Asif Rehmani

Right now, using AI tools like ChatGPT or Claude feels more awkward than it should. Every time you want to start a new task, you’re pushed into creating a new chat or thread, and then you’re left hoping the AI somehow remembers context from a previous conversation. Most of the time, it doesn’t. That’s not because the AI is “dumb,” but because the underlying system simply can’t carry everything forward forever.

The root of the problem is the context window. AI models can only “see” a limited amount of conversation at once. If you keep chatting endlessly, the system has to resend more and more text back to the servers every time you say something. That costs real money in compute and bandwidth. From the companies’ perspective, forcing new chats is a practical way to keep costs under control, even if it’s annoying for users.

This is also why so many current features—projects, custom GPTs, system prompts, memory tools—feel like they’re designed for power users or developers. It’s very similar to the early internet days. Back then, using the web meant dealing with clunky browsers, strange interfaces, and search engines like Mosaic or Lycos that required patience and technical curiosity. Normal people eventually came along, but not until the tooling matured.

We’re still in that early phase with AI. Even in late 2025, it’s only been a few years since these systems landed in the hands of the general public. What we’re using today is not the final form—it’s more like a prototype of what’s coming.

Long term, this whole “new chat, new thread” model is going to disappear. Instead of juggling conversations, everyone will likely have a single AI—more like a general contractor than a chatbot. You’ll talk to it continuously, mostly through voice. It will remember you, understand long-term context, and pull up information only when it needs to. It’ll edit things, fetch data, contact other people, or delegate tasks to other systems on your behalf.

When context windows become effectively infinite—or at least feel that way—the experience will stop being fragmented. Conversations will be ongoing and natural, not boxed into threads. What feels clunky and technical today will eventually feel invisible. And when that happens, AI won’t feel like a tool you “use” anymore—it’ll feel like something that’s just there, working quietly in the background of your life.

Life truly starts when fear stops running the show. It all comes down to your relationship with fear—whether you let it control you or whether you choose not to feed it. Fear only grows when you give it attention and energy. The moment you stop fueling it, it begins to lose its grip.

Most fear is rooted in things that haven’t happened yet. It lives in imagined futures, worst-case scenarios, and stories we tell ourselves about what might go wrong. But when you live in the present—the only moment you actually have—you realize something powerful. The present is a gift, and when you fully show up for it, the future has a way of taking care of itself.

Living in the present doesn’t mean doing nothing or being careless. It means giving your best effort right now, with what’s in front of you. Do your work honestly. Show up fully. Act with intention. That’s all you’re ever truly responsible for. Worrying about the future doesn’t improve it, but being fully engaged in the present often does.

Fear becomes dangerous when it paralyzes you. When you stop moving, stop trying, or stop believing in yourself, you guarantee the very outcome you’re afraid of. If you’re frozen today, tomorrow doesn’t magically improve. Momentum is created by action, not by overthinking.

Choosing faith over fear doesn’t mean you’ll never feel afraid. It means fear doesn’t get the final say. Faith is trusting that even if things don’t unfold perfectly, you’ll be able to handle whatever comes. It’s choosing belief over doubt and courage over hesitation.

And don’t forget to enjoy the journey. Life isn’t meant to be a constant battle against worry. Have fun along the way. Laugh, experiment, stumble, learn, and keep moving forward. When fear steps aside, life opens up—and that’s where growth, joy, and possibility begin.

Faith over fear. Always.

There’s a strong chance artificial intelligence is heading toward its own “Google moment.” Before Google, the internet already existed for decades. Researchers, academics, and technical users knew how powerful it was, but for everyday people, it was messy, confusing, and hard to navigate. Google didn’t invent the internet—it made it usable. Suddenly, anyone could find what they wanted in seconds. That single shift changed everything.

AI appears to be on a similar path. Right now, we’re in the early phase where the tools are impressive but fragmented. You have different apps, models, prompts, and workflows. But eventually, there will likely be one dominant, general AI interface that feels personal and universal. One AI per person. People won’t just say “I’m using AI.” They’ll say, “I’m talking to my Emma,” or “my Mike,” or “my Sarah.” That AI will have a consistent personality, memory, and context, and it will act as the main gateway to information, tasks, and decisions—just like Google became the gateway to the web.

That moment hasn’t fully arrived yet, but it feels close. Probably a few years out.

The first major inflection point already happened, though. In November 2022, ChatGPT was released, and AI suddenly captured the world’s attention. AI had existed for years before that. It was already being used in research labs, recommendation engines, and enterprise systems. What changed wasn’t the intelligence itself—it was the interface. Being able to simply chat with a powerful language model made AI accessible to everyone.

If you want an internet parallel, that moment was similar to when Netscape and Mozilla browsers appeared in the mid-1990s. The internet didn’t suddenly come into existence then. It just became visible, approachable, and useful to the general public. That visibility sparked mass adoption, huge interest, and eventually massive investment.

