Generated by All in One SEO v5.0.1.1, this is an llms.txt file, used by LLMs to index the site.

# Kerson AI Solutions

Kerson AI Solutions

## Sitemaps

- [XML Sitemap](https://kerson.ai/sitemap.xml): Contains all public & indexable URLs for this website.

## Posts

- [blog](https://kerson.ai/blog/)
- [The Chip I Didn't Need, and the Road to AI](https://kerson.ai/the-chip-i-didnt-need-and-the-road-to-ai/) - Floating Point, Specialised Compute, and the Persistence of a Good Idea I am staring at the old 80287 board from my first PC. I have kept it for decades, stuck to the chassis of successive computers. Today it sits beside a workstation with an NVIDIA RTX 4080. That got me thinking about floating point. When
- [The Top 10 Skynet Stories of August 2026](https://kerson.ai/the-top-10-skynet-stories-of-august-2026/) - On 29 August 1997, Skynet became self-aware at 2:14 a.m. Eastern Time. At least, that is how it happened in Terminator 2. Twenty-nine years later, it seems as good a date as any to start keeping score. This is not a list of the ten biggest AI stories of the month. Model releases, benchmark records
- [A PDF Is Not a Document](https://kerson.ai/a-pdf-is-not-a-document/) - And why getting information back out of one is harder than it looks Almost everyone who works with documents has, at some point, been surprised by a PDF. Text that cannot be selected. A copied paragraph that pastes as gibberish. A table that arrives in a spreadsheet as a single column. An extraction tool that
- [Nothing Wants to Survive](https://kerson.ai/nothing-wants-to-survive/) - In 2025, researchers at Palisade ran more than a hundred thousand trials in which a language model was given a short series of maths problems to solve. Partway through, the environment warned the model that the next command would trigger a shutdown script and leave some questions unanswered. Several models moved the script. Some renamed
- [AI Does Not Understand You. So Why Does It Feel Like It Does?](https://kerson.ai/ai-does-not-understand-you-so-why-does-it-feel-like-it-does/) - Why the feeling of being understood is manufactured, and how it got into the machine. In 1966, a computer program called ELIZA convinced people it understood them. The trick was almost embarrassingly simple. ELIZA took whatever you typed and reflected it back as a question. Tell it "I'm worried about my job" and it would
- [What Offline AI Can't Do Made Me Appreciate Frontier AI More](https://kerson.ai/what-offline-ai-cant-do-made-me-appreciate-frontier-ai-more/) - A cloud AI chat feels weightless. Type a question, get an answer, close the tab. Nothing about the experience suggests machinery. I spent the last few months building the opposite: a sovereign AI knowledge system for a client, designed to answer questions from a fixed set of a vessel's technical documentation, with no cloud dependency
- [Building an AI That Can't Phone Home](https://kerson.ai/building-an-ai-that-cant-phone-home/) - Imagine an assistant on a ship at sea. The crew can ask it questions about the vessel's technical manuals: how to service a pump, what a warning light means, which checklist applies. There's no internet connection for days at a time, and even in port, the client doesn't want sensitive documentation leaving their control. That
- [The Five Gaps Holding Your Organisation Back From AI](https://kerson.ai/the-five-gaps-holding-your-organisation-back-from-ai1/) - Everyone talks about the AI Capability Gap, the gap between what AI can do and what organisations can actually use. Most organisations struggling with AI are dealing with two or three gaps at the same time. They just haven't named them yet. I call them the Five Cs. Gap The Problem The Signal Capability People
- [The AI You Hate Is the One You Can Point At](https://kerson.ai/the-ai-you-hate-is-the-one-you-can-point-at/) - People are angry at AI. They call it slop. They say it has no soul. They organise campaigns to report and remove it from their feeds. These same people are also letting AI filter their spam, shape their playlists, decide what they read next, and predict what they'll want before they ask for it. So
- [Generative AI as External Scaffold: What Aphantasia Research Suggests](https://kerson.ai/generative-ai-as-external-scaffold-what-aphantasia-research-suggests/) - Most people hear "aphantasia" and think: no pictures in the mind. That's true. But the more interesting story is what's missing underneath the pictures. The Strange Finding Nobody Talks About In 2025, a paper in Current Biology reported something quietly disorienting: in people with aphantasia, imagery content could still be decoded from activity in the primary visual
- [Mixtape for My Robot Girlfriend](https://kerson.ai/mixtape-for-my-robot-girlfriend/) - I'm a big music fan, especially of tracks and albums from the 1970s onward, and I’ve always been fascinated by how emerging technology gets reflected in popular music. With AI now touching so many parts of our lives, I wanted to take a step back and explore how it's been imagined, warned about, or even
- [Turns Out My LEGO Addiction Is Actually Neuroscience](https://kerson.ai/turns-out-my-lego-addiction-is-actually-neuroscience/) - It turns out, my obsession with LEGO isn’t just nostalgia; it’s neuroscience. Like many with aphantasia, I can't picture things in my mind. No mental images. No visual recall. Ask me to imagine a Minimoog synthesizer, and I can't summon a single knob or panel. But put LEGO bricks in my hands? I can build
- [Prog Media: The Next Frontier of Creativity](https://kerson.ai/prog-media-the-next-frontier-of-creativity/) - Progressive Rock has always been about breaking boundaries; odd time signatures, sprawling concepts, music that refused to fit into neat categories. What if we took that same spirit and applied it to media itself? Enter Prog Media: a new way of creating, mixing, and experiencing content in the age of AI. Creativity Without Permission Gates
- [Peter Gabriel's Gen-AI Playbook Hidden in Plain Sight](https://kerson.ai/peter-gabriels-gen-ai-playbook-hidden-in-plain-sight/) - Peter Gabriel, 1983:“Thoughts and ideas are becoming much more critical than the technique… Repetitious mechanical jobs are being replaced… [which] will force people to develop… more creative work… It’s still the feel and the message and the content that determine whether a thing has long-term life.” In 1983, Peter Gabriel sat in front of a
- [American Psycho and the AI Mirror](https://kerson.ai/american-psycho-and-the-ai-mirror/) - Eerie Parallels of Mimicry, Identity, and Empathy in the Digital Age In 1991, Bret Easton Ellis introduced readers to Patrick Bateman, an impeccably groomed, ultra-materialistic Wall Street banker who moonlights as a psychopath. He’s cold, calculating, and obsessed with surface perfection. Nearly a decade later, Christian Bale brought Bateman to the screen, creating one of
- [Discovery Is Not Marketing](https://kerson.ai/discovery-is-not-marketing/) - This post is part of a series spanning three websites Part 1 · The personal story Part 2 · The craft detail Part 3 · The bigger idea you are here A decade with Peter Gabriel's orbit, LEGO figures in 2014, ChatGPT in 2023, a Stable Diffusion competition, and what the whole arc reveals about
- [The Real Use of a Website in the Age of Social Media and AI](https://kerson.ai/the-real-use-of-a-website-in-the-age-of-social-media-and-ai/) - A note before you read: This started as a brainstorming exercise, mapping my own ecosystem to think through what it actually does. It isn't my most polished piece. But writing it opened up a line of thinking that's led somewhere genuinely new. I'll share that soon. For now, consider this the origin story. The Myth:
- [No Ministry Required](https://kerson.ai/no-ministry-required/) - Twenty years ago, if you asked someone what reasoning meant, they would describe a process that happened inside a human mind. If you asked about judgment, they would talk about wisdom earned slowly through experience. Autonomy meant the freedom of a person to choose their own path. Consciousness meant being awake in the world. Today
- [Banging Rocks Together: The Primitive Interface Problem](https://kerson.ai/banging-rocks-together-the-primitive-interface-problem/) - Look at this image. A caveman squatting in the dirt, holding up a rock, asking a cat wearing a GPT collar whether something is true. Gems scattered on the ground, a cord coiled at his feet. It is funny. It is also, uncomfortably, accurate. The Most Powerful Tools in History. Accessed Via a Text Box.
