[op00to]

I found Gemini 2.5 Pro highly useful for text summaries, and even reasoning in long conversations... UP TO the last 2 weeks or month. Recently, it seems to totally forget what I'm talking about after 4-5 messages of a paragraph of text each. We're not talking huge amounts of context, but conversational braindeadness. Between ChatGPT's sycophancy, Gemini's forgetfulness and poor attention, I'm just sticking with whatever local model du jour fits my needs and whatever crap my company is paying for today. It's super annoying, hopefully Gemini gets its memory back!

[energy123]

I believe it's intentionally nerfed if you use it through the app. Once you use Gemini for a long time you realize they have a number of dark patterns to deter heavy users but maintain the experience for light users. These dark patterns are:

- "Something went wrong error" after too many prompts in a day. This was an undocumented rate limit because it never occurs earlier in the day and will immediately disappear if you subscribe for and use a new paid account, but it won't disappear if you make a new free account, and the error going away is strictly tied to how long you wait. Users complained about this for over a year. Of course they lied about the real reasons for this error, and it was never fixed until a few days ago when they rug pulled paying users by introducing actual documented tight rate limits.

- "You've been signed out" error if the model has exceeded its output token budget (or runtime duration) for a single inference, so you can't do things like what Anthropic recommends where you coax the model to think longer.

- I have less definitive evidence for this but I would not be surprised if they programmatically nerf the reasoning effort parameter for multiturn conversations. I have no other explanation for why the chain of thought fails to generate for small context multiturn chats but will consistently generate for ultra long context singleturn chats.

[op00to]

Right! I feel like it will sail through MBs of text data, but remembering what I said two turns ago is just too much.

[harrisoned]

I noticed that same behavior across older Gemini models. I build a chatbot at work around 1.5 Flash, and one day suddenly it was behaving like that. it was perfect before, but after it always saluted the user like it was their first chat, despite me sending the history. And i didn't found any changelog regarding that at the time.

After that i moved to OpenAI, Gemini models just seem unreliable on that regard.

[85392_school]

This might be because Gemini silently updates checkpoints (1.5 001 -> 1.5 002, 2.5 0325 -> 2.5 0506 -> 2.5 0605) while OpenAI doesn't update them without ensuring that they're uniformly better and typically emails customers when they are updated.