Parality: AI Digital Twins and the Era of Temporal Freedom

Parality is a term coined by John Rector to describe a paradigm shift where AI-powered digital twins (highly personalized software clones of a person) free us from the linear constraints of time. Just as the mobile revolution gave us spatial freedom (working from anywhere), the rise of Parality promises temporal freedom – the ability to be “everywhere, all at once” in terms of tasks and presence. In essence, Parality envisions that you can delegate your routine meetings, communications, and even creative work to digital replicas of yourself, allowing one individual to accomplish parallel tasks simultaneously without being limited to doing things one-at-a-time. This comprehensive report explores the concept of Parality, its technical underpinnings, real-world developments, and the profound implications of having AI agents act as your “digital doppelgängers.”

From Mobility to Parality: Freedom from Time Constraints

For decades, technology focused on overcoming distance – the Age of Mobility – which untethered us from physical offices and locations. Smartphones and the internet meant we could work and communicate from virtually anywhere. However, even with this spatial freedom, we remained bound by linear time – generally able to only focus on one thing or be in one place at a time. Parality represents the next evolution: breaking the temporal constraint. Rector describes Parality as a neologism derived from “parallel” and “simultaneity,” signifying the capacity to exist and act in multiple contexts concurrently. Unlike ordinary multitasking (which often means rapidly switching attention and doing many things poorly), Parality is about genuine parallel presence and productivity – performing multiple engagements at full effectiveness simultaneously. In short, if mobility freed us from the where, Parality frees us from the when, by leveraging AI to overcome the one-task-at-a-time limitation. Rector envisions this shift as the dawn of a new era – an “Age of Parality” or “Age of Plurality” – picking up where the mobility era leaves off around 2030.

What Is Parality? Achieving “You, Everywhere, All at Once”

At its core, Parality is the technologically-enabled ability to multiply yourself through AI so that you can be “You, Everywhere, All at Once”. It means deploying personal AI agents that embody your identity – your knowledge, personality, and decision patterns – to act on your behalf in parallel. This goes far beyond generic digital assistants like Siri or Alexa. A Parality agent is essentially a digital twin of you, hyper-personalized and trained to mimic you with high fidelity. These AI twins are designed to represent you authentically: they speak in your voice and tone, adhere to your values, use your turns of phrase, and apply your judgment as if you were in the room. In Rector’s words, Parality enables “parallel presence” – not just advanced multitasking, but truly being present in multiple places or roles at once through your AI proxies.

Crucially, a Parality twin isn’t merely an assistant that helps with tasks; it is an extension of your very self. Where today’s assistants provide help, **Parality provides **presence. The AI twin can engage in nuanced conversations or negotiations indistinguishably from you, effectively “parallelizing” you in time. This concept promises a form of temporal liberation: with Parality, time itself “ceases to constrain human capability,” enabling a leap in productivity and personal presence. By training AI on your experiences and behavior, it becomes possible to delegate yourself – allowing you to literally be in two, ten, or a hundred places at once without diluting the quality of engagement in each.

Personal AI Twins: Your Digital Doppelgängers

The engine that drives Parality is the personal AI twin – essentially a digital clone of an individual, powered by advanced AI. These AI agents are meticulously trained on one’s entire digital footprint (and possibly biometric data), learning everything from how you talk to how you make decisions. The goal is a high-fidelity replica of your mind and mannerisms in software. Key elements of a personal AI twin include:

• Personality & Values: It reflects your unique character, ethics, and worldview, so its actions and tone align with your personal values.
• Communication Style: It mimics your speaking and writing style down to nuances of tone, phrasing, and interaction patterns, so its emails or conversations sound like you.
• Knowledge Base: It possesses your domain expertise and personal knowledge, able to draw on facts you know and even memories or context from your life (gleaned from your documents, messages, etc.).
• Decision-Making Patterns: It evaluates options and makes choices the way you typically would, based on your past decisions and stated preferences.

Equipped with these traits, an AI twin functions as an authentic proxy of you. It doesn’t just follow simple scripts or answer questions; it can act on your behalf with autonomy and fidelity. In other words, your digital twin would represent you in various situations – effectively becoming a stand-in “you” when you can’t be physically present. Rector emphasizes that such AI twins would be “highly sophisticated, ever-learning parallel versions of yourself” that manage multiple interactions simultaneously in your stead. They are you, multiplied.