AI is now following that same trajectory. The chat interface unlocked curiosity, funding, and experimentation at a global scale. The next phase is refinement and consolidation—moving from many tools to one trusted, personal AI that feels as natural as opening a browser or typing into a search bar.

That’s the real shift ahead: not just smarter AI, but simpler, more human access to it.

The way we think about movies is about to change forever. For over a century, Hollywood has defined filmmaking with massive sets, expensive equipment, and armies of producers and directors. But the future won’t be about cameras or actors—it will be about words. Movies will be written into existence.

Imagine a novelist sitting down at their desk, crafting a narrative with the same care they’d put into a great book. That story then becomes the prompt for artificial intelligence to generate a full-length, feature-quality film. No sets to build, no crews to hire—just imagination translated into language. The better the narrative, the better the movie.

This shift makes English majors—or really, anyone who has mastered the art of language—suddenly the most valuable “producers” of tomorrow. It won’t matter if the story begins in English, Spanish, Mandarin, or Swahili. AI won’t just make the movie; it will instantly translate and localize it for audiences around the world. A viewer in Tokyo could watch the same story as someone in New York, each experiencing it naturally in their own language.

The expensive Hollywood machine will no longer be a barrier. What will matter most is imagination—the ability to turn visions into words that AI can transform into cinema. It’s not the end of movies; it’s the start of a new golden age of storytelling, where the best writers get to see their worlds brought to life on screen.

An amazing future is coming, and it belongs to storytellers.

If we want AI to be a true sidekick—one that can assist, guide, and even anticipate our needs—it has to be able to see the world the way we do. Without that, it’s just a voice in your pocket, reacting to whatever you tell it rather than proactively helping. But making an AI “see” what you see isn’t as simple as sticking a phone camera in your shirt pocket.

Phones are bulky, awkward, and not designed for continuous outward-facing use. Most people don’t even have shirt pockets anymore, and even if they did, no one wants to look like they’re wearing a GoPro on their chest. Devices like the Humane AI Pin tried to solve this problem, but the market wasn’t impressed. It looked odd, was easy to forget, and never felt socially acceptable—three big strikes for everyday adoption.

The solution likely comes down to two more natural options:
• Smart Glasses with AR: Glasses already sit where your eyes are, so they’re the perfect place for outward-facing cameras. Combined with built-in microphones and speakers (possibly directional or bone-conduction speakers that only you can hear), they could feed your AI exactly what you’re seeing in real time. This also opens the door to augmented reality overlays—directions, reminders, translations—layered right onto your world.
• Camera-Enabled Earbuds: For people who don’t wear glasses or aren’t interested in AR, an alternative could be AirPods-style earbuds with tiny outward-facing cameras. They’d sit on top of your ear, providing a natural line of sight similar to your own. This option would be less conspicuous than glasses and still give your AI enough visual input to understand your environment.

Both approaches have challenges—privacy, battery life, and social acceptance among them—but they’re the most plausible paths to giving AI true “eyes.” Once solved, your AI could act less like a voice assistant and more like a real companion who understands your world as well as you do.

From Google to ChatGPT to Agents: The Next Leap in Virtual Assistance

For years, Google has been our go-to for quick answers. You type in a question, it gives you links—or, increasingly, direct snippets. It was a huge shift in how we found information. Then came ChatGPT and similar tools, changing the game again by moving from simple retrieval to full-on conversation. Instead of just spitting out a list of websites, these systems can summarize, explain, and even adapt their tone to the user. It feels less like searching and more like talking.

But this is just the beginning. The next stage is already forming: agents. Unlike today’s chatbots, agents won’t just provide information or draft responses—they’ll act on your behalf. Imagine telling an agent, “Book me a trip to New York next weekend,” and it not only finds the best flights and hotels but also compares options, checks your calendar, reserves the bookings, and updates your itinerary. That’s far beyond what a search engine or text-based assistant can do.

The shift follows a clear progression. Google solved “finding things.” ChatGPT solved “explaining and creating things.” Agents will solve “doing things.” And once they can do things, the scope of what they handle will expand rapidly—from simple tasks like scheduling meetings to far more complex workflows, like managing finances, coordinating projects, or even running parts of a business.

What makes this inevitable is the blend of better AI models, access to more tools, and the growing comfort people have with delegating digital work. At first, it will be small, practical tasks. But just like how we went from looking up trivia on Google to using it as a backbone for everyday decisions, agents will grow from handy helpers to indispensable partners.

In short, what feels futuristic now will soon feel ordinary. First we searched, then we chatted, and soon, we’ll delegate. And that shift is going to change not just how we use technology, but how we live and work altogether.

Fast forward to 2035, and chances are that everyone will have an AI companion by their side—always present, always listening, and always ready to respond. These won’t just be clunky apps or chatbots on a screen. They’ll live in your ear, your glasses, or whatever wearable tech has replaced today’s smartphones. Talking to your AI will be as natural as chatting with a friend.

