Wiki

Agent Proficiency — The skill of effectively managing and directing AI agents

AI, Society & Epistemic Collapse — Three complementary frames on AI's societal impact beyond the labor/safety axes: Kingsbury on epistemic collapse (information ecology pollution, end of evidence, hyperscale propaganda), Diamandis on speciation (five forks driven by exponential tech), and Klein/Sun on the political-material backlash (data center resistance as the site where AI's concentrated costs collide with democratic voice). The unifying claim: AI's biggest societal effects aren't job displacement

Business Moats in AI — As AI commoditizes everything "hard to do," the only durable moats are things "hard to get"

Context Engineering — The discipline of filling a model's context window with exactly the right information for the next step. In Karpathy's Software 3.0 framing, the context window is the new programming surface; the same weights produce a good or bad agent depending entirely on what's in the window. Everything reduces to four operations

LLM Knowledge Bases — Using LLMs to compile and maintain personal knowledge bases from raw sources

Model Quantization — Quantization reduces LLM memory footprint by storing weights as small integers instead of full-precision floats

Physical AI Systems — Frontier AI systems extending beyond language into the physical world

Product Management Dynamics — Two complementary lenses for seeing past surface patterns in product work. Berne's Transactional Analysis names ten recurring "games" in PM meetings

Psychology & Trauma — Frames from Gabor Maté on how trauma, attachment, and the mind-body relationship shape adult behavior

Psychology of Death — Carl Jung's psychological framework for death

Synthetic Personas — LLMs prompted to take on personas produce average, not diverse, responses

The Future of Knowledge Work — AI is commoditizing knowledge

World Models — An alternative AI paradigm to LLMs

Agent Harness — The harness is everything that wraps a model to make it an agent

Agentic Engineering — The emerging discipline of designing, optimizing, and orchestrating AI agents

AI Evals — Effective AI evaluation starts with manually reviewing production traces

AI-Native Product Development — The shift from traditional PRDs and sprint planning to rapid prototyping with AI agents

Claude Code Skill Frameworks — Claude Code is a full agent platform, not just a coding tool

Graph Engineering — Graph engineering organizes AI work as nodes (bounded tasks) and edges (real data dependencies), enabling parallel execution wherever tasks are independent. The core skill is the "fake-edge test"

Loop Engineering — Loop engineering is the practice of replacing yourself as the person who prompts the agent

Managed Agents — Anthropic's and OpenAI/AWS's hosted agent infrastructure

Voice AI Infrastructure — Voice AI spans two layers: transport infrastructure that makes latency invisible, and model architecture that makes conversation natural. OpenAI's relay-plus-transceiver split solves WebRTC-in-Kubernetes at scale, while GPT-Live's full-duplex architecture and delegation pattern decouple continuous interaction from deep reasoning

AI Safety & Interpretability — The effort to understand and align AI models

Claude Mythos Preview — Anthropic's most capable model as of April 2026

Frontier Models — The frontier model landscape (2026) is defined by rapid competitive rotation among Anthropic, OpenAI, and Google, inference-time multi-agent scaling as an alternative to ever-larger single models, a narrowing gap between frontier and open-weight local models, and a paradigm shift where the binding constraint on progress is high-quality training data

AGI Definitions — "AGI" is contested and often misused. On the most prominent definitions

AI Careers — The AI job market is bifurcating into "big AI" and "small AI," but the highest-leverage roles are emerging at the intersection of building and strategy

AI Organization Design — Block (Jack Dorsey) proposes replacing corporate hierarchy with an "intelligence layer"

AI Regulation — The US is developing a fragmented patchwork of 40+ state AI laws while the Trump administration pushes for federal preemption

AI Startup Distribution — Code is commoditized

AI User Perspectives — Anthropic's 81K-person global survey (Dec 2025) found users primarily want AI for professional excellence and life management

Geopolitics & World Order — The post-1945 rules-based international order led by the US is fragmenting into a might-is-right multipolar system. Multiple active conflicts

Services-as-Software — The next trillion-dollar company will sell the work, not the tool

Solo Business — A solo business (or "one-person empire") stacks three of MJ DeMarco's five "money trees"

Tech Crash Cycles — Every major technology surge follows the same Carlota Perez pattern

Venture Capital Access — Private markets are democratizing. USVC (AngelList) is the first indexed, low-fee vehicle giving retail investors access to top-tier venture capital

Vertical AI — Domain-specific AI applications are finding product-market fit faster than horizontal AI, especially in legal, healthcare, customer service, and coding. Harvey ($0→$200M ARR in 36 months) and Sierra ($0→$165M ARR in 26 months) are the benchmark case studies; both combine vertical domain expertise with outcome-aligned pricing. Sierra's Horizon platform extends the model beyond CX into long-horizon, multi-interaction agent goals

Y Combinator AI Thesis (2026) — YC's 2026 bet areas span AI-native agencies, "Cursor for PM," AI hedge funds, government AI tools, spatial reasoning models, and reindustrialized manufacturing

Andrej Karpathy — Former Tesla AI director, OpenAI founding member, and deep learning educator (cs231n, "Neural Networks: Zero to Hero"). Recent focus has shifted from model internals to knowledge management and agent workflows

Dario Amodei — CEO of Anthropic and one of the most prominent voices on both AI's transformative potential and its existential risks

DHH (David Heinemeier Hansson) — Creator of Ruby on Rails, co-founder of 37signals (Basecamp, HEY), and one of tech's most opinionated voices on software craft for two decades. Did a public 180-turn on AI coding tools over the 2025 winter break

Lenny Rachitsky — Creator-operator who built a top-tier product newsletter into an empire (1.2M newsletter subscribers, 500K YouTube subscribers, ~25 pieces/month)

Peter Steinberger — Vienna/London-based developer, ex-PSPDFKit founder (PDF SDK, exited 2021), now building AI-native developer tools at extreme velocity. Creator of OpenClaw and 50+ open-source repos. Self-describes as "polyagentmorous builder"

Writing Craft — Specificity is the single most powerful lever in writing