> There's only so much information in the world and we've largely downloaded it all, so it can't get better there.
What about all the input data into LLMs and the conversations we're having?
That must be able to produce a better next gen model, no?
> it's ridiculously easy for anyone to fine-tune training, we don't need frontier companies for that.
Not for me. It'll take me days, and then I'm pretty sure it won't be better than Gemini 3 pro for my coding needs, especially in reasoning.
> For doing math you'll use one model, for intelligence you'll use a different model, for coding a different model, for health a different model, etc, and the reason is simple: it's faster, lower memory, and more accurate.
Why wouldn't e.g. Gemini just add a triage step?
And are you sure it's that much easier to get a better model for math than the big ones?
I think you underestimate the friction this causes regular users by handpicking and/or training specific models, whilst the big vendors are good enough for their needs.
What about all the input data into LLMs and the conversations we're having? That must be able to produce a better next gen model, no?
> it's ridiculously easy for anyone to fine-tune training, we don't need frontier companies for that.
Not for me. It'll take me days, and then I'm pretty sure it won't be better than Gemini 3 pro for my coding needs, especially in reasoning.
> For doing math you'll use one model, for intelligence you'll use a different model, for coding a different model, for health a different model, etc, and the reason is simple: it's faster, lower memory, and more accurate.
Why wouldn't e.g. Gemini just add a triage step? And are you sure it's that much easier to get a better model for math than the big ones?
I think you underestimate the friction this causes regular users by handpicking and/or training specific models, whilst the big vendors are good enough for their needs.