As expected vibecoding bros cannot even read the manual properly.
It is pretty trivial to pin a single provider for a model. Better yet, instead of calling the model directly, use presets instead. You can easily change the setting on openrouter without having to update your app every time.
The article mentioned they pinned the provider and model and the result was bad as well with their own shenanigans. That part was in the end of the article so maybe you missed it.
Crazy that they still keep the price -- or actually decrease it, even -- despite it is a big improvement. I hope it retains some of the tps speed of the preview release though, 300 tps means gemini flash is no longer "the fastest option" any more.
luckily I have purchased a used amd mi50 32gb card for pretty cheap back then. while I haven't used it extensively, it feels pretty great having a backup plan that does not depend on any external 3rd parties.
openai did human crafted chain of thought dataset training. deepseek didn't have the resources so they attempted RL. doing RL correctly is hard because of the risk of model collapsing.
very important actually. just try to generate code for fresher frameworks/libraries. gemini sucks so bad in real work usage, everything it suggests are outdated and mostly useless.
Still refuse to search internet for stuff it thinks does not exist lol.
And even when searching for internet, it still cannot suggest a up-to-date approach to the problem.
For example I'm using crystal, it recently revamped the concurrency/parallel model. Even using web search, gemini still does not aware of the new feature and still give the outdated code.
I'm sure my crystal usage is not the unique case here.
Because you can also use grok and a dozen other models. In fact grok is preferred choice for cursor right now, so obviously the other models get sidelined
1. they still have revenue though. it might not enough to cover all the r&d but it is surely enough to cover the hardware cost.
2. people tend to ignore this, but the salary budget of a US frontier lab and chinese frontier lab is nowhere comparable, the first can easily outdone the later by 100x.
3. us labs, like other US style startups, always throw ton of money to capture the market. I don't see the chinese company doing the same scheme at all.
so, surely chinese AI providers also lost money making new models, but they are not spending nearly as much as US ones.
>1. they still have revenue though. it might not enough to cover all the r&d but it is surely enough to cover the hardware cost.
>2. people tend to ignore this, but the salary budget of a US frontier lab and chinese frontier lab is nowhere comparable, the first can easily outdone the later by 100x.
Both arguments make it seem like there's a double standard for american vs chinese AI companies, where american labs are held up to strict standards for profitability, but chinese labs get a pass because [insert handwaving about how some aspect of chinese labs is different]. Let's do apples to apples comparisons here, what are both sides' run rates and revenue growth prospects?
>3. us labs, like other US style startups, always throw ton of money to capture the market. I don't see the chinese company doing the same scheme at all.
Right, instead they're releasing their models for free so competitors can undercut them on inference. American labs' prospect of "there are open models 90% as good but cost less" might seem bad, but chinese labs' prospect of "there are companies offering the exact same models but aren't on the hook for r&d spend" seems even worse.
> there's a double standard for american vs chinese AI companies
Not really, in a way. Things just cost far more in the US than in China; has pretty much always been the case, far back as I can recall. The Chinese state heavily invests in anything it wants to succeed at, and it has the resources to throw. Cost of living is generally wildly lower in China, along with salaries (although it's also pretty location- and role-dependent).
Overall I'd say labs are far cheaper to run in China than in the US, in more than just from the finances angle.
Literally nothing is known about how these companies are financed. The usual story is that Moonshot was chosen when 'Mythos' occasioned a huge state crisis. China is the ascended masters of insane amounts of capital poured into whatever the state takes into its head next.
It is pretty trivial to pin a single provider for a model. Better yet, instead of calling the model directly, use presets instead. You can easily change the setting on openrouter without having to update your app every time.
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