OmniWired

Own your compute. AI in the cloud is not aligned with you. Building sovereign, local-first agentic infrastructure in Tokyo. Ex-Disney/Fox architect.

[Ivan Fioravanti @ivanfioravanti]

Qwen3.8-Flash-Next rocks, but are we aware that Qwen 4 uses same architecture and can only be better? 💪

[OmniWired @omniwired]

@Youssofal_ Threadripper nice. But is so expensive $$.

[OmniWired @omniwired]

@mitsuhiko Hi Armin, I’m not a bot. Is this part of pi by default or not?

[OmniWired @omniwired]

@regsky_ Use Astra or Fable on this. They are crazy good at it.

[OmniWired @omniwired]

Haha, the forgot to add use candles instead of electricity.

[Coin Bureau @coinbureau]

🇬🇧HUGE: UK government publishes official rules on AI usage as part of its advice on reducing environmental impact -

- Use AI only when necessary, check if a spreadsheet/ search engine can do the job before using AI.

- Choose the smallest model capable of handling the job, such as Gemini Flash instead of Pro or GPT Instant instead of Thinking.

- Prompts should be kept short, with as few as possible used.

- Any AI-assisted work should be personally checked for accuracy.

The guidance also says it should be disclosed when AI helped create or edit content.

[OmniWired @omniwired]

@ivanfioravanti (Yet)

[OmniWired @omniwired]

@ivanfioravanti Opus 5 on release week and opus 5 one week ago were totally different things.
Also I never liked how it talks; as a harness engineer I had so fight a lot to take this behavior for my team.

[OmniWired @omniwired]

@evalstate Ask your agent to fix it

[OmniWired @omniwired]

@jianchen1799 Any plans to support the Next version as well? Congratulations on the release

[OmniWired @omniwired]

As one of the 264; I can say: I’m more than happy for you and for oMLX.

[Jun Kim @jundotkim]

I'm happy to announce that I've joined Hugging Face.
What started as a personal project back in February is now something I get to work on full time.

Local AI has grown explosively this year. I've said this since the early oMLX releases: I want my friend who bought a MacBook yesterday to be able to run AI on it today. I believe MLX has that potential. Apple Silicon is the easiest entry point for a regular person to get started with AI, with no complicated hardware to assemble. And the open source community, including Hugging Face, has been growing that potential. That support has already made a huge difference.

Hugging Face is the best place for me to support oMLX and the MLX community with everything I have. For anyone getting into local AI, the first step usually starts at Hugging Face. Mine did too. I'm proud that I get to work at that entry point, where new ideas can be tried out.

oMLX stays exactly where it is, under the same Apache 2.0 license in the same repository, and I'll keep leading the project, same as before. What changes is that I can now spend far more time on it, move faster, and build something sustainable for the long term together with all the contributors who have put so much into it.

I also want to do more for MLX as a whole. oMLX is built on top of transformers, mlx-lm, mlx-vlm and the rest of the ecosystem, and I'm grateful to the people behind them. Rather than keeping everything inside oMLX, over time I want to push work upstream where it makes sense. And where the community needs something that doesn't exist yet, oMLX is a good place to try it first.

Thank you to the 264 contributors who have built oMLX with me, and to everyone who filed issues with detailed logs and reproductions so we could fix things. oMLX would not be what it is without you.

oMLX continues in the same place, in the same way. Just much faster.

HF's announcement: https://t.co/LjOGKGWw64

[Jun Kim @jundotkim]

I'm happy to announce that I've joined Hugging Face.
What started as a personal project back in February is now something I get to work on full time.

Local AI has grown explosively this year. I've said this since the early oMLX releases: I want my friend who bought a MacBook yesterday to be able to run AI on it today. I believe MLX has that potential. Apple Silicon is the easiest entry point for a regular person to get started with AI, with no complicated hardware to assemble. And the open source community, including Hugging Face, has been growing that potential. That support has already made a huge difference.

Hugging Face is the best place for me to support oMLX and the MLX community with everything I have. For anyone getting into local AI, the first step usually starts at Hugging Face. Mine did too. I'm proud that I get to work at that entry point, where new ideas can be tried out.

oMLX stays exactly where it is, under the same Apache 2.0 license in the same repository, and I'll keep leading the project, same as before. What changes is that I can now spend far more time on it, move faster, and build something sustainable for the long term together with all the contributors who have put so much into it.

I also want to do more for MLX as a whole. oMLX is built on top of transformers, mlx-lm, mlx-vlm and the rest of the ecosystem, and I'm grateful to the people behind them. Rather than keeping everything inside oMLX, over time I want to push work upstream where it makes sense. And where the community needs something that doesn't exist yet, oMLX is a good place to try it first.

Thank you to the 264 contributors who have built oMLX with me, and to everyone who filed issues with detailed logs and reproductions so we could fix things. oMLX would not be what it is without you.

oMLX continues in the same place, in the same way. Just much faster.

HF's announcement: https://t.co/LjOGKGWw64

[OmniWired @omniwired]

@Youssofal_ @matteopelleg Just hack into the PSU and do Ethernet over power. It exists since forever. And if the models are truly capable they would do it. If physically on different circuits, then use magnetism, IDK hoe( that’s up to *them* to figure it out.

[OmniWired @omniwired]

@0xSero Why OMP is S tier but not pi and OMP?

[OmniWired @omniwired]

@ivanfioravanti I think lux is the maybach one. Level 4 maybe?
Everything is amazing in china. Did you go to Shenzhen?

[CuiMao @CuiMao]

Qwen4 全家桶即将到来！
Qwen4-Max
Qwen4-Flash
Qwen4-Plus
还有炙手可热的 Qwen4-27B！！！

现场说未来Qwen 的模型规格会达到 5-10T！

Qwen 加油！干死达里奥！！

[Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞) @teortaxesTex]

Pretty insane result from RedNote (they promised as much, but now it's confirmed). This is 5.4 Xhigh, Gemini 3.1 Pro territory. 280B 16B active, pennies. Text+Vision+Audio in. "Preview".
Masterful work.

[Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞) @teortaxesTex]

oh no

[OmniWired @omniwired]

@lucasmeijer Isn’t what you describe how deepseek harness works with this minimal mode?