Inkling 2 Small

The best open models today have been “good enough” to do most knowledge work for a few months. This might be the first US one good enough too. That’s a big deal.

Open weight US based Opus 5.5 within 12 months.

It's a nice, domestic open weight model.

Without hundreds of millions in 9 days a small team is producing a model that can beat DeepSeek 4.1 and a platform to tune it.

Optimistic for the future.

The most important thing here is training was entirely nvfp4 - this is best model by far that has ever been trained in that precision and explains why they were able to do it so fast

Very refreshing to see benchmarks where the reporting team is not the clear winner. They are claiming to be better than GLM 5.3 flash, which is impressive if it holds up outside of benchmarks.

Is it SOTA yet? No. Are the domestic open weights labs demonstrating incredible velocity? Undeniably.

I can’t seem to find the cost? The craziness of deepseek flash 1017 is how ridiculously cheap it is for how capable it is.

This is amazing! Can't wait to trying this out. Also, crazy that I found this on LinkedIn with more upvotes and discussion than the HN thread has.

I feel like this is a dumb question, but why are we spending any effort on wine comparisons? Is there a way to get rid of experts on these to just be ones for code?

Damn their last "Inkling Small" model was only 266B and now this is more than double.

I don’t like it. Poor form to squat on an old companies name like that, one which has a rich legacy in AI. I know the trademark was cancelled so all I can say is I don’t like it.

> Small: 594 billion parameters

cries in GPU racks

So basically comparable to DS4.1? But why bother to make something we already have?

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Damn, they finally named an AI model after Bill Gates' penis?