Superseded: This page has been superseded by Missing Coverage — Residual (post-implementation, 2026-04-14) as of 2026-04-14. The bulk-coverage pass implemented roughly 135 of the missing pages enumerated below. Kept for historical reference.
Missing Coverage — Revised (items already added have been removed)
This page is a gap inventory: an enumeration of companies, people, models, legislation, concepts, and organizations that lacked dedicated pages as of the 2026-04-14 revision. Between the original version and this revision, a number of recommended additions were absorbed — Qwen3, Kimi K2, Alibaba, Huawei, CSET, CDAO, Heim, ICRC, Frontier Model Forum, Texas TRAIGA, Illinois SB 3444, DoD Directive 3000.09, the UK Data (Use and Access) Act, AI National Security, AI Deskilling, Semiconductor Supply Chain, Enterprise AI Deployment Gap, Deliberative Alignment, and associated source pages — and those entries have been removed below. The remaining list is still substantial.
Three structural gaps recur across categories. First, CEOs and politicians are largely absent: researchers are covered, but the executives and elected officials driving industry and policy are not. Second, Chinese AI coverage has grown from DeepSeek-only to DeepSeek, Qwen, Moonshot, and Huawei, but Zhipu, Baidu, ByteDance, SMIC, and ASML remain missing. Third, human-harm categories are the thinnest layer: the mental-health, deepfakes, copyright-concept, and elections gaps are unchanged.
Items are tagged by priority: ★★★ highest, ★★ second-tier, ★ lower. The consolidated priority order appears at the end.
People
Industry leadership (★★★)
- Sam Altman — OpenAI CEO
- Elon Musk — xAI founder, principal in the Colorado constitutional challenge
- Demis Hassabis — Google DeepMind CEO, Nobel laureate
- Jensen Huang — Nvidia CEO
- Mark Zuckerberg — Meta CEO
- Satya Nadella and Brad Smith — Microsoft CEO and President
- Liang Wenfeng — DeepSeek founder
- Ilya Sutskever — SSI founder; co-author of Scaling Laws and InstructGPT
- Mira Murati — Thinking Machines Lab founder; ex-OpenAI CTO
- Mustafa Suleyman — Microsoft AI CEO
- Kevin Scott — Microsoft CTO
Politicians and regulators (★★★)
- Gavin Newsom — CA Governor (signed SB 53, SB 243; vetoed SB 1047)
- Scott Wiener — CA state senator, sponsor of SB 1047 and SB 53
- Phil Weiser — CO AG, named defendant in xAI v. Colorado
- Donald Trump — signed EO 14365, America's AI Action Plan
- Joe Biden — signed EO 14110, shaped the AISI network
- David Sacks — Trump AI & Crypto Czar
- Michael Kratsios — OSTP Director
- JD Vance — delivered the US position at the Paris Summit
- Lina Khan and Andrew Ferguson — former and current FTC chairs
- Peter Kyle — UK Secretary for Science, Innovation and Technology
Researchers and scholars (★★)
- Geoffrey Hinton — Turing laureate, foundational AI-risk voice (Bengio has a page; Hinton does not)
- Yann LeCun — Meta Chief Scientist, Turing laureate, principal contrarian on existential risk
- Stuart Russell — UC Berkeley; Human Compatible; OECD co-chair
- Francesca Rossi — IBM; OECD co-chair
- Max Tegmark — FLI president; behind the Pause Letter
- Dan Hendrycks — CAIS director; co-author of Intro to AI Safety
- Chris Olah — Anthropic interpretability lead; Biology of an LLM traces to him
- Jack Clark — Anthropic co-founder, policy head
- Helen Toner — CSET (the Center has a page; Toner does not)
- Miles Brundage — ex-OpenAI policy head
- Dylan Patel — SemiAnalysis
- Gary Marcus — ongoing LLM skeptic
- Daniel Kokotajlo — lead author of AI 2027
Companies
Highest priority (★★★)
- Microsoft — OpenAI's largest partner and the absent Big Tech lab
- xAI — central to the Colorado lawsuit; no page despite Grok model coverage
