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Posted by Philpax 1 day ago

Inkling 2 Small(thinkingmachines.ai)
287 points | 92 commentspage 2
cauliflower99 1 day ago|
As someone who knows nothing about wine except I like drinking it - that wine test is fascinating.
imimayj1337 1 day ago|
I think the wine test was actually the part which blew me away the most. And they say it outperformed humans (albeit don't know if they were wine 'experts') on 19/20 tests?! Crazy work
gigaritee 15 hours ago||
How well does it do in reverse engineering and offensive cyber security benchmarks? Does it allow me to root my Samsung tablet that Samsung decided to stop patching?
Neywiny 1 day ago||
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?
randomblock1 1 day ago||
It's not like they're training on that. That's just a good showcase of how the model is good at generalizing & understanding (not benchmaxxed). You might want something similar to these experts for tasks like detecting anomalies or discoloration or whatever.
Neywiny 1 day ago||
Source they didn't train on it?
kccqzy 1 day ago|||
What if your coding project is related to wine? So you would want facts about wine to be inside the weights, not through web search.
Neywiny 1 day ago||
If it was about wine, why would I want one with a training data cutoff? I'd much rather have one that can query a database about wine
XenophileJKO 1 day ago|||
Just looking through the benchmarks, the model seems to be very high on visual/spatial capabilities. So I assumed they just tried some hard tasks on it and was surprised by wine identification and thought it was surprising that it could identify wines.
zild3d 1 day ago||
you want your coding models to have good taste, so we have fed them a vast dataset of sommelier wine gradings.

we've also contracted hundreds of local record store guys with deeply knowledgeable music taste spanning post-punk, classic jazz, early hip-hop, and deep-cut experimental vinyl. This has resulted in the model returning judgmental responses up to 23% more often which we are working on addressing.

rocha_lucas 1 day ago||
I couldn't pay attention on the content, i was playing with dots
Tade0 1 day ago||
> We even tested Inkling 2 Small against some of our researchers in a wine tasting event. It outperformed them using vision alone, correctly identifying three wines from a single picture in 19 out of 20 trials.

So the legendary skill of Charles Duchemin is now widely available? What a time to be alive.

lostmsu 1 day ago||
> Small: 594 billion parameters

cries in GPU racks

colingauvin 1 day ago|
You could probably run a Q2-Q3 with 2x DGX Sparks. So...$12k at today's prices. Plenty of folks are running DS 4.1 Flash with Strata and some GPU + bulk in system memory. Maybe more like $3k-$4k? But speeds come down quite a bit.
lupodevelop 1 day ago|||
[flagged]
joshspankit 1 day ago|||
Q2. Woof.
colingauvin 1 day ago||
It actually benchmarks quite well. Honestly not practically worse than the Q4 native weights.
maelito 1 day ago||
Looks better than mistral 4 on all benchmarks ?
segmondy 1 day ago|
Mistral 4 IMHO is not that good. I have run the full NVFP4 weight, and I couldn't stomach it after 3 days of driving it. I went back to other models, I have more fun bouncing between DeepSeek, GLM, MiMo, Hy4, MiniMax & Qwen. If Thinkingmachine's self reported benchmark is true, I'm certain it's going to get into heavy rotation of my models.
cvwright 1 day ago||
I played around with Le Chonk on a toy project and it was ... very okay. Felt like a throwback to the Opus 4 era. It committed when I had told it not to, and it spent a lot of time arguing with itself going in circles.

I feel like the gap between Opus and Grok is about the same as the gap between Grok and Mistral. I didn't revert its code or anything, but I also didn't refill the initial OpenRouter budget when it ran out.

At the same time, I guess Opus 4 level is pretty good for a Western open weights model. 2027 is going to be amazing.

ygouzerh 1 day ago||
Interesting, I sent the same wine testing example to Claude Opus 5.5 medium, and it failed, where Inkling 2 Small succeed.
singpolyma3 1 day ago||
So basically comparable to DS4.1? But why bother to make something we already have?
segmondy 1 day ago||
Even when models score about the same, if you play with them long enough, you will discover capabilities that are unique to them. I have never see any 2 models that are comparable across every single area.
multisport 1 day ago|||
Because its american.
singpolyma3 1 day ago||
lol
reasonableklout 1 day ago||
Sovereign open source AI is a real thing, lots of companies want to own their own intelligence but also don't trust the models coming out of China.
singpolyma3 1 day ago||
Why would you trust anything coming out of USA?
ukblewis 1 day ago|||
Why would you trust China on anything?

https://www.hirundo.io/blog/glm-revolut

estearum 1 day ago||||
The vast majority of users on this website wouldn't be trusting something coming out of the USA, they'd be trusting something in the USA.
nozzlegear 1 day ago|||
Do you mean to ask why non-American companies would trust anything coming out of the USA? Because American companies tend to have a lot of trust for other American companies.
nullbio 1 day ago||
I would hope that the American models aren't benchmaxxed to hell like all of the Chinese ones are.
wasfgwp 1 day ago||
Why?
AnthonyR 1 day ago|
I like the presentation on their website! Super well done
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