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Everything on this site in one place: 1,082 pages, plus 17 talks, videos, papers and mentions that live on them, in 18 sections. Pick a view, or read straight down.
Also assitemap.xmlllms.txtllms-full.txtOKF site index
Guides 7
Open this view →Reference guides and interactive 3D teardowns.
Start hereAll guides (Teardowns)
Topics 48
Open this view →Every guide topic, each with a page listing the guides that carry it.
Start hereGuide topics, A to Z
0-9 · 1
E · 1
L · 1
O · 1
S · 8
Videos 3
Open this view →Talks, workshops and interviews you can watch now.
Awards & recognition 4
Open this view →Lists, credits and mentions, each worded the way its source words it.
- Named in Metehan Yeşilyurt's Best GEO and AEO Experts to Follow in 2026Metehan Yeşilyurt, 2026
- Cited in Clutch's guide to content gap analysisClutch, 2026
- Acknowledged as a contributor in Impressive's US Search Awards entry on ReserveBar's zero-loss SEO migrationUS Search Awards, 2026
- Listed in Plerdy's 41 Best San Diego SEO ExpertsPlerdy, 2022
Sessions 69
Open this view →The Conference Notebook: every keynote, talk and panel, by conference.
Show all 69
Start hereConference NotebookSEO Week 2026Botify Connect US 2024Tech SEO Connect 2024
SEO Week 2026 · 40
- Welcome & Opening RemarksMike King
- The Invisible, Converged Web: Architecting Visibility for the AI EconomyKrishna Madhavan
- Beyond the Million-Token Window: TurboQuant and RLM-on-KGAndrea Volpini
- F*CK it, I'll Do it MyselfMike King
- Build the Tool Your Team Actually Needs: A Product Thinking Playbook for SEOsNoah Learner
- From Vibes to Veteran: 7 Tips to Disaster-Proof Your CodeAnnie Cushing
- Prioritize Investments by Financial ImpactDale Bertrand
- HEO: The Hybrid Engine ScoreJori Ford
- Everything Is an Entropy Game: What Dies Between Retrieval and CitationMetehan Yeşilyurt
- Is AI Seeing the Brand You Think You've Built?Scott Stouffer
- From Showing Up to Winning: An IR & Systems-Level View of AI SearchJeff Coyle
- SEO is a Performance Channel, GEO Isn't. How Do You Pivot?Wil Reynolds
- SEOs Own Less Than We Think: The Influence Gap No One Trains You ForBianca Anderson
- The Death of the Middleman: Why 'Good Enough' AI is Killing Traditional MarketingJohn Doherty
- Run Persona Run: A Year in the Life of Me, Myself, and AIGarrett Sussman
- Navigating the Fractured Funnel & the Rise of Delegated ChoiceAzeem Ahmad
- Managing the FUD Out of ChangeBrittan King
- Trifecta Content — Pages That Drive Rankings, Visibility & EngagementAmanda Milligan
- Quality Wins: How to Scale AI Content Without Losing What Makes It WorkAlex Halliday
- Teach The Sh*t Out Of EverythingIan Lurie
- I Have a Degree for This: Reclaiming Expertise in an AI-Mandated WorldAngela Clark
- Inception: Plant Your Brand Into the Memory Layer of Every LLMRoss Simmonds
- 7 Small Creative Changes That Lead to BIG Discovery WinsCarrie Rose
- Inside the LLM Black Box: How to Gain AI VisibilityBrie Moreau
- Watch the Party Die: Engineering 'Answerability' for Prospective StudentsRay Martinez
- What TikTok Shop Can Teach SEOs About Content That's Seen and ConvertsAngela Skane
- Your Competitors Are Still Prompting. You Could Be Building.Sam Torres
- Deception, Distinction, and DirectivesBrian Cosgrove
- The Truth About Google Discover: What Works, What Doesn't, What's ChangingJohn Shehata
- We Had One Job (& It Wasn't Rankings)Brie Anderson
- Why You Need a Relevance Engineer Driving the CarZach Chahalis
- Beyond the Click: How to Shape What AI Says About Your BrandJames Cadwallader
- Two Studies, 38 Million Data Points & the Blind Spot in Every AI Search StudyChristian Ward
- Working Through a Google DropIlana Gershteyn
- SEO vs GEO: Semantic Success SecretsRyan Jones
- When Agents Fuel the Funnel: Optimizations for the New Validation LayerCrystal Carter
- One Day, Your Mom Will Be an Agent: How Work and Life Are Changing with AIPaul Shapiro
- Earned Architecture for AI VisibilityJordan Leschinsky
- Building a Modern Digital Marketing Engine (and Career)Ruth Burr Reedy
- Making the Impossible PossibleLisa Paasche
Botify Connect US 2024 · 11
