Library
Every published page, grouped by type. Theses carry confidence grades; supporting pages are the evidence they stand on.
Synthesiss (5)
Cost-Structure Inversion of Local Inference
Cost-Structure Inversion of Local Inference The 2026 shift where the community that spent two years arguing for self-hosting is now openly arguing against it — because the API got cheap enough to beat owning the hardware
73/100 · Corroborated
Enterprise OpenClaw Playbook (Synthesis)
Enterprise OpenClaw Playbook (Synthesis) Cross-source answer to: "What are the key insights on agentic engineering, and how can OpenClaw-style setups be applied in enterprises?" Synthesizes 8 sources across the Andrej Ka
85/100 · High confidence
Security Obligation Propagates Via Revenue and Contract
Security Obligation Propagates Via Revenue and Contract The load-bearing synthesis from Enterprise Information Security Reddit Practitioner Research 2026-08-03: the mechanism that actually moves security work through an
66/100 · Emerging
ServiceNow Earnings Reaction — Forced AI Bundling and Retention Risk
ServiceNow Earnings Reaction — Forced AI Bundling and Retention Risk A synthesis of how ServiceNow (NYSE: NOW) earnings have been received in mid-2026, the customer backlash to forced AI bundling , and whether that backl
77/100 · Corroborated
Weekly AI Signals 2026-07-04 — Licensing Whiplash and the Enterprise Agentic Playbook
Weekly AI Signals 2026-07-04 — Licensing Whiplash and the Enterprise Agentic Playbook Week of the 2026-07-04 Economist edition. One sentence: the US now runs a de facto licensing regime for frontier models, and that sing
75/100 · Corroborated
Comparisons (1)
Querys (8)
Data Democratisation in Sales — Governed Context Layer, Not Dashboard Access
Data Democratisation in Sales — Governed Context Layer, Not Dashboard Access The user's POV (filed back as a query page). Question that triggered it: "How do I implement Data Democratisation inside a sales domain?" Answe
71/100 · Corroborated
Designing AI Products That Don't De-Skill Users
Designing AI Products That Don't De-Skill Users The Gedeon-side complement to Will AI Make Us Dumber Method-Dependent Evidence and Sandeep's Key Insights on Using AI Effectively. Those two answer the usage question — wha
62/100 · Emerging
Designing IT Roles for an AI Era (Talent Strategy POV)
Designing IT Roles for an AI Era — A Talent-Strategy POV Question (2026-06-02): As AI pushes humans toward higher-value work anchored in domain mastery and solution design, how should we structure IT roles inside an ente
89/100 · High confidence
Managing Enterprise IT Development in the Era of Token Scarcity
Managing Enterprise IT Development in the Era of Token Scarcity Question (2026-06-11): "How do we think of managing IT development work for enterprise IT in the era of token scarcity? Guardrails, incentives and model cho
89/100 · High confidence
Sandeep's Key Insights on Using AI Effectively
Sandeep's Key Insights on Using AI Effectively Question (2026-05-30, via Telegram 3099): "Go to my second brain and find out what Sandeep has taught on key insights on using AI to be super effective." The wiki has Sandee
62/100 · Emerging
Turning This Mac Into an AI Operating System
Turning This Mac Into an AI Operating System Question: Watching Nate Herk's AIOS video — how do we actually turn this Mac into an AI Operating System (AIOS)? Short answer: You're already ~70% there — further along than N
51/100 · Emerging
Unlocking 10X in Domain Masters as AI Gets Better
Unlocking 10X in Domain Masters as AI Gets Better Question (2026-06-11): "As AI is becoming better each day, how can one leverage this to unlock a 10X mindset for employees that have domain mastery?" The core claim: AI i
76/100 · Corroborated
Will AI Make Us Dumber Method-Dependent Evidence
Will AI Make Us Dumber? Method-Dependent Evidence Question (2026-05-16): "Can you tell me specific data to argue that AI will not make us dumber if we follow a specific method?" The honest one-liner No single longitudina
77/100 · Corroborated
Concepts (69)
AI Licensing Regime (US)
AI Licensing Regime (US) The de facto model-release approval regime that emerged in June 2026 as the practice of American frontier-AI governance, notwithstanding the June 2 Executive Order's explicit language that no "ma
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AI Operating System (AIOS)
AI Operating System (AIOS) A single AI workspace — for Nate Herk (AI Automation), Claude Code running Opus 4.8 — that you work out of by default instead of tab-switching across chat apps, browsers, and SaaS tools. It hol
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AIM Protocol
AIM Protocol Sandeep Swadia's prompting micro-pattern: A ctor / I nput / M ission. Used as the drafting-stage helper in DRAG Framework. "Hey AI, act in this role, use this input, and this is your mission." The three slot
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ARR Framework
ARR Framework Sandeep Swadia's one-axis decision rule for whether to use an agent or a prompt , from You're Not Behind (Yet) Learn AI Agents (theMITmonk). "If a task is autonomous, recurring, and reviewable, it's a stron
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AWARE Framework
AWARE Framework A technical control structure for governing AI agents at enterprise scale. Developed by Glean's Work AI Institute in collaboration with Databricks and Palo Alto Networks. Per Ben Mayrides (CISO at Cvent),
