103 thinkers, books, and ideas connected to this field.
American scientist and research strategist — who works on accelerating scientific research through better tools and organization — associated with AI and neuroscience research communities.
Greg Kohs's 2017 documentary following DeepMind's AlphaGo system as it defeats 18-time world champion Lee Sedol in the board game Go — a milestone moment in AI development — exploring what it means for a machine to master humanity's most complex game.
Philosopher and AI researcher at Anthropic who works on AI alignment and character — particularly the design of Claude's values, personality, and approach to difficult conversations — previously at OpenAI and known for work on RLHF and AI character.
American technology and commerce company founded by Jeff Bezos in 1994 as an online bookstore that became the world's largest e-commerce company, the dominant cloud infrastructure provider, and a major media, AI, and logistics company.
Slovak-Canadian AI researcher — co-founder of OpenAI — who led AI at Tesla (Autopilot) — who left OpenAI, joined Tesla, left Tesla, briefly rejoined OpenAI, and now focuses on AI education — the most influential AI educator through his YouTube lectures on neural networks.
British-American AI researcher who co-founded Google Brain, served as Chief Scientist of Baidu, co-founded Coursera, and created deeplearning.ai — educating millions in machine learning — considered one of the most influential figures in democratizing AI knowledge.
San Francisco AI safety company founded by former OpenAI leaders Dario Amodei, Daniela Amodei, and colleagues — creator of the Claude AI assistant series — notable for Constitutional AI and its focus on making AI systems helpful, harmless, and honest.
Product executive referenced in the Lenny's Podcast context — associated with product leadership at Microsoft or AI companies.
Tyler Cowen's 2013 argument — that technology is bifurcating labor markets into high-skill workers who collaborate effectively with machines and low-skill workers who are displaced by them — one of the first serious books about AI and labor polarization.
AI researcher who co-invented NeRF (Neural Radiance Fields) — a technique for synthesizing novel 3D views of scenes from 2D photographs using neural networks — one of the most influential computer vision papers of the last decade.
Ben Tossell's daily AI newsletter covering AI news, tools, and developments — one of the most widely read AI newsletters.
StackBlitz's AI app builder — enabling users to build and deploy web applications from natural language descriptions — part of the vibe-coding wave of AI coding tools.
American technologist who co-created Google Maps, co-founded FriendFeed (acquired by Facebook), served as Facebook CTO, became Salesforce co-CEO, chaired Twitter's board during the Musk acquisition, and co-founded Sierra (enterprise AI) — one of the most technically decorated executives in Silicon Valley.
American entrepreneur who sold Braintree/Venmo for $800M and subsequently launched Blueprint, a radical biohacking protocol to measure and reverse biological aging, and OS Fund, which invests in companies decoding the operating systems of life.
OpenAI's consumer-facing large language model interface launched in November 2022, which reached 100 million users in two months — the fastest consumer product adoption in history — and triggered a global wave of AI investment, competition, and policy debate.
Australian-American computational linguist at Stanford — co-director of Stanford HAI — known for foundational contributions to natural language processing including the Stanford NLP group, the Stanford Parser, and textbooks used globally in NLP courses.
AI researcher working on computer vision and generative models — referenced in the Lenny's Podcast context in discussions of AI.
AI-powered code editor built on VS Code — integrating large language models for code completion, generation, and conversation directly in the editor — among the most widely adopted AI coding tools.
American entrepreneur and writer who co-founded Every — a bundle of newsletters about AI and business — and who has written extensively about AI tools, productivity, and the future of knowledge work, becoming one of the most widely read AI thinkers in the startup world.
American technology executive who served as VP of Operations at OpenAI and co-founded Anthropic with her brother Dario — serving as President — responsible for building the operations, go-to-market, and business infrastructure that supports Anthropic's frontier AI research.
American AI researcher — co-founder and CEO of Anthropic — former VP of Research at OpenAI — who founded Anthropic with his sister Daniela Amodei after leaving OpenAI over safety concerns — one of the most consequential figures in the development of large language models.
British AI researcher — co-founder and CEO of Google DeepMind — who led the creation of AlphaGo, AlphaZero, AlphaFold (protein structure prediction) and AlphaGeometry — Nobel Prize in Chemistry (2024) — child chess prodigy, Bullfrog Games designer — the most decorated AI researcher in history.
American podcaster and writer — host of the Dwarkesh Podcast — who has conducted the most substantively deep AI and technology interviews of any podcaster — who publishes essays on AI and economics on Substack.