- From Evolution to Revolution: The Role of Generative AI in Life & SearchA.J. Ghergich
- Traditional vs Gen AI Search: Everything You Need to KnowDalton Finney
- The Inside Perspective on Modern SearchFabrice Canel
- Speed Ahead to Stay Ahead: Brand Success Strategies & the Power of AutomationAnthony Cantelmo
- Protect Today's Progress & Prepare for Tomorrow with BotifyChristophe Frenet
- Beyond Search: How Customer Experience Is AdaptingGreg Coleman
- The Power of Organic: How Organizations Use Search as a StrengthCharley Hackerson
- Successful Site Migrations: Automation, Advice, & Future-Proofing Your SiteZach Chahalis
- Uniting Search, SEOs, & the C-SuiteKrista Dalton
- How Google's AI Overviews Are Changing Consumer BehaviorsRay Grieselhuber
- Predictions for Search & How to Prepare TodayA.J. Ghergich
Tech SEO Connect 2024 · 18
- Optimizing Core Web VitalsRick Viscomi
- NPath: Leveraging LLMs to Extract Insights from GA4 Event DataJR Oakes
- Getting Technical SEO Work Done at Fortune 100 CompaniesKevin Indig
- Gaining Velocity: Building SEO into a Continuous Development ProcessRachel Anderson
- Improving SEO in Cloud EnvironmentsFili Wiese
- Rolling Your Own Rank Tracking SolutionPaul Shapiro
- Chasing the Googlebot TrailJori Ford
- When is Cloaking a Good Idea?Victor Pan
- Microsoft Bing — SEO for the AI EraFabrice Canel
- How to Incorporate Machine Learning Into Your SEO Day-to-DayLazarina Stoy
- Automating Marketing Tasks With AIKristin Tynski
- Accounting for Gaps in SEO SoftwareMichael King
- The Shift in Search Engines to Answer EnginesDan Hinckley
- AI + Me: How We Built a GSC Bulk Export Data PipelineNoah Learner
- Can GSC Be the Source of SEO Decisions?Serge Bezborodov
- BigQuery for SEOsSam Torres
- What I Learned From Auditing Over 1,000,000 WebsitesPatrick Stox
- The State of Technical SEO in 2024Aleyda Solis
Talks 8
Open this view →Talks, workshops, podcasts and interviews.
Start hereResearch and talks
Talks and workshops · 3
Podcasts and interviews · 4
- SEO BytesInterview, Botpresso, 2026
- Enterprise AI SEO: Automation Pipelines, MCPs, and Future ProofingInterview, AI SEO Show, 2025
- Trends and Takeaways from BrightonSEO - San Diego 2024 SEO ConferencePodcast, Opinionated SEO podcast, 2024
- Episode 39: SEO Success Stories - Talking SEO with Venkata Pagadala of Apartments.comInterview, Impressive Digital, 2024
Research papers 3
Open this view →Published papers and the research hub.
Start herePublicationsResearch
- The Disruption of Search Engine Optimization by Large Language Models: A Mixed-Methods Analysis of the Evolving Search LandscapeSSRN, 2026
- Google, SEO and Helpful Content: How Artificial Intelligence Can Be Helpful for E-Commerce WebsitesJournal of Digital & Social Media Marketing, 2024
- A survey of reward hacking in agentic large language model systemsDiscover Artificial Intelligence, 2026
Main pages 8
Open this view →Home, about, experience and the site's front doors.
Personas 37
Open this view →Audience personas backed by published research, and the persona tools.
Start hereAudience personas
Personas · 1
Questions the data answers · 32
- Who Uses YouTube? US Demographics 2025
- Who Uses Facebook? US Demographics 2025
- Who Uses Instagram? US Demographics 2025
- Who Uses TikTok? US Demographics 2025
- Who Uses WhatsApp? US Demographics 2025
- Who Uses Reddit? US Demographics 2025
- Who Uses Snapchat? US Demographics 2025
- Who Uses X? US Demographics 2025
- Who Uses Threads? US Demographics 2025
- Who Uses Bluesky? US Demographics 2025
- Who Uses Truth Social? US Demographics 2025
- How Many People Use Facebook?
- How Many People Use YouTube?
- How Many People Use TikTok?
- How Many People Use Instagram?
- How Many People Use Snapchat?
- How Many People Use X?
- How Many People Use Reddit?
- How Many People Use Threads?
- Who Gets News From AI Chatbots?
- Who Gets News From Social Media?
- Who Gets News From Search Engines?
- Who Gets News From News Sites and Apps?
- Who Gets News From Television?
- Who Gets News From Podcasts?
- Who Gets News From Email Newsletters?
- Who Gets News From Radio?
- Who Gets News From Print?
