For example, here's a game where you are a mouse hunting for cheese in higher dimensional mazes: https://manifold-six-axis-escape.nathan338932.chatgpt.site/
Idea came to me while at a concert, was ready to play that same night.
The fact is, most people aren't builders and never will be. Building software is about formalizing and automating processes, and 95% of folks aren't interested in putting even the most basic effort into improving their business by approching it at a strategic level. Too focused on keeping the lights on and/or more interested in field operations.
For another example look at the many businesses using @gmail addresses to run their business while Google Workplace has streamlined custom domains for a while.
So in practice, ChatGPT Sites will mainly enable software agencies to build websites and offload maintenance to the customer : just manage it from your ChatGPT account. The equivalent of Bring your own cloud for Mom and Pop businesses, and other small companies. Not even sure ChatGPT Sites will create meaningful downward pressure on agency rates.
Lesson learned the hard way.
The issue with the Wordpress and Wix is that the site stay polished for approximately 1 second after it has been initially published. In 6mo~1yr it's unmaintainable pile of dogshit that is easier to redo from scratch.
Lots.
I’m a pretty sophisticated user (both a designer and software engineer) and I’ve ragequit several of these tools before.
I’m convinced that’s the only reason Wordpress is still popular. The administrative experience was atrocious. Actually, that is an understatement.
Otherwise I'd have to introduce some kind of dimension picker. Maybe a fun hardmode.
Did the LLM explain its reasoning for how it is showing the higher dimensions? Or perhaps this is a standard way of attempting to display higher dimensional space?
Is it possible to export site to own domain?
https://learn.chatgpt.com/docs/sites?surface=web#connect-a-c...
https://help.openai.com/en/articles/20001339-creating-and-us...
Maybe I'll do that and post to HN later, didn't expect this much response!
Soon it will connect to Ads and it will runs for it as well.
Honestly since Opus 5.5, Opus is my interface for 95% off my work. I don’t open emails anymore i let it summarize draft and handle most of the work and I only talk to Claude and not read/write the emails myself.
I also barely go in analytics dashboards anymore, Most I do is creating artifacts to explain if text is not enough for me to understand.
I’m going to bed. I have analytics running for every cancellation on my software to see what goes on. I have a/b tests running that are getting interpreted automatically. My bugs are getting fixed automatically.
I can monitor my competitors and copy every feature a/b test resolution they’ve done instantly for (3$ of my budget)
I’m an early adaptor of the latest models. The labs will have better tools already, but it really feels like a breaking point. What’s normal for me today is normal for more tomorrow and the friction has never been lower...
Interesting..
AI is this strange double-threat for folks in software development: attacking both the demand and supply at the same time.
Me, I don't think they are super eager to be a hosting platform even though this is a very logical extension for them. I think they're hoping this is a catalyst to make login with OpenAI as ubiquitous as login with Google.
Unless you use a zero data retention inferencer?
Current AI is NOT going to replace web devs or coders because it cannot tabula rasa make human sense. I suspect the reverse with a Jevons thingy happening
I'm increasingly finding my job is just making sure they don't go off the rails, and if they do it's a small effort of getting them back on track
But currently they can't manage a vending machine as good as human, so I doubt they have our centuries long planning ability
Also, planning over long scales is not something you should do if you do lean/agile. Premature optimization is a root of all evil ;)
Software is mostly in the last 5% of work
On the other hand, death of a livelihood in a social structure that doesn’t care about you.
We’ve always had pump-and-dump trash. The terrible stuff loses and the good stuff wins. I don’t see why that would change.
The companies that ditch the management structures of yore and successfully build better software faster with the new tools will come out on top. I don’t think these companies will replace ALL saas subscriptions with in-house solutions, because one huge benefit of paying someone else to hold that bag is liability and regulatory overhead.
Domains, auth, and databases are probably the stickiest software products of all time. I suspect it’s a combo of security concerns and the risk of eroding goodwill among developers (their most important customer base rn) if they move up the stack too quickly. Once you know that the goal is to become cloud vendors, train on/compete with their own customers, and own the entire software stack e2e it’s hard to really feel grateful that they’re dragging it out but planning on doing it anyway.
