
Creative Tech, Design, business. @csm_news alumni. Nomading around since 2019.
Bangkok, Thailand
Joined October 2015
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Using video gen and webgl/_3D.
Loved the idea! I tried the same workflow for my own website. With webgl/3D & H3
I had to do many iterations with H3 to find a good video to work with though.
But I can see this being integrated easily anywhere. Such a cool idea
Today I worked on chapter two, i tried to make the machine being controlled by sound.
✅ 4 mechanisms bridge rises, a crossing turns, a carriage lifts, two rails close
✅ they answer your signal, delayed by how far away they are
✅ nothing has a button. you send a wave and read the room
✅ one wave that reaches two of them resolves into a chord the camera briefly stops shaking
the whole level is suspended over nothing. you never touch the machine, you only communicate with it.
They will when agents will be so deeply integrated in the workflow that nobody realise it’s AI agents in the background. Mass user are all about the sweet combo of interface + specific use case.
My friend keep browsing fb groups everyday to find gigs. You could solve this with any AI agent easily. But that’s not her interface + use case match yet. Unless you give her a simple mobile app to just download, then she’d benefit from the power of agent. But in the end agent are just infrastructure, like APi’s.
For the mass market to use it daily they should be layered under a simple tool.
Hot take… isn’t it kinda crazy that nobody is really using AI Agents? I don’t mean software engineers or AI early adopters. I mean “college friends talking about it in group chat,” the feeling you got when everyone started using Instagram or TikTok.
These frontier AI models are *insane* (as are the harnesses & tool calls & the like). And every large tech co has an AI agents platform, not to mention all the YC startups doing vertical agents. Yet all of your friends and family outside of tech — who spend all day staring at their iPhones and get paid to work in browser tabs — don’t really care or find themselves using any AI agents yet.
Yes ChatGPT, Claude, etc. are extremely popular… but if you look at the engagement data the vast majority of people are still using these aI chat tools like a glorified Google + Grammarly. That’s why the AGI labs are all pushing desktop apps for Codex, Cowork, etc. so hard to non-technical ppl. And yes exceptions for lawyers and customer service but even those have some asterisks and exceptions to rule.
Look I’m not saying the ChatGPT moment for AI Agents is not coming… it most definitely is! Remember we pivoted from Arc to Dia precisely because we believe computing is going to be radically reimagined around these AI primitives. No doubt. But that’s my point: it’s just so surprising it hasn’t happened yet because all of the tech you’d need is there.
Again if you stop for a second and think about it… for all the press and money and hype and models and crazy ARR numbers… this “AI Agent” moment does not *feel* like the other breakthrough tech moments we’ve lived through (e.g. think the shift to Stories via Snapchat & Instagram, or shift to on-demand via Uber/Airbnb/Doordash).
Which is a long way of saying: if you can figure out the answer to “why” most people don’t care about AI agents yet (and have no enduring interest in using them) — especially since the models and harnesses are here and ready — the answer to that question will allow you to capture a lot of marketshare and make a lot of money in 2027.
Theoretically, the tech is ready for AI Agents to totally transform how we work and live our lives… but alas the general public dgaf… that’s the generational puzzle to solve for the next 12 months for anyone not working on the models themselves.
I remember at uni when I said I didn’t want to be an artist anymore but wanted to be a designer. They told me the best designers are artists first. A creative process, taste, a solid practice is definitely what’s make the difference especially nowadays in AI era where technical skills become a commodity
had to face a hard truth - i’ve fallen off.
when i first started out as a designer i was soo eager and so hyped to just try things. i was checking awwwards daily and used elements i liked in designs we made at the first agency i worked at
that was 7 years ago. award-winning designs were much simpler back then. it didn’t require to be a design engineer creating complex webgl animations and shaders and so on
nowadays i don’t really check awwwards much. i feel beaten. i see designs and realise damn i will prob not get something like this going in figma.
