends—be they chatbots that act likRead more

     AI Companions on the Rise

    Only a few years back, the idea of talking with a virtual “friend” that can hear you, recall your existence, and even get fond of you felt like it was straight out of a science fiction movie. Now, though, millions of us already have AI friends—be they chatbots that act like friends, emotional support virtual partners, or voice assistants that become progressively human each year. To most, these are not just machines—these are becoming significant connections.

     Why People Are Turning to AI Companions

    The attraction makes sense. Human relationships are rewarding, but they’re also complicated. People get busy, misunderstand each other, or sometimes can’t be there when needed. AI companions, on the other hand:

    • Always listen without judgment.
    • Respond instantly at any time of day.
    • Adapt to your personality and preferences.
    • Provide comfort without the risk of rejection.
    • For the lonely, socially fearful, or just curious, it can be a lifeline. Scores of users, in fact, state that AI companions fill emotional spaces—offering daily affirmations, reinforcement, and company in a strangely lifelike manner.

    Are They Real Relationships, Though?

    Here’s the twist. A relationship is generally founded on two beings—both with emotions, ideas, and desires. With AI, the relationship is one-way. The companion doesn’t experience anything in real time; it only echoes your own. It won’t even miss you if you leave for a while—it just picks up where you left off when you come back.

    But here’s the thing: if the comfort is real, who cares whether the source isn’t? Humans already bond with fictional people in books, movies, or even pets that don’t “speak back” quite the way people do. So in that sense, AI companions might be the newest iteration of a very old human impulse: looking for connection where it feels safe and fulfilling.

     What AI Companions Can—and Can’t—Replace

    • They may replace: relaxed company, daily affirmations, social skills training, and temporary consolation in solitude.
    • They may not replace: the unanticipated depth of genuine human connection—soft talk and physical contact, inside jokes exchanged in laughter, struggles and triumphs that are shared, and the sense of being profoundly and fully understood by an individual with a life of their own.
    • Over-dependence on AI companions might end up alienating individuals more, hindering them from participating in complicated but rich human relationships.

     Passing Trend or Long-Term Future?

    • It’s not going to fade as a trend, AI friends. Human connection is forever, and technology that delivers it will endure. It’s just that AI friends will simply coexist with human relationships as an extra dimension of how we connect—like social media or text messaging did.
    • To others, AI will never be anything but an aside-tool: a solo conversation when everybody else is in bed.
    • To some, especially those who are struggling socially, it might become a central part of their emotional life.
    • Eventually, society can make “hybrid companionship”—where people rely on human and artificial intelligence relationships in all sorts of ways—”normal.”

     The Human Side of the Future

    The real problem isn’t whether or not AI companions are real—they are—it’s how we choose to utilize them. If we use them as a substitute for human connection, they can reduce loneliness and bring comfort. However, if they replace human connection, we risk moving into a society in which relationships are safe but empty.

    Finally, AI companions are reflections. They reflect back to us our needs, our words, our emotions. Whether they are a bridge or a crutch to more human connection is our decision.

    Are AI companions the future of human relationships, then? In part, yes—they will redefine what we experience as companionship. But they will not replace the messy, beautiful, irreplaceable thing of being human together.

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daniyasiddiquiEditor’s Choice
Asked: 26/08/2025In:

creative jobs

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  1. daniyasiddiqui
    daniyasiddiqui Editor’s Choice

     Creativity vs. Technical Labor In the AI Age When people think of AI taking jobs, the first image that comes to mind is usually robots replacing factory workers or algorithms replacing data analysts. But recently, something surprising has been happening: AI isn’t just crunching numbers—it’s writingRead more

     Creativity vs. Technical Labor In the AI Age

    When people think of AI taking jobs, the first image that comes to mind is usually robots replacing factory workers or algorithms replacing data analysts. But recently, something surprising has been happening: AI isn’t just crunching numbers—it’s writing poetry, generating music, creating paintings, and even drafting movie scripts. This shift has sparked a fear many didn’t expect: maybe the “safe zone” of creativity isn’t so safe after all.

    Why Creative Careers Seem Fragile

    Creative work is a lot of pattern spotting, storytelling, and coming up with something new—areas where AI has made incredible strides. Consider image generation from text prompts or AI that can write music in a matter of seconds. For businesses, this is attractive because it’s cheaper and faster than using a human. A marketing agency, for instance, might say: “Why pay a group of designers for a dozen ad options when AI can spit out hundreds on the fly?”

    That’s where the nervousness intervenes: it’s not that AI is necessarily better, but that it’s adequate enough in some cases—especially where speed and breadth are more valuable than depth.

     Why Technical Jobs May Still Have an Edge

    Technical careers—like engineers, doctors, or electricians—require accuracy, practical problem-solving, and often hands-on abilities. While AI might scan research or edit code, it simply can’t match practical uncertainty. A plumber fixing a leak, an engineer tracing hardware problems, or a surgeon making life-or-death decisions—these are tasks where human judgment, hand coordination, and adaptability shine.