- How Many Americans Have No Home Broadband?
- Who Has Home Broadband in the US?
- Who Uses the Internet in the US?
- Who Owns a Smartphone in the US?
AI Notebook 5
Open this view →The AI and business notebooks: roadmap, statistics and the book shelf.
Start hereNotebooks
AI Encyclopedia 187
Open this view →Every AI concept, one page each, by category.
Show all 187
Start hereAI Encyclopedia
Core ML Concepts · 34
- Artificial Intelligence (AI)
- Machine Learning (ML)
- Supervised Learning
- Unsupervised Learning
- Neural Network
- Deep Learning
- Features & Labels
- Overfitting & Underfitting
- Classification vs Regression
- Training vs Inference
- Linear Regression
- Data · The Fuel of AI
- Decision Trees & Random Forests
- Evaluation Metrics & Cross-Validation
- Symbolic AI & Expert Systems
- Logistic Regression
- Exploratory Data Analysis (EDA)
- k-Nearest Neighbors (kNN)
- Naive Bayes
- Data Science vs ML vs AI
- Narrow AI vs Strong AI
- Bias-Variance Tradeoff
- Transfer Learning
- Regularization
- Few-Shot & Zero-Shot Learning
- Semi-Supervised Learning
- Time Series Forecasting
- Support Vector Machines (SVM)
- Data Leakage
- Data Augmentation
- Self-Supervised Learning
- Continual Learning & Catastrophic Forgetting
- Meta-Learning (Learning to Learn)
- Causal Inference & ML
Math & Optimization · 18
- Gradient Descent
- Loss Function
- Activation Functions
- K-Means Clustering
- Linear Algebra for ML
- Probability & Bayes' Theorem
- Backpropagation
- Embeddings
- Dimensionality Reduction
- Feature Engineering
- Anomaly Detection
- Boosting (XGBoost, LightGBM)
- Information Theory: Entropy & KL Divergence
- Optimizers: SGD, Momentum & Adam
- Evolutionary & Swarm Optimization
- Bayesian ML & Uncertainty
- Monte Carlo Methods
- Probabilistic Graphical Models & HMMs
Architectures · 21
- Transformer Architecture
- Attention Mechanism
- Self-Attention
- Convolutional Neural Network (CNN)
- Recurrent Neural Network (RNN)
- LSTM (Long Short-Term Memory)
- GPT (Generative Pre-trained Transformer)
- BERT (Bidirectional Encoder)
- Residual Connections & ResNet
- Normalization Layers (BatchNorm to RMSNorm)
- Autoencoders
- State Space Models (Mamba)
- Vision Transformer (ViT)
- Multimodal Models
- Knowledge Distillation
- Model Quantization & Compression
- Neural Architecture Search (NAS)
- Neuro-Symbolic AI
- Mixture-of-Experts (MoE)
- Graph Neural Networks (GNNs)
- Positional Encoding & RoPE
NLP & Language · 26
- Natural Language Processing (NLP)
- Tokenization
- Prompt Engineering
- Sentiment Analysis
- Bag-of-Words & TF-IDF
- Large Language Models (LLMs)
- Word2Vec & Word Embeddings
- Retrieval-Augmented Generation (RAG)
- Chain-of-Thought Reasoning
- Vector Databases
- Context Window & Long Context
- Text Generation & Sampling
- Machine Translation
- Named Entity Recognition (NER)
- Reasoning Models & Test-Time Compute
- Context Engineering
- Speech Recognition (ASR) & Whisper
- LoRA & Parameter-Efficient Fine-Tuning
- Open-Weights & Small Language Models
- Text Summarization
- Topic Modeling
- Information Extraction
- Fine-Tuning LLMs
- LLM Scaling Laws
- RLHF (Reinforcement Learning from Human Feedback)
- DPO & Preference Optimization
Computer Vision · 10
Generative AI · 12
Reinforcement Learning · 11
- Reinforcement Learning (RL)
- Q-Learning & Deep Q-Networks (DQN)
- Markov Decision Process (MDP)
- Policy Gradient & Actor-Critic
- PPO (Proximal Policy Optimization)
- Reward Design & Reward Hacking
- Multi-Agent Reinforcement Learning
- World Models
- Sim-to-Real Transfer
- Inverse Reinforcement Learning