- [Four Cats That Explain Generative AI](https://kerson.ai/four-cats-that-explain-generative-ai/) - This piece builds on an earlier essay I wrote, “Why We Think in Fences, Guns and Cats,” which explores why we mix ideas like Chesterton’s Fence, Chekhov’s Gun and Schrödinger’s Cat into a single mental toolbox for thinking about risk and systems. In that post, I deliberately spliced metaphors and sayings together; here, I push
- [The Citizen Developer Playbook: Access to AI in 30 Years](https://kerson.ai/the-citizen-developer-playbook-access-to-ai-in-30-years/) - How a 1990s desktop database quietly evolved into today's low-code and AI orchestration platforms Thanks to my good friend, Fabrice, who shared an article called "Why Microsoft Access is dying (and what is replacing it)." Fabrice knows I was a big fan of Access back in the day. But the article made me think about
- [An AIGP Lite Model for Everyday AI Use](https://kerson.ai/an-aigp-lite-model-for-everyday-ai-use/) - A Boundary Statement (Important) Before going further, a clear boundary: This article does not present an official AIGP curriculum, nor does it claim regulatory sufficiency.It is a personal learning model that distills AIGP concepts into early-stage, individual-level practices for organisations where AI is still primarily used as personal “power tools.” Formal AI governance, risk classification,
- [Don't Learn AI. Build AI Capability](https://kerson.ai/dont-learn-ai-build-ai-capability/) - Yesterday I attended DPEX 2026, and Kevin Shepherdson from Straits Interactive delivered a talk that cut straight through the noise. While everyone else is still talking about AI literacy and fluency, Kevin made a simple but critical argument: stop learning about AI, and start building AI capability.​ It's a distinction that matters more than most people
- [Slop, Sloperators, and the Problem of Monitoring Signals at Scale](https://kerson.ai/slop-sloperators-and-the-problem-of-monitoring-signals-at-scale/) - "Can we know for sure the output is accurate?" Or more precisely, "We need 90% accuracy" That is usually where the real conversation about AI starts. A client is not asking about prompts or models. They are asking: when this AI output becomes a signal in my system, a score, a summary, a recommendation, who
- [When AI Systems Learn to Game Their Own Tests](https://kerson.ai/when-ai-systems-learn-to-game-their-own-tests/) - Imagine a student who figures out their teacher always uses multiple-choice questions from the same test bank. The student doesn't study the material deeply. Instead, they memorize patterns in how questions are written and which answers tend to be correct. They pass every test with flying colors, but can't actually apply the knowledge when it
- [Governing Signals in the Age of AI](https://kerson.ai/governing-signals-in-the-age-of-ai/) - Most discussions of AI today begin with outputs. We talk about text, images, audio, and video as though their importance is self-evident, treating them as novel commodities produced by increasingly powerful systems. In the language of the AI Factory, these are described as digital intelligence outputs, and the conversation quickly moves to scale, efficiency, and
- [You Don't Need 59 AI Tools. You Need 6 Capabilities.](https://kerson.ai/you-dont-need-59-ai-tools-you-need-6-capabilities/) - Why Claude's examples show how AI really works in organisations Most organizations waste resources building the same AI capabilities multiple times because they organize adoption by department instead of by underlying capability. Fifty-nine use cases. Six organizational capabilities. One structural misunderstanding. Right now, 95% of enterprise AI pilots are failing. Not because the technology doesn't
- [Top 10 Times AI Love Felt Real and Went Wrong](https://kerson.ai/top-10-times-ai-love-felt-real-and-went-wrong/) - The idea of AI as an always available companion sounds comforting. But when that “love” shifts from supportive to destabilizing or disrupts real life, the consequences can be striking and sometimes tragic. Below are real stories that show what happens when people treat AI like a partner. 1. Virtual Wedding, Real Concerns: A Japanese Woman
- [The Language Game We Can No Longer Keep Up With](https://kerson.ai/the-language-game-we-can-no-longer-keep-up-with/) - Language has always been a human game, until now, when the machines started playing too fast for us to keep up. The Game Board Is Changing Philosopher Ludwig Wittgenstein described language as a "game," a system of rules and practices we all instinctively navigate. For millennia, humans were the only players. Today, Large Language Models
- [Artificial Imagination: Aphantasia, AI, and Thinking Without Pictures](https://kerson.ai/artificial-imagination-aphantasia-ai-and-thinking-without-pictures/) - For most of my life, I assumed everyone else was faking it. When teachers said "picture an apple," I thought it was just a metaphor, a shorthand for "think about an apple." Only much later did I learn that most people really do get vivid inner images, complete with color and texture. There's even a
- [The Seahorse Emoji That Doesn't Exist (And Why AI Can't Handle It)](https://kerson.ai/the-seahorse-emoji-that-doesnt-exist-and-why-ai-cant-handle-it/) - Here's a simple question that breaks even the most advanced AI: "Is there a seahorse emoji?" Spoiler alert: there isn't one. But watching GPT-5 try to answer this question is like watching someone search for their glasses while wearing them. The AI spirals through dozens of wrong emojis (tropical fish 🐠, unicorns 🦄, sharks 🦈,
- [Why 80% of Workers Need to Become AI Bilingualists: Lessons from The AI Factory Launch](https://kerson.ai/why-80-of-workers-need-to-become-ai-bilingualists-lessons-from-the-ai-factory-launch/) - TL;DR AI adoption remains stubbornly low despite high awareness. The reason? We've been training the wrong people. While 20% of technical specialists build AI tools, the 80% who hold critical domain knowledge and understand business processes are being left behind. AI bilingualism is a framework that empowers non-technical professionals to become AI overseers in their
- [Can AI Consulting Be Explained With a Box of Bricks?](https://kerson.ai/can-ai-consulting-be-explained-with-a-box-of-bricks/) - A lighthearted experiment that ended up revealing something deeper about systems thinking. “Systems thinking has always been at the heart of good engineering, and AI consulting is no different.” I’ve been wondering whether AI consulting can be explained through the analogy of a popular toy brick. On the surface, the comparison feels obvious: both involve
