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Many people would, and you'll find that they're building crappy webapps where you dont need SoTA. Like seriously who needs these frontier models?

Unless you're doing some extermely difficult post-grad lvl research, you do not need a 100x PhD research assistant, especially not for whatever silly SaaS product most people are building.

There's people at my job that get so much more done than everyone else using Fable/Opus/Astra. and all they use is the fastest cheapest models. I'd say the people who are using sota models for everything are doing it just because they prefer to be lazy.

You simply do not need these frontier models, they outgrew most people's needs 6 months ago, but for some reason people still want to run a 700k rack of gpus full throttle to center a div for them.

by askjdfksdbfhk16 hours ago|

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I agree that for average web dev tasks the open models are already good enough. I've had good experiences with both DeepSeek and GLM. And these models are just better for anything security related since they don't throw massive hissy fits.

However I do actually have a project where I need the frontier models--I'm working on a deep learning project of moderate complexity (something novel/state of the art within its domain, adapting a known approach from published research in a related domain). The difference from Opus 5 -> Opus 5.5 was huge for my project. Opus 5 was struggling, Opus 5.5 is doing really well.

I think the demand for frontier models will continue to be there, at least for a subset of tasks, although I agree that it is probably going to shrink as the non-frontier becomes more and more capable.

by yaro33022 hours ago|

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I think the market would be huge, especially if it's the "can complete a large task in 3 turns instead of 15" kind of smart. Lots of people and companies would pay for quality + speed.

by kelnos22 hours ago|

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I think there would be a market, but it would mostly be a FOMO market. That is, people would be doing tasks on it that the "regular" model is more than capable of handling, because they're afraid they're leaving something on the table by not using the absolute best option.

Certainly, there's a real market for it too, with people who would actually use its advanced capabilities, and see the 100x price as worth it.

But sure, even a mostly-FOMO market is still a market. If people are paying, people are paying.

by samfriedman20 hours ago|

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What does 10x more capable look like now? Surely at some point we will reach an asymptote of what can be done purely digitally: all useful coding tasks can be automated, most math research, etc. At some point the physical world becomes the dyke holding back the singularity; until these genius models can scale their investigation into physical experiments and manufacturing, the future will have arrived only in the digital world.

by BobbyJo19 hours ago|

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I think you're making a mistake in thinking the digital world is the only one reachable to AI. Robotics and sensing would be opened up by a sufficiently capable AI.

by Gareth32116 hours ago|

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I agree: large market. I think the future of these frontier labs is selling exceptionally powerful and exceptionally expensive models. They'll be used for precision, high value tasks. The rest of us will be happy with good enough and cheap models.

by ForHackernews1 days ago|

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Doing what? How many jobs involve solving Millennium Prize math challenges?

99% of everything is CRUD LoB apps.

by BobbyJo1 days ago|

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I am coding CRUD apps with a mix of astra, sol 6.1, fable and opus 5.5. A more capable model would still benefit me imo. Being able to follow high level guidance better, and being able to harness other models for each task would be a big improvement.

by lifeisloving1 days ago|

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Do you know how what you're doing, or do you find yourself working on things you dont understand and need the best model because it's the only way to push your own capabilities (because you're avoiding learning how to do the thing yourself)?

Not asking to be mean, I just genuinely dont know why you'd need the frontier for basic applications.

by BobbyJo1 days ago|

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It's a matter of bandwidth. The more I can offload onto the model, the more I can accomplish. For example, I had to do a lot of security work over the last 2 weeks to get ready for an event. This requires handholding current models on many fronts, like: 1) Do they actually implement the security fixes correctly. 2) Do their fixes create any new edge cases. 3) Do their fixes compromise existing interfaces or API surfaces.

I cannot trust current models to find all the necessary context, or to make what I consider to be good trade offs. A much more capable model would be able to see my existing patterns (or at least not have context rot make them blind to my convention docs) and make trade offs I agree with much more consistently, and I'd be able to do more with my time.

I've actually found models to be pretty poor at driving things I don't know well, so I generally don't do that unless its general design/product exploration and the end product code is throw-away.