It’s important to note that creating such a lifelike digital clone requires significant technological prowess. Large language models (LLMs) and other AI systems must be fine-tuned on extensive personal data about you. This can include your communications (emails, text messages, social media posts), voice recordings, writing samples, and even video footage – essentially any data that captures your behavior and style. Using these inputs, AI models learn to replicate not just your voice or face, but “how you think, respond, and express emotion,” aiming for replication rather than mere impersonation. Advances in machine learning now make it feasible to build such models. In fact, some early services already offer pieces of this puzzle – for example, tools like Replika or Personal.ai that attempt to chat in your style, or avatar generators like Synthesia that create a video likeness from a photo and voice sample. As these technologies mature, personal AI clones are expected to become increasingly indistinguishable from the real individuals they mirror.

Applications and Use Cases of Parality

What could you actually do with a legion of AI clones of yourself? The vision of Parality encompasses a wide range of practical applications that could redefine productivity and personal life. Here are some prominent use cases enabled by personal AI twins:

• Attend Multiple Meetings: Your AI clones can participate in numerous meetings or calls at once, eliminating scheduling conflicts. For example, instead of choosing one meeting to attend, you could send an AI version of yourself to each important meeting happening in parallel. Each twin would appear (perhaps as a video avatar) and engage in the discussion, make decisions, and even vote or commit to actions exactly as you would. This means never having to miss out on an opportunity or prioritize one obligation over another – your parallel selves cover everything.
• Multichannel Communications: While you focus on a task (or take a break), your AI twin army can handle incoming communication on all fronts. They can simultaneously reply to emails, text messages, Slack chats, and customer inquiries in real time, all in your personal voice and tone. To the recipients, it feels as if you responded promptly and thoughtfully. This kind of real-time delegation means you’re effectively conversing with many people at once without feeling overwhelmed. Routine tasks like inbox management or scheduling can be completely offloaded to your clone, who knows your preferences and can converse just as you would.
• Parallel Business Negotiations: In high-stakes scenarios such as sales calls, contract negotiations, or deal-making, a single person can only be in one room at a time – but with Parality, your digital representatives could conduct multiple negotiations concurrently. Each AI twin is empowered with your negotiation style, business knowledge, and judgment, so it can autonomously close deals or make agreements on your behalf across different locations and time zones. The result is scaling your strategic influence; what used to require an entire team (or missing out on some opportunities) can now be done by one person’s replicated expertise multiplied manyfold.
• Content Creation and Knowledge Work: Your AI clones can help produce output while you do something else, effectively multiplying intellectual productivity. For instance, as Rector illustrates, a researcher could deploy one AI twin to draft a research paper from their notes, another to analyze data, and a third to handle administrative emails – all while the researcher herself focuses on a different core task. Similarly, a software developer might have one clone writing code for one project while another twin debugs a different project. Because each twin has access to the person’s skills and knowledge, they can carry out complex creative or analytical work in parallel. This parallel productivity could dramatically speed up projects that would normally take a single person months to complete.
• Social Media and Audience Engagement: Maintaining an active presence online can be time-consuming. Personal AI copies offer a solution by engaging audiences on your behalf. Public figures – like influencers, authors, executives – are beginning to use AI replicas to interact with fans or customers at scale without burning out. A digital twin could manage your social media accounts: posting updates in your style, responding to comments or DMs as if it were you, and even participating in discussions with your followers. Because it mirrors your persona, it keeps the interaction authentic and personalized. This way, your audience feels continuously connected, while you conserve time and energy.
• Personal Life and “Integrated Presence”: Parality isn’t only about work – it also means not having to choose between personal and professional obligations. Imagine attending a child’s soccer game or having dinner with your family while another version of you joins a school board meeting or an evening work call. With AI twins, a parent could be physically present at home and virtually present in another important context simultaneously. Your clone can represent your opinions and listen in on the meeting, then later brief you or even handle the entire matter. In effect, Parality promises a better work-life balance by allowing you to be in two places at once – fulfilling personal responsibilities without missing professional duties (and vice versa).