For those of us working in infra/SaaS outside these companies it’s pretty clear that the only viable path that doesn’t involve getting cannibalized is training your own agents/models. The new coding agent-infra-data business model is a path towards full commoditization and undifferentiated prompting in 3-4 vertically integrated walled gardens. If you ever start making real money on pure software infra they’ll just be able to eat you alive by implementing something similar, training on their own tools rather than yours, and integrating it into their stack (which all of your customers are on already).
Also, you should only ever use $20-200/mo subscriptions on work you want them to train against or you don’t mind automate yourself out of. Think a little bit about what you’re teaching them to do when you use their products, especially if they’re the primary interface you’re working in. People are going to start caring about this a lot when the AI companies feel safe enough to begin the “extinguish” phase of AI coding. Train your own models!
I do not see enough people discussing this and trying to position their businesses in a way to avoid destruction at the hands of the labs.
There’s a good chance that the next step after open weight models is something that makes it easier to post-train existing models on new workloads without running an entire pipeline just for yourself. Somebody has to actually build it though.
Vibe coding full circle
And it will be good enough for 90% of use cases.
I think it’ll just raise the automation bar that much higher. In other words, it will be good enough for 90% of yesterday’s use-cases. But tomorrow’s? I’m bearish.
I imagine the amount of onerous bureaucracy when interacting with any entity is going to explode if they expect you to do it in an automated fashion, for both private companies and the government. Especially as roles are cut because they can be “automated”. Except only 80% of the workload can be reliably automated, the other 20% requires a long tail of effort.
It is likely better in some ways and worse in others...and few of hte people involved will have the understanding to tell the difference.
Software engineering on one end is going to be more like finance or medicine where the cost of poor performance is actually higher than the risk that they wont be worth what you pay them (ie there isn’t any amount of pay where it’s worth it to hire them). Then on the other it’ll be like knowing how to use PowerPoint. All the new tech categories have too many bottlenecks and challenges beyond just producing code to consolidate like that.
Are you going to trust a vendor who has been running for years with your business critical operations or brad_69's awesome saas skills and agents? Do you think these businesses are going to shift their whole product to be in Altman's walled garden when they don't need to?
When they have full DevOps, with multiple environments for testing, compliance with security best practices, can do database updates and data migrations, move the app smoothly between different platforms, streamline costs, and scale to at least hundreds of thousands (if not millions) of users without crashing and burning... then go ahead and worry. We aren't anywhere near that.
On the other hand, if you are purely a coder, and cannot run a project that does all of the above... maybe start your worrying earlier.
We aren't, but the AI Labs no doubt are. They just can't release it right now because their bread and butter is still developers burning tokens, so there is still a business problem to solve.
A team I was managing spent a whole year converting government forms into a web app. It took a while and there was a lot of discussion with the end users and a bunch of back and forth (keep in mind this is government software with a lot of onerous legal requirements). Then about 4 months ago, we just fed Codex the forms, along with the UI design and the legal requirements and it spat it out in 1 hour. Was it perfect? No. But our iterative loop became make the web app, show it to end users and then incorporate feedback and completely cut out the UX team, product etc. We were able to complete the conversion in 2 weeks with one guy (something like 150+ government forms/applications). For most simple to medium corporate development work it’s basically over.
I just don't see how we keep going like this without layoffs. The company cannot responsibly continue paying for this many engineers, when half, or less, could do the same job.
Like, why is it all still so buggy? Why does no website seem to consider 96 PPI displays in its design? Why don't we have ostensibly useful features like undo trees everywhere? Why is everything still a RAM hog? Why does the proportion of websites that pay no heed to accessibility seem to be going up rather than down?
I'm told we're living in the future, but it sure doesn't feel like it.
Flawless software isn't the goal, ever. Feature development is almost always the primary goal, and fixing bugs and performance issues is only done if the bug is bad enough.
Lack of information. When you are on the building side you become blind to its faults. Consumers almost never tell you what isn't good about it.
> why is it all still so buggy?
Also lack of information. I haven't seen any bugs in years in the things I've worked on. LLMs have closed every last obvious testing gap, squashing any outstanding bugs there. That's not to say it is all bug-free now, but what bugs users may be experiencing aren't being reported.
