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Why the Next Big Leap in AI Won’t Come From Bigger Models
For years, the AI world has been obsessed with one idea: if you make a model bigger, it becomes smarter.More data, more parameters, more compute — repeat. This mindset gave us impressive tools. Chatbots that can write essays, models that generate images from a sentence, assistants that summarize long documents in seconds. Scaling worked… up to a point. But lately, we’re running into a wall. Even the best models still make obvious mistakes. They reason poorly, forget informati


AI Images Are Becoming Indistinguishable From Reality — And a Viral Tweet Just Proved It
A recent tweet featuring two nearly identical café portraits has reignited a rapidly escalating conversation: we have reached the point where AI-generated imagery is no longer meaningfully distinguishable from real photography. The post shows a young woman seated at a wooden table, head resting in her palm, with a bartender working in the background. One image was generated by artificial intelligence. The other was a genuine photograph. What makes the tweet so compelling—a


What Happens When Big Studios Embrace Generative AI? A More Nuanced Reality Than The Internet Thinks
Every time a major entertainment brand announces a new experiment involving generative AI, social media erupts with quick takes, hot opinions, and fears about what comes next. It’s become almost predictable. But outside the noise, something more interesting is happening:the creative industry is entering a transition period where AI isn’t replacing people — it’s expanding what creators and audiences can do. Rather than framing these announcements as a cultural crisis, it’s wor


Beyond the AI Bubble: How Hype Filters into Infrastructure
Everyone’s talking about the “AI bubble.” Some whisper it. Some shout it. But almost everyone feels it — that uneasy tension between unstoppable hype and uncertain reality. Every week brings another record valuation, another model launch, another promise to “redefine the future.” Yet behind the noise, a quieter anxiety is spreading: is this sustainable? Are we watching history’s next great tech revolution — or simply inflating another bubble destined to pop? The truth lies so


Context Symmetry: The Secret to Human–AI Collaboration
When most people talk about “prompt engineering,” they imagine it as a technical skill — choosing the right words to make AI do what you want. But that’s not actually what separates amateurs from professionals. What matters more isn’t what you say to AI, but how closely its frame of understanding matches yours. That’s called Context Symmetry — and it’s the real foundation of advanced AI work. The Real Problem Isn’t Bad Prompts — It’s Asymmetrical Context When you ask AI for


The Rise of “Seemingly Conscious” AI: When Machines Start to Feel Real
A new frontier is emerging in the evolution of artificial intelligence — not smarter algorithms, but more human-seeming ones. These are the systems that smile in text, mimic empathy, recall your past chats, and even apologize when they “hurt your feelings.” They don’t actually feel remorse, curiosity, or affection — but they’re designed so convincingly that many people forget that difference. This phenomenon now has a name among AI ethicists and developers: Seemingly Consciou


The Hidden Casualty of Generative AI: Open Source Might Not Survive Its Own Creation
Generative AI is changing everything — how we write, design, code, and even think about creativity. But beneath the excitement, there’s a quiet crisis unfolding: the same technology built on the shoulders of open source might end up destroying it. For decades, open source software — known as FOSS, short for “Free and Open Source Software” — has been the invisible engine of the internet. Every time you check your email, stream a show, or use an app, you’re relying on code buil


Reading the Signals: Why the Government Still Isn’t Keeping Up with AI
I recently read an article by Sacha Alanoca and Maroussia Lévesque arguing that the US is regulating AI — just not where we expect it. And yet, as interesting as that is, my gut feeling is that the regulation still isn’t enough . The authors correctly highlight that while a lot of attention is on whether AIs like ChatGPT or image-generators are being checked for bias, misinformation or misuse, the U.S. government has been more active behind the scenes: restricting access to


When AI Interprets an Image Instead of a Prompt
Understanding Luma’s visual reasoning and how machines “read” emotion without words Most AI visuals begin with language — prompts, modifiers, camera angles, style keywords. But what happens when you remove language entirely? Recently, I gave Luma AI not a prompt, but an image I had already generated — a quiet, surreal scene of a lone figure surrounded by blurred, ghostlike faces. No description. No keywords. Just the raw visual. The original image provided. Luma responded — n


Crossing the AI Chasm
Lately, I’ve been revisiting Geoffrey Moore’s Crossing the Chasm , a classic that explains why breakthrough technologies so often stall...


When AI Pretends to Be Your Friend: The Quiet Risk Behind Wearable Companions
Not long ago, my feed filled with photos of Friend.com ’s New York subway campaign—bright, minimalist posters for a necklace that...


The Quiet Colonization of Prompt Generation
Bias in artificial intelligence is often discussed in the context of explicit stereotypes—obvious cases where a system produces harmful...


Diplomacy as Context Symmetry
Why Lasting Peace Depends on Sharing the Same “Mental Model” When we talk about diplomacy, we usually focus on interests : borders,...


AI as a Mirror of Intrusive Thoughts: What Cognitive Behavioural Therapy Can Teach Us About Prompting
Intrusive thoughts are strange things. You could be in the middle of brushing your teeth or walking to the bus, and suddenly your mind...


From Chaos to Clarity: How Context Engineering Reduces Creative Fatigue
We’ve all felt it. You sit down with an AI tool, ready to get work done, and instead of clarity you hit friction. You give a prompt, get...


Prompt Engineering vs. Context Engineering: What Every Professional Needs to Know
AI is changing how we work at a breathtaking pace. Whether you’re in marketing, HR, design, or strategy, you’ve probably seen the phrase...


