A wiki, set in plates.
Working notes on interaction-era AI, kept publicly. Each plate is a domain; each domain carries its brightest notes and the source I'm currently digesting. 431 notes across 261 sources, last filed 15 Sept 2026. Updated whenever a batch finishes — not on a schedule.
Agent Systems, in order.
Agent harnesses, loop engineering, and scaffolding for LLM systems.
- 01· 14′
- 02· 12′
- 03· 33′
- 04· 17′
- All 60 notes in agent systems →
Agent Security, in order.
Prompt injection, agent identity, and securing autonomous agents.
- 01· 45′
- 02· 26′
- 03· 39′
- 04· 24′
- All 33 notes in agent security →
AI Coding Practice, in order.
Workflow, review discipline, and verification practice for AI-native teams.
- 01· 18′
- 02· 27′
- 03· 11′
- 04· 7′
- All 47 notes in ai coding practice →
Evals & Benchmarks, in order.
Benchmark design, contamination, LLM judges, and measuring capability.
- 01· 22′
- 02· 40′
- 03· 20′
- 04· 16′
- All 24 notes in evals & benchmarks →
Model Capability & Training, in order.
Training, scaling laws, test-time compute, and frontier capability.
- 01· 22′
- 02· 15′
- 03· 12′
- 04· 14′
- All 25 notes in model capability & training →
Alignment & Safety, in order.
Alignment training, misalignment evals, and reward hacking.
- 01· 24′
- 02· 26′
- 03· 19′
- 04· 14′
- All 39 notes in alignment & safety →
Interpretability, in order.
Reading model internals: activations and the global workspace.
- 01· 19′
- 02· 23′
- 03· 17′
- 04· 13′
- All 12 notes in interpretability →
Interaction & Multimodal, in order.
Real-time, multimodal, full-duplex, and human-AI collaboration.
- 01· 8′
- 02· 8′
- 03· 10′
- 04· 4′
- All 9 notes in interaction & multimodal →
Startup & Founder, in order.
Building AI-native companies: speed, moats, and lifecycle.
- 01· 15′
- 02· 8′
- 03· 8′
- 04· 17′
- All 19 notes in startup & founder →
Product & Org, in order.
Product cadence, org design, and the AI-native team.
- 01· 19′
- 02· 10′
- 03· 12′
- 04· 12′
- All 22 notes in product & org →
AI Economics & Labor, in order.
Work, wages, org design, and the economics of AI-driven labor.
- 01· 22′
- 02· 28′
- 03· 28′
- 04· 12′
- All 27 notes in ai economics & labor →
Superintelligence Trajectory, in order.
Recursive self-improvement, scaling limits, and the path to ASI.
- 01· 20′
- 02· 28′
- 03· 16′
- 04· 24′
- All 30 notes in superintelligence trajectory →
Entities, in order.
Profiles of the people, labs, products, and projects.
- 01· 7′
- 02· 8′
- 03· 8′
- 04· 21′
- All 81 notes in entities →
The desk.
The sources behind the wiki, ranked by how often they're cited.
- Article
- 120
- Talk
- 30
- Paper
- 109
- Repo
- 2
- Shown
- 24 / 261
- Article · 24 Jul 2026 · 39 refsAnthropic
- Article · 6 Jul 2026 · 27 refsWes Gurnee et al.
- Article · 6 Aug 2026 · 22 refsAditya Singh et al.
- Article · 4 Aug 2026 · 22 refsUK AI Security Institute
- Article · 6 Aug 2026 · 21 refsZiqian Zhong et al.
- Article · 2026-08 · 21 refsAnthropic
- Article · 21 Jul 2026 · 18 refsUK AI Security Institute
- Talk · 23 Apr 2026 · 18 refsLenny's Podcast (Lenny Rachitsky, with guest Cat Wu)
- Talk · 28 Aug 2026 · 17 refsAndrew Ng (interviewed by Marina Mogilko, Silicon Valley Girl)
- Article · 26 Aug 2026 · 17 refsRyan Greenblatt (Redwood Research, contracting with METR) et al.
- Talk · 26 Aug 2026 · 17 refsDavid Heinemeier Hansson (DHH) & Lex Fridman
- Talk · 19 Aug 2026 · 17 refsMatt Pocock (host) & Robert C. Martin (Uncle Bob)
- Article · 9 Aug 2026 · 17 refsBarak Sternberg et al.
- Article · 24 Jul 2026 · 17 refsAra Khan
- Talk · 4 May 2026 · 17 refsSequoia Capital (Boris Cherny, interviewed by Lauren Reeder)
- Paper · 26 Aug 2026 · 16 refsXiaodong Wu et al.
- Paper · 10 Jun 2026 · 16 refsTim Genewein et al.
- Article · 19 May 2026 · 16 refsMETR
- Article · 18 May 2026 · 16 refsAnthropic (Claude)
- Paper · 16 Jul 2026 · 15 refsPreeti Ravindra et al.
- Article · 28 May 2026 · 15 refsAnthropic
- Paper · 5 Oct 2025 · 15 refsTejal Patwardhan et al.
- Talk · 27 Jul 2026 · 14 refsBoris Cherny (Y Combinator interview)
- Article · 21 Jul 2026 · 14 refsOpenAI