Look at the "beneath the surface" example. Click on a creature close-up. Click the "rotate creature" button. The creature's rectangular jpeg, complete with black background, rotates on screen. No 3d or anything. This is their demo! It has that Potemkin village quality, much like AI apps, code, and answers.
I have been using Sites a few months now, really underrated feature IMO. Any time I get a quick app idea I just hand it off to Sites and usually get a working prototype within the hour.
Polished and easy to use website builders have been around for a long time, from Wordpress all the way to Wix.
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.
Oh come on. Sure, it might not be a production-capable system. But comparing an Astra 6/Sol 6.1 powered sites to wordpress and wix is apples and oranges.
An Astra powered site is your representation of a polished and capable business website. For the average joe, a Wix website fits the bill, their representation is not the same as yours. They focus on items such as whether or not the theme is beautiful.
I would bet there’s a (very) nontrivial number of people who have attempted to build something in Wix etc and got bogged down and frustrated enough to quit.
Lots.
I’m a pretty sophisticated user (both a designer and software engineer) and I’ve ragequit several of these tools before.
Really cool idea! Beat level 6! I'm still not sure how to explain how it is showing more than 3 dimensions on a 2D screen though! Would be nice to be able to choose which dimensions are represented at the various N-dimensions, but the UI might be tricky to get nice.
Yeah you have actually picked up on something that the game intentionally does to help the user: If the cheese can be reached by any of the dimensions you are currently on, then it will ensure that dimension is in the subset of dimensions you receive when you go down a dimension.
Otherwise I'd have to introduce some kind of dimension picker. Maybe a fun hardmode.
Oh I see! Thanks for explaining that - I did notice that sometimes a subset that I didn't expect was chosen.
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?
Yeah if I were to make it harder I would introduce more sparse connections requiring the user to actually understand the layout, right now you can kind of "feel" your way towards the cheese. Most brutal maze would be one with only one possible path and lots of backtracking required.
Maybe I'll do that and post to HN later, didn't expect this much response!
I wonder if they'll combine this with the currently-in-closed-beta Sign In with ChatGPT to let people make sites that can make inference calls that get charged to the user's ChatGPT subscription rather than the site owner's API billing account, like Claude Artifacts already lets you do. That would synergize well with ChatGPT Sites being generally more robust and feature-complete than Claude Artifacts.
I think this is the next step in the evolution of AI based tools. We can develop the app or tool, but we need somewhere to easily publish it.
I actually recently shared my own version of this concept, but self hosted. I'm optimistic that there can't be much lock-in from the big providers, but I think there's a large market to capture
They’ve both been working on this for a while, I’m surprised they still haven’t launched.
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!
On one hand, I am incredibly tired of seeing the absolute train wreck of waste that is suave founders taking millions and blowing it on hundreds of personnel who do practically nothing— especially having seen what a single person can do with these tools.
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.
Honest question for devs out there... is anyone worried? I don't see enough frank conversation happening around this subject. Timelines. How long until salaries fall? Is it too early to stalk thinking about back up plans? Am I crazy?
No. Saas hedge is to offer solid api + mcp for agents to use whilst still maintaining their own products alongside. That's it, that's the whole thing.
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?
You're not crazy. I think there's still room for the top 5% of devs working on genuinely hard technical problems.. but I don't see a bright future for the rest.
I've said it before but I'll repeat it here until someone changes my mind: jobs in IT are safe until using AI gets its equivalent of "no one ever got fired for buying IBM". Until there can be financial and legal responsibility for when things go bad, people are going to be needed.
Once it's so good AI labs will be happy to accept liability, it's game over. It was never about code quality.
Coding is probably solved. Honestly it’s probably going to be 5 years of runtime starting now depending on industry lag and uptake.
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.
We're in a similar boat. Entire eng team went full AI about a year ago, and honestly we're struggling to find things to do. Features that would take weeks, take minutes.
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.
Serious question from a consumer of software: if software can be improved so effortlessly now, why isn't it getting better?
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.
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.
I think this has always been the end result - when the user can enter a business problem and it spins up a site, and they don't have to think about the hosting, database, app, etc.
Its not for those uses cases. though. THink about squarespace/wix hosting all the company landing pages, restaurant menus, daycares. This will replace it.