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Agentic Engineering
Agentic Engineering Andrej Karpathy's term for the engineering discipline emerging on top of Vibe Coding. While vibe coding raises the floor (anyone can build), agentic engineering raises the ceiling — preserving the pro
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Agentic Loop
Agentic Loop The execution pattern that makes an LLM into an agent rather than a chatbot. Also called the ReAct pattern — Reason, Act, observe, repeat. The loop 1. Task arrives (via Slack, iMessage, CLI, API, etc) 2. Ass
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Auto Research Loop (Karpathy)
Auto Research Loop (Karpathy) A minimal loop primitive Andrej Karpathy proposed (≈Q2 2026) for letting an LLM agent improve a system overnight without supervision. Three ingredients, ~10 lines of program.md : 1. An artif
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Bike Method
Bike Method Nate Herk (AI Automation)'s rule for granting agent autonomy: earn it in phases, like teaching a kid to ride a bike. You don't hand a kid a bike, strap on a helmet, and walk away. You walk alongside, hold the
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Binary Eval Assertions
Binary Eval Assertions The eval-design principle that makes auto-research loops actually converge: assertions must be true-or-false, codable, and not require interpretation. Coined here from Simon Scrapes's framing in Bu
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Bounded vs Unbounded Tasks
Bounded vs Unbounded Tasks A practical framework from Praveen Akkiraju for deciding where agent autonomy is realistic and where humans must stay in the loop. The dichotomy Bounded tasks Unbounded tasks --- --- --- Output
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Build vs Buy (Agents)
Build vs Buy (Agents) When does an enterprise build its own agentic capability vs buy a vendor product? The decomposition (Praveen, Agentic AI in the Enterprise (Praveen Akkiraju, CXOTalk)) The build/buy line breaks down
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Capabilities vs Instructions (Agent Keys)
Capabilities vs Instructions (Agent Keys) Nate Herk (AI Automation)'s sharpest safety principle: instructions are not the same as capabilities. Picture every tool the agent has as a key on a key ring . There's a world of
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Character Lives in the Harness (Not the Weights)
Character Lives in the Harness (Not the Weights) The empirical observation that "model character" — refusals, alignment behaviour, safety posture, even political-taboo compliance — is significantly compiled into the syst
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Chief GBS Orchestrator
Chief GBS Orchestrator The emerging top role in Everest Group's "future of GCCs" view (GCC Philippines Summit 2026 (PHx)): a leader accountable for enterprise flow, execution coherence, and value realization , who owns o
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Cobra Effect
Cobra Effect The classic incentive trap : reward the wrong proxy and people optimize the reward while abandoning the actual goal. The origin Named for a 1900s Delhi bounty that paid a reward per dead cobra to cut the sna
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Code Is Free
Code Is Free Ryan Lopopolo's framing: the production, refactoring, and deletion of code is no longer a scarce resource. The asymmetry that traditionally constrained software engineering — "humans write code; humans are s
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Cognitive Offloading
Cognitive Offloading The act of handing off a cognitive task — a decision, a calculation, an interpretation — to an external system, with the cost of not building (or eroding) the internal capability to do it yourself. P
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Compliance Cascade
Compliance Cascade The mechanism by which a regulation applying to a single enterprise obligates every supplier in its supply chain, whether or not those suppliers are themselves in scope. The regulator writes the rule f
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Context Development Lifecycle
Context Development Lifecycle Patrick Debois's framing: if context is the new code, then the loop you wrap around it should look like a software development lifecycle. Four phases, drawn as an infinity loop in the talk:
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Context Engineering
Context Engineering The discipline of getting the right data to the model at the right time, with the right permissions, in the right shape — at runtime. "A model is only as good as the context it can access." — Context
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DRAG Framework
DRAG Framework Sandeep Swadia's 4-category delegation rubric for what to outsource to AI . From Dangerously Smart with AI (theMITmonk). Companion to the capped-payoff vs uncapped-payoff curves (intelligent laziness): DRA
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Dark Patterns
Dark Patterns UX design choices that look like they help the user but actually steer them toward outcomes they wouldn't choose with full information. Coined by UX practitioners around 2010; long pre-AI. Canonical example
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Data Democratisation