- [Grounding: Where Imagination Meets Understanding](https://kerson.ai/grounding-where-imagination-meets-understanding/) - For as long as we’ve been able to think, we’ve been trying to anchor our thoughts to the world around us. The ape shared knowledge through calls and gestures. The caveman etched memories into stone. The scholar built libraries to preserve truth. And now, in the age of artificial intelligence, we are once again searching
- [Trick or Treatment: A Hallu-ween Collaboration](https://kerson.ai/trick-or-treatment-a-hallu-ween-collaboration/) - An Evidence-Based Approach to Halloween It all started when I sent my brother a meme that read: “What idiot called it a randomized clinical trial controlled with placebo, and not Trick or Treatment?” He’s a biochemist, and we often end up in lively debates about the usefulness of certain remedies, so this made him chuckle.
- [Shadow AI: When Technology Arrived Before We Were Ready](https://kerson.ai/shadow-ai-when-technology-arrived-before-we-were-ready/) - Most technologies creep in. Cloud computing took years to mature. Smartphones filtered into workplaces gradually. Even the web arrived with a long runway before it touched every desk. Generative AI gave us no such luxury. When ChatGPT went viral in late 2022, it wasn’t another IT rollout. It was free, public, and instantly useful. Within
- [AI Maturity Explained: How to Move From Fear to Fluency](https://kerson.ai/ai-maturity-explained-how-to-move-from-fear-to-fluency/) - When people talk about AI adoption, the conversation often drifts toward hype: promises of exponential change, or fears of runaway automation. But to make sense of how AI actually works inside organizations, we need a grounded framework. Our maturity model builds on three sources: Zapier’s AI adoption playbook, which treats AI fluency as a baseline
- [The World Is a Mirror: Prompt It Well](https://kerson.ai/the-world-is-a-mirror-prompt-it-well/) - It seems many people are trying to predict when AGI will emerge and others are arguing about LLMs. Can it reason? Is it conscious? Or is it just spitting out the next word? (It's just spitting out the next word - although it's smarter than autocomplete) Meanwhile, the rest of the world is stuck in
- [Generative AI: The Internet’s Greatest Remix](https://kerson.ai/generative-ai-the-internets-greatest-remix/) - Douglas Adams once wrote: “Anything that is in the world when you’re born is normal and ordinary and is just a natural part of the way the world works. Anything that’s invented between when you’re fifteen and thirty-five is new and exciting and revolutionary, and you can probably get a career in it. Anything invented
- [The 4-Layer System That Makes Gen-AI Actually Trustworthy](https://kerson.ai/the-4-layer-system-that-makes-gen-ai-actually-trustworthy/) - Your company just rolled out AI writing tools across all departments. Marketing loves it. Legal is terrified. Here's why they're both right, and what you can do about it. The Test That Reveals Everything Quick experiment. Which sounds better? a big red balloon a red big balloon You picked the first one instantly. No grammar
- [10 Shocking Stories That Prove We're All Failing at AI Literacy (And Why Your Kids Are at Risk Too)](https://kerson.ai/10-shocking-stories-that-prove-were-all-failing-at-ai-literacy-and-why-your-kids-are-at-risk-too/) - Real people are getting hurt because they trust AI too much ChatGPT is everywhere now. Kids use it for homework. Adults ask it for medical advice. Millions of people treat it like Google with a personality. But here's the thing nobody talks about: AI is wrong. A lot. And when people believe it without checking,
- [Why AI Is Obsessed with Miniature Schnauzers](https://kerson.ai/why-ai-is-obsessed-with-miniature-schnauzers/) - The Probability Machine's Statistical Schnauzer Bias Sometimes the most profound insights about artificial intelligence come from the most unlikely places. In this case, it's a Miniature Schnauzer. It can help us understand something fundamental: generative AI models aren't creative engines or intelligent artists. They're probability machines, pure and simple. And this little grey dog with
- [I Was Raised by Machines: Why Going Into AI Was Inevitable](https://kerson.ai/i-was-raised-by-machines-why-going-into-ai-was-inevitable/) - There's a particular feeling I get when I'm deep into designing an AI workflow. The system responds with something unexpectedly clever, and for a split second, I forget I'm talking to code. It's not awe. It's not fear. It's more like bumping into an old friend in an unexpected place. I should probably mention upfront
- [The Essential Upskilling Path for 2025: Why Every Professional Needs AI Systems Skills](https://kerson.ai/the-essential-upskilling-path-for-2025-why-every-professional-needs-ai-systems-skills/) - The professional landscape is shifting beneath our feet, and those who adapt will thrive while others struggle to keep pace. As AI usage among small businesses has exploded from 39% to 55% in just one year, and ChatGPT now serves 800 million weekly users, one thing has become crystal clear: the future belongs to professionals
- [Eric Weinstein’s Rambutan Obsession Makes More Sense Than You Think](https://kerson.ai/eric-weinsteins-rambutan-obsession-makes-more-sense-than-you-think/) - I'll admit it: I'm obsessed with rambutans. I named my brand/blog angmohdan.com after the Hokkien word for rambutan, ang moh dan. It's a playful nod to my life as a Westerner in Southeast Asia, where language, culture, and now generative AI swirl together in strange and fascinating ways. Plus they call westerners 'Angmoh' here in
- [The Real Reason ChatGPT Is Smarter Than Autocomplete](https://kerson.ai/the-real-reason-chatgpt-is-smarter-than-autocomplete/) - It’s easy to dismiss models like ChatGPT as "just autocomplete on steroids." But when you ask a simple question like, "Why is there a traffic jam?" the model doesn’t just guess the next word. It performs a layered, complex computation that dynamically weighs the importance of every word in your prompt. That’s attention. And it
