Okay this is a nitpick but why wouldn't you increment a part of the version number to signify that there is an improvement? These releases are confusing.
Google has historically always made bad UX choices like this. Conway’s law definitely applies here. Too many different silos building every Google project.
Improved Gemini 2.5 Flash and Flash-Lite
241–250 of 285 posts
Re: Improved Gemini 2.5 Flash and Flash-Lite
#242Earlier quoted context omitted.
Another issue: Gemini can’t do tool calling and (forced) json output at the same time If you want to use application/json as the specified output in the request, you can’t use tools So if you need both, you either hope it gives you correct json when using tools (which many times it doesn’t). Or you have to do two requests, one for the tool calling, another for formatting At least, even if annoying, this issue is pret…
Does any other provider allow that? what use cases are there for JSON + tool calling at the same time?
Re: Improved Gemini 2.5 Flash and Flash-Lite
#243This really captures something I've been experiencing with Gemini lately. The models are genuinely capable when they work properly, but there's this persistent truncation issue that makes them unreliable in practice. I've been running into it consistently, responses that just stop mid-sentence, not because of token limits or content filters, but what appears to be a bug in how the model signals completion. It's been…
Small things like this or the fact that AI studio still has issues with simple scrolling confuse me. How does such a brilliant tool still lack such basic things?
Re: Improved Gemini 2.5 Flash and Flash-Lite
#244Re: Improved Gemini 2.5 Flash and Flash-Lite
#245Am I using a different Gemini from everyone else? We have Google Workspace at my job, so Gemini is baked in. It is HORRENDOUS when compared to other models. I hear a bunch of other people talking about how great Gemini is, but I've never seen it. The responses are usually either incorrect, way too long, (essays when I wanted summaries) or just...not...good. I will ask the exact same question to both Gemini and ChatGP…
I think the "baked in" Gemini models are different, try using Gemini through the actual Gemini site.
Re: Improved Gemini 2.5 Flash and Flash-Lite
#246This really captures something I've been experiencing with Gemini lately. The models are genuinely capable when they work properly, but there's this persistent truncation issue that makes them unreliable in practice. I've been running into it consistently, responses that just stop mid-sentence, not because of token limits or content filters, but what appears to be a bug in how the model signals completion. It's been…
Re: Improved Gemini 2.5 Flash and Flash-Lite
#247The way I have come to perceive AI is that it's mostly good at reassuring/reaffirming people's beliefs and ideas than an actual source of truth.
That would not be an issue if it was actually marketed as such, but seeing the "guided learning" function fail time and again makes me think we should be a lot more critical of what we're being told by tech enthusiasts/companies about AI.
Re: Improved Gemini 2.5 Flash and Flash-Lite
#248Re: Improved Gemini 2.5 Flash and Flash-Lite
#249The most annoying thing about Gemini is that it can't stop suggesting youtube videos. Even when you ask it to stop doing that, multiple times in the same conversation, it will just keep doing it.
Re: Improved Gemini 2.5 Flash and Flash-Lite
#250Earlier quoted context omitted.
FWIW, the versions are not semver but they do follow a defined and regular version schema: https://ai.google.dev/gemini-api/docs/models#model-versions .
I am seeing a lot of demand for something like a semver for AI models. Could thereotically there could be something like a semver that can be autogenerated from that defined and regular version scheme that you shared? Like, Honestly my idea of it is that I could use something like openrouter and then just change the semver without having to worry about these soooo many things as the schema that you shared y'know? A w…
With that in mind, what exactly would semver (or similar) represent for AI models? Setup the proper way, your pipelines should continue working regardless of the model, just that the accuracy or some other metric might change slightly. But there should never be any "breakages" like what semver is supposed to help flag.