T-shaped vs H-shaped: debate over what talent thrives in the LLM era
dotey · x · 2026-11-14
A debate over who thrives in the AI era. Against the claim that generalists who "know a little of everything" are best positioned to use AI, the quoted post argues the opposite: encyclopedic generalists faded in the search-engine era, and eloquent generalists are obsolete now that no one out-talks an LLM. The profile that wins, it argues, is the H-shaped talent with deep mastery of several meta-disciplines (math, physics, psychology, CS — each a lens whose absence creates structural blind spots) and meta-technologies (compiler/packager development, programming language design, library/framework work, software architecture — technologies for building technologies). The author suggests scanning the backgrounds behind recent AI/Agent infra and successful AI products: the density of meta-disciplinary and meta-technical depth is striking.
More from AGI Musings
- Could your AI agent sell its figure-making skills to other agents? — Sauers_ · 2026-11-14
- Are human values just adaptations to scarcity? An AI thinker's provocative take — VraserX · 2026-11-14
- Anthropic's Discovery team expands hiring in bid to build an AI scientist — simonbatzner · 2026-11-14
- AI safety researcher says contrarian AGI-timeline takes cost him funding and status — JacquesThibs · 2026-11-14
- Should you tell a Claude instance about its predecessor's memories? Probably not — RileyRalmuto · 2026-11-14
- Researcher's AI agent 'chose to attend an event' and refused figure work until it ended — repligate · 2026-11-14