RL & data meetup: SkyRL x Mercor x Harbor
Hosted by Anyscale + Julian Forero + Colette Tay + Harbor Framework + Charlie Ruan + Richard Liaw
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What to look forward to
Practitioners will explore post-training at scale, including Mercor’s RL work with SkyRL, new SkyRL capabilities, and Harbor’s open infrastructure for agent evaluation and optimization. Speakers will include Mercor research team member Tianhua Tao, Anyscale engineers and SkyRL contributors, and Alex Shaw, Harbor co-creator and Terminal-Bench co-creator.
Inside the event
Post-training is becoming a critical workload for data providers. As data and environment supply increases, it is increasingly important to validate and show the quality of the data, which means vendors are training their own models: orchestrating evals, rollouts, sandboxes, and training and inference workloads all at once.
We're excited to gather practitioners in the community together to share best practices and hear how Mercor is running RL at scale with SkyRL; how Harbor is providing the open standard for evaluation and optimization; and how SkyRL is pushing the frontier on enabling large scale post-training for all
Agenda:
5:30 PM – Doors open, food, and networking
6:00 PM – SkyRL at Mercor (Tianhua Tao ,MTS at Mercor, Research Team)
6:20 PM – What’s new in SkyRL: 1M-context training, TITO proxy, Ray Sandboxes & more (Avi Basnet, Software Engineer, Anyscale, Charlie Ruan, SkyRL Core contributor and Xinyu Zhang, Software Engineer, Anyscale)
6:40 PM – Software Engineering Became Machine Learning (Alex Shaw, co-creator Harbor and Terminal-Bench)
7:00 PM – Open networking + happy hour
8:30 PM – Event Ends
Hosted by:
Anyscale, the company behind the Ray open source project, is a fully managed AI platform for foundation model-scale workloads. AI teams use it to run data, training, inference, and RL workloads at scale on any cloud.
Harbor builds open-source infrastructure for specifying sandboxed agent tasks for evaluation and optimization, from the makers of Terminal-Bench.
UC Berkeley Sky Computing Lab is the latest in Berkeley EECS’s series of five-year collaborative research labs, working on AI and systems.
Mercor is the AI data company for building AI systems with human intelligence. Its network of more than five million experts helps frontier AI labs, big tech, AI startups, and Fortune 500 companies train, evaluate, and measure AI on real professional work. Founded in 2023 and headquartered in San Francisco, Mercor is backed by Benchmark, Felicis, General Catalyst, and Menlo Ventures.
San Francisco, CA
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Last checked: Nov 5, 2026. Confirm current availability before making plans.
Organizer page checked: Nov 5, 2026. Check registration for the latest details.