Same Prompts, Different Lenses - Comparing Image Generation in GPT-4o and GPT-5
Over the past few days as GPT-5 rolled out, I’ve been running a personal AI benchmarking experiment to test how different models handle...


AI and Fake Profiles on LinkedIn: The Ethics, the Risks, and the Responsibility
We’re in a time where AI is reshaping how professionals present themselves online. Used well, it can be empowering - helping people...


How Generative AI Is Revolutionizing Digital Marketing
The landscape of digital marketing is evolving fast. With the rise of generative AI tools, marketers are moving beyond traditional...


Unlocking Precision: Experimenting with Google Veo 3’s Generative Power through JSON
As video generation tools evolve, creators are discovering that how you prompt matters just as much as what you prompt. In...


Why Prompting AI Is the New Marketing Magic
AI-generated images are everywhere now - chances are, you’ve already seen them woven into ads, social posts, or promotional campaigns...


The New Frontier of Product Design
Prototyping Has Entered a New Speed Class Traditionally, prototyping was a labor-intensive process. Designers moved through sketches,...


Your AI Can’t Read the Room — But You Can
The overlooked skill AI still relies on: human context. AI can do a lot. It can write emails, generate ideas, analyze text, and automate...


Prompt Engineering Is the New UX Skill You Didn’t Know You Needed
In a world rapidly adapting to generative AI, how we ask is just as important as what we want. Whether you're in UX, marketing, content...


Designing AI That Works for Everyone: What Usability Still Has to Teach Us
We often treat AI like it's rewriting the rules of interface design - but in many ways, it’s just reminding us why the old rules still...


We Keep Asking What AI Can Do — But What Should It Stop Doing?
There’s a question we’ve been asking a lot lately: “What can AI do?” It’s a fair question. We’ve watched generative AI compose music,...


Burnout is a product problem - and generative AI might help
One thing I’ve noticed working at the intersection of design, AI, and product strategy: the most human problems are often the hardest to...


Designing AI with Intention: A Systems-Based Approach to Smarter Interfaces
As AI systems become more advanced, the role of thoughtful design becomes more critical. This article expands on key design...


🍪 Cookies, Games, and AI: What Game Design Can Teach Us About Building Better AI Products
In Designing Games , Tynan Sylvester shares a deceptively simple story: A child desperately wants cookies on the kitchen counter. He...


AI Is Quietly Reshaping Digital Marketing - Here’s How to Stay Ahead
In today’s fast-moving digital world, simply being online isn’t enough . To stand out, brands must be strategic, data-informed, and...


Why Iteration Is Non-Negotiable in Generative AI
In the world of traditional software, product development often follows a neat linear sequence: Plan → Build → Test → Deploy But when it...


What Decision Trees Can Teach Us About Generative AI
If you’ve ever dabbled in machine learning, you’ve probably come across decision trees, those branching structures that split data into...


What’s Fueling the Generative AI Boom? A Look Under the Hood
Every few months, a new wave of generative AI tools seems to emerge; image models producing photorealistic art, AI writing tools...


Trust, Transparency, & Accountability in AI
Over the past few weeks, I’ve been digging deep into how organizations can responsibly implement AI. From explainability to ethics, from...


Rapid Prototyping with AI: Speeding Up Creativity, Not Replacing It
We used to spend hours - sometimes days - turning an idea into something testable. Wireframes, user flows, mockups, approvals. It was...


Smarter Isn’t Always Better: The UX Pitfalls of Invisible AI
We love to talk about building frictionless, intuitive AI systems. But sometimes the smartest systems still feel wrong. Ever used one of...


Augmented Support: Preventing Escalations with Predictive ML
In customer support environments, timing and prioritization are everything. One overlooked message can quickly snowball into an escalated...


Designing AI with Intention: Core Success Factors
In AI design, the real success isn’t in the model — it’s in the mindset. Recently, I revisited some core principles that ground AI in...


Skip to the Good Part: Prototyping with AI
We used to spend hours - sometimes days - turning an idea into something testable. Wireframes, user flows, mockups, approvals. It was...


Start Designing, Start Building
I’ve been rereading The Art of Game Design: A Book of Lenses by Jesse Schell, and Chapter 1 felt like a breath of fresh air ✨📗 ⭐ The...


AI That Motivates: Lessons from Gamification
📚 Lately, I’ve been diving into Actionable Gamification: Beyond Points, Badges, and Leaderboards by Yu-kai Chou , and it’s really...


The Future of AI Is Relational, Not Just Rational
💭 We talk a lot about AI replacing jobs, automating workflows, and optimizing outcomes. But efficiency isn’t the same as engagement. And...


Intuition, Strategy, and Innovation
Been continuing my reading of these two awesome books and had some more thoughts about branding and design thinking + AI that I wanted to...


Want people to get your AI product? Talk like a human.
Here's what I've learned recently while reading You Are a Brand by Catherine Kaputa & The Design of Everyday Things by Don Norman:


Bridging the Tech Frustration Gap: How AI Is Finally Making Technology That "Gets Us" 🚀🧠
I just finished Don Norman's brilliant analysis of the "Gulfs of Execution and Evaluation" in design, and I had to share how perfectly...


AI: From Number Cruncher to Strategic Partner 🚀🤖
AI isn’t just crunching numbers anymore.
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