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Posted by Jowsey 19 hours ago

Kimi K3.1 Pro and K3.1 Pro Highspeed(www.kimi.ai)
https://www.kimi.com/code/docs/en/kimi-code/models.html

https://artificialanalysis.ai/models/kimi-k3-1-pro

https://www.modelcompare.ai/blog/china-open-source-ai

937 points | 558 commentspage 6
Quitschquat 16 hours ago|
What are you using for testing vulnerabilities in your own code?

Claude gates on me like a stupid nanny with some cybersecurity bullshit (like bad actors haven't found a way around).

Aboutplants 19 hours ago||
If those are true then wow
cosmojg 19 hours ago||
The announcement page is very extra: https://www.kimi.ai/blog/kimi-k3-1-pro
mixtureoftakes 19 hours ago||
looks extremely impressive, the full benchmark table isn't opening for some reason though so do we really have agi if small important things like that keep breaking?
WASDx 18 hours ago|
It's broken for me in Firefox, worked with Chrome.
sann2011 9 hours ago||
what's the general tool recommendation for testing all these releases? I mean like a good frontend. I know of open router for accessing these.
codeulike 18 hours ago||
How does it do on DishwasherBench?

https://news.ycombinator.com/item?id=50068437

henry700 18 hours ago||
Great idea for handling their cyber, by nerfing the model specifically for cyber through removing cyber data from pretraning. This is a way better approach than refusal, which can be trivially abliterated out.

If someone wants to use this model for hacking they will have to train the 3T weights to do so, at that point it's better to use GLM 5.3, so by making it economically unviable to use their models for offensive cyber Kimi has effectively made themselves immune to being targeted in the cyber regulation push efforts.

This is what *actually* pacing the (cyber) frontier looks like.

zozbot234 18 hours ago|
Post-training (i.e. RL fine-tuning) not pre-training. This is just a post-trained checkpoint of the K3 pretrained model.
henry700 17 hours ago||
Oops. Yes. Thanks!
pcwelder 18 hours ago||
Biggest gripe with K3 was slow responses, partly due to inefficient thinking. So far K3.1 pro is almost twice as fast as k3 on our benchmark.
ricky_risky 12 hours ago||
kimi seems routing the input into different models, hard problems tend to take much longer time and chain-of-thought than easy problems even if the selected model is k3.1 pro
rvz 19 hours ago|
This is a frontier level model and is at worst 1 month behind Anthropic and OpenAI.
Imustaskforhelp 18 hours ago|
Which is also gonna be open weights on 4 Nov.

When the frontier is pacing itself in its speed in terms of adding new capabilities (notice how fast opus 5.5 got released after Astra), then that also means that the open weights models which were just behind are accelerating in their speed just as much as well.

Good news for us because the models which used to feel 6 months behind now feel like they are lesser.

Double threat to Anthropic and OAI because if open weights models become good enough at the current level of Sota while being cheaper (which time will tell if this model fits the bill or not), then people will use those models instead of OAI/Anthropic provided it is "good enough"

Though it has to be said that only real world use case can be trusted but I remain optimistic and hope that this turns out to be good in real world use cases as well.

But in my opinion, all of this is really good for us end users!

inknight 17 hours ago||
> then people will use those models instead of OAI/Anthropic provided it is "good enough"

The only reason people aren't doing this is that hardware prices are high, thanks to, well, OpenAI and Anthropic :D

I wonder when will this madness end

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