These scenarios demonstrate how Parality could fundamentally amplify an individual’s bandwidth. Rather than hiring an assistant or a team for help, you become the team, multiplied through AI. Early experiments have shown that even handling just a few aspects (like auto-drafting emails or summarizing meetings) can significantly lighten workloads. With full-fledged AI twins, the productivity and presence one person can achieve might increase by orders of magnitude. The “tyranny” of the single-threaded schedule begins to dissolve, as Rector puts it, once you are no longer limited to one task or one interaction at a time.

Beyond Transactions: “Audience of One” and Hyper-Personalized Content

Parality also transforms how we experience content and media. In the traditional model, content creation and consumption is transactional: producers make content for an audience in exchange for attention, subscription, or money. Even personalized news feeds or recommendation algorithms are essentially services trying to cater to user preferences for profit or engagement. With Parality, John Rector proposes a shift to a non-transactional model of content tailored by your own AI for you alone. Because your personal AI knows you intimately, it can generate exactly the information or entertainment you desire at any moment, without needing external content creators. In this vision, “you no longer receive adapted content – you become the content”, as your AI twin continuously creates a custom stream of videos, articles, posts, etc., perfectly aligned to your tastes and needs.

This concept is sometimes called the “audience of one.” Your AI twin essentially serves as a dedicated creator that produces media just for you, acting as an extension of your mind’s interests. For example, instead of scrolling through YouTube for a tutorial, your AI could instantly generate a video (in your preferred style and length) that teaches you exactly what you want to know, at the precise time you want it. Unlike a Netflix show or a news article made for a broad audience, the content from your Parality system is only for you, so it doesn’t seek likes, views, or payment – it’s more like a private library continuously written by an author who knows you intimately. This eliminates the need for algorithmic recommendations, because the “supply” of content is directly and uniquely matched to your personal demand in real time.

Such hyper-personalized content blurs the line between creator and consumer. In a sense, your clone turns you into both the publisher and the audience of your own highly specialized media feed. This could greatly enhance personal learning and satisfaction – imagine never having to search for relevant content, because it’s generated on-the-fly to suit your current mood and curiosity. However, it also raises new questions: if everyone is wrapped in their own bubble of AI-generated content, the shared experiences and common reference points in media might diminish. Rector likens the integration of these AI systems to a new “organ” of your identity – as natural and selfless as your nervous system, simply working to serve you without an external agenda. In the Parality era, the very idea of mass media or one-size-fits-all content could give way to millions of parallel, personalized media streams – each person’s digital twin curating and creating their world of content just for them.

Technical Foundations: How Do AI Clones Work?

Building a functional digital twin requires combining several cutting-edge AI technologies. At the heart of it are large AI models – especially language models and multimodal models – that can emulate human-like understanding and generation of content. To create your clone, an AI model must be fine-tuned on your data: your past writings, recordings of your voice, transcripts of your meetings, chat logs, and so on. The more personal data and context it has, the more accurately it can reproduce your manner of speaking and thinking. This training process can be thought of as teaching the AI to “predict” what you would say or do in a given situation, based on what it has learned from your history.

Critically, many experts believe that each person’s AI twin will need a customized AI model rather than a generic one-size-fits-all system. Zoom’s CEO Eric Yuan, for instance, noted that using the same base large language model for everyone “doesn’t make any sense” if we want the AI to make decisions on our behalf. He argues that “I should have my own LLM – that’s the foundation for the digital twin”, implying that your clone would run on a personalized model fine-tuned to mirror your mind. With your own dedicated AI model (or a securely partitioned instance of a model) trained on your data, you could potentially trust it more in autonomous roles, because it won’t behave like a generic AI but like you. This also means that privacy and security of your training data are paramount – the model literally contains aspects of your identity.

Beyond the language capabilities, a full digital twin involves other components: voice synthesis to sound like you in spoken conversations, avatar generation (perhaps using deepfake technology) to look like you on video calls, and possibly connections to tools like calendars, email clients, or CRM systems so that it can act on information and perform actions. Many of these pieces exist in nascent forms today. For example, services like HeyGen or Synthesia can create a talking video avatar that looks and sounds like a given person from sample data. There are AI voice clones that can be nearly indistinguishable from a human’s voice. Combine these with a personalized LLM that generates the dialogue, and you have a virtual presence capable of appearing in a Zoom meeting or phone call as “you.”

