Making incredibly complex and opaque pricing structures is not necessary for the providers to charge for and make a profit on their service. And being technically difficult is a lazy excuse. Cloud platforms have to solve many, much more difficult challenges to offer their services at all, they just don’t want to invest the time in more customer friendly billing because they expect it will result in reduced revenues.
I know your post isn’t explicitly defending the platforms, but the arguments they use feel transparently flimsy.
It’s a terrific car if you want a great handling convertible at a low price point. As you said, it’s fun.
It’s not good at moving a lot of people or things, or going really fast, or lasting for 500k miles, or being as cheap as possible. Other cars are good at some of those things, but what is the Miata missing that is otherwise required to be a ‘good’ car?
I’m sympathetic to the intent of your argument, but man, that’s a hallava gotcha there. Other than nuclear there isn’t a compelling story for a base load source of green energy. And all the new-gen nuclear tech is a long shot for safe, cost efficient, rapid scaling right now.
I read everything. I will have AI ingest NDAs to make sure they arent glaringly weird and I then go read them, it gives me a good idea of what to look for.
It’s more that unwanted disclosure of sensitive business numbers is a product-class limitation at this time. While undoubtedly some models are better than others, expecting them not to leak information in high stakes output is unseasonable. Seems like you agree, since you are reading everything.
Jumping to another company’s offering because of one instance doesn’t seem like that’s going to meaningfully change your experience. I’m guessing there was more to it, but that’s how it came across in your first post.
I don’t see any screaming and waving arms in the parent. It’s a passionate but well reasoned and carefully presented case. If that is to be dismissed as zealotry we’ll all need to stick to writing journal papers to avoid the label.
If anything your “copyright forever” drumbeat and incorrect read of “only being trained on copyrighted works” are more hyperbolic than anything you’re responding to.
Also, the models from China are only being released open weights as competitive positioning against the globally more used competition. If the Chinese companies had a dominant market position they’d be falling prey to the same forces that have caused OpenAI and Anthropic to behave the way they do.
I know your post isn’t explicitly defending the platforms, but the arguments they use feel transparently flimsy.
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