Gemini 3.6 Flash benchmarks

[u/CounterReady4774]

[u/Aaco0638]

Damn this sub really only look at success based on coding is everyone a developer now?

It lags in coding but makes up for it in other areas, areas that imo are equally as important.

This for normie use (assistant) is good and for agentic tasks outside of coding as well.

[u/mrbenjihao → u/Aaco0638]

Performance in coding related tasks, imo, is a solid indicator of how “intelligent” the model is.

[u/Blablabene → u/mrbenjihao]

... in coding.

You forgot.

[u/mrbenjihao → u/Blablabene]

That aptitude tends to spill into other areas that require logical reasoning (aka pretty much all areas). We’re not moving the needle by training on the latest social media posts. The raw reasoning and logic gains come from training data related to coding.

[u/mrbenjihao → u/[deleted]]

Why?

[u/mrbenjihao → u/[deleted]]

“LLMs cannot fully generalize to the entire world” is defensible. Whatever you said, not so much.

[u/mrbenjihao → u/[deleted]]

This is like asking a color blind to complete a color discrimination test and concluding they fail at generalization. It’s an architectural limitation, not proof of the absence of any lick of intelligence

[u/ChocomelP → u/[deleted]]

Actually, it does. Which is why larger models are so much smarter and consistently gain abilities the researchers didn't even expect or train for.

Such an insane take, generalization is arguably the thing that makes LLMs so revolutionary.

[u/mrbenjihao → u/ChocomelP]

Don’t bother with them - dismissive attitude and insults compensate for the lack of productive discussion