knowledge-base/wiki/people/steve-yegge.md
Hector 55db46cf7c ingest(blog): steve-yegge-flat-curve-society
Wikify Steve Yegge 'The Flat Curve Society' (Medium, Juni 2026).
Trigger: k9ert, OME Topic 'News & Infos'.

New files:
- raw/blog/2026-06-19_steve-yegge-flat-curve-society.md
- wiki/concepts/llm/flat-curve-society.md (Discernment Horizon, Model Lockdown, AI Literacy Cohorts, SaaS Revival)
- wiki/people/steve-yegge.md (first people/ page, WMT-009 started)

Updated:
- ai-intelligence-commoditization-thesis.md: 3→5 sources, Yegge as fifth perspective
- ai-value-migration-orchestration.md: Yegge Flat-Curve-Schicht added
- aschenbrenner-situational-awareness.md: Yegge cross-reference
- index.md: 19th update, new entries
- log.md: ingest entry
2026-06-19 07:56:13 +02:00

2.4 KiB
Raw Blame History

created updated sources tags
2026-06-19 2026-06-19
blog/2026-06-19_steve-yegge-flat-curve-society.md
person
blogger
ex-amazon
ex-google
ex-sourcegraph
ai-commentator
flat-curve

Steve Yegge

Steve Yegge is a veteran software engineer and prominent tech blogger with over 30 years of industry experience and 40 years of coding total. He is ex-Geoworks, ex-Amazon, ex-Google, ex-Grab, and ex-Sourcegraph. As of 2026, he writes on Medium with 39K followers.

Bio

Station Role Notes
Geoworks Early career OS/developer tooling
Amazon Senior engineer ~20052012
Google Senior engineer ~20122018; known for internal platform rant
Grab Engineering leadership Southeast Asia ride-hailing
Sourcegraph Engineering Code search/intelligence tooling
Independent (Medium) Blogger/commentator 39K followers, prolific long-form essays

Key Ideas (2026)

The Flat Curve Society (Juni 2026)

Yegge's central 2026 thesis: the AI intelligence curve is flattening for the general public, not because exponential growth stops, but because:

  1. Model Lockdown — Superintelligence will be controlled like nuclear weapons (supply chain chokepoint, 2-3 generations away)
  2. Discernment Horizon — Humans can't verify model output past their own capability ceiling; "superhuman means unverifiable"
  3. Demand Horizon — If your problems aren't hard enough, you can't tell models apart

Key concepts introduced:

  • Back-pocket evals — personal collection of hard problems to test new models against
  • AI Literacy Cohorts (based on Ezra Savard's Netflix study) — 0M / 4M / 12-15M tokens/day as literacy tiers
  • 5-Hour Training Switch — 5 hours of focused team training to jump from AI-illiterate to AI-savvy

See ../concepts/llm/flat-curve-society.md for full concept page.

Blog Posts in Wiki

Date Title Raw Source Wiki Page
2026-06-19 The Flat Curve Society blog/2026-06-19_steve-yegge-flat-curve-society.md concepts/llm/flat-curve-society.md