- Zhipu AI (GLM)
- ByteDance / Doubao
- Baidu (ERNIE)
- SMIC — China's leading foundry
- SK Hynix, Samsung Semiconductor, Micron — the HBM oligopoly the semiconductor-supply-chain concept page depends on
- ASML — EUV monopoly; a primary export-control target
Defense and specialized (★★)
- Palantir — referenced in Clawed without a page
- Anduril — defense AI counterpoint to Anthropic's DoW posture
- Scale AI — data labeling and government AI
- Mistral AI — Europe's only frontier lab
- Cohere — Canadian enterprise AI
- Safe Superintelligence Inc. (SSI)
- Thinking Machines Lab
- Perplexity
- Character.AI and Replika — directly relevant to SB 243 and the mental-health gap
- Hugging Face
Hardware (★)
- AMD — primary Nvidia competitor
- Cerebras, Groq, SambaNova — specialist inference hardware
- Intel — reshoring and foundry strategy
Models
Highest priority (★★★)
- Grok (2 / 3 / 4) — xAI's flagship; central to the First Amendment lawsuit
- Llama 3 / Llama 4 — Meta's open-weight flagship series
- Qwen2.5 — precursor series (Qwen3 is covered)
- GLM-4 / GLM-4.5 — Zhipu frontier stack
- ERNIE 4 — Baidu flagship
- Mistral Large / Mistral Medium — Europe's frontier model
Legacy but cited throughout (★★)
- GPT-4 / GPT-4o / o1 / o3 — referenced frequently without model pages
- Gemini 2.5 Pro — bridge between Gemini 3 and earlier generations
- Claude 3 Opus — the subject of the Alignment Faking paper
- Claude 3.5 Haiku — the subject of Biology of an LLM
Specialized (★)
- AlphaFold 2 / 3 — Nobel-winning; DeepMind centerpiece
- o4-mini / o3 — Apollo deliberative-alignment test subjects
- Sora / Veo 3 — video generation; deepfake relevance
Legislation and regulation
Highest priority (★★★)
- TAKE IT DOWN Act — 2025 federal NCII/deepfake law
- OMB M-24-10 / M-24-18 — federal-agency AI governance memos; the post-EO-14110 federal regime
- Utah AI Policy Act (SB 149, 2024) — first US state AI disclosure law
State-level completeness (★★)
- New York Local Law 144 (NYC AEDT) — first US hiring-AI bias audit law
- Virginia HB 2094 — vetoed Feb 2025; Republican-led high-risk rejection
- Minnesota and Washington deepfake statutes — state-level synthetic-media laws
- California SB 942 (AI transparency), AB 3030 (healthcare AI disclosure), SB 896 (state-government generative-AI use)
International completeness (★)
- Canada AIDA (Bill C-27) — stalled but policy-relevant
- Brazil AI Bill (PL 2338/2023)
- South Korea AI Basic Act (2025) — first Asian AI framework law
- Japan AI Promotion Act and Australia voluntary AI Safety Standard
Concepts
Completely missing or stub-level (★★★)
- AI and Mental Health / AI Chatbots and Psychological Harm — the largest remaining content gap. Covered obliquely through SB 243 and Protecting the Wellbeing of Users; no concept page. Missing material includes Character.AI suicide cases, the Adam Raine / OpenAI lawsuit, parasocial attachment research, APA position statements, and FTC chatbot-minor inquiries.
- AI Environmental Impact (expansion) — a page exists but remains thin. Missing depth on grid strain (PJM, ERCOT), water consumption, gas-peaker restarts (Three Mile Island / Constellation), and data-center siting politics (Memphis xAI Colossus, Louisiana).
- Synthetic Media / Deepfakes — referenced throughout; no concept page.
- AI Copyright (concept) — the AI Copyright Litigation analysis page exists, but there is no concept page on fair use, training data, and licensing as a standalone axis.
- Catastrophic Risk vs. Systemic Risk vs. Existential Risk — all three terms are used without disambiguation.
- AI Alignment (unifying) — crystallize-session Priority 1; still paused.