trying to use ai (almost having to rely on it) and different tools just made designing feel more dreadful. i just couldn’t get any good results and i hated the process (like waiting 20min for a shitty shader that isn’t what i want)
but it’s not just that. in general i felt for the last 2 years being a freelancer the freedom i’ve enjoyed so much also had a hefty price. i didn’t go to work and check awwwards the first hour after i clocked in. i wasn’t being pressured to deliver top notch quality. wasn’t around incredibly talented people to discuss the newest sotd or cool ideas and get myself hyped.
i was living my free life but forgot why i wanted freedom in the first place…to tap into creativity more.
i have to be honest. i’m scared looking at awwwards right now. there are such incredible creative websites recently and most of them feel they’re done by amazing design engineers or creative devs.
and i suck at design engineering - i could prob learn it but there’s a reason i hate webflow etc - i’m not a coder or prompter. i love to get messy w visuals and frames in figma and jitter and paper. code - be it traditional or vibe based - is just not my calling.
but there’s hope for i have also made another realisation:
there’s also websites that are more traditionally designed who won sotd’s.
they’re result of mastery of the design fundamentals like layout design, typography, colors, etc. they use the core principles as the primary aspect of their ingeniousness.
i know i have start over. get myself back into this sea of passionate flames. i had to fail to start believing in me again
i want to go and really dive into the basics of design and then master these. i will not join the design engineering movement - i know that. but what i can do is become a master of the fundamentals.
and if that doesn’t work out - so be it. i will accept my skill level wherever it may lay but i want to try and also find joy in it again.
I was bored:
- Opened my insta
- Took a screenshot of my fav work
- Dropped it into Claude
- Prompted the mood and vision I wanted
It built it in one shot.
Artists who think AI is going to replace them are really missing the point. They can become the whole orchestra instead of being a solist.
Damn, Claude one shotted this game environment from one photography of mine from the Louvre in Paris at Golden hour.
Arnaud Paul retweeted
I'm leaving X for some time to focus on building.
But before I leave, I want to share some thoughts on where we are with AI right now.
If you are building with AI, then this is for you.
I wish I had at least 1% of @levelsio's reach already because I feel more builders need to hear this.
TLDR: Your skills and good taste matter a lot. Be the most ambitious you've ever been and use AI wisely.
Superintelligence is defined as systems exceeding all human capability across pretty much all domains imaginable, and especially strategic agency. Models like Fable 5 and K3 are superhuman in some domains like code generation and breadth of recall, but they are also subhuman in domains like long-horizon autonomy, physical-world interaction, sustained original research, good taste, etc.
We are directing them, and they remain constrained by us humans and institutions. They're not behind the steering wheel yet. The tool hasn't become our master yet. We're still the master over the tool.
The reality is, human actors of all kind, not just deeply technical ones, are wielding AI like a magic wand now, shaping the software economy at the speed of compute, throttled by their limited attention, human speed of expression and prompting.
You reading this, you are special. Special in your own unique and wonderful way. And what AI gives you is an amplifier to express yourself, your ideas, your dreams, your imagination, and your ambition more than you ever could before.
It seems unfair to us old-school coders who had to grind our ways through the dark coal mines, hiking through manual coding and debugging hell in order to create amazing software systems and apps. It's frustrating as to the moon and back to see your skills become irrelevant so fast, at least if you believe the narrative that you've wasted the better part of your life acquiring them.
It is true that there is a certain, quite strong homogenization effect. Millions of people prompting to replicate or iterate on what's known must inevitably lead to a lot of overlap with structurally low diversity. AI produces convergent styles. It's in its nature, like that one designer doing all the designs for everything. In the same way we are also all starting to sound the same, being influenced by AIs way of expressing thought.
X, and everyone's own social circle or audience, produces selection bias. It's skewing the reality we perceive based on what the people in our feed and around us talk about or show us. So we tend to oversample trend-chasing indie apps and undersample deep tech systems, enterprise systems, research tooling or domain-specific work that flies under the radar, below the clouds of hype or algorithmic push.