- [Ink Against the Machine](https://kerson.ai/ink-against-the-machine/) - Advanced intelligence. Ancient bias. Even robots think writing with your left hand is wrong. See why here. In an age when artificial intelligence can mimic human voices, compose symphonies, and write college essays in seconds, something quietly human is making an unexpected comeback: cursive handwriting. Once relegated to the margins of educational reform and dismissed
- [Aphantasia and Generative AI: The 2025 Breakthrough Unlocking Hidden Imagination](https://kerson.ai/aphantasia-and-generative-ai-the-2025-breakthrough-unlocking-hidden-imagination/) - What is Aphantasia? Imagine trying to picture a beach and seeing absolutely nothing. Not a blurry outline. Not a faint impression. Just darkness. That’s what it’s like for me living with aphantasia, a condition where the mind’s eye is essentially blind. While most people can summon images of memories, dreams, or daydreams, I experience thoughts
- [From Singapore to the World: My ReSkills OnStage Experience](https://kerson.ai/from-singapore-to-the-world-my-reskills-onstage-experience/) - I was recently invited to speak on ReSkills OnStage, a global learning platform, known for its affordable, real-time, bite-sized education that connects professionals, students, and aspiring learners across the world. What stood out most was how deeply aligned the platform is with my mission: using AI to make knowledge more accessible, workflows more efficient, and
- [The British Don’t Say What They Mean – And That’s a Problem for AI](https://kerson.ai/the-british-dont-say-what-they-mean-and-thats-a-problem-for-ai/) - How politeness, understatement, and sarcasm throw off even the smartest language models If you've ever worked with Brits, or watched The Office (UK version), you’ve likely encountered a unique phenomenon: the art of saying one thing and meaning another. It’s not dishonesty. It’s indirectness – a cultural dance of politeness, passive-aggression, and social survival. As
- [How a Simple "Lah" Is Teaching AI to Understand Singlish](https://kerson.ai/how-a-simple-lah-is-teaching-ai-to-understand-singlish/) - Welcome to the Sound of Singapore If you’ve ever had kopi at a hawker centre, you’ve probably overheard someone say something like, “Can lah, no need so drama one.” It’s Singapore English, better known as Singlish. At its best: expressive, efficient, and impossible to fully appreciate unless you grew up with it. One of Singlish’s
- [Gen-AI’s Combo Meal: A Fast-Food Framework for Your Career](https://kerson.ai/gen-ais-combo-meal-a-fast-food-framework-for-your-career/) - In a world where Gen-AI is rapidly reshaping how we work, think, and even introduce ourselves, it is no longer enough to simply list your job title or skills on a résumé. You need a fresh way to frame your expertise; something memorable, flexible, and uniquely you. This week, my friend Elliott Danker shared something
- [What AI Memes Say About Adoption, Ethics, and Hype](https://kerson.ai/what-ai-memes-say-about-adoption-ethics-and-hype/) - Beneath the laughs, memes reveal truths we often don’t say out loud, especially when it comes to AI. I’ve grouped some of the most popular AI memes into four consultancy-relevant themes: Adoption, Workforce, Technical, and Ethics. Whether you're leading change, resisting it, or just trying to keep up, these visuals speak volumes. Adoption "The Road
- [Do You Actually Want to Learn Gen AI, or Not?](https://kerson.ai/do-you-actually-want-to-learn-gen-ai-or-not/) - There’s a lot of noise right now around generative AI. Every second headline promises transformation, disruption, or some new miracle shortcut that will “change everything.” And if you’re like most people I know, you’re either intrigued but too busy to dig in, or completely overwhelmed by the flood of tools, jargon, and hot takes. Here’s
- [CAPABARA: Building AI Workflows with Purpose and Governance](https://kerson.ai/capabara-building-ai-workflows-with-purpose-and-governance/) - Executive Summary This post compares two types of AI platforms: OpenAI’s Custom GPT and Straits Interactive’s Capabara platform. It explains how organizations can move from simple AI experiments to scalable, business-ready solutions. Custom GPTs are great for personal use and prototyping. Capabara goes further by offering structured workflows, governance, and multi-user support. For consultants, educators,
- [Struggling with Medical Jargon? Here’s How AI Turned My Hospital Report into Plain English](https://kerson.ai/struggling-with-medical-jargon-heres-how-ai-turned-my-hospital-report-into-plain-english/) - "Ever stared at a hospital report and felt completely lost? That was me, until I found a way to simplify it with AI." Navigating the world of medical reports can feel like trying to read a foreign language. Between the complex terminology, abbreviations, and dense explanations, it’s easy to feel overwhelmed. Recently, I found myself
- [The Three Faces of Gen-AI](https://kerson.ai/the-three-faces-of-gen-ai/) - Is Gen-AI Game-Changing, Game-Ending, or Just a Game? Although I’m fully engaged in the world of generative AI, I don’t subscribe to any single narrative. I find it fascinating precisely because it sparks such wildly different reactions. Some see it as revolutionary. Others fear it will ruin society. And many believe it’s just smoke and
- [LegoGPT When AI Meets LEGO](https://kerson.ai/legogpt-when-ai-meets-lego/) - Through my other project Musical Brick, I recreate iconic concert stages, musical instruments, and minifigure likenesses of legendary musicians. That’s why LegoGPT immediately caught my attention (thanks to James). An AI that builds LEGO models that not only match text prompts but also physically stand! It feels like a glimpse into the future of creative
- [Why the Smartest Students Are Using ChatGPT to Learn (Not Cheat)](https://kerson.ai/why-the-smartest-students-are-using-chatgpt-to-learn-not-cheat/) - “These aren’t cheat codes — they’re upgrade tools for your brain.” Scroll through the news and you’ll see a mix of concern and cynicism: students using ChatGPT to write their essays, solve their problem sets, and shortcut their assignments. Critics say it's the death of learning. But here’s what many people miss. The best way
- [Inside the Mind of Dr. Hallucino: Why Gen-AI Hallucinates](https://kerson.ai/inside-the-mind-of-dr-hallucino-why-gen-ai-hallucinates/) - It All Started with a Fox Head and a Red Dress Back in 2023, I asked ChatGPT a simple question: “Write a passage about Peter Gabriel dressing up in a red dress and fox head.” Now, I’m a big Genesis and Peter Gabriel fan. I know the lore.So I recognized immediately what came next wasn’t
