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Alignment Meetup - Conversation/Ideas/Readings/Learnings

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About this event

What to expect

Dive deep into AI alignment research with Seattle's leading community exploring how we build safe, beneficial artificial intelligence. This hybrid meetup brings together researchers, engineers, and AI enthusiasts to discuss cutting-edge papers and share insights on one of the most critical challenges in modern AI development.

This session focuses on a groundbreaking paper from Anthropic examining how emotion concepts function within large language models. The discussion explores how AI systems process and represent human emotions, a crucial aspect of building aligned AI that understands human values and responds appropriately in real-world contexts. Understanding emotional representation in LLMs has significant implications for AI safety, human-AI interaction, and ensuring AI systems behave in ways that align with human expectations.

What to Expect

The meetup follows a structured format designed to maximize learning and meaningful discussion:

  • Networking and introductions with fellow AI safety researchers and practitioners
  • Paper reading and collaborative discussion of Anthropic's research on emotion concepts in large language models
  • Interactive Q&A exploring the implications of emotional representation in AI systems
  • Community knowledge sharing where participants exchange ideas, readings, and learnings from their own work

Who Should Attend

This meetup welcomes anyone interested in AI alignment, safety research, and the technical challenges of building beneficial AI systems. Whether you're a machine learning engineer working with LLMs, a researcher exploring AI safety, or simply curious about how we ensure AI systems remain aligned with human values, you'll find thoughtful discussion and a supportive community.

Format

Attend either in-person at Amazon's Doppler building in downtown Seattle or join remotely via Zoom. The hybrid format ensures accessibility while maintaining the depth of technical discussion. In-person attendees benefit from face-to-face networking, while remote participants engage fully in the paper discussion and Q&A.

The Alignment Meetup community meets regularly to explore papers, share research, and build collective understanding of AI safety challenges. Each session tackles different aspects of alignment—from interpretability and oversight to value learning and robustness.

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