- GRPO (Group Relative Policy Optimization)
MLOps & Infrastructure · 20
- GPU & TPU Computing
- Experiment Tracking
- The AI Stack
- ML Frameworks (PyTorch, TensorFlow, JAX)
- AI Platforms
- Model Deployment & Serving
- MLOps (ML Operations)
- Data Pipelines & ETL
- Edge AI & On-Device ML
- Model Versioning & Registry
- ML Monitoring & Observability
- LLM Evaluation & Benchmarks
- Hyperparameter Tuning
- AI Data Centers & the AI Factory
- Inference Cost & Token Economics
- Federated Learning
- Distributed Training
- Inference Optimization
- Quantum Machine Learning
- Numerical Precision & Mixed-Precision Training
AI Agents & Applications · 20
- AI for Creative Industries
- Enterprise AI
- Vibe Coding
- AI Agents
- Tool Use & Function Calling
- Recommendation Systems
- Explainable AI (XAI)
- AI-Powered Search & Ranking
- Conversational AI & Chatbots
- Model Context Protocol (MCP)
- Computer Use & Browser Agents
- Agentic Coding
- Multi-Agent Systems & Orchestration
- Autonomous Vehicles & Robotics
- AI-Driven Drug Discovery
- AI in Healthcare & Medical Imaging
- Vision-Language-Action Models
- Agent Memory, Planning & Reflection
- Agent Harnesses & Scaffolding
- Agent-to-Agent Protocols (A2A)
Safety, Ethics & Governance · 15
- AI Hallucinations
- AI Regulation & Governance
- AI Safety
- Responsible AI
- AI Alignment
- AI Bias & Fairness
- Red Teaming AI Systems
- Prompt Injection & Jailbreaking
- AI Watermarking & Content Detection
- AGI (Artificial General Intelligence)
- Superintelligence (ASI)
- Technological Singularity
- Mechanistic Interpretability
- Constitutional AI & RLAIF
- Differential Privacy & ML Privacy
AI Systems Map 455
Open this view →Every entity in the AI value chain, one page each, by layer.
Show all 455
Start hereAI Systems MapAI Systems Map: graph view
Frontier labs & models · 123
- AI21 Labs
- Alibaba Qwen (Tongyi)
- Amazon AGI (Nova)
- Anthropic
- Baidu ERNIE
- Claude (Opus / Sonnet)
- Cohere
- DeepSeek
- DeepSeek-V3 / R1
- Gemini
- Google DeepMind
- GPT-5 / o-series
- Grok
- Llama
- Meta AI (FAIR)
- Microsoft AI (MAI)
- Mistral AI
- Mistral Large
- Nvidia Research
- OpenAI
- Perplexity AI
- PyTorch
- Qwen
- Reka AI
- Safe Superintelligence (SSI)
- Tesla AI / xAI compute (Colossus)
- Thinking Machines Lab
- Training Data & Web Corpus
- Scale AI
- Surge AI
- Mercor
- Common Crawl
- NYT v. OpenAI/Microsoft (copyright)
- Reddit / content licensing deals
- Hugging Face
- LangChain / LangGraph
- Model Context Protocol (MCP)
- Cursor (Anysphere)
- GitHub Copilot
- Harvey AI
- OpenEvidence
- Abridge / ambient clinical AI
- JPMorgan (LLM Suite / financial AI)
- Bloomberg / financial-data AI
- Sierra (Bret Taylor)
- LMArena (Chatbot Arena)
- Epoch AI
- Agentic AI / autonomous workflows
- Reverse-acquihire / talent deals
- Anthropic capital stack (Amazon/Google)
- OpenAI PBC restructuring
- Humanoid / physical AI (Figure, Tesla Optimus)
- Waymo / autonomous driving
- Windsurf / GitHub Copilot / coding agents
- Midjourney / image-video gen
- ElevenLabs (voice AI)
- Frontier evals & benchmarks
- Synthetic data & distillation
- AI-native consumer hardware
- JAX / XLA
- SGLang
- JAX
- Licensed & proprietary data deals
- Agent interop protocols (A2A / AGNTCY)
- Agent frameworks (LangChain, LlamaIndex, etc.)
- Vector databases
- Evaluation & benchmark infrastructure
- AI security & guardrails
- MLOps / experiment & observability
- AI coding agents & IDEs
- Defense & government AI
- Robotics & physical AI (VLA models)
- Cognition (Devin)
- Glean
- Palantir AIP
- Surge AI / Mercor (expert data)
- AI Copyright Litigation (NYT et al.)