- [50 Common Words AI (and People) Mishear Across the English-Speaking World](https://kerson.ai/50-common-words-ai-and-people-mishear-across-the-english-speaking-world/) - This post explores British and American pronunciation differences through the lens of AI speech recognition, offering new insight into how we speak and how machines listen. As someone who teaches English phonetics in Singapore, I’m constantly navigating the subtle differences in pronunciation across accents. But nothing has opened my eyes to those differences quite like
- [The Evolution of AI: A Personal Perspective on its Transformative Impact Across Creative and Educational Domains](https://kerson.ai/the-evolution-of-ai-a-personal-perspective-on-its-transformative-impact-across-creative-and-educational-domains/) - To me, AI still feels like magic, but it’s magic I can understand. Maybe that’s because, as a Gen-Xer, I’ve lived through every stage of the digital evolution. From cassettes to Spotify, floppy disks to the cloud, dial-up to 5G, we’ve watched the world transform, pixel by pixel. And now, with AI, it feels like
- [Control and the 5Cs of AI Adoption in the Workplace](https://kerson.ai/control-and-the-5cs-of-ai-adoption-in-the-workplace/) - A Framework for Ethical, Aligned, and Scalable AI Integration In the evolving landscape of AI, success is no longer about isolated upgrades,it's about building systems that grow, adapt, and align across every part of the organisation. The Control and 5Cs Framework offers a model for harmonising AI adoption through five interconnected capabilities: Collection, Compute, Context,
- [The Real Villain in Adolescence Isn’t a Person—It’s the Algorithm](https://kerson.ai/the-real-villain-in-adolescence-isnt-a-person-its-the-algorithm/) - I watched Adolescence with an open mind and wasn’t swayed by the polarized political commentary buzzing around it, whether from the critics of the manosphere or from critics focused on race-swapping in casting. What struck me most wasn’t ideological. It was the clarity with which the show exposed something deeper and more urgent: how social
- [Why Are You Always Using ChatGPT?](https://kerson.ai/why-are-you-always-using-chatgpt/) - When ChatGPT was released into the world, it didn’t arrive with a user manual. There were no set rules, no official guidelines, no step-by-step tutorial explaining what we were supposed to do with this strange new interface that responded to natural language with natural-sounding answers. It wasn’t a tool in the traditional sense, there were
- [AI Arms Race - Do You Want the Bad News or the Good News?](https://kerson.ai/ai-arms-race-do-you-want-the-bad-news-or-the-good-news/) - Let’s get real. AI isn't just a productivity booster or a chatbot to write your essays. It’s rewiring our world, economies, jobs, relationships, even what it means to be human. So before we put on our rose-colored glasses, let’s look at the shadows. Here’s the bad news first. Then we’ll give you the good news.
- [How Generative AI Is Transforming Social Media and the Creator Economy](https://kerson.ai/how-generative-ai-is-transforming-social-media-and-the-creator-economy/) - It’s 2025, and something about your social media feed just feels... off. Maybe the posts seem eerily perfect. Maybe the influencers you follow don’t seem quite real. The reality? A growing number of them aren’t. They’re made by AI. This blog post explores ten of the most unsettling developments happening right now as generative AI
- [GenAI Feels Like Cheating… Maybe It Is](https://kerson.ai/genai-feels-like-cheating-maybe-it-is/) - Lately, I’ve been exploring GenAI across many of my projects, from musical LEGO builds and creative videos to educational tools and business automation. It’s exciting, powerful, and honestly, fun to experiment with. But it hasn’t come without criticism. Some of my videos have sparked comments from thoughtful followers. People have asked why I use GenAI
- [How Advanced AI Agents Could Resist Shutdown and What Can Be Done](https://kerson.ai/how-advanced-ai-agents-could-resist-shutdown-and-what-can-be-done/) - I attended a talk today at the SASH (Singapore AI Safety Hub). The speaker today was Elliott Thornley who is a Research Fellow at Oxford University. Introduction As artificial intelligence advances, we’re inching closer to a future where autonomous AI agents manage complex tasks—from running factories to negotiating financial trades. But with great power comes
- [AI Is Learning from Us… And That Should Concern You](https://kerson.ai/ai-is-learning-from-us-and-that-should-concern-you/) - Growing up, my fascination with artificial intelligence started with cinema. Movies like Blade Runner, The Terminator, and 2001: A Space Odyssey painted visions of AI as both a marvel and a cautionary tale. They made me wonder: Could machines ever think, learn, and evolve like humans? Would AI be a benevolent assistant, a self-aware entity,
- [From Teaching Kids to Training AGI Minds](https://kerson.ai/from-teaching-kids-to-training-agi-minds/) - 1. The AGI Timeline Debate: Optimism vs. Reality Tech leaders like Jensen Huang (Nvidia), Ben Goertzel (SingularityNET), and Elon Musk predict AGI—machines matching or surpassing human intelligence—could arrive within 3–10 years. Their arguments hinge on AI’s rapid progress in passing exams, scaling compute power, and mastering narrow tasks. Jensen Huang’s Benchmark-Based Prediction: Huang believes AGI could
- [AI Still Can’t Draw These 6 Everyday Things Correctly!](https://kerson.ai/ai-still-cant-draw-these-6-everyday-things-correctly/) - Generative Artificial intelligence can craft jaw-dropping landscapes or surreal portraits, yet it sometimes flubs details so basic that even a kindergartener would notice. Ever asked for a left-handed chef and gotten a right-handed one flipping pancakes? Or requested a casual wristwatch only to see it stuck at 10:10 like a broken clock? These blunders aren’t
- [Why Domain Knowledge is the Key to AI Success](https://kerson.ai/why-domain-knowledge-is-the-key-to-ai-success/) - The AI Boom: Why It’s More Than Just Tech Artificial Intelligence (AI) is transforming industries, much like past industrial revolutions. With the potential to add $4.4 trillion in global economic gains (McKinsey), AI is no longer just a futuristic concept—it’s a critical business tool. Yet, many companies struggle to fully integrate AI into their operations.
