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Ask HN: How did Gemini go from being awful to incredible back to awful?
What happened?
Gemini 12 months ago was dead last the worst of all LLMS.
Then it streaked miles ahead of the others to be absolutely unbelievably good.
Then a month or so ago it turned back into being garbage. I waited for it to be fixed but it has remained bad.
I do not understand.
"Then a month or so ago it turned back into being garbage. I waited for it to be fixed but it has remained bad."
You have not provided any evidence for that or explained what you mean. Are you using a specific version of Gemini via a service, api, Gemini app? AI studio? etc? I have noticed zero issues.
But in the last month Gemini 3 flash was released, are you getting confused between models? (Although in my experience Gemini 3 flash is excellent)
The Gemini 3 series are far better than 2.5, which explains the first half
I haven't experienced any degradation myself, but many times people attribute this to companies running quantified versions of the model during peak demand
I haven't noticed it being awful again. Can you give examples?
Gemini has been fantastic for me the last month or so.
Quantizing To decrease cost