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. 407 notes across 234 sources, last filed 19 Aug 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· 21′
- 02· 24′
- 03· 51′
- 04· 6′
- All 26 notes in agent security →
AI Coding Practice, in order.
Workflow, review discipline, and verification practice for AI-native teams.
- 01· 25′
- 02· 18′
- 03· 26′
- 04· 28′
- All 39 notes in ai coding practice →
Evals & Benchmarks, in order.
Benchmark design, contamination, LLM judges, and measuring capability.
- 01· 12′
- 02· 15′
- 03· 9′
- 04· 22′
- All 20 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· 15′
- 04· 12′
- All 39 notes in alignment & safety →
Interpretability, in order.
Reading model internals: activations and the global workspace.
- 01· 23′
- 02· 17′
- 03· 13′
- 04· 9′
- All 11 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· 10′
- 02· 6′
- 03· 12′
- 04· 6′
- All 21 notes in product & org →
AI Economics & Labor, in order.
Work, wages, org design, and the economics of AI-driven labor.
- 01· 28′
- 02· 27′
- 03· 12′
- 04· 12′
- All 26 notes in ai economics & labor →
Superintelligence Trajectory, in order.
Recursive self-improvement, scaling limits, and the path to ASI.
- 01· 20′
- 02· 28′
- 03· 13′
- 04· 22′
- All 30 notes in superintelligence trajectory →
Entities, in order.
Profiles of the people, labs, products, and projects.
- 01· 8′
- 02· 20′
- 03· 15′
- 04· 54′
- All 79 notes in entities →
The desk.
The sources behind the wiki, ranked by how often they're cited.
- Article
- 108
- Talk
- 26
- Paper
- 98
- Repo
- 2
- Shown
- 24 / 234
- 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)
- Article · 24 Jul 2026 · 17 refsAra Khan
- Talk · 4 May 2026 · 17 refsSequoia Capital (Boris Cherny, interviewed by Lauren Reeder)
- 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
- Talk · 27 Jul 2026 · 14 refsBoris Cherny (Y Combinator interview)
- Talk · 26 Jun 2026 · 14 refsNoam Brown (interviewed by Sarah Guo, No Priors)
- Talk · 24 Jul 2026 · 13 refsBrendan McManus et al.
- Article · 21 Jul 2026 · 13 refsOpenAI
- Paper · 2 Jul 2026 · 12 refsGemma Team & Google DeepMind
- Article · 1 Jul 2026 · 12 refs
- Article · 30 Jun 2026 · 12 refs
- Talk · 28 Jun 2026 · 12 refsLenny's Podcast (host Lenny Rachitsky, guest Andrew Ambrosino)
- Article · 6 May 2026 · 12 refs