Bard isn't a model, it's a product. Saying comparisons against "Bard" without specifying a particular point in time are like analyses of "ChatGPT" without specifying a model. There have been a number of releases adding more features, tool use, making it smarter, and crucially adding more languages. ChatGPT is not fine-tuned in different languages – it manages them but lacks cultural context. That's one place Bard is quite far ahead from what I've seen.
Most people don't use LLMs. Of those that do most people just know they're using "ChatGPT". A slim minority care about the model.
In my opinion, not focusing on the model, focusing on the product, and focusing on positioning for normal users (free, fast, fine tuned in many languages, "easy"), is a better product positioning.
> In my opinion, not focusing on the model, focusing on the product, and focusing on positioning for normal users (free, fast, fine tuned in many languages, "easy"), is a better product positioning.
Does google agree? doesn't the fact that they're so deliberately creating user-focused branding for different models (ultra, pro, nano) show they also see the value in the differentiation?
I can't speak for Google, and must emphasise that these are personal opinions. However I'd say that this entire marketing push is mostly for the super-engaged early adopters, not targeted at the general public. Looking at the YouTube videos, the more they seem to be targeted towards a general audience the less they mention these specifics. So, I suspect that the Ultra/Pro/Nano branding will mostly be used on the advanced Bard product that they speak about in the launch blog post, and on the APIs available to developers.
