Every AI subscription is a ticking time bomb for the frontier provider; within a few years we will be running local models as good as today’s frontier models with almost no cost burden. The floor will fall out of the enterprise market for all the frontier companies.
AI subscriptions are a ticking time bomb for enterprise
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Re: AI subscriptions are a ticking time bomb for enterprise
#112Every AI subscription is a ticking time bomb for the frontier provider; within a few years we will be running local models as good as today’s frontier models with almost no cost burden. The floor will fall out of the enterprise market for all the frontier companies.
Unless there isn't some important breakthrough in hw production or in models architecture, it's quite the opposite: bigger, more expensive and more energy-intensive hw is needed today compared to 1 or 2 years ago.
Re: AI subscriptions are a ticking time bomb for enterprise
#113Every AI subscription is a ticking time bomb for the frontier provider; within a few years we will be running local models as good as today’s frontier models with almost no cost burden. The floor will fall out of the enterprise market for all the frontier companies.
Re: AI subscriptions are a ticking time bomb for enterprise
#114Article is mistaken these subs are not available to businesses. Companies are paying much closer to API prices. The strategy is to get you accustomed to infinite tokens on your personal sub and bet that behavior transfers to work.
Re: AI subscriptions are a ticking time bomb for enterprise
#115Every AI subscription is a ticking time bomb for the frontier provider; within a few years we will be running local models as good as today’s frontier models with almost no cost burden. The floor will fall out of the enterprise market for all the frontier companies.
> within a few years we will be running local models as good as today’s frontier models with almost no cost burden Based on what? The RAM requirements alone are extraordinary. No, running large models on shared, dedicated hosted hardware at full utilization is going to be vastly more cost-efficient for the foreseeable future.
Re: AI subscriptions are a ticking time bomb for enterprise
#116Earlier quoted context omitted.
Tokens can be sold at profit, but 70% of compute expenditure goes to R&D and model training[0]. Inference needs to cover all of that as well as being profitable in a vacuum. [0] https://epoch.ai/data-insights/openai-compute-spend
this will change as inference demand increases (which is happening right now faster than many people expected)
Re: AI subscriptions are a ticking time bomb for enterprise
#117Not just AI. Every subscription in general can be a time bomb. You grow more dependent on it, and the provider can disappear or take it away at any moment.
Re: AI subscriptions are a ticking time bomb for enterprise
#118Earlier quoted context omitted.
> within a few years we will be running local models as good as today’s frontier models with almost no cost burden Based on what? The RAM requirements alone are extraordinary. No, running large models on shared, dedicated hosted hardware at full utilization is going to be vastly more cost-efficient for the foreseeable future.
Local modals are 6 months to 18 months behind frontier. Even if the performance of a cloud model is faster, it's clear that local is catching up.
Re: AI subscriptions are a ticking time bomb for enterprise
#119Earlier quoted context omitted.
> within a few years we will be running local models as good as today’s frontier models with almost no cost burden Based on what? The RAM requirements alone are extraordinary. No, running large models on shared, dedicated hosted hardware at full utilization is going to be vastly more cost-efficient for the foreseeable future.
Local modals are 6 months to 18 months behind frontier. Even if the performance of a cloud model is faster, it's clear that local is catching up.