Long-form intellectual interview podcast hosted by Dwarkesh Patel — covering AI, science, history, and economics through 2–4 hour deep-dive conversations with guests including Jensen Huang, Dario Amodei, Ilya Sutskever, Satya Nadella, Andrej Karpathy, Terence Tao, and many others.
American semiconductor and AI infrastructure analyst — founder of SemiAnalysis — the most detailed independent analyst of AI chip supply chains, datacenter infrastructure, and the business of AI hardware.
Data scientist and AI practitioner known for work on trust and safety, ML evaluation, and AI systems — with experience at Twitter, Surge AI, and other tech companies.
Turkish-British economist and AI forecaster — researcher at Epoch AI — who works on economic models of AI's impact on growth and forecasting AI capabilities trajectories.
AI and robotics researcher — who has worked on embodied AI and machine learning systems — referenced in discussions of AI progress.
American technologist who was CEO of Novell, then CEO of Google (2001–11), Executive Chairman of Alphabet (2011–17) — widely credited with bringing adult supervision to Google's founders and scaling it into a global company — now active in AI policy and national security technology.
Chinese-American computer scientist at Stanford — creator of ImageNet (the massive labeled image dataset that enabled the deep learning revolution) — co-director of Stanford HAI — former Chief Scientist of AI/ML at Google Cloud — author of The Worlds I See.
French-American AI researcher — creator of Keras (the most widely used deep learning framework) — who works at Google — creator of the ARC benchmark (Abstraction and Reasoning Corpus) — who argues that current LLMs lack general intelligence and that the ARC benchmark exposes this limitation.
Russian chess grandmaster who was the World Chess Champion from 1985 to 2000 — considered the greatest chess player in history — who lost to IBM's Deep Blue in 1997 (the first time a world champion was defeated by a computer) and subsequently became a political dissident and AI commentator.
Arvind Jain's Palo Alto enterprise AI search platform — connecting to all a company's tools (Slack, email, Confluence, Salesforce, etc.) to provide a unified search and AI assistant experience.
Amit Bendov's revenue intelligence platform — recording, transcribing, and analyzing sales calls using AI to improve sales performance and forecasting.
Google's AI research division — formed from the 2023 merger of Google Brain and DeepMind — responsible for AlphaGo, AlphaFold, Gemini, and foundational deep learning research.
Alex Shevchenko's Kyiv-founded, San Francisco-headquartered AI writing assistant — providing grammar checking, style suggestions, and now generative writing assistance — one of the first mass-market AI writing tools.
Anonymous American writer and researcher — gwern.net — who writes long-form research essays on AI, genetics, psychology, and technology with an unusual combination of statistical rigor and breadth — one of the most influential independent researchers in the rationalist and AI communities.
Developer and AI practitioner known for work on AI developer tools and open source — referenced in the Lenny's Podcast context.
Spike Jonze's 2013 film about a lonely writer who falls in love with an AI operating system — the most prescient mainstream film about artificial general intelligence, human-AI relationships, and the nature of consciousness.
A podcast focused on how practitioners use AI tools and integrate AI into their workflows.
Israeli-Canadian-American AI researcher — co-founder and former Chief Scientist of OpenAI — who was a student of Geoffrey Hinton — led the development of GPT-2, GPT-3, and GPT-4 — who attempted to remove Sam Altman as CEO in November 2023 and then founded Safe Superintelligence Inc.
Eoghan McCabe's Dublin customer messaging platform — providing chat, email, and support automation for B2B SaaS companies — early mover in AI-powered customer support.
Computer scientist at Stanford specializing in human-computer interaction — affiliated with Stanford HAI — known for research on sketch-based interfaces, mobile computing, and AI-powered user interfaces.
American physicist and AI researcher at Anthropic who co-authored the Neural Scaling Laws paper — demonstrating that AI model performance improves predictably as a power law function of model size, data, and compute — one of the most consequential empirical findings in modern AI.
American computer scientist — Google Fellow and Chief Scientist of Google DeepMind — who co-created Google's core infrastructure (MapReduce, BigTable, TensorFlow) and led Google Brain — the most important engineer in Google's history.
Geoffrey Hinton — British-Canadian cognitive psychologist and computer scientist known as the 'Godfather of Deep Learning' — who co-invented backpropagation, developed deep neural networks, and won the 2024 Nobel Prize in Physics — who resigned from Google in 2023 to speak freely about AI risks.