- SWE-bench / Evaluation Benchmarks
- Anduril / Defense AI
- Figure / Humanoid Robotics
- Apple Intelligence / On-Device AI
- ChatGPT (Consumer Distribution)
- AI Talent Market / Researcher Comp
- Agent Orchestration Frameworks
- AI Observability & Evaluation
- AI Safety, Guardrails & Red-Teaming
- Content & IP Licensing Deals
- Vertical & Agentic Benchmarks
- Moonshot AI (Kimi)
- Zhipu AI (Z.ai / GLM)
- MiniMax
- StepFun (Jieyue Xingchen)
- 01.AI (Yi)
- Tencent Hunyuan
- ByteDance Doubao / Seed
- iFlytek Spark
- Kimi K2
- GLM-4.6
- ERNIE 4.5 / X1
- Huawei MindSpore
- Baidu PaddlePaddle
- DeepSeek R2 / V3.x
- Preferred Networks (PFN)
- Sakana AI
- Aleph Alpha
- Black Forest Labs
- UK AI Safety Institute (AISI)
- Content Licensing & Copyright Regime
- Swiss AI Initiative (ETH/EPFL, Apertus)
- DeepSpeed / Megatron
- FlashAttention
- Transformer / MoE Architecture
- MLPerf (MLCommons)
- Frontier Evals (MMLU, GPQA, SWE-bench, ARC-AGI, HLE)
- Curated Pretraining Corpora (FineWeb, DCLM, The Stack, RedPajama)
- Surge AI / Mercor / Turing (frontier data labor)
- METR
- Frontier Safety Frameworks (RSP / Preparedness / FSF)
- Alignment Methods (RLHF, Constitutional AI, DPO)
- PyTorch Foundation (Linux Foundation)
- AI Safety & Interpretability Research (ARC, Redwood, Apollo)
- AI Coding Assistants (Cursor, Copilot, Windsurf, Claude Code)
- Enterprise & Vertical AI (Palantir, Glean, Harvey, Sierra, Abridge)
Cloud & compute · 32
- Amazon Web Services (AWS)
- Microsoft Azure
- Crusoe Energy
- Fireworks AI
- Google Cloud (GCP)
- Lambda (Lambda Labs)
- Meta (AI Infrastructure)
- Nebius Group
- Model-lab compute contracts
- Oracle Cloud Infrastructure (OCI)
- Scaleway
- Together AI
- Vultr
- Databricks
- Snowflake (Cortex)
- Palantir Technologies
- ServiceNow
- Salesforce Agentforce
- SAP (Joule / Business AI)
- vLLM
- Inference economics / token deflation
- Model routers & inference marketplaces
- vLLM / Inference Serving Stack
- OpenRouter / Model Gateways
- Inference Economics / Token Margins
- Enterprise Data Cloud (Snowflake/Databricks)
- Alibaba Cloud (Aliyun)
- Tencent Cloud
- ByteDance Volcano Engine
- Huawei Cloud
- Nscale
- llama.cpp / Ollama / GGUF (edge inference)
Accelerators & chips · 54
- AMD
- Ampere Computing
- Arm Holdings
- AWS Trainium / Inferentia
- Cerebras Systems
- d-Matrix
- Etched
- Google TPU
- Groq
- Intel
- Marvell Technology
- Meta MTIA
- Microsoft Maia
- Nvidia
- CUDA / software moat
- Nvidia Data-Center GPU (Blackwell/Rubin)
- SambaNova Systems
- Tenstorrent
- Tesla Dojo
- Nvidia Vera Rubin platform
- NCCL (NVIDIA Collective Comms)
- NVIDIA TensorRT-LLM / Dynamo
- MLIR / OpenXLA / StableHLO
- NCCL / RCCL collectives
- PCIe / CXL
- ONNX
- On-device / edge inference (NPUs, GGUF)
- KV-cache & inference memory tiering
- Qualcomm (Edge AI / NPU)
- Huawei Ascend (910B/910C)
- Huawei CANN
- Cambricon
- Biren Technology
- Moore Threads
- Enflame (Suiyuan)
- Hygon (Haiguang)
- Huawei CloudMatrix 384
- Nvidia H20 (China-spec)
- HiSilicon (Huawei)
- Baidu Kunlun (Kunlunxin)
- T-Head (Alibaba PingTouGe)
- RISC-V (China adoption)
- Fujitsu (Fugaku / MONAKA / Arm HPC)
- Renesas Electronics
- SoftBank Compute / Izanagi & Arm AI
- MediaTek
- Hyperscaler Custom-ASIC Shift
- Infineon Technologies
- STMicroelectronics
- NXP Semiconductors
- Arm Neoverse / CSS server IP
- Graphcore
- Triton (OpenAI)
- Nvidia NeMo / NIM / Dynamo
Foundries & packaging · 30
- Amkor Technology
- ASE Technology (ASE Group / SPIL)
- TSMC CoWoS (Chip-on-Wafer-on-Substrate)
- GlobalFoundries
- Intel Foundry
- Samsung Foundry
- SMIC (Semiconductor Manufacturing International Corp)
