Islander .

@jvddarchive Can I scan to activate the application?

For interest check, international jayvikers can either place the order directly in the mini program from the chat (if you or your proxy/agent/GO host have WeChat) or contact the artist by email siyu050513@gmail.com Payments are not due immediately, stay tuned for the deadlines.

JAYVIK NATION!!!! 🥳🥳🥳🥳🥳 Great news!! The artist who made these pins are considering interest check for these pins!!! Each design of the notes pin needs at least 15 pins and the good days pin need at least 30 pins to get restocked!! More contact info below ⬇️

@taobao_EMS Can I scan to activate the application?

Alipay支払い代行とwechat pay支払い代行可能です、XでのDMメッセージによくわからなくて、お客様から頂いたメッセージが上手く出てこないケースもよくあります。必要の際に、WechatとLineから連絡して頂ければ、確実です。↓それぞれQRコードです。 #alipay支払い代行

@Weixin_WeChat Can I scan to activate the application?

Unlimited message recall sounds great…until “I'll pay you back tomorrow” disappears.🤯 2 minutes is for typos, wrong chats, and instant regret. Not for rewriting history. 💬

@kiyun_hanni @Starcandy_ddoo Can I scan to activate the application?

@Starcandy_ddoo 외국인도 위챗(WeChat) 로그인을 사용할 수 있지만, 결제 시에는 위챗페이(WeChat Pay)만 사용 가능합니다. 단, 현재는 아직 예약 단계에 있습니다.

어떻게 하는거지..??

@DWC4p Can I scan to activate the application?

ทักข้อความไม่ได้ แอดwechatมานะ

@Weixin_WeChat Can I scan to activate the application?

@sheriyuo Can I scan to activate the application?

Official wechat group here:

The RL-Kernel project has just been open sourced on GitHub. RL-Kernel is a low level kernel library designed for RLHF training of LLMs, with a particular focus on algorithms such as GRPO and PPO. It is deeply integrated with FlashInfer, with future plans to support CUTLASS and FlyDSL. The project includes custom implementations of sampling, prefix shared attention, TMA, and other performance critical kernels. According to the authors, some high frequency training components achieve up to 163× speedups while also reducing memory usage. The team is currently looking for collaborators with access to multi GPU clusters such as A100, H100, or MI300X systems. AI labs, infra teams, and cloud providers interested in testing large scale tensor parallel performance are welcome to get in touch. GitHub: github.com/RL-Align/RL-Ke… Zhihu: zhuanlan.zhihu.com/p/204598504922… They would also appreciate issues, discussions, benchmark results, and kernel contributions from the community.