Data Democratisation The idea that broad access to data improves decisions. The user's working definition (refined against Prukalpa's context-layer essay): democratising data means democratising the meaning of data — def
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Default Shift
Default Shift The core mindset move behind an AI Operating System (AIOS): reach for Claude Code first , before opening Chrome, a chat app, or any SaaS tool — for every task, not just coding. Nate Herk (AI Automation)'s r
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Desirable Difficulties
Desirable Difficulties A principle from Robert Bjork's memory research at UCLA: ease and retention move in opposite directions . The harder the brain has to work to pull an idea out, the stronger the memory becomes after
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Ebbinghaus Forgetting Curve
Ebbinghaus Forgetting Curve The empirical observation, originally from Hermann Ebbinghaus's 1880s self-experiments, that retention of new information decays steeply and fast without reinforcement. The headline figure quo
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Effective Feedback Compute
Effective Feedback Compute A trace-level scaling coordinate for agent harnesses introduced in Scaling Laws for Agent Harnesses via Effective Feedback Compute (arxiv 2605.29682, May 2026). EFC's premise: raw expenditure (
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Effort levels
Effort levels A per-request dial on Claude models controlling how much reasoning/compute is spent: low → medium → X-high → max . Higher effort = better output on hard tasks but more tokens, more cost, and more latency. C
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Expert Generalist
Expert Generalist The orchestrator archetype that emerges as the valuable human-in-the-loop in agentic-AI teams. Named by Martin Fowler / ThoughtWorks in a July 2025 article; convergent with Werner Vogels (Amazon) Renais
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FOBO (Fear of Becoming Obsolete)
[!note] 2026-07-07 addition — the "you got a promotion" reframing Jeff Crume's AI Gave You A Promotion (IBM Technology) adds a specifically anti-FOBO frame : AI transforms the traditional role pyramid into a diamond , mo
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Fluency Illusion
Fluency Illusion The cognitive bias of mistaking recognition for retrieval . When information arrives smoothly — a clean explanation, a polished summary, an instant answer — your brain registers the smoothness itself as
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Four C's Framework
Four C's Framework Nate Herk (AI Automation)'s architecture for building an AI Operating System (AIOS). Four layers, each of which can't work without the previous one . His later refinement (I Turned Claude Fable Into Th
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Frontier GCC
Frontier GCC McKinsey's term (GCC Philippines Summit 2026 (PHx)) for the top-percentile ( P95+ ) GCCs that have become transformation engines for the enterprise, not cost centers. Defined by a triple play: Talent + Innov
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GPS Check (for Agents)
GPS Check (for Agents) Sandeep Swadia's pre-flight diagnostic before automating anything with an agent: G oal / P roof / S teps. From You're Not Behind (Yet) Learn AI Agents (theMITmonk). "An agent is not magic. It's a m
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Hallucination Laundering
Hallucination Laundering Martin Keen's coinage in Five AI Risks That Can Get You Fired (IBM Technology) — the act of taking plausibly-confident AI output and presenting it as one's own work without verification, thereby
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Harness (LLM Agents)
Harness (LLM Agents) The scaffolding around an LLM that turns it from a stateless next-token machine into a useful agent. Roughly: tools + context + memory + guardrails + observability . The most-cited line, from Praveen
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Headcount-to-Value Pivot
Headcount-to-Value Pivot The central thesis of GCC Philippines Summit 2026 (PHx): enterprises (and their GCCs) are shifting from headcount-led growth to value-led growth — revenue and impact decoupling from FTE count as
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Hierarchy of Access
Hierarchy of Access The Economist's framing (June 2026 cover leader, AI Has Granted America Vast New Power (Economist) ) for the likely tiered structure of who gets to use which frontier AI capabilities , modelled on US
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Hourglass Organization
Hourglass Organization Steven Brovich's named org shape for the agentic-AI era. Named in A Leaders Guide to Advanced Team Structures (AWS Events). The form that preserves the talent pipeline while still capturing agent-a
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Human in the Loop
Human in the Loop The pattern of keeping a human approval/review step inside an agentic workflow. Default operating model in 2026 enterprise AI per all three CXOTalk sources in this wiki. When humans should stay in the l
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Intelligent Fool
Intelligent Fool Sandeep Swadia's frame for beginner's mind as the prerequisite for using AI well , from step 4 of Dangerously Smart with AI (theMITmonk). "The biggest obstacle to intelligence isn't ignorance, it's ego.