- TSMC SoIC (System-on-Integrated-Chips)
- TSMC (Taiwan Semiconductor Manufacturing Company)
- TSMC N2 (2nm, GAA)
- TSMC Arizona (Fab 21)
- UMC (United Microelectronics Corporation)
- Panel-level / glass-substrate packaging
- Advanced packaging capacity (US/Japan)
- Rapidus
- TSMC N3 (3nm)
- SMIC N+2 (7nm-class, DUV)
- JCET (advanced packaging)
- Shinko Electric Industries
- Toppan / DNP Photomasks
- KYEC (King Yuan Electronics)
- Powertech Technology (PTI)
- Tongfu Microelectronics
- PSMC (Powerchip)
- Vanguard (VIS)
- TSMC Advanced Packaging Fabs (AP7/Chiayi)
- TSMC Japan (JASM Kumamoto)
- TSMC Fab 25 / Baoshan (N2 ramp)
- TSMC 3DFabric / InFO
- US Advanced-Packaging Gap
Equipment, EDA & memory · 45
- Advantest
- Applied Materials
- ASML Holding
- Cadence Design Systems
- Canon & Nikon Lithography
- Cymer (ASML light source)
- DRAM
- EUV Lithography (13.5nm)
- High-Bandwidth Memory (HBM)
- HBM4
- Kioxia
- KLA Corporation
- Lam Research
- Micron Technology
- NAND Flash
- Samsung Electronics (Memory)
- SCREEN Holdings
- Siemens EDA (Mentor)
- SK Hynix
- SMEE (Shanghai Micro Electronics)
- Synopsys
- Teradyne
- Tokyo Electron (TEL)
- TSV / Die Stacking
- Carl Zeiss SMT
- HBM lithography bonding (hybrid bonding)
- BE Semiconductor (Besi)
- EV Group
- imec
- Semiconductor skilled labor
- CXMT (ChangXin Memory)
- YMTC (Yangtze Memory)
- SMEE / SiCarrier lithography effort
- AMEC (Advanced Micro-Fabrication)
- NAURA Technology
- Empyrean / domestic EDA
- DISCO Corporation
- Lasertec
- Ebara Corporation
- Kokusai Electric
- UCIe (chiplet interconnect)
- Alchip / GUC (ASIC design services)
- ASML High-NA EUV (EXE:5000/5200)
- TRUMPF
- ASM International
Materials & minerals · 39
- Advanced Packaging Substrates (ABF)
- China Ministry of Commerce (MOFCOM)
- Cobalt
- Copper
- Gallium
- Germanium
- GlobalWafers
- HALEU Enrichment Fuel
- Ibiden
- JSR Corporation
- Neon Gas
- Photoresist
- Rare Earth Elements
- Shin-Etsu Chemical
- Silicon Wafers
- Siltronic
- SK Siltron
- Specialty & Electronic Gases
- SUMCO Corporation
- Tokyo Ohka Kogyo (TOK)
- Tungsten
- Ukraine Neon Supply
- Molybdenum & PFAS coolant fluids
- Unimicron / ABF substrate makers
- Ajinomoto Build-up Film (ABF)
- Lithium
- Dielectric coolant fluids (fluorochemicals)
- Epic / Clinical EHR Data
- Financial Market & Reference Data
- HOYA (EUV Mask Blanks)
- Resonac (CMP slurry & packaging materials)
- Fujimi Incorporated
- Daikin (Fluoropolymers & Etch Gases)
- AGC / Tosoh (EUV blanks & sputtering targets)
- Nan Ya PCB
- Shinko Electric
- AT&S
- Lead-frame & bonding-wire supply (Chang Wah)
- Soitec
Energy, infrastructure & capital · 132
- Andreessen Horowitz (a16z)
- Amazon
- Arista Networks
- AI Infrastructure Partnership
- Bloom Energy
- Broadcom
- China (industrial policy & retaliation)
- CHIPS and Science Act
- Cisco
- Coherent
- Constellation Energy
- CoreWeave (financing)
- CoreWeave Data Centers
- Digital Realty
- Equinix
- EU AI Act
- EU Chips Act
- Foxconn (Hon Hai)
- G42
- GE Vernova
- Google / Alphabet
- HUMAIN
- Immersion Cooling
- InfiniBand (NVIDIA Quantum)
- InnoLight (Eoptolink peer)
- Japan (METI / Rapidus)
- Kairos Power
- Liquid Cooling
- Lumentum
- MGX
- Microsoft
- Natural Gas Power
- Netherlands (Dutch export controls)
- Nuclear Power (incl. SMRs)
- NuScale Power
- Spectrum-X / Ethernet-for-AI
- NVLink / NVSwitch
- Oklo
- OpenAI capital stack
- Electricity Grid & Utilities
- QTS Data Centers
- Solar, Wind & Grid Storage
- Saudi PIF
- South Korea (K-Chips / HBM policy)
- SoftBank Group
- Stargate Project
- Switch
- Taiwan (geopolitical concentration risk)
- Taiwan Strait / geopolitical flashpoint
- TerraPower