Even here in 2025, we can already see the early versions of this future. Several companies have experimented with personal AI companions, but some have run into serious problems. A few have even shut down after their systems gave harmful advice or said things that put people at risk. Those failures highlight the challenges of building safe, responsible AI. But they’re also part of the process. Just like any new technology, it stumbles before it becomes reliable.

And here’s why this future feels inevitable: people crave connection. The loneliness crisis isn’t just a buzzword—it’s a real, growing problem, especially in places like the United States. Older generations feel it the most, but the truth is, loneliness cuts across all ages. Humans are wired for companionship, and AI is stepping in to fill that gap.

By 2035, the risks that exist today will likely be far more manageable. Guardrails will improve, and companies will be forced to innovate responsibly because the demand is simply too strong to ignore. People won’t just want AI companions—they’ll expect them, the same way we expect everyone to have a smartphone today.

It might sound futuristic now, but give it a decade and talking to your AI assistant could be as common as texting a friend. And in a world where companionship is sometimes hard to find, that could be one of the biggest shifts in daily life we’ve ever seen.

Typing and speaking have always been our main ways of communicating with technology and with each other. But both have limits—typing is slow, and speaking isn’t always practical in public. As devices get faster and more capable, the bottleneck is no longer the computer but our ability to input information. This is where brain-computer interfaces (BCIs) come in.

BCIs are systems that let the brain talk directly to devices. Right now, in 2025, we’re seeing early examples of this technology: people moving robotic arms with their thoughts, controlling cursors, or even typing simple words without touching a keyboard. These are baby steps, but they point toward a future where “thinking” becomes the new way of interacting with machines.

Within the next hundred years, BCIs could shift from novelty to norm. Imagine being able to send a message to someone across the world simply by thinking it—no typing, no speaking, just brain-to-brain communication (with permission, of course). This wouldn’t just speed up communication; it would fundamentally change how we connect with others, blurring the line between thought and expression.

But with great potential comes serious risk. If a brain can transmit information, it can also be hacked. The idea of someone intercepting, stealing, or manipulating thoughts sounds like science fiction, but so did smartphones a century ago. By 2125—or even earlier—this could be a real challenge. Security, privacy, and ethical safeguards will need to evolve alongside the technology to keep people safe.

The trajectory is clear: as our devices get faster, our methods of interaction must too. Brain-to-device and brain-to-brain communication may one day replace keyboards and conversations entirely, transforming not just technology, but society itself.

Not everyone enjoys talking about themselves. For many, questions like “How’s work?” or “How’s business?” can feel uncomfortable. You might not know what to say, or you might not want to give away too much. Instead of dodging conversations altogether, there’s a simple way to shift the focus: let the other person do the talking.

The easiest way to break the ice is with something kind and genuine. A quick compliment — on their outfit, their energy, or something they recently accomplished — immediately puts the spotlight on them and sets a positive tone.

Most people love talking about their lives. Ask about their family, work, health, or what they’ve been up to lately. The key is to stay curious. By asking thoughtful questions, you not only keep the conversation flowing but also take the pressure off yourself.

People prefer conversations where they feel heard and valued. When you give them room to talk about themselves, they leave the interaction feeling good — and by extension, they like you more. It’s a win-win: you avoid uncomfortable questions, and they walk away with a positive impression.

Of course, being “on” all the time can be exhausting. If you find yourself drained, give yourself permission to step away. Take a short break, recharge, and then rejoin when you’re ready. Conversations should feel natural, not forced.

The secret to navigating conversations isn’t having the perfect answers. It’s about being curious, listening well, and letting others talk about their favorite subject: themselves. Do this consistently, and you’ll not only avoid awkward moments but also build stronger, more enjoyable connections

In every relationship—whether it’s personal or professional—people tend to fall into one of three categories: givers, takers, and matchers.

Takers are the ones who are always on the receiving end. They expect support, time, favors, and energy from others, often without offering much in return.

Givers are the generous ones. They give freely—time, energy, help, kindness—often without expecting anything back.

Matchers operate on a kind of social balance sheet. They give, but they also expect fairness. You scratch my back, I’ll scratch yours.

So, which one are you?

Personally, I believe givers are the best kind of people. But there’s a catch: it matters who you’re giving to.

Giving shouldn’t mean draining yourself to keep someone else afloat—especially if that someone is a taker who never reciprocates. Constantly giving to takers doesn’t make you noble—it just makes you exhausted.

But when givers connect with other givers or even matchers, something powerful happens. There’s mutual care, shared effort, and a sense of balance. You give, and instead of being depleted, you feel energized and appreciated.

The key is this:

👉 Be a giver—but give in a way that fills you up, not empties you out.

Choose relationships where generosity is mutual. Know your limits. Recognize when giving becomes self-sacrifice. It’s not selfish to want your giving to feel good—it’s smart.

Because giving isn’t just about what you do for others. It’s also about how you treat yourself in the process.