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RadixArk joins three SF Tech Week events on open-source AI and RL

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RadixArk is speaking at three SF Tech Week events this week on open-source AI, reinforcement learning, and AI infrastructure. Mao Cheng joins an October 7 panel with Novita Labs on the latest Miles post-training release, inference, and agent guardrails.

Shi Dong will share research on Miles and recursive self-improvement at an October 8 MiniMax event, and SGLang core contributor Yuwei An will speak at an October 8 AI infra meetup with SkyPilot and H Company.

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#SFTechWeek is here! We’re joining three events this week to talk open-source AI, reinforcement learning, and the infrastructure behind it. Here’s where to find RadixArk 👇

🗓️ Wednesday, Oct 7 — Open Source AI Stack with @novita_labs
Mao Cheng joins the panel to discuss the latest Miles release for post-training, what’s next for inference, and security measures and guardrails for agents.
RSVP: https://partiful.com/e/HO1kKdJWPPdm2c4xZNCk

🗓️ Thursday, Oct 8 — Intelligence in the Open with @MiniMax_AI
Catch Shi Dong sharing research on Miles and its connection to recursive self-improvement. Come talk RL, post-training, and what it takes to build AI systems that keep improving.
RSVP: https://partiful.com/e/DKY1zYjyuOvMf5RGzjAJ

🗓️ Thursday, Oct 8 — AI Infra Meetup with @skypilot_org × @hcompany_ai
SGLang core contributor Yuwei An joins the speaker lineup for an evening on training, serving, and scaling AI models.
Join the waitlist: https://luma.com/3iobavjj

Building in this space? Come say hi! We’d love to hear what you’re working on.

Source: RadixArk · x.comPublished · added here