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Intelligent Gym
Intelligent Gym Sandeep Swadia's frame for the deliberately-frictioned use of AI: when the goal is to build your capability, AI is a spotter, not a substitute. Coined in Dangerously Smart with AI (theMITmonk). "Most peop
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Intelligent Hill (Prompting Camps)
Intelligent Hill (Prompting Camps) Sandeep Swadia's metaphor for the prompting hierarchy, from Dangerously Smart with AI (theMITmonk). The "hill" is the climb from naive prompting to agent-level work; each "camp" is a mo
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Jagged Intelligence
Jagged Intelligence The observation that frontier LLMs simultaneously demonstrate superhuman capability in some domains and trivially fail in others — capability profile is spiky , not smooth. Two independent sources in
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Kill Switch
Kill Switch The on-record 2026 term of art for a government's ability to abruptly cut off allies' access to AI models, chips, or cloud services via executive order, export restriction, or similar policy decision. Named i
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Knowledge Work Factory Redesign
Knowledge Work Factory Redesign OpenAI's framing of Codex (June 2026, in the report The Next Era of Knowledge Work ): knowledge work is the next domain due for a factory-style redesign, and Codex is positioned as that re
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LLM Wiki Pattern
LLM Wiki Pattern A pattern for building personal knowledge bases where an LLM agent incrementally builds and maintains a persistent, interlinked wiki between the user and their raw sources. The user curates and questions
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Model Routing
Model Routing Deliberately matching each task to the cheapest model that is sufficient for it, instead of running everything on the frontier model. The practical-economics counterweight to ever-more-capable (and ever-mor
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Narrow Agents
Narrow Agents Sandeep Swadia's thesis that the agents that win — in both the enterprise and the startup market — are obsessively narrow , not broadly capable. From You're Not Behind (Yet) Learn AI Agents (theMITmonk). "M
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PRIME Framework
PRIME Framework Sandeep Swadia's 5-element prompting rubric, from How To Use Claude Better Than 99% Of People (theMITmonk). The "full" version of his earlier AIM Protocol — a richer scaffold for setting up a high-quality
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Productive Resistance
Productive Resistance A design principle for AI interfaces: insert just enough friction before answering so the user does some cognitive work — but not so much that they defect to a simpler tool. The unsolved sweet spot
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SaaSpocalypse
SaaSpocalypse The thesis that AI agents are an existential threat to the SaaS industry . The framing names four attack vectors — "the four SaaSquatches" : 1. Large AI labs moving horizontally into apps — model providers
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Security Budget in Tiers
Security Budget in Tiers The pattern that the Enterprise Information Security Reddit Practitioner Research 2026-08-03 corpus converges on as the way security program budgets actually survive a CFO conversation: present t
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Security Questionnaire Fatigue
Security Questionnaire Fatigue The receiving-end phenomenon that pairs with Compliance Cascade: when every enterprise customer sends a supplier its own 200–400 question security assessment (DDQ, SIG, CAIQ, custom), suppl
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Shadow AI
Shadow AI The new variant of Shadow IT: employees adopting AI tools / building AI agents without central IT approval. Three sources in this wiki agree it's an inevitable byproduct of AI tooling becoming consumer-grade an
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Skill Change Index (SCI)
Skill Change Index (SCI) McKinsey's measure (GCC Philippines Summit 2026 (PHx)) of how much AI reprices the skills demanded by a role — the degree to which a given skill's relevance rises or falls as AI automates parts o
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Skills (Claude Code)
[!note] 2026-07-24 addition — Anthropic's official skill-authoring guidance for the Claude 5 era Thariq Shihipar's Anthropic-blog sequel The New Rules of Context Engineering for Claude 5 (Thariq Shihipar) gives skill aut
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Sovereign AI
Sovereign AI The 2026 governance-and-industrial ambition that countries limit their dependence on foreign providers of AI by actively developing domestic AI firms and infrastructure. Named as a discrete concept in the 20
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Spaced Repetition
Spaced Repetition The practice of scheduling review sessions at progressively expanding intervals, timed against the Ebbinghaus Forgetting Curve so each retrieval attempt happens near the point where the memory is starti
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Standardized vs Open Tasks
Standardized vs Open Tasks The policy framework in BOK Issue Note 2026-12 for organising work so AI delivers actual productivity. The distinction is a sharper, more actionable version of the older economics "routine vs n
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Subsea Cables
Subsea Cables The arterial layer of the global internet and — increasingly — of the AI Capex Supercycle. ~700 subsea cables carry 99% of intercontinental internet traffic . The vault's data-centre and chip-hoarding threa
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TRAP Framework