I don't think this provides a lot of value for more complex applications. It just lowers the bar for getting started.
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.
The Saaspocalypse was a wet fart that never went anywhere. People aren't using these AI tools to kill or replace SaaS at their jobs as much as HN wants us to believe.
The argument there wasn't that everyone everywhere would use individually customized software* instead of packaged SaaS; it was that, because AI greatly reduces the cost of building an internal app or service, it improves enterprises' BATNA when dealing with SaaS vendors, which means surplus will shift from producers to consumers. It's not obvious to me that that's not happening, since it may have been masked by a general increase in automation since AI also synergizes significantly with SaaS. (The Stripe Economics post gets into this a little, though it's mostly less curious than I'd like about why the "SaaSpocalypse" didn't materialize. Of course, Stripe has an economic interest here.)
* 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.
I mean, with a Cloudflare API key you can pretty much already do that. But keeping your data straight and putting in the right authentication guards, etc. are all still where the business problems meet technical and the AI is not enough unless the agent is both architect and customer.
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.
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.
They'd better be proactive with checking for abusive users, because I can easily see people trying to spin up honeypots, crypto miners, scam sites, etc. on this. Especially given that the hosting appears to be free with undefined CPU/RAM limits.
Gonna wager good money they attempt to relaunch Apps or something of the sort, where you build, launch, host within ChatGpt, seamlessly making it easier really soon.
something that solves a real problem for businesses, that you are uniquely positioned to execute on well.
If you target the lowest common denominator, or consumers, or build something really quickly - good luck
For whatever reason most of the sites are Arabic-language prototypes for things like plumbing companies. I'm not sure why - if those are solving a real problem, or whether someone is running a scam, or what.
Cool project, but the hero art is a little strange (what is the dude on the left hammering? Aren’t the ones on the right both pulling the pulley down from opposite ends?)
We’ve been building something like this, but perhaps even more powerful, safe, and beginner friendly. If Sites looks like it’s the right speed for you, we’d love your feedback on https://vibes.diy/
My guess is Google and Apple are going to eventually take all the market share for this "app builder" category. They own the device market-share and can offer way better integration
I have been building https://github.com/openrundev/openrun. OpenRun allows you to build web apps, adding OIDC/SAML with RBAC to control who can access the apps. Supports MCP for app management. Also supports service bindings, which enables providing each app an isolated database account.
Does anyone know if Claude makes it easy to publish sites u vibe coded to a custom subdomain or new domain? That’s the biggest reason I use this feature in ChatGPT over Claude
I'm genuinely sad that what we learned with hard work and sweat, our craft, our identity, our soul; is now something you can buy. I've been in this profession for a long time and now I see people who have absolutely no fucking clue, but lots of money, and they buy all these agents and make things that work (way more broken, with absolutely shit quality), but they work and so they brag about their creations to me all day long, and man that makes me feel like a total loser.
I spent decades trying to master media theory, language design, computer graphics, compiler design, rewriting systems, mathematics, logic, build systems, graphs, data-flow systems, making GUI kits, layout systems, ... all to make a better system for thinking, and now the whole idea of thinking is outsourced (as altman says "sold as utility by the meter"). I need to become an addict or something and be wasted. This is not a life.
Are we looking at the same website? My eyes immediately go to the font and typeface styling and it registers immediately as AI generated. There’s a very distinct “AI” website aura that Claude and ChatGPT make that requires you to change a ton of the styling to make go away.
You spent decades on this and you think that linked website is not slop? You say its "basic" but its really not, its overengineered nonsense if you look closely.
It's worth for the token budget. You can do so much with gpt-6.1-sol (high) on a small sub. If the money is not aan issue it's probably still worth it for Astra because it can occasionally be smarter than Fable 5.1 (or so I heard).
Could you just be an API to serve intelligence instead of moving into the app layer and putting your clients out of business. How much wealth and power do you need to accumulate seriously?
The "intelligence API" layer seems like a pretty rough business to be in. The smarter the models the more they're commodities (since they can use any harness or scaffolding) resulting in a race to the bottom on pricing. And then each new better model requires double the cost of the previous one.
I'm surprised there's not a bigger push into better and useful memory, since that would result in actual lock-in.
The question of them moving into the app layer is completely irrelevant. If you are threatened by this the reality you need to begin making peace with is that your business is not going to exist within 10 years. And that's being extremely generous.
