Hacker News new | past | comments | ask | show | jobs | submit
loading story #50392488
Jackobrien | parent | next
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.

loading story #50387235
loading story #50386940
loading story #50387556
loading story #50388260
loading story #50388002
loading story #50387780
epsteingpt | parent | next
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.

loading story #50387669
loading story #50387859
lifeisloving | parent
If you cant beat Deepseek on price im not using it. I actually dont care about beating DS in capabilities, I dont think you need more intelligence than Deepseek for 99% of the things people work on, and I dont want LLMs to do everything, that kind of defeats the point. I just need a smart fuzzer and to offload some tedious busy work.

So why should I pay for 3-20x more for a few small percentage points in preformance. (I would prefer DS did some things better, but largely I can force my desired behavior), but I could only have access to Deepseek 4.1 and still beat almost everyone using opus/fable/astra on a productivity basis, I need automation tools not "do my entire job so Im worthless tools", and DS has already more than gotten there for me.

itkovian_ | parent | next
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
loading story #50388669
a11r | parent | next
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.
tcdent | parent | next
Is it SOTA yet? No. Are the domestic open weights labs demonstrating incredible velocity? Undeniably.
loading story #50388096
loading story #50386595
syntaxing | parent | next
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.
loading story #50386807
loading story #50389848
alexandra_au | parent | next
Damn their last "Inkling Small" model was only 266B and now this is more than double.
ddxv | parent | next
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.
Neywiny | parent | next
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?
loading story #50387987
loading story #50387213
loading story #50387466
loading story #50389159
ygouzerh | parent | next
Interesting, I sent the same wine testing example to Claude Opus 5.5 medium, and it failed, where Inkling 2 Small succeed.
loading story #50393115
lostmsu | parent | next
> Small: 594 billion parameters

cries in GPU racks

loading story #50387035
loading story #50391704
loading story #50390029
loading story #50389629
loading story #50393016
singpolyma3 | parent | next
So basically comparable to DS4.1? But why bother to make something we already have?
loading story #50387116
jazzyjackson | parent | next
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.
loading story #50389355