AI Paper Reading Club – June 2026

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AI Paper Reading Club – Monthly Meetup

Join us for our monthly AI Paper Reading Club, a relaxed and welcoming space for anyone curious about Artificial Intelligence. Whether you’re here for deep dives into the math behind the models or prefer to focus on the practical impact of applied research, this event has something for you.

Each session features a volunteer presenter who picks a recent or classic paper to unpack, ranging from rigorous theoretical work to industry-shaping applications.

Bring your questions, your insights, or just your curiosity. There’s no pressure to present, and all backgrounds are welcome.

We believe in learning together, at our own pace, no ego, just AI enthusiasts helping each other grow.

Paper Title: “A Path Towards Autonomous Machine Intelligence – Version 0.9.2, 2022-06-27”
Paper Link: https://openreview.net/pdf?id=BZ5a1r-kVsf
Presenter: Michael Kingston

Abstract: “How could machines learn as efficiently as humans and animals? How could machines learn to reason and plan? How could machines learn representations of percepts and action plans at multiple levels of abstraction, enabling them to reason, predict, and plan at multiple time horizons? This position paper proposes an architecture and training paradigms with which to construct autonomous intelligent agents. It combines concepts such as configurable predictive world model, behavior driven through intrinsic motivation, and hierarchical joint embedding architectures trained with self-supervised learning.”

We thank Emanate for generously sponsoring refreshments for this event and The Precinct for the venue. The companies support makes it possible for us to bring the AI community together, share knowledge, and grow as a collective.