TRAP Framework Four-step protocol for durable learning, proposed by theMITmonk in How To Learn Anything So Fast (theMITmonk): T est it · R etain it · A ssociate it · P erform it Built to defeat the Fluency Illusion — the
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Tasks to Responsibilities Shift
[!note] 2026-07-07 addition — the pyramid→diamond org-side view Jeff Crume's pyramid→diamond model (AI Gave You A Promotion (IBM Technology)) is the role-geometry twin of Ryberg's tasks→responsibilities shift. Where Rybe
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Token Maxing
Token Maxing Praveen Akkiraju's term for the enterprise pathology where teams burn through annual AI budgets in ~3 months. "As many tokens as you provide will get consumed as quickly as possible." Cited via a Goldman Sac
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Token Scarcity
Token Scarcity The rationing regime that follows the token-subsidy era. As usage shifts from assisted (a human in the loop, bounded turns) to agentic (continuous loops, fan-out sub-agents), AI demand outpaces a physicall
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Vibe Coding
[!note] 2026-07-07 addition — the Pocock counter (via the specs-to-code family) Matt Pocock's Software Fundamentals Matter More Than Ever (Matt Pocock, AI Engineer) argues that Specs-to-Code is "vibe coding by another na
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Vibe Lawyering
Vibe Lawyering The Vibe Coding-analogous pattern of laypeople using AI chatbots to represent themselves in court, prepare filings, and draft correspondence — bypassing (or supplementing) professional legal counsel. Coine
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Zombie AI Agent
Zombie AI Agent An agent spun up for a project (often a proof-of-concept), still running and authenticated long after the project ended, holding API keys and access nobody is monitoring anymore . Coined by Martin Keen in
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Sources (39)
6 Questions Shaping Enterprise AI (AI Daily Brief)
6 Questions Shaping Enterprise AI (AI Daily Brief) Nathaniel Whittemore's main-episode read-out from KPMG's annual tech and innovation symposium in Utah (his second year presenting there), reframing the enterprise AI con
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A Leaders Guide to Advanced Team Structures (AWS Events)
A Leader's Guide to Advanced Team Structures in an Agentic World (AWS Events) AWS Events YouTube; Steven Brovich (Amazon since August 1999, ~27 years; second-half career on people/culture; part of Tom's "former C-level e
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Agentic AI in the Enterprise (Praveen Akkiraju, CXOTalk)
Agentic AI in the Enterprise (Praveen Akkiraju, CXOTalk) Praveen Akkiraju (Managing Director, Insight Partners) talks with Michael Krigsman about the state of enterprise agentic AI in 2026. The cleanest articulation of "
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America Is Anxious and Awesomely Powerful (Economist)
America Is Anxious and Awesomely Powerful (Economist) Section: Leaders (cover Leader) · Edition: 2026-07-04 Edition · The Economist The semiquincentennial (America at 250) cover Leader for the July 4 2026 edition. The ed
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America Should Not Imprison Frontier AI (Economist)
America Should Not Imprison Frontier AI (Economist) Section: Leaders · Edition: 2026-07-04 Edition · The Economist The AI-cluster Leader for the 07-04 edition. Argues that the Trump administration's improvised licensing
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Americas AI Labs Are Under Threat from Cheap Chinese Rivals (Economist)
America's AI Labs Are Under Threat from Cheap Chinese Rivals (Economist Business, 2026-07-25) Section: Business Print headline: "Weights of the world" URL: https://www.economist.com/business/2026/07/21/americas-ai-labs-a
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Andrej Karpathy on Agentic Engineering (Sequoia AI Ascent)
Andrej Karpathy on Agentic Engineering (Sequoia AI Ascent) Andrej Karpathy interviewed by Stephanie Zhan at Sequoia AI Ascent 2026. A year after coining "vibe coding," he argues the field has progressed from raising the
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Anthropic Economic Index Cadences Report (June 2026)
Anthropic Economic Index report: Cadences (June 2026) Anthropic Economic Index, June 26 2026 issue. The third in the EI series, and the first to (a) sample at a high enough rate to study hourly patterns, (b) classify the
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Autonomous Software Development with Blitzy (CXOTalk)
Autonomous Software Development with Blitzy (CXOTalk) Enrique Ibarra (CIO, GNP — Mexico's largest insurer) on a real ~1,000-developer pilot of Blitzy, an autonomous software development platform. Concrete numbers from pr
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Boris Cherny on Coding Is Solved (Sequoia AI Ascent)
Boris Cherny on Coding Is Solved (Sequoia AI Ascent) Boris Cherny, creator of Claude Code at Anthropic, interviewed by Lauren Reeder at Sequoia AI Ascent 2026. Argues that for the code he writes, coding is solved — he ha
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CIO Agenda 2026 (CXOTalk)
CIO Agenda 2026 (CXOTalk) Tim Crawford and Isaac Sacolick (former CIOs, advisors) on why enterprise AI strategies are failing and what separates the transformational CIO from the survivor. Cited stat: 88% of companies us
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CLI vs MCP (IBM Technology)
CLI vs MCP (IBM Technology) Martin Keen (IBM) gives a more nuanced take on the CLI-vs-MCP debate than the partisan version in Printing Press (Nate Herk video). Conclusion: use both — CLI when commands map to the job, MCP
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China Is Having Another AI Moment (Economist)
China Is Having Another AI Moment Section: China Edition: 2026-06-27 Print headline: Roaring back once again? URL: https://www.economist.com/china/2026/06/21/china-is-having-another-ai-moment The 2026 sequel to the Janua