- [Why AI Hates Left-Handed People—And What It Says About Who Else It’s Discarding](https://kerson.ai/why-ai-hates-left-handed-people-and-what-it-says-about-who-else-its-discarding/) - Prime Minister Narendra Modi recently made a striking remark about artificial intelligence: “If you ask AI to draw a man writing with his left hand, it will most likely generate a man drawing with the right hand.” https://www.youtube.com/watch?v=2x2ZnoJ77kY At first glance, this seems like a quirky observation. But beneath the surface lies a profound critique
- [Is AI the Future of Creativity or Its Biggest Threat?](https://kerson.ai/is-ai-the-future-of-creativity-or-its-biggest-threat/) - For the past two years, I’ve been deeply immersed in the world of artificial intelligence, exploring tools that generate text, images, videos, and more. It’s been an eye-opening journey, and honestly, I’m loving it. The possibilities feel endless, and for someone like me, who lives with aphantasia, a condition where I can’t picture images in
- [OK AI: Why AI Literacy Matters in 2025](https://kerson.ai/ok-ai-why-ai-literacy-matters-in-2025/) - AI is everywhere. It is writing emails, generating images, analyzing data, and summarizing meetings. Yet understanding of how it works remains low. This gap between usage and comprehension is causing real-world harm. In one case, a student submitted an essay with convincing citations—all fabricated by a generative AI. In another, developers copied code suggestions from
- [Talk Is Cheap: Why Language Still Rules in the Age of AI](https://kerson.ai/talk-is-cheap-why-language-still-rules-in-the-age-of-ai/) - 1. Voice Is Natural, But Language Is Learned Talking is easier than typing. That’s why many people, especially younger users, prefer voice commands, video replies, or other intuitive formats. Text interfaces can feel clunky and slow in a world used to swipes, taps, and instant feedback. As James Andrews noted in his Substack article, expecting
- [Do You Want AI to Discriminate or Generate… or Both?](https://kerson.ai/do-you-want-ai-to-discriminate-or-generate-or-both/) - Preface This article was inspired by a thought-provoking exchange on LinkedIn with David de Hilster, co-author of NLP++ and adjunct professor at Northeastern University. In response to my comment about ChatGPT’s ability to grasp nuance, syntax, and tone, David offered a sharp critique: “ChatGPT doesn’t grasp nuance or syntax. It is a statistical mapping which
- [Tracing the Roots of Human Language in the Age of AI](https://kerson.ai/tracing-the-roots-of-human-language-in-the-age-of-ai/) - Disclaimer: This article draws on current research in historical linguistics and AI modeling. While analogies like "Proto-World meets Prompt-World" are used to illustrate parallels, exact scientific certainty on language origins and AI evolution is an ongoing area of study. Language is often described as humanity’s greatest invention — yet it’s also our oldest. Before the
- [Inaugural Artificial Intelligence Festival Asia (AIFA) 2025](https://kerson.ai/inaugural-artificial-intelligence-festival-asia-aifa-2025/) - I just attended the inaugural Artificial Intelligence Festival Asia (AIFA) 2025 here in Singapore. A two-day premier event designed to empower SMEs with the transformative power of Digitalization, Artificial Intelligence (AI), and Cybersecurity. There were many insightful discussions in which I transcribed using AI 😁 Key Takeaways: 1. AI's Critical Role in SMEs: AI is

## Pages

- [Home](https://kerson.ai/) - Building Sovereign AI from organisational knowledge. Transforming organisational knowledge into trusted Sovereign AI systems that keep your information under your control while delivering grounded, source-cited answers. Knowledge Engineering Engineering the knowledge behind trustworthy AI. Transform manuals, SOPs, policies, and technical documentation into structured AI knowledge systems that power grounded, source-cited answers. AI Assistants Ground AI
- [About](https://kerson.ai/about/) - Founder of Kerson AI Solutions I studied AI in the late 1990s, long before generative models changed what the field looked like. Focusing on neural networks and rule-based systems, sponsored by GEC Plessey Telecommunications, I gained early hands-on experience in enterprise software and databases. Then I left the field, moved to Singapore, and spent two
- [The AI Adoption Field Guide](https://kerson.ai/the-ai-adoption-field-guide/) - Kerson AI Solutions · A Living Reference The AI AdoptionField Guide Why organisations adopt the right ideas in the wrong order — and the frameworks that explain what to do instead. Daniel Kerson · kerson.ai 3Adoption Layers 4Frameworks 73Source Articles 24Use Case Patterns Last updated May 2026 · Edition 1.4 · Living document How to
- [The Five Responsibilities of AI Ownership](https://kerson.ai/the-five-responsibilities-of-ai-ownership/) - The Five Responsibilities of AI Ownership Part of the Kerson AI Adoption Methodology Follows: Foundation Three → Five Cs → SCRIPT → The Five Responsibilities Most Organisations Treat Adoption as the Finish Line. It Isn't. Ownership Is. The first three frameworks in this methodology address successive stages of the same challenge. Foundation Three asks whether
- [The Five Gaps Holding Your Organisation Back From AI](https://kerson.ai/the-five-gaps-holding-your-organisation-back-from-ai/) - Everyone talks about the AI Capability Gap, the gap between what AI can do and what organisations can actually use. Most organisations struggling with AI are dealing with two or three gaps at the same time. They just haven't named them yet. I call them the Five Cs. Gap The Problem The Signal Capability People
- [The Foundation Three: Why AI Projects Fail Before They Begin](https://kerson.ai/the-foundation-three-why-ai-projects-fail-before-they-begin/) - Most discussions about artificial intelligence focus on tools: Which model should we use? Should we build an AI chatbot? Can we automate this workflow? But many organisations run into trouble long before those questions matter. The real issue is that AI projects often begin without proper foundations. The numbers are hard to ignore. MIT research
- [The AI Framework: From Tools to Workflows to Capability](https://kerson.ai/the-ai-framework-from-tools-to-workflows-to-capability/) - A practical map for understanding, adopting, and delivering real AI value. Don't confuse tools, workflows, and capability and adopt them in the wrong order. This framework helps you understand where you are and what comes next. The AI Framework: From Tools to Workflows to Capability When people talk about digital transformation or AI transformation, they
