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UID:pretalx-devconf-us-2026-HMDMBR@pretalx.devconf.info
DTSTART;TZID=EST:20260924T142000
DTEND;TZID=EST:20260924T143500
DESCRIPTION:As we enter a post-LLM world\, we face a critical trade-off: th
 e immediate Efficiency of AI versus the long-term cultivation of human Exp
 ertise. While LLMs can execute hours of human labor in minutes\, the "expe
 rtise" an AI builds is fleeting\, as it persists only as long as its conte
 xt window. In contrast\, human labor produces a trove of expertise: insigh
 ts\, foresight\, and contextual understanding that span a career. When we 
 offload cognition to AI\, we risk losing the very ingenuity required to in
 novate beyond the training data.\nWhile LLMs are a powerful tool\, their u
 se carries risks and trade-offs that must be managed. In this talk\, we id
 entify three key elements for balancing this trade-off:\n* Intention: Choo
 sing when and how to use AI by understanding the cost of personal expertis
 e loss.\n* Innovation: Combating LLM-induced stagnation caused by a data-d
 riven regression to the mean.\n* Integrity: Maintaining honesty and trust 
 when claiming ownership of AI-generated work.\n\nDrawing on academic resea
 rch and real-world industry examples we highlight that while LLMs can mimi
 c the results of expertise\, they struggle to replicate the meta-cognition
  and abstraction required to solve the problems of tomorrow without expert
  help.
DTSTAMP:20260727T165145Z
LOCATION:Hewitt Boardroom (Capacity 35)
SUMMARY:Don't Outsource Your Brain - Aseef Imran\, Sana Sharma
URL:https://pretalx.devconf.info/devconf-us-2026/talk/HMDMBR/
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