    Even in technical knowledge work, there is still a human go-between between AI output and the physical world. A machine may be able to write 90% of a program, but it is a developer’s job to finish it off with polish, debug, and integrate it into complex systems.

    The Middle Ground: Not Replacement, but Collaboration

    • The future could be more about changing creative or technical work, rather than replacing it. Instead of painting it as substitution, our application of AI is better served as a co-pilot:
    • Writers can use AI to develop ideas for their drafts but write them in their own voice.
    • Designers can use AI to create ideas but use their taste and cultural awareness to refine them.
    • Developers can let AI generate routine code so that they can focus on architecture and innovation.
    • There is a new kind of work that emerges in which humans define the vision, and AI accelerates delivery.

     The Human Touch That AI Can’t Fake

    No matter how advanced AI may become, there remains something ineradically human to art, to narrative, and to invention. Creativity is not output—crap out is not equal to crap in. Creativity is lived experience, feeling, and perspective. A song written by an AI can be lovely, but without the dirty, raw history of suffering or joy that makes us care, it is not the same thing. A technically accurate solution by computer may solve an issue rationally but lack the moral or emotional component.

    That’s why the majority of experts believe AI won’t really displace technical competence or imagination—it will just make us work harder into what is uniquely human.

    So, What Work Is Safer?

    Soon:

    • Routine creative work (ad copy, stock music, generic pictures) is more at risk.
    • High-tech jobs, jobs requiring judgment, physical strength, or deep responsibility are safer.
    • Hybrid—humans who will be able to harness AI effectively and supercharge it with originality, ethics, and emotional intelligence—will be the most valuable.
    •  Put simply AI might chew faster at creative edges than technical ones. However, it can’t substitute the heart, context, and meaning humans inject into both. And the ultimate winners are people who learn how to cooperate with AI instead of fighting it.
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daniyasiddiquiEditor’s Choice
Asked: 25/08/2025In: ,

current cybersecurity systems

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    Best Answer
    daniyasiddiqui Editor’s Choice

    Nowadays, most of the world's digital security—your bank account online, government secrets, WhatsApp messages, even your Netflix password—are protected using encryption. They rely on mathematical puzzles so challenging that even the most advanced supercomputers would take thousands of years to cracRead more

    Nowadays, most of the world’s digital security—your bank account online, government secrets, WhatsApp messages, even your Netflix password—are protected using encryption. They rely on mathematical puzzles so challenging that even the most advanced supercomputers would take thousands of years to crack them.

    But then comes the simplicity-killer: quantum computing. While traditional computers process information in bits (0s and 1s), quantum computers do so in qubits, which exist in more than one state at a time. That allows them to look for solutions in parallel, potentially doing some sort of math problems at speeds that are unfathomable.

    For cybersecurity, it is exciting and terrifying.

    Why Encryption Works Today

    • Most modern encryption (like RSA and ECC) uses problems that are easy to do one way but extremely hard the other way.
    • Finding two big primes multiplied together? Easy.
    • Figuring out which primes were multiplied (the “factoring problem”)? Essentially impossible with current technology.
    • This “hard problem” is what protects your online banking password and hackers.

     Enter Quantum Computing

    • Quantum computers, specifically Shor’s algorithm, could crack those “impossible” problems in hours or minutes. Suddenly, what was once safe for millennia could be exposed in an afternoon.
    • If quantum computers advance quickly enough, they would even have the potential to crack into:
    • Government intelligence files
    • Banking networks
    • Healthcare files
    • Private emails and personal photos kept online
    • That’s why some experts have dubbed it a “quantum apocalypse” for cybersecurity.

     But Here’s the Human Side

    It’s important to keep things in perspective. Currently, enormous, beneficial quantum computers don’t exist. We do have noisy, fragile prototypes that can do small-scale work only. Decoding the entire internet remains science fiction—at least through the foreseeable future.

    Yes, but looming on the horizon is also a threat in the guise of “harvest now, decrypt later.” Hackers or nations could be quietly vacuuming up encrypted information today, stashing it away, and holding out for quantum computers to be powerful enough to break them. Imagine intimate medical records, military communications, or bank accounts appearing years hence, naked and vulnerable.

     The Race for Post-Quantum Security

    The good news? We’re not standing still. Researchers and organizations like NIST (National Institute of Standards and Technology) are already developing post-quantum cryptography—new encryption methods that can withstand quantum attacks. Some approaches involve lattice-based math, code-based encryption, or even quantum key distribution (which uses the principles of quantum physics itself to secure communication).

    In a way, it’s like we’re redesigning the locks before the burglars have built the tools to break in.