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Context Engineering and GraphRAG (IBM Technology)
Context Engineering and GraphRAG (IBM Technology) Martin Keen on why model intelligence is no longer the bottleneck — context is. Maps out Context Engineering, the four pillars of a contextual system, and the family of R
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Dangerously Smart with AI (theMITmonk)
Dangerously Smart with AI (theMITmonk) Second video by theMITmonk (Sandeep Swadia) in this wiki. A 4-step framework — Intelligent Laziness → Intelligent Hill → Intelligent Gym → Intelligent Fool — for using AI to raise c
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DeepSeek-V4-Flash-0731 Reddit Reception Research (2026-08-08)
DeepSeek-V4-Flash-0731 — Reddit Reception Research (2026-08-08) Synthesized research report generated by querying Reddit via the reddit-research MCP server: 5 semantic discovery queries → targeted search subreddit sweeps
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Does AI Adoption Improve Productivity (BOK Issue Note 2026-12)
Does AI Adoption Improve Productivity? Effects Over the First Three Years Bank of Korea Issue Note No. 2026-12 (June 8, 2026). The first vault source to put a macro econometric number on the gap between worker-level AI a
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Donald Trumps AI Regime Is Opaque Unpredictable and Unsustainable (Economist)
Donald Trump's AI Regime Is Opaque, Unpredictable and Unsustainable (Economist) Section: Business · Edition: 2026-07-04 Edition · The Economist The Business-side anchor for the 07-04 AI cluster. Reports how, in a matter
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Enterprise Information Security Reddit Practitioner Research 2026-08-03
Enterprise Information Security — Reddit Practitioner Research (2026-08-03) A synthesized practitioner-sentiment research report on enterprise information security, generated 2026-08-03 by querying Reddit directly via th
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Five AI Risks That Can Get You Fired (IBM Technology)
Five AI Risks That Can Get You Fired (IBM Technology) Martin Keen for IBM Technology — a 10-minute whiteboard rundown of the five concrete ways AI use (and AI deployment) is currently ending careers. Vendor-positioned as
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Governing AI Agents at Scale (Glean + Cvent, CXOTalk)
Governing AI Agents at Scale (Glean + Cvent, CXOTalk) CIO Pradeep Mannakkara and CISO Ben Mayrides of Cvent (~5,500 employees, 6,000+ agents in production ) on how they govern at scale using the AWARE Framework developed
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Harness Engineering (Ryan Lopopolo, AI Engineer)
Harness Engineering (Ryan Lopopolo, AI Engineer) Ryan Lopopolo (member of technical staff at OpenAI) keynote on harness engineering at AI Engineer London 2026. Companion to a Latent Space podcast episode and OpenAI's har
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How Bosses Should Talk About AI (Economist)
How Bosses Should Talk About AI (Economist) Summary A managerial how-to wrapped around the Bill Winters / Standard Chartered case study. Winters, the bank's CEO, announced a planned 15% reduction in back-office jobs over
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How To Learn Anything So Fast (theMITmonk)
How To Learn Anything So Fast (theMITmonk) YouTube monologue by theMITmonk (Sandeep Swadia) — ex-Wall Street, now CEO/board member/investor — arguing that AI has supercharged the fluency illusion : polished answers feel
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How To Use Claude Better Than 99% Of People (theMITmonk)
How To Use Claude Better Than 99% Of People (theMITmonk) Third theMITmonk video (Sandeep Swadia) in this wiki. A practitioner walkthrough of Claude as a five-surface product stack (Chat / Projects / Cowork / Code / Chrom
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I Turned Claude Opus 4.8 Into My Entire AI Operating System (Nate Herk)
I Turned Claude Opus 4.8 Into My Entire AI Operating System (Nate Herk) "AI isn't king. Everyone has access to the same AI models… Context is king." By Nate Herk (AI Automation) · YouTube, 2026 Nate Herk turns Claude Cod
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Is AI Making Us Dumber (Charlie Gedeon, TEDxSherbrooke)
Is AI Making Us Dumber? Maybe. — Charlie Gedeon (TEDxSherbrooke) Talk by Charlie Gedeon, university instructor + UX designer, on TEDxSherbrooke Street West. The thesis: AI doesn't break education — it accelerates educati
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Learning Software Engineering During the Era of AI (Raymond Fu, TEDxCSTU)
Learning Software Engineering During the Era of AI — Raymond Fu (TEDxCSTU) Talk by Raymond Fu, CSTU professor and veteran technologist, at TEDxCSTU (May 2025) on TEDx Talks. The thesis: if AI can write code, is it still
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Printing Press (Nate Herk video)
Printing Press (Nate Herk video) "Printing Press Just 10x'd Everyone's Claude Code" By Nate Herk (AI Automation) · YouTube, 2026 A walkthrough of Printing Press — a tool that gives Claude Code (and other agents) a librar
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Scaling Laws for Agent Harnesses via Effective Feedback Compute
Scaling Laws for Agent Harnesses via Effective Feedback Compute Arxiv 2605.29682 (cs.CL, submitted 2026-05-28). The first paper in this vault to propose a trace-level scaling coordinate for agent harnesses — not raw toke
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The 10X Rule (Grant Cardone)
The 10X Rule (Grant Cardone) Summary An AI-generated book-summary video (channel Famous Labs , made with their famous.ai / SuperCool tooling) walking through Grant Cardone's 2011 book. The core claim: the gap between suc