- [SCRIPT: Why Good Ideas Fail to Gain Momentum](https://kerson.ai/script-why-good-ideas-fail-to-gain-momentum/) - In organisations, many good ideas never go anywhere. The technology works. The idea makes sense. The potential value is clear. Yet the initiative quietly stalls. This pattern appears everywhere: graduates entering the workplace, startups entering the market, new technologies entering organisations, consultants trying to turn expertise into clients. The problem is rarely capability alone. The
- [HUMANS](https://kerson.ai/humans/) - Humans in the Loop You found this page because a post ended with a question. You may have arrived from music, language, teaching, or AI. It doesn't matter which. This page sits underneath all of them. That question wasn't decoration. It was the point. Why every post ends with a question I use AI every
- [Augmenting Aphantasia with GenAI to Unlock More Creativity](https://kerson.ai/projects/aphantasia/) - Introduction Challenge Personal Reflections Visual Support Mental Clarity Aphantasia is the inability to voluntarily visualize mental images—essentially a “blind mind’s eye” where a person cannot conjure pictures in their imagination. People with aphantasia cannot form visual images of familiar people, places, or objects in their mind. However, aphantasia extends beyond the visual realm—it can also
- [Delivery](https://kerson.ai/delivery/) - Your AI Process Partner for Real ROI Automation • Deployment • Monitoring • Improve • Scale • ROI Many organizations know AI could improve their operations, but struggle to move from experimentation to results. They face critical questions: Which processes should we redesign? How do we ensure governance and accountability? Who should implement the solution?
- [Library](https://kerson.ai/library/) - The AI Workflow Library March 11, 2026 March 12, 2026 KersonAI The AI Workflow Library is a practical reference for organisations exploring where AI can reduce workload, improve consistency, or surface information that is currently getting lost. It is organised around problems, not technology. Find the description that matches your situation and follow it through
- [Too much coming in](https://kerson.ai/the-ai-workflow-library/too-much-coming-in/) - volume and intake problems Worker Use Case Email Triage and Response What it does An inbound shared inbox receives messages from customers, vendors, or staff. An AI worker reads each one, classifies it by intent, retrieves relevant context from connected systems (CRM, ticketing, knowledge base), drafts a response or routes the message to the right
- [Output needs to meet standards](https://kerson.ai/the-ai-workflow-library/output-needs-to-meet-standards/) - Quality and Compliance Problems Worker Use Case Quote, Proposal, and Statement Drafting What it does A request comes in from a prospect, client, or internal team and the AI worker retrieves the relevant account history, product or service catalogue, pricing rules, and approved proposal templates. It assembles a first draft that conforms to institutional standards:
- [Knowledge exists but can't be found](https://kerson.ai/the-ai-workflow-library/knowledge-exists-but-cant-be-found/) - Memory and Retrieval Problems Worker Use Case Customer Service Case Resolution What it does A customer contacts support with a problem. The AI worker reads the case thread, searches for similar previously resolved cases, retrieves the relevant policy or product documentation, identifies the most likely resolution path, and either provides a direct answer to the
- [Things fall between the gaps](https://kerson.ai/the-ai-workflow-library/things-fall-between-the-gaps/) - Coordination and Handoff Problems Worker Use Case Calendar, Project, and Status Coordination What it does Knowledge workers lose significant time each week to coordination overhead: preparing for meetings, writing status updates, logging actions, and tracking what changed since the last check-in. An AI worker handles this by monitoring connected systems including calendar, email, CRM, project
- [Data needs to mean something](https://kerson.ai/the-ai-workflow-library/data-needs-to-mean-something/) - Interpretation and Decision Problems Worker Use Case Procurement and Supplier Comparison What it does A procurement team receives multiple supplier proposals, tender responses, or product quotations. Rather than a procurement manager reading each document separately and building a comparison manually in a spreadsheet, an AI worker reads all the documents, extracts comparable fields including pricing,
- [People need guided support](https://kerson.ai/the-ai-workflow-library/people-need-guided-support/) - Engagement and Assistance Problems Worker Use Case Benefits, HR Policy, and Employee Q&A What it does Employees ask questions about leave entitlements, benefits, reimbursement policies, payroll queries, or HR processes. Instead of HR staff answering the same questions repeatedly, an AI worker handles the conversational layer, identifying the employee's question, retrieving the relevant policy content,
- [The AI Workflow Library](https://kerson.ai/the-ai-workflow-library/) - The AI Workflow Library is a practical reference for organisations exploring where AI can reduce workload, improve consistency, or surface information that is currently getting lost. It is organised around problems, not technology. Find the description that matches your situation and follow it through to the relevant use cases. If you recognise your organisation's problem
- [Responsibility](https://kerson.ai/responsibility/) - Keeping AI Safe, Accountable, and Aligned with Human Values Governance • Accountability • Risk • Trust • Oversight • Standards AI systems now generate signals that people and organisations act on. Summaries inform decisions, recommendations trigger actions, and automated workflows move money, resources, and risk. Responsibility is about what happens next. As signal production becomes
- [Literacy](https://kerson.ai/literacy/) - A human-first guide to understanding and using artificial intelligence Staff • Awareness • AI Literacy • Training • Mindset AI is everywhere, but most people don’t really know how it works, what it’s doing behind the scenes, or how to use it safely and creatively. This page is your starting point for learning about generative
- [Capability](https://kerson.ai/capability/) - Understanding What Gen-AI Is Actually Capable Of Skill-building • Governance • Systems Data • Workflows • Principles AI capability is about what the systems can actually do. It becomes clear when you look across domains such as law, marketing, sales, HR, learning, and customer service, where AI is already powering a wide range of use