To illustrate, Zoom itself is working on features to enable this kind of functionality. Their long-term vision is to let users deploy a “digital twin” avatar into meetings when they can’t attend. This AI avatar would not only sit in the meeting, but also make decisions and speak for you, so you can spend your time on something else (or simply take a break). Under the hood, this requires solving hard problems like real-time language understanding, maintaining context across many simultaneous interactions, and ensuring the AI doesn’t go off-script (more on that in the Challenges section). However, rapid progress in AI research is making these challenges surmountable. It’s conceivable that in the near future, you might have an app on your phone or computer where your personal AI model resides (for security, as Yuan suggests, you might not want your whole identity model stored on a company’s servers). With a click, you could deploy one of many specialized clones of yourself – perhaps one with an “engineering expert” persona for a technical meeting, another with a “sales” persona for a client call – while you monitor or review summaries later.

In summary, the technical pillars of Parality include: personal data collection (to teach the AI), AI model customization (your own LLM or similar model), voice/avatar deepfake generation, and robust integration with communication tools. While no single product offers the full Parality vision yet, all the components are emerging. The consensus is that hyper-personalization of AI is key – the clone has to be yours and yours alone. As one tech writer put it, “With enough data, AI can simulate not just your voice or look, but how you think and respond. The goal isn’t just impersonation – it’s replication.”. Achieving that goal is an ongoing technical frontier, but one with huge momentum.

Early Adopters: Executives and Digital Doppelgängers

Illustration: Technology executives are already experimenting with AI “clones” of themselves to multiply their presence and workload. In 2024–2025, we’ve seen the first real forays into Parality-like behavior, especially among business leaders looking to “scale” themselves. A number of high-profile executives have begun creating AI versions of themselves and deploying them in professional contexts. Zoom’s founder, Eric Yuan, publicly shared his ambition to use AI-powered digital twins so that people (including himself) can send clones into meetings. He imagines a future where if you’re double-booked, you simply dispatch your avatar to one meeting while you attend the other – or perhaps skip both and let your AI handle them! This idea is not just idle talk; Zoom is actively working on “digital twin” technology for meetings and productivity tools. Yuan even mused about users potentially having multiple twins (like one specialized in engineering, one in sales) and acknowledges tough questions about how many clones a person should have and how to keep them in sync.

Executives at other companies are following similar paths. Otter.ai (a transcription and meeting assistant startup) has prototyped a feature called “Meeting Avatar,” inspired by their CEO Sam Liang’s desire to have a “Sam Bot” attend meetings when he was triple-booked. The prototype can record meetings and is expected to eventually answer questions and participate in discussions on Liang’s behalf. Likewise, entrepreneurs like Reid Hoffman (LinkedIn co-founder) and venture capitalist Keith Rabois have reportedly created AI replicas of themselves as well. These digital doppelgangers have been used in various ways: some CEOs let their clones handle internal chats with new employees (for onboarding or sharing company culture), appear on investor calls to present information, or stand in for them at events when they can’t be present. In one case, the co-founder of an AI company (Delphi) even includes a link to his “digital mind” chatbot in his email signature so that people can ask his AI clone questions directly. A journalist who interacted with this CEO’s chatbot noted it was helpful (it could answer questions about the company and founder), though not perfect – it made a mistake about whether the real person could see the conversation, highlighting that these systems are still evolving.

The big appeal driving these early adopters is productivity and accessibility. As one report put it, CEOs and executives use clones to boost their influence and availability – giving more people access to their thinking without stretching themselves thin. An executive can be “present” in far more situations than a single human could manage, which can benefit clients and employees who want more face time or quick decisions. Indeed, some leaders frame it as democratizing their expertise: anyone can consult the “AI me” any time, instead of waiting weeks for a meeting. However, there’s also some hesitation and mixed results. For instance, Aaron Levie, CEO of Box, finds the idea fascinating but says he “probably wouldn’t do it” for himself just yet, focusing instead on AI that augments company knowledge broadly. The trust factor is significant – using a clone means relying on it to represent you accurately. In these trial runs, issues like minor inaccuracies (or “hallucinations”) from clones have shown that careful oversight is still needed.

