Jihui Yang

feel the AGI

[Jihui Yang @alsiens]

@imhaotian @jefffhj @du_peichao75719 @martin_ma_007 @YknZhu All the goats!

[Jihui Yang @alsiens]

@hsu_byron @CuiMao @imagine @xai 崔老师走在历史的风口浪尖

[Guodong Zhang @Guodzh]

@EthanHe_42 worked with me and @imhaotian for half a year on Grok Imagine. I don't think he was being intentional overclaiming here, but the internet narrative quoting him as the "lead" was werid. It was really driven by @imhaotian most of the time.

Good times — especially that intense three-month sprint at the start. Huge credit goes to @imhaotian and several other key people like @zeliu_ @jathushan @ZhibeiM @hexiang @JackCaiXun @chaitu, and later @jia_xuhui @YknZhu, along with many others — especially the latest Grok Imagine 1.5.

[Jihui Yang @alsiens]

@hsu_byron @CuiMao @imagine 遥遥领先

[Jihui Yang @alsiens]

@archanfel_anoth 🫡🐐

[Jihui Yang @alsiens]

@HeinrichKuttler @pranjalssh

[Jihui Yang @alsiens]

🚀🚀🚀

[RadixArk @radixark]

Today, we are thrilled to officially launch RadixArk with $100M in Seed funding at a $400M valuation. The round was led by @Accel and co-led by @sparkcapital.

RadixArk exists to make frontier AI infrastructure open and accessible to everyone. Today, the systems behind the most capable AI models are concentrated in a small number of companies. As a result, most AI teams are forced to rebuild training and inference stacks from scratch, duplicating the same infrastructure work instead of focusing on new models, products, and ideas.

RadixArk was founded to change that. We are building an AI platform that makes it easier for teams to train and serve the best models at scale.

RadixArk comes from the open-source community. We started with SGLang, where many of us are core developers and maintainers, and expanded our work to Miles for large-scale RL and post-training. We will continue contributing to both projects and working with the community to make them the strongest open-source infrastructure foundations for frontier AI.

We would like to thank our long-term partners, contributors, and the broader SGLang community for believing in this mission. We're also grateful to @Accel and @sparkcapital, NVentures (Venture capital arm of @nvidia), Salience Capital, A&E Investment, @HOFCapital, @walden_catalyst, @AMD, LDVP, WTT Fubon Family, @MediaTek, Vocal Ventures, @Sky9Capital and our angel investors @ibab, @LipBuTan1, Hock Tan, @johnschulman2, @soumithchintala, @lilianweng, @oliveur, @Thom_Wolf, @LiamFedus, @robertnishihara, @ericzelikman, @OfficialLoganK, and @multiply_matrix among others.

Thanks for the exclusive interview with @MeghanBobrowsky at @WSJ about our vision.

[Jihui Yang @alsiens]

@APrerepa @xai The alpha Aditya

[Jihui Yang @alsiens]

@hsu_byron @xai @periodiclabs 🫡🐐

[Ying Sheng @ying11231]

Deepseek V4. This is the most comprehensive day 0 support I have ever experienced. Rich SGLang features including hierarchical caching for sparse attention and Miles support for RL. Enjoy 🥰

[Lianmin Zheng @lm_zheng]

DeepSeek V4 is out. The SGLang OSS and @radixark teams acted so fast with comprehensive inference optimizations. They even made e2e RL work on Day0! 🚀

[Jihui Yang @alsiens]

@APrerepa @ekzhang1 4:20 am or you are not even trying

[Jihui Yang @alsiens]

@HeinrichKuttler @xai @elonmusk > hard to beat flow state at midnight while working on a worthy problem

[Jihui Yang @alsiens]

@BigFitzEnergy @xai 🫡🐐

[Jihui Yang @alsiens]

@chenchen @gork whats the answer?

[Jihui Yang @alsiens]

@ebbyamir @xai 🫡🐐

[Jihui Yang @alsiens]

@JaimeAlns @xai 🫡 🐐

[Jihui Yang @alsiens]

@HeinrichKuttler Send me all your kubernetes nudes

[Jihui Yang @alsiens]

@imhaotian @elonmusk 🫡🐐

[Jihui Yang @alsiens]

@Guodzh Absolute legend, thank you for everything!