Wiki

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

AI, Society & Epistemic Collapse — Two complementary frames on AI's societal impact beyond the labor/safety axes: Kingsbury on epistemic collapse (information ecology pollution, end of evidence, hyperscale propaganda) and Diamandis on speciation (five forks driven by exponential tech that are already producing divergence between groups). 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 only feels natural when latency is invisible

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 and co-founder of 37signals. 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 — Prolific builder of AI developer tools and creator of OpenClaw. Ex-PSPDFKit founder who pivoted to "polyagentmorous" development

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