Am I the only one who feels dotcom vibes around this field?
I expect this to proceed similarly: many companies and funding dollars will burn in flames and still, the world will be a different place in a decade thanks to this technology.
Why am I feeling it isn't going to be a repeat of the standards-driven co-operative development supported by open source software infrastructure that occurred during the decade and a half after the dotcom bubble.. I have a feeling it would resemble the pre mass computing world of AT&T, GE and IBM.
There are a lot of open source LLMs being developed, ones you can run at home on your own data.
i hope these take off too
What would be the threshold for them to "take off"? It's all already out, so already there no?
its been a while, but last i tried it wasnt as good as the proprietary models.
Which ones did you try?
i tried the llama model for text, and another one meant for images i cant quite remember the name but it was one of the main ones.
are they any good now? running an llm actually sounds mildly useful.
The Mixtral models are pretty good, although they require a LOT of memory to run at a decent pace.
Honestly i think speed is something I don't care too much about with models, because even things like ChatGPT will be slower than Google for most things, and if something is more complex and a good use case for an LLM it's unlikely to be the primary bottleneck.
My gf private chat bot right now is a combination of Mistral 7B with a custom finetune and she it directs some queries to ChatGPT if I ask (I got free tokens way back might as well burn through them).
How much of an improvement is Mixtral over Mistral in practice?
Sillytavern by any chance?
And I'd say the difference between mistral and mixtral is pretty big for general usage, feels like it's a next generation.
Same with crypto right? It's the standard new tech comes out and 100 companies tries to capitalize and maybe 5% will survive.
This is the correct answer. Consolidation of resources and power. Sure there will still be those on the periphery trying to make something from the eddies and currents left in the wake of these massive corporate ships cruising by, but the vast majority of the little guys will drown. Unfortunately I don't see another way for humanity to galvanized enough resources to create AGI in our lifetime. So there will be consequences, but such is life, the biggest mold gets the food. Then come the viruses.
I love when ppl call out the dot coms as of the winners of the dot com bubble aren't still around.
AI will not burst. There is too much value there to too many industries.
Name one business that doesn't have a web domain and or FB page.
In 20 years u won't be able to name a company that doesn't use AI in some way.
Isn't that the same thing they said about crypto?
Crypto never got this far, not even a little. It may or may not always be around in some form as alternative currency but I think that's about all it will ever be useful for.
Am I the only one who feels dotcom vibes around this field?
I expect this to proceed similarly: many companies and funding dollars will burn in flames and still, the world will be a different place in a decade thanks to this technology.
Why am I feeling it isn't going to be a repeat of the standards-driven co-operative development supported by open source software infrastructure that occurred during the decade and a half after the dotcom bubble.. I have a feeling it would resemble the pre mass computing world of AT&T, GE and IBM.
There are a lot of open source LLMs being developed, ones you can run at home on your own data.
i hope these take off too
What would be the threshold for them to "take off"? It's all already out, so already there no?
its been a while, but last i tried it wasnt as good as the proprietary models.
Which ones did you try?
i tried the llama model for text, and another one meant for images i cant quite remember the name but it was one of the main ones.
are they any good now? running an llm actually sounds mildly useful.
The Mixtral models are pretty good, although they require a LOT of memory to run at a decent pace.
Honestly i think speed is something I don't care too much about with models, because even things like ChatGPT will be slower than Google for most things, and if something is more complex and a good use case for an LLM it's unlikely to be the primary bottleneck.
My
gfprivate chat bot right now is a combination of Mistral 7B with a custom finetune andsheit directs some queries to ChatGPT if I ask (I got free tokens way back might as well burn through them).How much of an improvement is Mixtral over Mistral in practice?
Sillytavern by any chance?
And I'd say the difference between mistral and mixtral is pretty big for general usage, feels like it's a next generation.
Same with crypto right? It's the standard new tech comes out and 100 companies tries to capitalize and maybe 5% will survive.
This is the correct answer. Consolidation of resources and power. Sure there will still be those on the periphery trying to make something from the eddies and currents left in the wake of these massive corporate ships cruising by, but the vast majority of the little guys will drown. Unfortunately I don't see another way for humanity to galvanized enough resources to create AGI in our lifetime. So there will be consequences, but such is life, the biggest mold gets the food. Then come the viruses.
I love when ppl call out the dot coms as of the winners of the dot com bubble aren't still around.
AI will not burst. There is too much value there to too many industries.
Name one business that doesn't have a web domain and or FB page. In 20 years u won't be able to name a company that doesn't use AI in some way.
Isn't that the same thing they said about crypto?
Crypto never got this far, not even a little. It may or may not always be around in some form as alternative currency but I think that's about all it will ever be useful for.
Crypto never had any use-case