As models approach capability plateaus, the frontier is shifting to post-training: reinforcement learning, evaluation frameworks, and feedback systems that determine how models behave in the real world.

The next breakthroughs won’t come from scale alone, but from how we measure, reward, and shape intelligence.

Join us in Seattle for a closed-door conversation with leaders working at the frontier of evaluation, alignment, and reinforcement learning across industry and research.

Speakers:

Ameya Bhatawdekar - Field CTO, Braintrust
Kaylynn Gunter - Language Data Scientist, Amazon
Kavita Kamani - Group Product Manager of Copilot AI Platform and Responsible AI, Microsoft

Our past events have featured researchers from Google DeepMind, Cohere, LinkedIn, IBM, Stanford, and more. We’ll be announcing the full lineup soon.

Moderator:

Viviana Márquez — DevRel Engineer, Prolific

Together, we’ll explore what the next generation of evaluation and RL systems means for the future of AI—where models improve, where they fail, and how human feedback, reward modeling, and scalable evaluation pipelines will define the next era of intelligent systems.

Agenda:

5:00 – 6:00 — Arrival, networking, and refreshments
6:00 – 6:10 — Welcome and introductions
6:10 – 7:00 — Panel
7:00 – 8:30 — Networking

Attendance is limited and curated. Requests will be reviewed.

About the hosts:

Prolific powers high-quality human data for model evaluation and training. Learn more about Prolific.

AI Circle curates high-agency operators across research, startups, and enterprise. Learn more about AI Circle.

Limited capacity.
Apply to attend.

Frontier AI Evals with AI Circle and Prolific with Speakers from Amazon, Braintrust, and Microsoft