This was always the play…
Wait until the models are trained to work on “capsules of your data” stored by OpenAI, and deploy your apps/services onto OpenAI cloud where you can _easily_ share the development with your team members’ AI agents. Ofcourse, they will all work only if you use and pay for their models via their subscriptions. A new global {K-V, Relational, Vector} database that your coding model is already trained to work with! will come very soon…
They know the API price wars are a race to the bottom with little/no profit margins.
I think this is going to back fire. I have talked to 5 tech leaders at companies and universities this week about setting up their own infrastructure for inference and training. They are worried about multiple rug pulls: increasing cost of tokens, stealing ideas, training on data etc. they are all willing to uses less intelligence models if they avoid these issues. They’ve seen me setting up propelcompute.com for my start up and propelcode.app neither of which are intended to be commercial products and want to do the same.
Don't worry, we had DreamWeaver, Wordpress and other tools for a long time now but it still did not replace web developers. Build quality tailor made websites that connect to humans and you will be fine.
DreamWeaver and WordPress both had limits on the complexity of site they could build. If you wanted more than what they can do, you look to web developers.
If you're wondering why OpenAI's models seem to be struggling to stay ahead of Anthropic and are falling further behind, I think it's because of side quests like this.
They have dots, they had Sora, so many other things that take away attention from just having the best model. There are already a bazillion ways to do this. Sure, the integration's nice, but it's just not needed.
Weird to describe something they could really easily sell to non-coders as a "side quest".
I think programmers make the mistake of thinking generative AI is for us, when it is much more ominously about us.
Newsflash: a company that plans to be the most valuable business on earth and has a desperate need for revenue is not going to stay out of anyone’s lane if there is money to be found in it. If you can make an AI wrapper, so can they.
This actually looks like it has meaningful potential, and given how easily they could train it to connect to a whole bunch of off-the-shelf APIs running in data centres they control, looks like a little glimpse of the future, and of the kind of power the industry has gleefully handed to the crypto-for-your-eyeball-scans guy.
Cloud AI has been the face-eating leopard of the tech industry for the last three years. This is them just starting to chew. How long before they tweak it to generate intranet apps, mini stores, specific AI wrappers? Why wouldn’t a firm that has so much influence over data centre rollout, RAM and processor prices simply directly start using their code generation tools and data centres to build and run the work product?
Maybe some of the big firms who have been helping train ChatGPT to eat their lunch will now wake up to the need for open weights.
I think at this point assessments like this are more qualitative than quantitative. I use Codex far more than I use Claude for coding and my results are generally higher quality. I would not, however, go to someone and tell them that Codex is better than Claude generally. In large part it depends on how you use the model and the harness.
All of these "side quests" (and especially this one) are attempts to build a walled-garden.
Especially this. OpenAI will host it. OpenAI will throw "Sign in with ChatGPT" there. "Apps" will be built that depend on end users ChatGPT "connections". The app will fundamentally not work without an end-user having a ChatGPT account/subscription and "connected apps".
Having "the best model" will absolutely not support a $1T+ valuation. Owning the activity of 25-50% of internet users (assuming a split between OAI/Anthropic/Google/maybe-Meta), is.
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.
Lots.
I’m a pretty sophisticated user (both a designer and software engineer) and I’ve ragequit several of these tools before.
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?
Maybe I'll do that and post to HN later, didn't expect this much response!
I actually recently shared my own version of this concept, but self hosted. I'm optimistic that there can't be much lock-in from the big providers, but I think there's a large market to capture
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!
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.
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?
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.
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.
Vibe coding full circle
And it will be good enough for 90% of use cases.
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.
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.
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.
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.
Then the app economy gets going within ChatGPT
Wonder what domain they're going to pick next. I feel like many LLM-dependent businesses are going to get sherlocked by OpenAI and Anthropic.
hard out here hard for startups too
Still, I suspect a lot of independent Web developers are sweating. It was already getting tough, but this is a coffin nail.
i make it for anything, i made one as a food guide for the UW chow down https://uw-chow-down-2026.corruptbytes.chatgpt.site/
For whatever reason most of the sites are Arabic-language prototypes for things like plumbing companies. I'm not sure why - if those are solving a real problem, or whether someone is running a scam, or what.