AI is good at building software, but it is still not good at consuming software like actual consumers do.
I have been the lone developer on a project for quite some time and was already feeling that way. Yet, recently found out that a second is being added to the team and a third is to come. I guess I'll enjoy what is effectively a paid vacation before it all comes crumbling down.
Yesterday my dot made a web app to view 3D microscopy files
https://mucus-atlas-viewer.pazimzadeh.chatgpt.site/?sample=k...
I didn't even know about the sites feature
Once the app gets a bit more complex, it won't be that much different to any more traditionally vibe coded application (code, git/pr, test, deploy, ops). It only removes the barrier to get started, but doesn't solve any of the real problems. Problems like AI slop, code rot, bad architecture, security issues, data loss/breach because of bad code, and so on.
https://www.stripeeconomics.com/p/the-saaspocalypse-was-more...
* Some people do think this (e.g., https://sockpuppet.org/blog/2026/09/25/what-even-is-an-os-no...), but I remain somewhat skeptical that this'll be true for the most economically significant applications. This is not because I'm an AI capabilities skeptic (I'm not, I'm more of a doomer), but because even in a world where AI is designing and implementing all the software, there are probably still significant benefits to standardization. I see it as sort of analogous to compilers; we might get a world where compilers are both used and maintained almost exclusively by LLMs, but we probably won't get one where compilers stop being used or maintained at all because LLMs write everything in assembly.
Also I dont get the inhouse argument, you dont really save anything. So instead of paying X to SaaS, you now propose to pay X to anthropic instead AND maintain said SaaS... what? how is that better, that just shifted the cost to another company and you got the burden of maintenance and responsibility.
While there are many enthusiasts out there, lots and lots of people couldn't care less about ChatGPT allows them to "buuld their own website". It's simply irrelevant to their life.
People curate their brands on socials. Having a website is not really the badge it once was, and the ability to generate them like this further reduces the social proof they used to provide.
This is the top of the funnel for most people building a tech product or marketing their business, so it’s very helpful if you intend to sell other services they might want to use down the line. (Cf Cloudflare except imagine if they also integrated ads into one of the most popular websites in the world)
I then asked the next question. How can I automatically update the embedded JSON data. It gave two answers which I thought was weird. First, it said I could using a plugin to an MCP server. Second, it said I could use an API and when I asked for which API... it said there was an API available in ChatGPT Sites but no details. So I assume it can be done.
What I am thinking of is to use ChatGPT sites as a replacement for SharePoint. I can create self contained HTML charts and let employees view it within our enterprise instance of ChatGPT. The piece I am working on is how to automatically update the embedded data from our database.
If you ask something like "please make a little website for me and my friends to plan our shopping lists on", I would expect the result to be:
"Here you go: https://shopping-lister.chatgpt.com/"
Unfortunately right now most AI models get into the weeds of asking the user to sign up to netlify or firebase or buying a domain etc - none of which most users are interested in doing.
I’ve been using exe.dev to throw up micro sites. It has a built in web agent and first party mobile app agent. And any coding agent that can use “ssh” (all of them) can easily figure out how to drive it.
It also has a lot more developer and PaaS tools like GitHub integration.
RIP Heroku for imploding before the wave of vibe coding. We had the ability to “spin up a free app on the internet” before it was cool.
Sites has been one of the most valuable ships for us internally outside of general model releases imo. A few things that I think are incredibly underrated:
1. Plugin usage. I can build a site with some data vis and when someone else in the company logs in, it uses their access to evaluate those queries. The access model/BYO connection is really powerful.
2. Ephemeral sites. Setting up a site is so easy they can be ephemeral. I can set up a whole site for a presentation, or a complex form, or just a meme, and then never touch it again because it cost me basically none of my time.
3. Sites as plugins. Sites directly integrate with the plugin ecosystem in that a site itself can provide/be a plugin. Combine that with Sign in with Chat (byo subscription) and you can build some really cool experiences really easily. I've been working on a deck grader for Magic the Gathering the last few months for my own uses and now I could pretty trivially publish it as a site for others to use.
I don't see sites being abandoned any time soon :)