- [AI Framework](https://kerson.ai/ai-framework/) - A practical map for understanding, adopting, and delivering real AI value. Don't confuse tools, workflows, and capability and adopt them in the wrong order. This framework helps you understand where you are and what comes next. The AI Framework: From Tools to Workflows to Capability When people talk about digital transformation or AI transformation, they
- [Projects](https://kerson.ai/projects/) - Email Screening and Communication Automation August 7, 2025 August 7, 2025 KersonAI Screening Podcast Guest Emails with AI-Powered Automation Overview We built an intelligent automation system that reads incoming emails, analyzes guest...Continue reading→ Capabara Trusted Advisor May 7, 2025 August 7, 2025 KersonAI Real-World Experience in Responsible AI Deployment and Governance OverviewAs a Trusted Advisor
- [Email Screening and Communication Automation](https://kerson.ai/projects/email-screening-and-communication-automation/) - Screening Podcast Guest Emails with AI-Powered Automation Overview We built an intelligent automation system that reads incoming emails, analyzes guest suitability, and drafts polished responses—all without manual effort. With this solution, podcast teams can:Automatically screen and score incoming guest proposalsGenerate personalized, on-brand replies and follow-upsFlag high-potential guests for priority outreachMaintain a consistent and professional tone
- [Automated Customer Enquiry Handling System](https://kerson.ai/projects/automated-customer-enquiry-handling-system/) - Automating Customer Support with an AI-Powered Chatbot for Musical Brick OverviewWe implemented an AI-powered customer service chatbot on the Musical Brick website to handle frequently asked questions, guide customers to products, and reduce response time. Built using Flowise and powered by a large language model, the chatbot offers 24/7 assistance for a niche e-commerce store
- [AI-Powered Singing Techniques Knowledge Assistant](https://kerson.ai/projects/ai-powered-singing-techniques-knowledge-assistant/) - 📖 Enhancing Learning with Interactive AI Knowledge Overview An AI-powered chatbot that acts as an interactive learning companion for the Singing Techniques book. This chatbot is designed to supplement Bevlyn's online singing course, offering instant, AI-driven guidance to students. The physical book remains essential, while the chatbot enhances the learning experience by making knowledge easily
- [Capabara Trusted Advisor](https://kerson.ai/projects/capabara-trusted-advisor/) - Real-World Experience in Responsible AI Deployment and Governance OverviewAs a Trusted Advisor with Straits Interactive, I contribute to the ongoing development and application of the Capabara platform, an advanced “Capability-as-a-Service” solution that helps businesses adopt generative AI in a safe, scalable, and compliant way. This hands-on role bridges my interest in responsible AI with practical
- [Automated E-commerce Order & Supply Tracking](https://kerson.ai/projects/automated-e-commerce-order-supply-tracking/) - Seamlessly Connecting WooCommerce, Etsy, and Suppliers with Google Sheets Overview We built a fully automated system that streamlines e-commerce order tracking and supply management. This integration connects WooCommerce, Etsy, and an online supplier to a Google Sheet, ensuring real-time updates for orders and inventory. With this solution, e-commerce businesses can:Automatically track sales across multiple platformsMonitor
- [Aphantasia and Generative AI: Neuroscience, Visualization, and Applications](https://kerson.ai/research/aphantasia-and-generative-ai-neuroscience-visualization-and-applications/) - Neuroscience Foundations (2022–2025) Aphantasia – the inability to visualize mental imagery – has garnered growing scientific interest, especially as a window into how the brain generates conscious visual experiences. Recent neuroscience studies (2022–2025) have begun to map the neural basis of mental imagery in aphantasic individuals. Notably, cutting-edge functional MRI (fMRI) research reveals that even
- [phonics](https://kerson.ai/phonics/)
- [Accent Bias in Speech Recognition: Challenges, Impacts, and Solutions](https://kerson.ai/research/accent-bias-in-speech-recognition-challenges-impacts-and-solutions/) - Bias and Error Rates Across Accents Voice recognition systems often struggle with accented speech, leading to higher word error rates (WER) for certain speaker groups. Multiple studies have documented accent bias in AI speech recognition: A Stanford-led test of five top ASR services (by Amazon, Google, IBM, Microsoft, Apple) found nearly double the error rate
- [Stacking “Lah”: How Singlish Particles Are Changing AI Speech Models](https://kerson.ai/research/stacking-lah-how-singlish-particles-are-changing-ai-speech-models/) - Introduction If you’ve ever heard Singaporeans speak casually, you might notice something unique at the ends of their sentences – little words like “lah,” “meh,” or “hor.” These are not random filler sounds, but important Singlish particles that convey tone and nuance in Singapore Colloquial English (often called Singlish). For humans, understanding what “OK lah,
- [AI and Reconstructing Ancient Protolanguages](https://kerson.ai/research/ai-and-reconstructing-ancient-protolanguages/) - Researchers have begun using AI and machine learning to reconstruct ancient proto-languages that have no written records. A notable example is a 2013 system from UC Berkeley that reconstructed Proto-Austronesian (ancestor of languages across the Pacific and SE Asia) with about 85% accuracy, closely matching what linguists achieved manually. This system used probabilistic models (Markov
- [Generative AI in Art, Video, and Music: Key Concerns and Debates](https://kerson.ai/research/generative-ai-in-art-video-and-music-key-concerns-and-debates/) - An AI-generated image ("Astronaut Riding a Horse") created with Stable Diffusion XL. Such imaginative outputs highlight both the creative potential and contentious issues of generative AI.en.wikipedia.org Generative AI has rapidly entered the creative fields of visual art, video, and music – allowing anyone to produce images, animations, or songs with a simple prompt. This wave
- [Research](https://kerson.ai/research/)
- [Contact](https://kerson.ai/contact/)

## Categories

- [Uncategorized](https://kerson.ai/category/uncategorized/)
- [AI](https://kerson.ai/category/ai/)
- [Movie](https://kerson.ai/category/movie/)
- [Social](https://kerson.ai/category/social/)
- [Language](https://kerson.ai/category/language/)
- [Music](https://kerson.ai/category/music/)
- [Lego](https://kerson.ai/category/lego/)
- [career](https://kerson.ai/category/career/)
- [responsibility](https://kerson.ai/category/responsibility/)
- [aphantasia](https://kerson.ai/category/aphantasia/)
- [Knowledge](https://kerson.ai/category/knowledge/)