21–30 of 94 posts
Yet OpenAI and Anthropic combined are somehow making $100B in revenue...
Given how big AI is, and how those two are pretty much the only players (in comparison aws is 1/3 market share), that seems about right.
It's a far cry from "nobody's going to be writing any code, and ai will do all the things in 6 months".
Nowadays I don't understand why you wouldn't use a (more-or-less) nearby hosted Chinese model. You have the security, you have roughly the same performance, and you have an order of magnitude more bang for your buck. Bonus point : the models aren't censored and won't refuse to answer in the middle of your coding session.
Is censorship not an issue with Chinese models?
So by default you'd be better with one of the Chinese models if you're American.
Yet OpenAI and Anthropic combined are somehow making $100B in revenue...
Nowadays I don't understand why you wouldn't use a (more-or-less) nearby hosted Chinese model. You have the security, you have roughly the same performance, and you have an order of magnitude more bang for your buck. Bonus point : the models aren't censored and won't refuse to answer in the middle of your coding session.
Is censorship not an issue with Chinese models?
Never spent more than 40 euros per month on the base plans for Claude and OpenAI. And I’m doing 10x the amount of work I did before. As long as my computer isn’t running at night as well, I’m not upgrading.
Nowadays I don't understand why you wouldn't use a (more-or-less) nearby hosted Chinese model. You have the security, you have roughly the same performance, and you have an order of magnitude more bang for your buck. Bonus point : the models aren't censored and won't refuse to answer in the middle of your coding session.
Nowadays I don't understand why you wouldn't use a (more-or-less) nearby hosted Chinese model. You have the security, you have roughly the same performance, and you have an order of magnitude more bang for your buck. Bonus point : the models aren't censored and won't refuse to answer in the middle of your coding session.
Is censorship not an issue with Chinese models?
Nowadays I don't understand why you wouldn't use a (more-or-less) nearby hosted Chinese model. You have the security, you have roughly the same performance, and you have an order of magnitude more bang for your buck. Bonus point : the models aren't censored and won't refuse to answer in the middle of your coding session.
Is censorship not an issue with Chinese models?
We’re at a small startup and we mix models. But mainly just between the major providers. I wouldn’t say it’s as much to avoid spending money as it is to get the maximum benefit out of different capability spectrums.
The other, more complex one would be “what benefit” are you talking about? Clearly there are some differences in performance regarding speed and token cost, but industry news indicates not a single one has solved the inherent hallucination problem which makes the reliability akin to an untreated schizophrenic research or coding assistant.
If you sell "AI" maybe, if you sell products that happen to use LLMs to provide services previously not possible, the money still exists in my experience. When I first heard of tokenmaxxing, I thought it had to be a joke. But no, it turned out to be a widespread phenomenon. I still cannot believe that was a thing. What I keep saying in internal meetings is: "I am so glad these people are this bad at deploying these t…
It’s a forcing function. If you are running a company you need to be in control. Some engineers dngaf or will sandbag everything. We did a 90 day push and identified where we found value and where we didn’t. Our tools teams really upped their game, more than expected, and it would have been unlikely to have been funded if they tried to justify the budget as an individual initiative. There’s a spectrum of people - som…