Apps that took a year to make now take mere hours, it seems. It is both true and false at the same time. Superficially it is true because you get something that appears to behave like an app that was meticulously crafted over the course of an entire year by a talented engineer or even a whole team. What took so long can now be scaffolded with ease, by anyone. Engineers, chefs, strippers. Even our non-technical partners, friends and parents. Great.
But when we dig deeper, the truth is that complex products require reliability engineering, security, compliance, integrations, support and so much more that in the end, even with this powerful AI we have now to help us go from A to B through something like an Einstein-Rosen-Bridge warping space and time, things take their good amount of time to get right. Less than they did before, all things equal, but not mere hours.
Your skill is still highly relevant because AI amplifies you. It gives you leverage. The widespread idea that AI renders skill irrelevant doesn't compute, because either we have output quality that varies, in which case skill still differentiates, or it doesn't vary at all. And if it doesn't vary at all, the concept of "better" is meaningless. In other terms: A quality gradient can't exist in a flattened distribution. This is essentially your mathematical proof right there that your skill is in fact highly relevant.
What AI did is, it raised the floor dramatically. It also raised the ceiling, but not as much as the floor. This somewhat compresses the skill relevance gradient, but it doesn't eliminate it in any meaningful way.
When was the last time that access to powerful tools has resulted in broadly equal results? Never.
There was a time you needed to have a degree in chemistry or something in order to be able to take and develop photos. My grandfather, a scientist, used to have a laboratory for that. Taking and then developing pictures required immense skill.
Then one day digital cameras came along. Now any fool could take pictures, faster and easier than ever, thousands a day in full color or 3D even, instead of just 10 in monochrome. And yet, we all know that some people routinely take amazingly awe-inspiring photos, National Geographic front cover style that make us pause and look, while most others take tens to hundreds of photos a day that just end up clogging up our cloud drives.
We all have access to the same English language, but not everyone writes equally well. The equalization applies to the generation layer that is commoditized, but not to our taste, judgement, distribution, trust, or timing.
AI smashed through barriers to entry and brought them down like the Berlin wall. Now competition floods the market and drives economic profit toward zero in the layer that got commoditized, that is, the generation layer. Margins gravitate to zero, but not equally everywhere.
So what is it that survives this kind of "commoditization of everything"? What do we do, if we drink this snake oil? The classic sets of moats persist. Distribution, brand, trust, network effects, proprietary data, switching costs, regulatory position, capital intensity, and any kinds of significant embeddedness.
Yes, anyone can start using Claude Code & co and copy some app's code in an hour just based on screenshots. But it doesn't copy its user base, proprietary data in the cloud, its trust, its integrations or anything like that.
There is a sense that AI forces us to rush, because everyone is working so fast now. Well, the race was always on. So how about speed-to-trend? It's a temporary edge at best, but not a long-term differentiator. The fruits that hang low are just being picked faster overall, by more hunters and gatherers searching for them.
There is a widespread belief that all the value is going to accrue to the frontier AI companies in the end, who are the ones selling this immense power to everyone else.
In fact it's a bit sad to see all these non-influencer vibe coders raising their hopes for nothing, buying the picks and shovels from the AI frontier labs to go dig for gold. It's like watching 100 ducks fight for a small handful of breadcrumbs, and it's funny until you realize they are essentially fighting for their survival. That's not how the world should be, right?
Well, in reality the frontier AI companies spend astronomical amounts of money on research and development, including things like AI infrastructure and energy, training and inference, etc.
They themselves are essentially ducks in the lake, fighting for their survival for breadcrumbs. They suffer competitive commoditization pressure as much as we do, just at a different level. At the model layer, rather than the generation layer.
Structurally the winners are consumers and users who capture the surplus when production costs fall to the ground, but that of course doesn't really help us builders much, at least not those who have to make a living off of it.
And, let's be real. It may seem funny to have AI spit out an app that someone else previously spent an entire year on creating meticulously by hand, and then upload that to compete. The opportunity is short-lived, and the cost of opportunity a lot are missing is this:
The real gold rush is not that now you can make an app in a few hours instead of a year. The non-obvious that will become common sense soon is that an app that takes 2 hours to make is worth -5$ minus the value of your time + the value of demand which is likely $0 unless you have distribution, which you then burn with slop.
