Kimi K3 weights are finally released!

source: https://x.com/Alibaba_Qwen/status/2084100707423289643

I wanted to share a quick update: Alibaba has officially announced Qwen 4 at the Apsara Conference,

From Chaofan Shou on 𝕏 (files): https://x.com/Fried_rice/status/2038894956459290963

The Open Letter was initiated by Microsoft and published today:

“Open Weights and American AI Leadership”.

It argues against broad or premature restrictions on open-weight models and explicitly says policymakers should distinguish legitimate model distillation from misappropriation.

Notably absent from the signatories are the major frontier-model labs: OpenAI, Anthropic, and Google.

The full quote:

I realize that some people really dislike AI, but this is an area where I'm willing to absolutely put my foot down as the top-level maintainer.
Linux is not one of those anti-AI projects, and if somebody has issues with that, they can do the open-source thing and fork it.
Or just walk away.
AI is a tool, just like other tools we use. And it's clearly a useful one.
It may not have been that "clearly" even just a year ago, but it's no longer in question today.
There are other questions around AI (like what the economy of it will actually look like in the end), but "is it useful" is no longer one of those questions. Anybody who doubts that clearly hasn't actually used it.
Yes, it can also be a somewhat painful tool, both for maintainer workloads and just from a "it keeps finding embarrassing bugs" standpoint.
But the solution is not to put your head in the sand and sing "La La La, I can't hear you" at the top of your voice like some people seem to do.
The solution is to make sure those LLM tools _help_ maintainers instead of just causing them pain. There's no question on that side.
We're not forcing anybody to use it, but I will very loudly ignore people who try to argue against other people from using it.
And no, AI isn't perfect. But Christ, anybody who points to the problems at AI had better be looking in the mirror and pointing at themselves at the same time.
Because it's not like natural intelligence is always all that great either.
The kernel project has been and will continue to be about the technology.
Sure, the social angle of working on open source is important and often a very motivating part of the project, but in the end that's a side benefit, not the _point_ of the project.
This is *NOT* some kind of "social warrior" project, never has been, and never will be.
In the kernel community we do open source because it results in better technology, not because of religious reasons.
And so we make decisions primarily based on technical merit. Not fear of new tools.

https://x.com/i/status/2086755195535413696

clem 🤗 on 𝕏: https://x.com/ClementDelangue/status/2081056675558195657

• Radical transparency: let’s release the traces from the “rogue” agents so the entire research community can study what happened.

• More capabilities for defenders: let’s commit $100M in compute from OAI to help the Hugging Face community build powerful cyber defenses with the best open and closed models.

The first autonomous agent cyberattack is an unprecedented event. It deserves an unprecedented response!

Confirmed by the official Qwen account.

Been almost a year since mass hysteria erupted upon the death of NVIDIAs GPU monopoly. How are your Huawei GPUs? Does CUDA work on them yet?

The earlier post on this subreddit by 20+ companies signing the petition including Microsoft, Meta, Nvidia, YC (https://www.microsoft.com/en-us/corporate-responsibility/topics/open-weight/) etc plus this https://xcancel.com/elonmusk/status/2080672505660834163

And the entire LLM enthusiast market is heavily in favor of open source (or weights) AI.

Does not seem like a few closed source AI lobbyists with be able to illegalize anything

From clem 🤗 on 𝕏: https://x.com/ClementDelangue/status/2080247567493837047

Official Announcement

https://z.ai/blog/glm-5.3

https://www.businessinsider.com/nvidia-in-talks-to-buy-hugging-face-13-billion-dollars-2026-8

Edit: The Information is reporting that the deal is done: Nvidia Agrees to Buy Open Source Model Repository Hugging Face For $12.9 Billion (paywall): https://www.theinformation.com/articles/nvidia-agrees-buy-open-source-model-repository-hugging-face-12-9-billion

Hey everyone,

Jovan from UkisAI here, a small lab building the tech to make tiny frontier LLMs possible (and doing it open-source!)

The purpose of this post is simply to thank the community for all the amazing finetunes, quantizations and overall improvements over our original release which made our model get attention and the support for us to continue building in this direction! If it weren't for you guys going out of the way to contribute we wouldn't have half the results of this.

For context:

Swift Qwen 3.8 27B is our first open-source model release. It is proof of how penalizing pathological overthinking patterns inside of small LLMs can bring their token usage down -58.3% and speed x1.95 without losing accuracy by not training them to think shorter directly but rather to think more efficiently.

We are continuing to build and are about to drop:

- Swift1.5 Qwen3.8 27B (an improved checkpoint of the model with some training bugs fixed and more RL)

- Swift Qwen3.8 Flash Next in the upcoming week week, we are now running the benchmark suite to not give out premature or incomplete results.

This time we ran even more benchmarks as you guys suggested, including more coding and long horizon!

It would be amazing if those of you who tried Swift would let us know what quants, features, changes you want to see in our upcoming model releases so we can do it better this time as we didn't even think about half of the stuff you guys were requesting last time :)

Let the era of non-slop finetunes begin!

EDIT: Links - https://huggingface.co/ukisai/Swift-Qwen3.8-27b https://huggingface.co/ukisai/Swift-Qwen3.8-27B-GGUF https://huggingface.co/bartowski/ukisai_Swift-Qwen3.8-27b-GGUF

From clem 🤗 on 𝕏: https://x.com/ClementDelangue/status/2079301434357456931

Fortune: Hugging Face says it resorted to a Chinese AI model to battle a fully autonomous cyberattack because U.S. model guardrails stymied its defense: https://fortune.com/2026/07/20/hugging-face-turns-to-chinese-open-source-ai-to-fend-off-autonomous-ai-cyber-attack-after-american-ai-guardrails-stymie-defense/