Why lab insiders are more AGI-pilled: they see models succeed on untrained tasks
kellerjordan0 · x · 2026-09-24
Keller Jordan argues AI lab insiders tend to be more 'AGI-pilled' because they directly observe models succeeding at tasks they know were never explicitly trained for—witnessing the 'magical' emergent properties of this synthetic-brain technology firsthand. Outsiders, by contrast, can plausibly attribute every AI success to costly explicit training efforts, making the capabilities seem man-made rather than magical. That information asymmetry drives the AGI belief gap.
More from AGI Musings
- Hot take: a 22-year-old fluent in coding agents beats a lazy senior dev — but watch out for 'slop grenades' — jobergum · 2026-09-24
- The agent economy: someone else's agent will be lying to yours about the price — generativist · 2026-09-24
- AI 'thought' getting 12.7x cheaper per year, reorganizing the economy around judgment — 2C_ornot2C · 2026-09-24
- Self-claimed Pareto frontier of Claude chat time and model welfare concern — EigenGender · 2026-09-24
- AI sped up game development, but shipping a game people want to play is still a grind — AIandDesign · 2026-09-24
- Being early to the Singularity gives you zero long-run advantage, argues Redditor — No-Head-Royal · 2026-09-24