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Summary
An annual live course, "AI IRL: How to Live Without It," is scheduled to begin its first session on February 21st, 2026, at 1:00 p.m. Eastern time. This year's course focuses on individuals experiencing stress related to AI, covering concerns like deepfakes, advanced generative AI video models such as ByteDance's offering, and AI's environmental impact. It also addresses the tension felt by those who find AI useful for tasks like coding assistance or productivity, often due to workplace mandates. The course will build on previous topics but shift towards the practical human aspects of navigating the AI landscape, emphasizing community building through real-life discussions and an online group chat. Enrollment is capped at 20 participants to facilitate small group conversations, with financial aid available via a sliding scale.
Key takeaway
For professionals navigating the dual pressures of AI's societal impact and its integration into daily work, consider enrolling in the "AI IRL" course. It offers a structured environment to process AI-related stress and build practical literacy through community engagement, rather than just technical instruction. Given the limited 20-person cap, securing your spot early is advisable, and financial aid options are available if cost is a concern.
Key insights
The "AI IRL" course addresses AI-related stress by fostering community and practical human adaptation.
Principles
- AI literacy requires ongoing engagement.
- Community support mitigates AI-related stress.
Method
The course integrates online discussions with real-life community building activities, capped at 20 participants to ensure intimate, conversational learning without formal presentations.
In practice
- Discuss AI's impact with real-life contacts.
- Join small, focused online learning communities.
Topics
- AI Literacy
- Generative AI
- AI Societal Impact
- Community Learning
Best for: Software Engineer, Product Manager, General Interest
Related on AIssential
Editorial summary, takeaway, and curation by AIssential. Original article published by Jordan Harrod.