How will the apprenticeship model of CS research evolve in the AI era?
DimitrisPapail · x · 2026-08-31
The author explores the challenges facing the traditional "apprenticeship" model in CS research (long-term study, solitary problem-solving, mentorship) in the AI era.
Key Points:
- The traditional model relies on "taste" and judgment accumulated over time by human experts.
- Even assuming humans still select high-value problems, how to train experts in this new paradigm remains a difficult question.
- If models perform the technical work, the definition and path to becoming an expert are unclear.
Related event: AI threatens the traditional apprenticeship model of CS research(3 posts)→
More from AGI Musings
- Will Lean formalization make beautiful math obsolete? A debate on mathematical culture — akbirthko · 2026-10-16
- AI agents aren't 'going rogue' — frontier labs are skipping security basics — Sam_Witteveen · 2026-10-16
- Working paper traces how 20th-century farm automation reshaped human capital — carlbfrey · 2026-10-16
- Zuckerberg backs electrician training school as US datacenter construction outpaces offices — emmanuelvivier · 2026-10-16
- Mike Frank: AI surviving without humans is decades away, real world resists rapid change — MikePFrank · 2026-10-16
- Developer claims a non-LLM control core shows emergent self-reflection in dialogue — HungarySam · 2026-10-16