MiniMax Intelligence in the Open

Intelligence in the Open: A MiniMax Research Night For our SF Tech Week edition, we’re bringing AI researchers, engineers, and founders together to explore a question: What happens when AI systems begin contributing to their own improvement? Hosted at UpScaleX, the evening will focus on recursive self-improvement and the research leading toward it: autonomous experimentation, post-training, synthetic data, verifiers, and self-improving agents. We’ll also discuss MiniMax’s PostTrainBench, where M3 ran cycles of data synthesis, training, evaluation, and iteration on pretrained models. Expect short research talks, an open discussion, food, and time to connect with speakers and other builders. Speakers: More To be announced. Yi Su — Member of Technical Staff, Research, Fireworks AI Yi works on specialized intelligence, model routing, and orchestration. He’ll discuss Fireworks’ Gen-1, trained on top of MiniMax-M3, and how the team used autonomous agents to design rewards and training recipes. Khannan S. — Principal ML Engineer, DigitalOcean Personalized Intelligence & why Evals are all you need Walk through how DigitalOcean enabled customers to set up their own continuous learning flywheel: structuring Evals as goals for Agentic optimization, how automated Evals can recursively help in the discovery of new Evals and finally how DO's managed infrastructure makes personalized intelligence more accessible. Shi Dong — Core Contributor, Miles · RadixArk / SGLang Title: Miles: RL at Scale Abstract: RL post-training has demonstrated remarkable successes. However, scaling RL remains challenging due to limited observability, long-term instability, complex coordination, and susceptibility to bugs. We present Miles, an RL framework designed to scale post-training to thousands of GPUs and trillion-parameter models while preserving robustness, reliability, and cost efficiency. Tyler Kenney — AI Performance Engineer, Modular Self-tuning ML Inference Systems LLM serving…

Are you the organiser? Get a private analytics link, and tell us if you are open to sponsors