Notably, the possibility of sending hundreds or thousands of clones out into the world raises both excitement and concern. In Zoom’s CEO interview, the question was posed: should there be a limit? What if one person could have a hundred digital twins attending different meetings or doing tasks – is that a “weird outcome” for society?. Yuan acknowledged that managing multiple versions (and ensuring they don’t contradict each other or drift from the true persona) will be a challenge, but he believes if they are all under the user’s control and properly trained, it could work. The fact that such questions are being seriously discussed underscores how real the concept of Parality is becoming. Executives are effectively beta-testing the idea that one individual could scale themselves infinitely using AI. As one Axios report quipped, while workers worry about losing jobs to AI, top executives are busy duplicating themselves because they see their own expertise as uniquely valuable. In the coming years, what these pioneers learn – both the productivity boosts and the pitfalls – will likely trickle down to broader use of personal AI clones among professionals and eventually the public.

Challenges and Ethical Considerations

The advent of Parality and AI twins also brings a host of challenges, risks, and ethical questions that society will have to address:

• Trust and Accuracy: Can you trust your digital twin to make the right calls? Current generative AI (even fine-tuned) can sometimes produce incorrect or fabricated information (known as hallucinations). Sending a clone into a meeting that might make decisions on your behalf is risky if the AI isn’t reliably accurate. Early adopters have already encountered instances where their AI double gave an answer that wasn’t true to reality. Overcoming this will require advances in AI reliability and perhaps safeguards limiting what autonomous commitments a clone can make without human review.
• Security and Authentication: If AI clones become common, how do we verify identity? There is a real danger of malicious actors creating unauthorized clones – deepfake versions of you – to defraud or deceive others. For instance, if someone can hack into your accounts or steal enough of your data, they might generate a fake “you” that could trick colleagues or family. Eric Yuan has suggested that official digital twins would need some form of authentication so others know a given avatar is the real you (your authorized twin) and not an impostor. Robust systems to tag or verify AI-generated personas will be needed to prevent a future where “clone phishing” or impersonation scams run rampant. On the flip side, privacy safeguards are essential so that your legitimate twin, which likely has access to all your data, cannot be hijacked or misused by others. The prospect of someone hacking your digital twin and using it to do things in your name is a frightening new security nightmare.
• Consent and Ownership of Identity: With personal AI models, who owns the clone and the data that powers it? If you use a company’s platform to build your AI twin, their terms of service might give them rights over the model or the data. This raises concerns: Do you fully own your digital likeness, or does the service provider? Likewise, if someone else (an employer, for example) creates a digital version of you for work purposes, is that allowed without your explicit permission? Some argue that cloning someone without consent should be treated as a form of identity theft. These questions are prompting discussions about new laws – for instance, California and the EU have started looking at legislation to protect one’s AI likeness and ensure deepfakes are not abused. Legal frameworks will need to catch up to define the rights and boundaries of our “second selves.”
• Ethical and Social Impacts: Parality could widen certain social gaps. One worry is a scenario where executives and wealthy individuals heavily augment themselves with AI clones, massively increasing their productivity, while others without access to such resources fall behind. This “privilege gap” could exacerbate inequalities. Additionally, if leaders delegate too much to clones, stakeholders might feel a lack of human accountability or authenticity at “the very top”. There’s also the psychological aspect: interacting with what is essentially someone’s copy might feel strange or off-putting to employees or friends, especially if they suspect they’re not talking to the flesh-and-blood person. Over-reliance on AI versions of people could in some cases erode genuine human connection or responsibility (e.g. a CEO avoiding tough conversations by always sending a bot).
• Hallucination and Inauthenticity: Even if the AI twin is mostly accurate, it may still lack true human judgment or empathy in unforeseen situations. It might stick too rigidly to past data (making decisions that the real person would no longer agree with after personal growth), or it could fail to improvise correctly in a novel scenario. This can lead to “supercharged inauthenticity,” where the clone represents an image of you that isn’t fully current or genuine. Keeping the AI updated with your evolving views and ensuring it knows its limits will be important. Some experts suggest that clones fine-tuned on a narrower dataset (just one person’s data) might hallucinate less since they can’t stray beyond known info, but they are not immune to errors or overly confident statements. Ongoing human oversight or a “human-in-the-loop” approach may be necessary, at least initially, for critical tasks.
• Emotional and Societal Effects: If people start forming attachments to AI clones – whether it’s your own clone or someone else’s – this raises unique ethical questions. For example, a family might keep interacting with a digital twin of a deceased loved one for comfort (a use case already being explored for digital immortality). Is that healthy, or does it impede the grieving process? On the societal level, if everyone can send a clone to do the unpleasant parts of their job or daily life, will that lead to greater happiness and freedom, or could it create an expectation that we must always be multitasking via AI (leading to even more work and burnout in a different form)? There’s also the question of how human roles might shift – if one person can literally do the work of 10 via clones, does that reduce the need for hiring others, and what does that mean for employment? Such broad implications need careful consideration to ensure Parality is integrated in a way that benefits society at large.

