The usage of LLMs is continuing to increase ~exponentially. I'm going to bet on that rather than some half-baked scenario analysis that only takes into account one scenario and assigns a 100% probability to it.
The usage of LLMs is continuing to increase ~exponentially. I'm going to bet on that rather than some half-baked scenario analysis that only takes into account one scenario and assigns a 100% probability to it.
> The usage of LLMs is continuing to increase ~exponentially
I would like a source for that statement. Additionally, I want to know by who? Because it certainly isn't end users. Inflating token usage doesn't make it any more economically viable if your user base, b2b or not, hasn't increased with it. On the contrary, that is a worse scenario for providers.
> I would like a source for that statement
The recent enterprise revenue numbers of Anthropic
So as I said, a self interested metric who also controls how many tokens it takes to get a desirable result from their models.
Users are willingly paying for larger volumes of tokens. You are layering your own unproven interpretation onto that. I would have arrived at an opposite interpretation given the available facts. Models are becoming more token efficient for the same task, such as ChatGPT 5.3 versus 5.2 which halved the token count, and capabilities show a log relationship with the number of tokens since o1 preview was revealed in September 2024.
No, you have gone off in your own tangent. The person you're responding to is talking about money and my point is that you're using a misleading metric. Even if the current user base is paying more for the "exponential token usage", it does not add up to the industry's cost of maintaining and building on this technology, especially since we are not taking into account what that token usage costs the provider. First you said Anthropic as your source, but now you're talking about OpenAI's ChatGPT, who are floundering for a product and user base, which they themselves claim will be profitable through subscriptions at numbers never seen before in a subscription business model.
> Additionally, I want to know by who?
1. As a consultant pretty much every company I have worked with in the last 2 years are doing some kind of in-house "AI Revolution", I'm talking making "AI Taskforce" teams, having weekly internal "AI meetings" and pushing AI everywhere and to everyone. Small companies, SMEs and huge companies. From my observation it is mainly due to C-level being obsessed by the idea that AI will replace/uplift people and revenue will grow by either replacing people or launching features 10x quicker.
2. Did you see software job-boards recently? 9/10 (real) job listings are to do with AI. Either it is fully AI company (99% thin wrapper over Anthropic/OpenAI APIs) or some other SME that needs some AI implementations done. It is truly a breath of fresh air to work for companies that have nothing to do with AI.
The biggest laugh/cry for me are those thin wrappers that go down overnight - think all the "create your website" companies that are now completely useless since Ahtropic cut the middleman and created their own version of exactly that.