Very clean site design though.
I got tired of spinning up repos for basic pages, so made my own host last year - https://pageplane.app.
I think the SEO/AEO agencies are using them to seed content for clients.
Lo and behold the homepage bundle size is almost 10mb… Seems to mostly be caused by all of those images. I suggest you guys compress those ASAP.
I know that Vercel or something similar is quite close to that, but it's not that well integrated into MCP/Skills.
https://tidal-house-retreat.openai.chatgpt.site/
> Quiet cabins. A view of your own.
I'm genuinely sad that what we learned with hard work and sweat, our craft, our identity, our soul; is now something you can buy. I've been in this profession for a long time and now I see people who have absolutely no fucking clue, but lots of money, and they buy all these agents and make things that work (way more broken, with absolutely shit quality), but they work and so they brag about their creations to me all day long, and man that makes me feel like a total loser.
I spent decades trying to master media theory, language design, computer graphics, compiler design, rewriting systems, mathematics, logic, build systems, graphs, data-flow systems, making GUI kits, layout systems, ... all to make a better system for thinking, and now the whole idea of thinking is outsourced (as altman says "sold as utility by the meter"). I need to become an addict or something and be wasted. This is not a life.
I agree the second site is nice looking though.
Are we looking at the same website? My eyes immediately go to the font and typeface styling and it registers immediately as AI generated. There’s a very distinct “AI” website aura that Claude and ChatGPT make that requires you to change a ton of the styling to make go away.
And I wish there was a SponsorBlock type, crowdsourced slop filter for Youtube.
I haven't used ChatGPT in over a month. I bounce between Grok, Gemini & Claude. Is ChatGPT even worth it.
Grok can do things the other two can't, like read and fetch websites sometimes where Claude and Gemini cannot.
Gemini is just someone to feed javascript to when you want to save on Claude tokens.
I'm surprised there's not a bigger push into better and useful memory, since that would result in actual lock-in.
I hope you support UBI.
They know the API price wars are a race to the bottom with little/no profit margins.
That limitation doesn't exist with ChatGPT
They have dots, they had Sora, so many other things that take away attention from just having the best model. There are already a bazillion ways to do this. Sure, the integration's nice, but it's just not needed.
Which means non-technical ChatGPT users are a bit bewildered as to how to pick.
This makes that easy; I suspect normies will fucking love it. My boss will.
I think programmers make the mistake of thinking generative AI is for us, when it is much more ominously about us.
Newsflash: a company that plans to be the most valuable business on earth and has a desperate need for revenue is not going to stay out of anyone’s lane if there is money to be found in it. If you can make an AI wrapper, so can they.
This actually looks like it has meaningful potential, and given how easily they could train it to connect to a whole bunch of off-the-shelf APIs running in data centres they control, looks like a little glimpse of the future, and of the kind of power the industry has gleefully handed to the crypto-for-your-eyeball-scans guy.
Cloud AI has been the face-eating leopard of the tech industry for the last three years. This is them just starting to chew. How long before they tweak it to generate intranet apps, mini stores, specific AI wrappers? Why wouldn’t a firm that has so much influence over data centre rollout, RAM and processor prices simply directly start using their code generation tools and data centres to build and run the work product?
Maybe some of the big firms who have been helping train ChatGPT to eat their lunch will now wake up to the need for open weights.
Especially this. OpenAI will host it. OpenAI will throw "Sign in with ChatGPT" there. "Apps" will be built that depend on end users ChatGPT "connections". The app will fundamentally not work without an end-user having a ChatGPT account/subscription and "connected apps".
Having "the best model" will absolutely not support a $1T+ valuation. Owning the activity of 25-50% of internet users (assuming a split between OAI/Anthropic/Google/maybe-Meta), is.
Anthropic is just trying to get to ASI and relying on the blind faith of investors that there will be a return at the end.
What matters is which strategy is more effective for attracting investor capital, because neither can survive without it.
The frontier companies are scrutinized heavily for their trillion dollar valuations all without a clear mass-consumer use-case. They're trying stuff.
They are trying to build an ecosystem that can capture the value of AI, whereas LLMs are quickly becoming a commodity.
Where is the moat? How can they convert users?
If you were sitting on a rocket burning cash to not crash you would do that too.