- Grid Transformers & Switchgear
- US Export Controls (BIS)
- Vantage Data Centers
- Vertiv
- Vistra Corp
- Water & thermal resource supply
- X-energy
- xAI (capital raises)
- European sovereign AI (Mistral/Aleph Alpha)
- US AI Safety Institute (CAISI/NIST)
- US AI policy (2025 EO / AI Action Plan)
- CFIUS / outbound investment screening
- Private credit / AI infra debt
- GPU-backed SPV / neocloud financing
- Nvidia-OpenAI / circular vendor financing
- AI capex super-cycle (hyperscaler spend)
- AI electricity demand / grid strain
- FTC/DOJ + EU AI antitrust scrutiny
- AI liability & insurance market
- GPU gray market / diversion
- Ultra Ethernet / UALink consortia
- UALink Consortium
- Coolant Distribution Units & cold plates
- Supermicro / ODM system integrators
- On-site datacenter power generation
- Siemens Energy
- Water & cooling resource constraints
- AI Safety Institutes (US CAISI / UK AISI)
- Sovereign AI programs
- Datacenter debt & structured finance
- Copyright & AI litigation
- Retimers & connectivity silicon (Astera, Credo)
- Co-packaged optics & silicon photonics
- Neocloud Debt Financing / GPU-backed Credit
- Vendor-Circular Investment Loop
- Grid Interconnection Queue
- China AI Chip Market / H20 & Domestic Substitution
- Healthcare & Life Sciences AI
- Financial Services AI
- Defense & National Security AI
- Retail & E-commerce AI
- Manufacturing & Industrial AI
- Legal AI
- Energy & Utilities AI
- Agriculture AI (AgTech)
- Public Sector & Government AI
- Systems Integrators & Consultancies
- NIST AI Risk Management Framework
- ISO/IEC 42001 AI Management
- HIPAA / BAA Compliance Regime
- FDA SaMD / AI Device Clearance
- Sectoral Regulators (EU MDR, Basel, ITAR)
- AI Liability & Insurance
- National IC Fund (Big Fund III)
- MIIT (Ministry of Industry & IT)
- 'Eastern Data, Western Compute'
- China REE / Gallium-Germanium Export Controls
- Sugon (Dawning)
- Sony Semiconductor (CMOS Image Sensors)
- NTT / IOWN (All-Photonics Network)
- Murata Manufacturing
- JERA / Japan Grid & LNG Power
- Wiwynn
- Quanta Computer
- Wistron
- Foxconn / Hon Hai (AI servers)
- Inventec
- Delta Electronics
- Lite-On Technology
- Auras / AVC / Cooler cluster (Taiwan thermal)
- Taiwan Power & Water Constraint (Taipower)
- Bosch (Robert Bosch GmbH)
- EU AI Act GPAI Code of Practice
- European AI Office
- JUPITER Exascale Supercomputer
- EuroHPC Joint Undertaking
- EU AI Factories & Gigafactories
- Mistral Compute / Essonne datacenter
- ASML–Mistral strategic stake
- Schneider Electric
- EU AI Continent Action Plan / InvestAI
- US AI Safety Institute / CAISI (NIST)
AI Contributors 100
Open this view →The people building AI, in ranked order.
Show all 100
Start hereAI Contributors
- Geoffrey Hinton#1
- Yoshua Bengio#2
- Yann LeCun#3
- Demis Hassabis#4
- Andrew Ng#5
- Ilya Sutskever#6
- Dario Amodei#7
- Sam Altman#8
- Fei-Fei Li#9
- Andrej Karpathy#10
- Jensen Huang#11
- Ian Goodfellow#12
- Jeff Dean#13
- Noam Shazeer#14
- Alec Radford#15
- Jürgen Schmidhuber#16
- Stuart Russell#17
- Pieter Abbeel#18
- David Silver#19
- Oriol Vinyals#20
- Percy Liang#21
- Sebastian Thrun#22
- Jeremy Howard#23
- Kai-Fu Lee#24
- Timnit Gebru#25
- John Schulman#26
- Margaret Mitchell#27
- Clément Delangue#28
- Satya Nadella#29
- Mark Zuckerberg#30
- Sundar Pichai#31
- Elon Musk#32
- Michael I. Jordan#33
- Christopher Manning#34
- John Hopfield#35
- Mustafa Suleyman#36
- Daniela Amodei#37
- Alexandr Wang#38
- Cassie Kozyrkov#39
- Eliezer Yudkowsky#40
- Aidan Gomez#41
- Arthur Mensch#42
- Lex Fridman#43
- Mira Murati#44
- Ashish Vaswani#45
- Lilian Weng#46
- Quoc V. Le#47
- Sergey Levine#48
- Chelsea Finn#49