Technical concepts cited but undefined (★★)
- Reasoning Models / Chain of Thought — assumed by multiple model pages
- Mixture of Experts (MoE) — DeepSeek-V3, Qwen3, and Kimi K2 are all MoE; no page
- Synthetic Data / Model-Generated Training Data
- Model Collapse
- Prompt Injection — core agentic-AI vulnerability
- Jailbreaking / Red Teaming
- Data Provenance / C2PA / Watermarking
- Multimodality
- Inference Economics / Token Pricing
- Context Length / Long Context
Policy and societal concepts (★★)
- AI Liability (concept) — the AI LEAD Act and Illinois SB 3444 exist as legislation; no concept page
- AI Regulatory Sandbox — Texas TRAIGA, the UK, and Singapore all feature this
- Algorithmic Accountability / Bias Audits — the core Colorado AI Act and NYC LL 144 concept
- AI Whistleblowing — SB 53 whistleblower protections; Aschenbrenner and Kokotajlo disclosures
- AI in Elections / Democratic Institutions
- AI in Education
- AI in Healthcare — the AMA and Lancet sources are ingested; the unifying concept page is not
- AI in Journalism / Media
- AI and Surveillance — facial recognition, biometric AI, state deployment
- AI Welfare / Model Welfare / Moral Patienthood — the Emotion Concepts paper raises it
- AI Safety vs. AI Ethics divide — crystallize-session priority
- AI Compliance Industry / Regulatory Fragmentation — also a crystallize-session priority
Infrastructure and economics (★)
- Data Center Siting / AI Power Politics — grid stress, community opposition, nuclear restart
- Training Data Walls
- Uplift (CBRN) — a threat model on the Preparedness Framework and RSP without its own page
- Jagged Frontier — Mollick's framing cited in multiple pages
- Sovereign AI (product concept) — distinct from AI Sovereignty as a governance concept
- Chip Smuggling / Export-Control Evasion
Organizations and institutions
CSET, CDAO, DIU, ICRC, and Frontier Model Forum have been added. Remaining:
Highest priority (★★★)
- CSIS — Gregory Allen / Wadhwani AI Center
- RAND — compute forecasting, national-security analysis (Heim is covered; RAND itself is not)
- Brookings Institution AI Initiative
- Alignment Research Center (ARC)
- Redwood Research — Greenblatt is covered; Redwood is not
- MIRI — Yudkowsky-adjacent; foundational to the existential-risk school
- Open Philanthropy — principal funder of AI safety
- Horizon Institute for Public Service
Second-tier (★★)
- Centre for the Governance of AI (GovAI) — Safety Cases for Frontier AI originates here
- Special Competitive Studies Project (SCSP) — Schmidt's organization
- Federation of American Scientists
- AI Now Institute — critical/ethics counterweight
- Partnership on AI — multi-stakeholder body
- DARPA — AI research program history
- CDEI / DSIT — UK Centre for Data Ethics / Department for Science, Innovation and Technology
- CNIL (France), ICO (UK), DPC (Ireland) — AI-adjacent data-protection regulators
- SemiAnalysis — Dylan Patel's firm
- AI Safety Institute network (INSAI / AISIN)
Revised priority order
- Sam Altman, Elon Musk, Gavin Newsom, Scott Wiener — the four most frequently cited people without pages
- Microsoft, xAI, Character.AI / Replika — the three companies whose absence most distorts existing coverage
- AI and Mental Health concept page plus Adam Raine case material — the largest remaining content gap
- Grok, Llama, GPT-4/4o/o1/o3, Claude 3 Opus, Claude 3.5 Haiku — model pages that existing content already assumes
- TAKE IT DOWN Act, Utah AI Policy Act, OMB M-24-10 — the three legislative gaps with the clearest policy salience
- AI Copyright, Deepfakes / Synthetic Media, and AI Environmental Impact expansion — three concept pages circling topics without pinning them
- CSIS, RAND, Open Philanthropy, MIRI, GovAI — the think-tank layer the discussion depends on
- Hinton, LeCun, Hassabis, Huang, Sutskever, Olah, Hendrycks, Toner — second-tier researcher and executive pages
- Reasoning, MoE, Multimodality, Prompt Injection, Jailbreaking, Red Teaming — technical-concept hygiene
- AI Alignment (unifying), AI Compliance Fragmentation, AI Safety vs. Ethics divide — the remaining crystallize-session items
Relationships
- supersedes: prior version of this page (2026-04-14 first pass)
- depends-on:
Wiki/_meta/lint-report.md, Wiki Synthesis: Seven Observations and Five Open Questions, Crystallize Session: Wiki Gaps & User Knowledge Map (2026-04-13) - related: Recommended New Sources for Raw Sources/ (2026-04-14) — many of the already-added items came from this list