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The 7 Skills You Need to Build AI Agents (IBM Technology)
The 7 Skills You Need to Build AI Agents Summary In this IBM Technology video, presenter Bri Kopecki argues that "prompt engineer" is a badly named job title — building AI Agents that survive in production is a systems-e
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The AI Boom and Geopolitics Are Rewiring Asias Oceans (Economist)
The AI Boom and Geopolitics Are Rewiring Asia's Oceans (Economist) Section: Asia · Edition: 2026-07-04 Edition · The Economist Feature on how the AI Capex Supercycle hyperscaler build-out is rerouting global subsea cable
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The New Dumbest Chart in AI (AI Daily Brief)
The New Dumbest Chart in AI Nathaniel Whittemore on The AI Daily Brief dismantles the Wall Street panic over Citadel Securities' "tokconomics" note and the Silicon Data LLM token expenditure index . His core argument: th
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The Rise of Vibe Lawyering (Economist)
The Rise of Vibe Lawyering (Economist) Section: Business · Edition: 2026-07-04 Edition · The Economist Reports the emergence of "vibe lawyering" — the Vibe Coding-analogous pattern of laypeople using AI chatbots to repre
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What an Enterprise Context Layer Is (Prukalpa)
What an Enterprise Context Layer Actually Is (Prukalpa) Prukalpa's June 2026 Substack essay on what an enterprise context layer actually is — and why most stacks calling themselves one don't qualify. The framing matters
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What is OpenClaw (IBM Technology)
What is OpenClaw (IBM Technology) Cedric Clyburn explains OpenClaw — open-source personal AI agent created late 2025, now one of the most-starred GitHub projects. Walks through the Agentic Loop (ReAct pattern), the gatew
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Why Cant Indias Government Build a Decent Website (Economist)
Why Can't India's Government Build a Decent Website? (Economist) Section: Asia · Edition: 2026-07-04 Edition · The Economist Reports a structural failure of government IT in India — the visa website (indianvisaonline.gov
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You're Not Behind (Yet) Learn AI Agents (theMITmonk)
You're Not Behind (Yet) Learn AI Agents (theMITmonk) Fourth theMITmonk video (Sandeep Swadia) in this wiki. A 13-minute primer on what makes an agent an agent (vs a prompt or a workflow), how to decide what to automate,
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Entitys (33)
Andrej Karpathy
Andrej Karpathy ML researcher and educator. Co-founder of OpenAI, ex-head of AI at Tesla (Autopilot), founder of Eureka Labs . Coined Vibe Coding (2025) and Software 3.0. Author of the gist that seeded this Second Brain.
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Anthropic
Anthropic AI lab. Maker of the Claude model family and Claude Code. Internal incubator Anthropic Labs produced Claude Code, MCP, and the desktop app. [!note] Model frontier moved (June 2026) Earlier sources in this wiki
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Anthropic Economic Index
Anthropic Economic Index Anthropic's in-house research program on the economic impact of Claude usage. Multiple reports per year, plus the linked Economic Index Survey (launched April 2026). The reports are the closest f
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Boris Cherny
Boris Cherny Engineer at Anthropic; creator of Claude Code. Joined Anthropic Labs (a small incubator) in late 2024; that team also produced MCP and the Anthropic desktop app. Public positions - "Coding is solved" (for th
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Charlie Gedeon
Charlie Gedeon University instructor, entrepreneur, and UX designer. Studies how technology changes how people think and learn. Co-founder of a UX studio experimenting with AI interface patterns that resist cognitive off
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Claude Code
Claude Code Anthropic's coding agent. Originated in Anthropic Labs (late 2024) under Boris Cherny. The agent currently maintaining this Second Brain. Origin & inflection (per Boris Cherny on Coding Is Solved (Sequoia AI
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Cvent
Cvent SaaS hospitality and event software company. ~5,500 employees, ~30,000 customers. Blackstone portfolio company since 2023. CIO: Pradeep Mannakkara. CISO: Ben Mayrides. Why Cvent matters in this wiki The most concre
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Dean Ball
Dean Ball Former AI adviser in the Trump administration . A high-signal internal-dissent voice on US frontier-AI regulation. Key vault-relevant framings - The libertarian → draconian pivot. "In a matter of weeks, us fede
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DeepSeek
DeepSeek Chinese AI lab whose January 2025 R1 release created the original "DeepSeek moment" — reasoning models experienced at scale for the first time, wiping ~$1trn from US capital markets (Nvidia −17% intraday, Nasdaq
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Enrique Ibarra
Enrique Ibarra CIO of GNP (Grupo Nacional Provincial — Mexico's largest insurer). Ran a real ~1,000-developer pilot of the autonomous software-development platform Blitzy, reported on Autonomous Software Development with
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GLM 5.2
GLM 5.2 Zhipu (Z.ai) 's flagship model, released June 13 2026 at 5:21pm Beijing time — one day after the June 12 US export ban on Anthropic Fable 5. The article's data anchor for the "second China AI moment." Capability
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Glean
Glean Enterprise "Work AI" platform — unified search and agent platform across email, Slack, Box, Salesforce, etc., with fine-grained per-user access controls preserved across data sources. The platform Cvent standardize
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Google
