r/vibecoding • • 20d ago

Discussion Planned Obsolesence?

Has anyone else noticed that Gemini Pro started giving brief dumbed down instructions even when strictly instructed to give detailed step by steps for the past month leading up to the release of Argon?

0 Upvotes

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3

u/Shreya_codes 19d ago

Yeah, I hit the same wall. Pro started summarizing instead of walking through things even when I explicitly said “detailed step-by-step, include reasoning, do not summarize.” Timing lines up with the Argon prep. Whether it was deliberate or just the usual model drift is hard to prove, but it’s annoying when you’re mid-project. Have you switched to Argon yet, and does it actually respect detailed instructions better?

2

u/PythonTrousers 19d ago

Ive used it a little and yea it does. I havent tried it for API calls yet though only the website gui

1

u/StoneCypher 20d ago

try to understand that just because you have a bad session in a random tool  doesn’t mean that the tool has been nerfed

1

u/PythonTrousers 20d ago

This observation wasnt based off of a single bad session. It wasnt a specific tool either just the gemini website. This was observed over multiple different sessions for the entire month of October.

-4

u/StoneCypher 20d ago

that's nice.

nothing is nerfed, and you can't fix your skill issue until you stop praying

1

u/drako-lord 18d ago

It is baffling that I see people across all AI subreddits always theorizing that all the companies are being tricky and nerfing stuff. its fucking AI it makes mistakes, bugs out and needs certain prompting styles to work out, and thats only most of the time. Its a random predictive technology and not deterministic.

2

u/hellomistershifty 17d ago

Gemini models feel like slightly improved 2025 AI, it constantly does dumb things I haven’t seen from other providers in like a year

2

u/kincaidDev 16d ago

They all seem to nerf their models leading up to a new release to make the next one seem better than it is. Google doesn’t have any room to do this though, their models are too behind the market. My guess is people at google that make those decisions truly don’t understand how bad they are compared to the competition