They, anthropic, others, are constantly pushing and over-extending, but theyve already long since by passed models that are useful for various tasks. Certainly not everything, but if the big players died tomorrow you could run a local model on a gaming GPU that would still do decent amounts of work if you were the kind of person who had a use for it.
Not everyone is, and thats ok.
I find chatgpt very useful for work, but id be cool with them failing and having to downgrade. Models already did what I needed well enough a year ago, maybe a bit more.
The companies operating frontier models and AI as a viable technology on the scale it exists today are inseparable. If the big players died tomorrow you’d still have that vastly inferior local model that would be good enough for light work for awhile, but without all the eye-popping amounts of money to continue training and scraping data on unprecedented scale, its usefulness would fade over time. Most companies today would not feasibly be able to host and train their own models to be used in the ways they use frontier models today.
LLMs would still exist as a niche solution for some things but what AI fundamentally is, and how it could be used would be entirely different in very short order.
You’re confusing AI with OpenAI.
They, anthropic, others, are constantly pushing and over-extending, but theyve already long since by passed models that are useful for various tasks. Certainly not everything, but if the big players died tomorrow you could run a local model on a gaming GPU that would still do decent amounts of work if you were the kind of person who had a use for it.
Not everyone is, and thats ok.
I find chatgpt very useful for work, but id be cool with them failing and having to downgrade. Models already did what I needed well enough a year ago, maybe a bit more.
The companies operating frontier models and AI as a viable technology on the scale it exists today are inseparable. If the big players died tomorrow you’d still have that vastly inferior local model that would be good enough for light work for awhile, but without all the eye-popping amounts of money to continue training and scraping data on unprecedented scale, its usefulness would fade over time. Most companies today would not feasibly be able to host and train their own models to be used in the ways they use frontier models today.
LLMs would still exist as a niche solution for some things but what AI fundamentally is, and how it could be used would be entirely different in very short order.