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Analyzing student votes across AI models for college essay help

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Re: Analyzing student votes across AI models for college essay help

#23

Post by zorked »

John7878781 wrote: post #9

In my experience, Gemini excels at explaining new concepts clearly and intuitively. Much more so than other models.

Gemini is the best general-purpose model. We hear a lot about the other ones here because we are focusing on coding.

Re: Analyzing student votes across AI models for college essay help

#24

Post by inbx0 »

John7878781 wrote: post #9

In my experience, Gemini excels at explaining new concepts clearly and intuitively. Much more so than other models.

So, given that developers these days mix and match models anyway with harnesses like Pi, has anyone tried letting Claude or GPT do the coding, and Gemini do the comments and documentation? Maybe even asking it to "translate" Claude's output messages to better human language for the developer or subagents?

Re: Analyzing student votes across AI models for college essay help

#25

Post by pmontra »

StableAlkyne wrote: post #10
gherkinnn wrote: post #3

Anything is better than the current crop of Claudes, its prose has become painful.

For real, the "Claudish" has become so painful to read that it just takes me out of whatever task I was working on. When prompted to use simple English without jargon, it's still filled with load bearing honest caveats in every footgun seam it talks about — what I should have led with. And I'm not the only one to notice this. Next time it's up for renewal, my team is abandoning it for GH Copilot in order to use liter…

Yes, Claude speaks Claudish but at the end of the day I care about the Ruby, Python, JS it writes. It still does a good job at it even if maybe I prefer the way DeepSeek talks. I did not use other models in an agentic harness.

Re: Analyzing student votes across AI models for college essay help

#26

Post by gexla »

GPT gets the most out there, but creates interesting nuance that turn an idea into a more creative exercise. Claude is like a more grounded GPT but may miss the nuance. Gemini is my last pick, but does better than the rest for making something clear and understandable. It gets to be exhausting parsing through Claude outputs and breaking it down into something more easily understandable. One way I use to improve this is to ask the LLM to pull upstream ideas from prior work on the topics. This makes me feel better about the possibility of hallucination, gives me alternate places to look, but the model still may pull things out of context or fall over on the interpretation.

Given all that, I can definitely see how Gemini would be preferred. And good for Google, because I would rather my offering be the top choice for the most people rather than better serving a small subset of users.

Re: Analyzing student votes across AI models for college essay help

#28

Post by pkulak »

inbx0 wrote: post #24
John7878781 wrote: post #9

In my experience, Gemini excels at explaining new concepts clearly and intuitively. Much more so than other models.

So, given that developers these days mix and match models anyway with harnesses like Pi, has anyone tried letting Claude or GPT do the coding, and Gemini do the comments and documentation? Maybe even asking it to "translate" Claude's output messages to better human language for the developer or subagents?

Seems reasonable. You could just switch the model after the code is written, when you need to ask questions. You’ll lose your token cache, but that’s it.
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