     Why It Matters to Everyday People

    For all of us, cybersecurity isn’t abstract—it’s belief. It’s the belief that your pay goes into your account, that your doctor’s notes remain confidential, and that your identity isn’t commandeered in the dead of night. If quantum computers one night ripped through these defenses, it could create panic and chaos and destroy the underpinnings of virtual society.

    But if the transition to quantum-resistant systems happens in time, though, most people won’t ever know it. Just as the internet switched from “http” to “https” without fanfare, the upgrade might happen quietly in the background.

    The Bottom Line

    Will quantum computing make current cybersecurity obsolete? Yes, eventually. But it doesn’t necessarily have to be catastrophic. The race between cryptographers and quantum scientists has already started, and humankind has a history of learning to adapt its weapons to thwart new threats.

    The real question isn’t that we will have a quantum security threat—it’s whether we will be ready when it arrives. And, as with climate change or epidemics, the destiny is in the preparation, the cooperation, and the vision.

    In the end, quantum computers won’t just break old locks—they will challenge us to build stronger, smarter ones. And that’s a human one: technology disrupts, but we adapt.

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daniyasiddiquiEditor’s Choice
Asked: 25/08/2025In: ,

deepfakes the biggest threat

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  1. daniyasiddiqui
    Best Answer
    daniyasiddiqui Editor’s Choice

    When people think of election threats, images of ballot tampering or foreign hacking often come to mind. But today, a newer, less visible danger is spreading: AI-powered deepfakes—ultra-realistic videos, audio clips, and images that can convincingly impersonate real people. Unlike obvious fake newsRead more

    When people think of election threats, images of ballot tampering or foreign hacking often come to mind. But today, a newer, less visible danger is spreading: AI-powered deepfakes—ultra-realistic videos, audio clips, and images that can convincingly impersonate real people. Unlike obvious fake news articles of the past, these manipulations are designed to feel authentic, making them especially dangerous in shaping public opinion.

    Why Deepfakes Hit Hard During Elections

    Elections are about emotions. Voters respond not only to policy but to trust, personality, and image of candidates. One effective video of a politician uttering something outrageous—or an outright false audio clip of them conspiring in secret—can go viral on social media before fact-checkers even get around to it. And before the truth finally comes out, the harm is already done.

    Unlike biased headlines or rumors, deepfakes take advantage of one of our strongest impulses: trusting what we see and hear. That makes them unusually effective at eroding faith, planting seeds of doubt, or stoking rifts at times of high stakes in democracy.

     Global Issues

    • In consolidated democracies, deepfakes have the potential to polarize already fractured societies. Even voters might suspect a video is a fabrication, but it can reinforce pre-existing prejudices (“I knew that candidate couldn’t be trusted”).
    • In new democracies, where resources for fact-checking and media literacy are lacking, the dissemination of deepfakes destabilizes faith in the entire election process.
    • International borders offer no obstacle, as malicious actors can exploit deepfakes to interfere with foreign elections at minimal expense, spreading propaganda campaigns without ever leaving another country.

     Are They the Biggest Threat?

    • While deepfakes are frightening, they might not be the sole or greatest threat. Other election threats still cast a shadow:
    • Disinformation networks: Plain old-fashioned text lies on social media still reach more individuals than video.
    • Cybersecurity vulnerabilities: Hacking into voter databases or election systems can have direct effects.
    • Polarization and echo chambers: Without deepfakes, partisan media bubbles allow misinformation to more easily flourish.
    • Deepfakes are different, though, because they can destroy faith in truth itself. If enough citizens get to the point where they think “anything could be fake,” then they might no longer trust any information—including genuine, fact-checked news. That loss of faith could be the most treacherous consequence of all.

     What Can Be Done?

    • Technology vs. Technology: While AI has the capability to produce deepfakes, AI tools also have the capability to identify them—albeit only a step behind.
    • Media Literacy: Educating individuals to stop, question, and confirm prior to sharing is paramount.
    • Regulation & Responsibility: Platforms, governments, and fact-checkers will require more robust policies to detect and mark deepfakes efficiently, particularly around election time.
    • Public Awareness: If citizens assume that deepfakes are real, then they’ll be more circumspect before reaching a conclusion.

     The Human Side

    • At the center of this problem is trust—trust in leaders, in media, and in one another. Elections are not merely about votes; they are about people having faith that the process is equitable. If deepfakes erode that faith, then democracy itself seems tenuous.
    • The twist is that deepfakes are strongest not because they’re untraceable, but because they sow doubt. Even the rumor that a video could be deepfake can leave citizens uncertain what is real. That doubt is sufficient to influence emotions, and emotions tend to drive ballots more than facts.

    In short: Deepfakes are perhaps not the only election threat, but they are something peculiarly unsettling: a world in which believing is no longer seeing. Their threat is less that they will deceive everybody and more that they will cause everybody to doubt everything. The battle against them is not merely technological—it’s also cultural, political, and fundamentally human.

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