Many of these challenges are still being debated, and solutions are nascent. It’s clear that while the promise of Parality is great, realizing it safely will require not just technological innovation but also ethical guardrails. Issues of identity, security, and equity will be at the forefront as we navigate a world where “copies” of people become commonplace. We may need new norms (for example, perhaps it becomes courteous to announce if you’re sending a clone to a meeting instead of going yourself) and regulations (to handle liability if an AI twin misbehaves, for instance). The conversation has only begun, but it’s a crucial part of the Parality journey.

Future Outlook: Entering the Parality Era

Advocates of Parality believe we are on the cusp of an era as transformative as the mobile revolution – one where temporal freedom unlocks human potential in unprecedented ways. Looking ahead 5–10 years, many technologists predict that having a personal AI twin could become a normal part of life, much like having email or a smartphone today. The trajectory of current AI development suggests that digital clones will steadily improve in realism and capability. As models get better at learning individual nuances and as computing power grows, the barriers to creating rich, real-time personal AIs will fall. It’s quite possible that by 2030, professionals across industries will routinely use AI agents as extensions of themselves – to the point where sending your clone to a routine meeting might be as unremarkable as sending a quick text message is now.

In this envisioned future, we might see an explosion of productivity and creativity. Individuals could take on projects and roles that were previously impossible to juggle. A single person might run multiple businesses in parallel, or an artist might produce far more work by leveraging creative AI counterparts. Some futurists even imagine marketplaces for AI twins – for example, “renting” a digital twin of a famous chef to get personalized cooking lessons, or consulting a clone of a renowned expert for advice. The concept of “workforce” could be redefined, as each human may come with a fleet of AI workers. We might measure output not just per person, but per person-plus-clones. It’s a dramatic shift that will challenge our economic and social structures (how do you pay someone who accomplishes 10x more via clones? Do they earn 10 salaries, or does work simply become more project-based?).

On the other hand, there’s a careful balance to strike. If each of us can be “everywhere at once,” we’ll have to decide where to draw the line. Just because you can do something simultaneously doesn’t always mean you should. Human attention and well-being are still limited; even if clones handle the grunt work, the real you can only absorb so much input. Parality will likely force us to become better at delegation and trust – focusing our genuine attention where it matters most, and letting the AI handle the rest. It may also prompt a cultural shift in how we value human presence. Perhaps live, in-person experiences become even more cherished (since a clone attending a meeting isn’t the same as you being there in the flesh), or conversely, perhaps society becomes comfortable with many interactions being AI-mediated.

In summary, Parality represents a bold vision of the future: a world in which each person can unleash dozens of versions of themselves to handle life’s various demands. The term captures the excitement of parallel reality – having parts of your reality running in parallel threads – and promises a new kind of personal freedom. As John Rector writes, “time itself ceases to constrain human capability” when we embrace Parality. Achieving that vision will be one of the defining challenges and adventures of the coming decade. If successful, the result could be a profound leap in productivity, creativity, and flexibility in our lives. We are at the threshold of the Parality era, where “You, Everywhere, All at Once” could move from a slogan to an everyday reality. The coming years will reveal how far we can go in multiplying ourselves through AI – and whether we are ready to handle the power of being in many places at the same time.

Sources:

1. John Rector – “Parality: Achieving Temporal Freedom by Becoming ‘You, Everywhere, All at Once’” (15 Mar 2025)
2. John Rector – “Beyond Mobility: Entering the Age of Parality and Temporal Freedom” (27 Mar 2025)
3. John Rector – “Parality and the Audience of One: Moving Beyond Transactional Content” (15 Mar 2025)
4. Nilay Patel (The Verge) – Interview with Zoom CEO Eric Yuan on AI Digital Twins (3 Jun 2024)
5. Megan Morrone (Axios) – “Executives love to clone themselves” (10 Jun 2025)
6. Tek News Feed (Medium) – “Digital Twins of People: The Rise of Personal AI Copies” (Jul 2025)