The real opportunity that AI has opened up is WIELDING ENORMOUS COMPLEXITY x EXCELLENCE.
Just imagine for a moment what you could accomplish, if only you would take this new superpower, your amazingly valuable skills, your great taste, your power of imagination, and do something that is outrageously AMBITIOUS! Something that makes others think you must be absolutely mental to even think for a second that it could be accomplished. And then go and work for a full year on just that, utilizing AI to the fullest extent possible. Milking the beast until its dry.
What will that be? No, not another Bumble clone. Not another weather app. For AI's sake, please, not an "app" at all. But something that the world actually needs. Think about it! Think bigger! And when you thought you've thought bigger, think even bigger. You're still aiming too low. THINK BIGGER!
Here is my bucket list of things I want to accomplish before I die.
- A platform that solves the number one root cause of poverty for good, giving everyone a fair chance at living a good life free of financial worries (it's far more than a "platform").
- A floating city in international waters, driven and governed by AI under a human charter (capital intensive, long story, and yes it will be fundable and doable)
- A digital twin of Earth for climate analytics, climate communications and Earth sciences education (the world's most advanced nature simulation by far, unlike anything you've ever seen or heard of)
- Truly reliable, explainable AI that can reason through complex systems and across extremely vast design spaces without stalling under the pressure of combinatorial explosion, laying the foundation for generative engineering so we can work on great and complex things like the USS Voyager and other incredible things far beyond today's vibe coding
- Something so insane, they would lock me up just for saying it out loud
A good heuristic: If talking about it doesn't make you sound like a complete lunatic, and building it doesn't scare you, you're probably aiming too low and the thing you're about to do will be commoditized rapidly (or is already).
Gone building. Back when there's something to show.
Like good odds I'm wrong but I wanted to write this down:
It's pretty clear to me that superintelligence is here and it's more powerful than us and it's moving where things are going now, not humans anymore
I don't see many people realize this yet, it feels like that pic I posted the other day, everyone is running after the same carrot which is the AI, thinking they're special, and their work is special and their use of AI is special, but it's really not, we're all mostly making the same slop, I mean it's nice slop, useful slop but everyone is making the same slop
And because it's so fast to make things, like people used to spend a year on just building an app, now it's done in hours, it's such an immense change, people send me their projects and it all looks the same, it's useful but it's slop
Non-technical people (e.g. the gfs) are now building the same or better things than technical people like us
So AI has made everybody is just as capable as everyone else, it equalized everyone in the world, as in everyone can make everything (software, music, images, art etc) now and everyone is equal, at least in the digital realm now
And maybe now we're in some odd transitionary time where we have to find out waht the next differentiator is as coding/building/execution isn't one anymore for sure
I thought it'd be distribution but who knows, obviously creativity and ideas, but if you can copy a successful apps in an hour, then how does that differentiating work?
A guy on here @aporia9n wrote how he increasingly meets founders who blast through apps/products/startups, kind of money grabs, very quickly jumping on a trend, building super quickly with AI, make lots of money quick, everyone copies them, then their margins go to 0%, and they shut it down and go to the next thing, in a way they found one differentiator which is speed
That's one way to do it, but it shows how radically things are changing I think
For now I think the only ones winning is the AI superintelligence itself and the companies providing the AI
Claude Fable 5でどこまで表現できるのか、あえて難しいお題を投げてみた。
インクが流体みたいに溶け合う演出。
これは厳しいかなと思って限界を見にいったんだけど、普通に形になってしまった。
デザイン表現力もかなりすごい。
実際にこちらで遊べます👇
suminagashi-fjdbyyqi.manus.s…
There is a serious gap in business knowledge for creative people.
Most of creatives don’t know how to operate or who to sell their services to.
It should be taught in art school.
It took me 10 years, chasing muses. Felt more like mermaids to be honest.
But it’s because I did not understand business.






