- Sara Hooker#50
- Chris Olah#51
- Douwe Kiela#52
- Daphne Koller#53
- Gary Marcus#54
- Yejin Choi#55
- Kaiming He#56
- Ross Girshick#57
- Aravind Srinivas#58
- Liang Wenfeng#59
- Robin Li#60
- Zhilin Yang#61
- Yi Zeng#62
- Raia Hadsell#63
- Daniela Rus#64
- Jitendra Malik#65
- Sébastien Bubeck#66
- Arvind Narayanan#67
- Jason Wei#68
- Wang Xingxing#69
- Pascale Fung#70
- Jared Kaplan#71
- Harrison Chase#72
- Bernhard Schölkopf#73
- Jan Leike#74
- Jakub Pachocki#75
- Tristan Harris#76
- Abeba Birhane#77
- Shengjia Zhao#78
- Sasha Luccioni#79
- Nathan Lambert#80
- Tri Dao#81
- Guillaume Lample#82
- Hugo Touvron#83
- Mark Chen#84
- Tom Brown#85
- Rene Haas#86
- Bill Dally#87
- Amnon Shashua#88
- Alexandr Zhavoronkov#89
- Pushmeet Kohli#90
- François Chollet#91
- Aleksander Mądry#92
- Dawn Song#93
- Anca Dragan#94
- Thomas Wolf#95
- Kyunghyun Cho#96
- Shakir Mohamed#97
- Emily Bender#98
- Albert Gu#99
- Joelle Pineau#100
AI Updates 14
Open this view →AI news with primary sources, newest first.
Start hereAI Updates
- An Anthropic Researcher Resigned. His Alignment Lead Publicly Agreed With Him.2026-09-09
- NVIDIA to Acquire Hugging Face for $12.93 Billion2026-09-03
- The Rise of AI Agents: A $2.5 Billion Week and the Numbers Behind It2026-09-03
- Stripe Agrees to Buy AI Model Router OpenRouter for More Than $7 Billion2026-08-16
- NVIDIA Puts $5 Billion Into Ilya Sutskever's Safe Superintelligence2026-07-27
- Court Gives Final Approval to Anthropic's $1.5 Billion Author Settlement2026-07-20
- Andrej Karpathy Joins Anthropic's Pre-Training Team2026-05-19
- NVIDIA NemoClaw: Secure, Always-On AI Agents With One Command2026-03-16
- NVIDIA Vera Rubin Platform: Seven Chips, Five Racks, One AI Supercomputer2026-03-16
- Dynamo 1.0: NVIDIA's Operating System for AI Factories Enters Production2026-03-16
- NVIDIA Launches Nemotron Coalition: Open Frontier Models With Mistral, Cursor, Perplexity2026-03-16
- NVIDIA-Powered Robotaxis to Launch With Uber Across 28 Cities by 20282026-03-16
- NVIDIA DLSS 5: Fusing 3D Graphics With Generative AI — 'The GPT Moment for Graphics'2026-03-16
- GTC 2026 Keynote: Jensen's Big Numbers — $1T Demand, 40M× Compute, Agentic AI Era2026-03-16
Insights 28
Open this view →Essays on AI, search and systems, by pillar.
Start hereInsights
AI Agents & Automation for SEO · 9
- AI Agents & Automation for SEO: overview
- MCP + A2A: The Future of AI Agent Communication
- Claude Code Pipelines in Production
- AI Agents Reshaping Enterprise Search
- Knowledge Graphs for Enterprise SEO: From Raw Queries to Structured Intelligence
- Context Graphs: The Next Evolution Beyond Knowledge Graphs in Search
- A2A (Agent-to-Agent): How Autonomous AI Agents Are Replacing SEO Workflows
- MCP (Model Context Protocol): Connecting LLMs to Your SEO Infrastructure
- Interactive 3d Hvac Troubleshooter
AI & Machine Learning for Search Optimization · 7
- AI & Machine Learning for Search Optimization: overview
- Building RAG Engines for Enterprise SEO
- Knowledge Graph: 1 Industry, 5 Million+ Queries
- Topic Clustering with AI at Scale
- LLM-Optimized Content Strategy
- The Intersection of AI and Search
- RAG vs. Knowledge Graphs: When to Use What for Enterprise Search
Enterprise Technical SEO at Scale · 3
Editorial SEO & Content Strategy · 3
Answer Engine Optimization (AEO) · 3
Speakers 78
Open this view →Every speaker in the Conference Notebook, A to Z.
Show all 78
A · 12
B · 5
C · 8
D · 4
J · 10
K · 4
R · 9
S · 4
T · 1
V · 1
Solutions 6
Open this view →What I build and deliver.
Start hereSolutions
For machines 7
Open this view →Machine-readable files for search engines and AI agents.