Google Alphabet's search/AI giant — in this vault less a primary subject than a recurring third force alongside Anthropic and OpenAI. Frontier models (Gemini), DeepMind research (AlphaEvolve), and hyperscale infrastructu
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Grant Cardone
Grant Cardone American author, real-estate investor, sales trainer, and motivational speaker. Best known for the 10X philosophy — the claim that the difference between success and failure is one of target-setting magnitu
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Higgsfield
Higgsfield Creative-AI platform for image and video generation. Mentioned in How To Use Claude Better Than 99% Of People (theMITmonk) as the sponsor of that episode — disclosed inline. What Sandeep claims about it - "Use
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Howard Lutnick
Howard Lutnick US Commerce Secretary in the Trump administration; the operational face of the AI Licensing Regime (US) and, from mid-2026, of the export-controls arm as well. Role in the June 2026 regime - The jawboning
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KPMG
KPMG Big Four professional-services firm (audit, tax, advisory). Appears in this vault as the host of an annual tech and innovation symposium in Utah, which Nathaniel Whittemore has presented at in consecutive years — ma
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Matthew Berman
Matthew Berman YouTube channel run by Matthew Berman , focused on AI news, frontier-model releases, and hands-on model reviews. Style is fast-turnaround reaction + live demos; often has early/preview access to new models
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Moonshot AI
Moonshot AI Chinese frontier AI lab. Founder Yang Zhilin (34, one of the "young Chinese billionaires" cluster per Hurun). Products branded Kimi . Load-bearing events - July 16th 2026 — releases Kimi k3 : "only slightly l
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Mythos-Class Models
[!note] 2026-07-07 addition — Shihipar's "field guide" framing Thariq Shihipar (Anthropic Claude Code MTS) at AI Engineer World's Fair 2026 (Field Guide to Fable (Thariq Shihipar, Anthropic)) reframes the Mythos-class ju
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Nate Herk (AI Automation)
Nate Herk (AI Automation) YouTube channel run by Nate Herkelman (channel's actual YouTube name is Nate Herk AI Automation ; filed here without the so wikilinks resolve by basename), focused on AI automation, agent toolin
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OpenAI
OpenAI AI lab. Maker of the GPT model family (GPT 5.2 is named in this wiki as the inflection point for full-job software engineering, per Ryan Lopopolo) and Codex (their coding agent + harness). Counterpart to Anthropic
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OpenClaw
OpenClaw Open-source personal AI agent created by Peter Steinberger in late 2025. Now one of the most-starred GitHub projects. Hub-and-spoke architecture centered on a Node.js Gateway, with adapters for Slack/iMessage/Wh
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Praveen Akkiraju
Praveen Akkiraju Managing Director at Insight Partners , investing across the agentic AI stack. Sees a wide cross-section of agent-native companies (e.g. Stampli, E2B) and enterprise deployments at scale. Recurring frami
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Printing Press
Printing Press A CLI factory + CLI library for AI agents, primarily targeting Claude Code. Two halves: 1. Library — ~50 pre-built CLIs (ESPN, Flight Goat, Movie Goat, Recipe Goat, Linear, Amazon, Craigslist, eBay, TikTok
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Prukalpa
Prukalpa Author of Context & Chaos (Substack); writes on enterprise data, context engineering, and the semantic layer that AI agents need to operate inside companies. Best known publicly as co-founder of Atlan , a data c
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Raymond Fu
Raymond Fu Veteran technologist, serial entrepreneur, and computer-science educator. Professor at California Science & Technology University (CSTU). Father to a CS-major daughter, which he frames as a motivating lens for
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Remnote
Remnote Note-taking + spaced-repetition app founded by Martin Schneider (MIT). Pitched as the operational answer to the Ebbinghaus Forgetting Curve: turn notes into flashcards in-line, schedule review at the right interv
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Ryan Lopopolo
Ryan Lopopolo Member of technical staff at OpenAI. Self-described token billionaire ( $1,000/day in output tokens). For the last nine months, has been building software exclusively with agents — has banned his team from
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Sam Altman
Sam Altman CEO of OpenAI. Champion of the voluntary public-equity fund idea — AI firms donating equity to seed a fund for the public — which Trump endorsed (see Government Equity in AI Labs). - Reportedly owns no equity
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Sandeep Swadia
Sandeep Swadia Creator of the theMITmonk YouTube channel. Self-described background per his videos: "From homeless to MIT grad, then CEO / board member / investor in technology companies worth billions" and "advising AI
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ServiceNow
ServiceNow Enterprise workflow-software company (NYSE: NOW ), led by chairman/CEO Bill McDermott ( @BillRMcDermott on X; contract extended through 2030). Single platform spanning ITSM / ITOM / HR / CSM, monetised histori
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Steven Brovich
Steven Brovich Amazon since August 1999 (~27 years). First half of career on the technology side; second half on people and culture ( "organisational culture is one of the primary reasons organisations are successful bey
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