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Gemini 2.5 Pro Preview

developers.googleblog.com

101–110 of 728 posts

Re: Gemini 2.5 Pro Preview

#101

My guess is that they've done a lot of tuning to improve diff based code editing. Gemini 2.5 is fantastic at agentic work, but it still is pretty rough around the edges in terms of generating perfectly matching diffs to edit code. It's probably one of the very few issues with the model. Luckily, aider tracks this. They measure the old gemini 2.5 generating proper diffs 92% of the time. I bet this goes up to ~95-98% h…

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Re: Gemini 2.5 Pro Preview

#105
Be careful, this model is worse than 03-25 in 10 of the 12 benchmarks (!)

I bet they kept training on coding, made everything worse on the way, and tried to hide it under the rug because of the sunk costs.

Re: Gemini 2.5 Pro Preview

#106
post #11

I don't know if I'm doing something wrong, but every time I ask gemini 2.5 for code it outputs SO MANY comments. An exaggerated amount of comments. Sections comments, step comments, block comments, inline comments, all the gang.

I usually remove the comments by hand. It's actually pretty helpful, it ensures I've reviewed every piece of code carefully, especially since most of the comments are literally just restating the next line, and "does this comment add any information?" is a really helpful question to make sure I understand the code.

Re: Gemini 2.5 Pro Preview

#108

Why can't they just use version numbers instead of this "new preview" stuff? E.g. call it Gemini Pro 2.5.1.

I take preview to mean the model may be retired on an accelerated timescale and replaced with a "real" model so it's dangerous to put into prod unless you are paying attention.

Re: Gemini 2.5 Pro Preview

#110
post #74

Interestingly, when compering benchmarks of Experimental 03-25 [1] and Experimental 05-06 [2] it seems the new version scores slightly lower in everything except on LiveCodeBench. [1] https://storage.googleapis.com/model-cards/documents/gemini-... [2] https://deepmind.google/technologies/gemini/

This should be the top comment. Cherry-picking is hurting this industry. I bet they kept training on coding tasks, made everything worse on the way, and tried to hide it under the rug because of the sunk costs.

Or because they realized that coding is what most of those LLMs are used for anyways?
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