55db46cf7c
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
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51 lines
No EOL
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---
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created: 2026-06-19
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updated: 2026-06-19
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sources:
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- blog/2026-06-19_steve-yegge-flat-curve-society.md
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tags: [person, blogger, ex-amazon, ex-google, ex-sourcegraph, ai-commentator, flat-curve]
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---
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# Steve Yegge
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**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.
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## Bio
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| Station | Role | Notes |
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|---------|------|-------|
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| Geoworks | Early career | OS/developer tooling |
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| Amazon | Senior engineer | ~2005–2012 |
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| Google | Senior engineer | ~2012–2018; known for internal platform rant |
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| Grab | Engineering leadership | Southeast Asia ride-hailing |
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| Sourcegraph | Engineering | Code search/intelligence tooling |
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| Independent (Medium) | Blogger/commentator | 39K followers, prolific long-form essays |
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## Key Ideas (2026)
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### The Flat Curve Society (Juni 2026)
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Yegge's central 2026 thesis: **the AI intelligence curve is flattening for the general public**, not because exponential growth stops, but because:
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1. **Model Lockdown** — Superintelligence will be controlled like nuclear weapons (supply chain chokepoint, 2-3 generations away)
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2. **Discernment Horizon** — Humans can't verify model output past their own capability ceiling; "superhuman means unverifiable"
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3. **Demand Horizon** — If your problems aren't hard enough, you can't tell models apart
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**Key concepts introduced:**
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- **Back-pocket evals** — personal collection of hard problems to test new models against
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- **AI Literacy Cohorts** (based on Ezra Savard's Netflix study) — 0M / 4M / 12-15M tokens/day as literacy tiers
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- **5-Hour Training Switch** — 5 hours of focused team training to jump from AI-illiterate to AI-savvy
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See [[../concepts/llm/flat-curve-society.md]] for full concept page.
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## Blog Posts in Wiki
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| Date | Title | Raw Source | Wiki Page |
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|------|-------|-----------|-----------|
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| 2026-06-19 | The Flat Curve Society | `blog/2026-06-19_steve-yegge-flat-curve-society.md` | `concepts/llm/flat-curve-society.md` |
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## External Links
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- [Steve Yegge Medium Profile](https://steve-yegge.medium.com/) — 39K followers
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- [The Flat Curve Society (June 2026)](https://steve-yegge.medium.com/the-flat-curve-society-36c8b01eb33b)
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- [Steve Yegge Wikipedia](https://en.wikipedia.org/wiki/Steve_Yegge) (if exists) |