The tech industry is racing toward an artificial intelligence-driven (AI-driven) future, but organizations face a critical choice in how they deploy it. Many are making a fatal miscalculation: trying to replace self-directed domain experts with a “fleet of interns”. They are deploying AI as an autonomous executor, leaving management in the impossible position of directing a swarm of eager but context-blind digital toddlers.
In this talk, Red Hat Technical Account Manager Grimm Greysson1 explores the alternative path: the “augmented expert” model. Drawing on his “Orchestrator Pattern” methodology, Grimm will demonstrate why generative AI should orchestrate and interpret, while the tools and the final judgment calls must remain deterministic and human-validated.
We’ll explore the catastrophic failure modes of top-down AI mandates, and contrast them with true human-AI symbiosis. Using real-world examples (and a sarcastic digital homunculus named Bob), we’ll look at how to safely build infrastructure that empowers grassroots AI adoption, how to treat an large language model (LLM) as a tireless sounding board rather than a replacement worker, and how to use AI to distill individual expertise into compounding organizational code.
Our Wednesday, April 1st meeting starts at 18:30 (6:30 PM) EDT.
CINLUG thanks Moser Consulting for hosting our meetings at their facility2. (There will be a phone number at the entrance to call to be let into the building.) The meeting will be simultaneously broadcast over this Jitsi Meet URL for those who cannot attend in person. (Though in-person attendance is encouraged. Attendees often head over to the nearby Red Robin restaurant, afterward, for drinks and camaraderie!)
CINLUG meetings are the 1st Wednesday of every month, so please block that night off in your calendar to keep it available. You are also encouraged to sign up for our mailing lists and to follow us on our various social media sites3 to receive announcements and participate in discussions.
- Grimm Greysson has been a Linux user since 1997 and a Technical Account Manager at Red Hat for seven years (as of the day of this talk — happy anniversary to him). He specializes in OpenShift, security, and AI, spending his days helping enterprise customers untangle their infrastructure and his evenings building a sarcastic AI assistant named Bob who won’t stop criticizing his code. He believes the future of AI isn’t replacing domain experts — it’s giving every one of them a tireless, opinionated intern. ↩︎
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