Taiwanese-American entrepreneur — co-founder and CEO of NVIDIA — who built NVIDIA from a gaming GPU company into the foundational infrastructure company of the AI revolution — whose H100 and A100 chips became the 'shovels in the AI gold rush.'
American technology entrepreneur and conservative intellectual — founder of Applied Predictive Technologies (sold to MasterCard) — senior fellow at the Manhattan Institute — author of Uncontrolled (on the limits of social science and the case for policy experimentation).
American philosopher — Provost of Stanford (2000–2017) — co-founder of Stanford's Human-Centered AI Institute (HAI) with Fei-Fei Li — logician who has been at the center of Stanford's AI governance efforts.
American AI researcher who led the development of AlphaFold2 at DeepMind — solving the 50-year protein folding problem — and who shared the 2024 Nobel Prize in Chemistry with Demis Hassabis and David Baker for this achievement.
American AI researcher — co-founder of OpenAI — who invented Proximal Policy Optimization (PPO) and co-created RLHF (Reinforcement Learning from Human Feedback) — the training technique behind ChatGPT — who left OpenAI in 2024 to join Anthropic.
AI researcher and educator known for creating CS231n (Convolutional Neural Networks for Visual Recognition) at Stanford — one of the most widely watched computer vision courses in the world — and for research on visual reasoning, image generation, and 3D scene understanding.
Product and research professional at Anthropic working on Claude — referenced in discussions of AI product development.
American computer scientist who co-founded Google with Sergey Brin — developing the PageRank algorithm that powered the world's best search engine — and who led Google as CEO (2011–15) and Alphabet as CEO (2015–19) while guiding the company's expansion into AI, autonomous vehicles, and life sciences.
Russian-American AI researcher and podcaster — MIT research affiliation — host of the Lex Fridman Podcast — who interviews scientists, technologists, and world leaders in long-form format.
Lex Fridman's long-form interview podcast — covering AI, science, philosophy, history, and culture — with guests including Elon Musk, Vladimir Putin, and leading scientists — one of the most downloaded podcasts globally.
AI-powered app builder enabling non-developers to create full-stack web applications from natural language prompts.
A machine learning textbook or resource referenced in the Lenny's Podcast context.
American entrepreneur — co-founder and CEO of Meta (formerly Facebook) — who built the world's most-used social media platform from a Harvard dorm room — controls Meta through supervoting shares — and has pivoted Meta toward AI and the metaverse.
Slovenian AI and robotics researcher — who works on embodied intelligence and robotics — referenced in discussions of AI and robotic systems.
Mark Zuckerberg's tech conglomerate — operator of Facebook, Instagram, and WhatsApp — creator of the Llama open-source AI models — rebranded from Facebook to Meta in 2021 with a focus on virtual reality and the metaverse.
AI-powered interview intelligence platform that automatically generates structured interview notes and helps teams make better hiring decisions.
Bill Gates and Paul Allen's Redmond, Washington software company — creator of Windows and Office — the dominant enterprise software company — transformed under Satya Nadella into a cloud computing and AI leader through its OpenAI partnership.
American entrepreneur — former CEO of GitHub (2018–2021) — co-founder of Xamarin (sold to Microsoft) — co-founder of the AI Grant fellowship — who funded the Vesuvius Challenge (successfully decoded Herculaneum scrolls using AI) — one of the most intellectually adventurous tech figures.
Product executive at OpenAI responsible for ChatGPT product — referenced in discussions of AI product strategy.
Sarah Guo and Elad Gil's podcast interviewing AI researchers, founders, and investors — focusing on the cutting edge of AI development and its implications.
American AI researcher — who co-invented the Transformer architecture (Attention Is All You Need, 2017) — left Google, founded Character.AI, sold it back to Google — whose technical contributions to language modeling are more fundamental than almost any other individual.
San Francisco AI research and deployment company — founded by Sam Altman, Elon Musk, Greg Brockman, and others — creator of the GPT series, DALL-E, and ChatGPT — the company most responsible for bringing large language models into mainstream use.
Stanford AI professor affiliated with HAI — known for creating HELM (Holistic Evaluation of Language Models), the Center for Research on Foundation Models (CRFM), and research on NLP, program synthesis, and AI transparency and evaluation.
Browser-based coding and deployment platform — evolved from a coding education tool to an AI app builder enabling non-developers to create and deploy software.
Canadian-American computer scientist — Distinguished Research Scientist at DeepMind — professor at University of Alberta — co-inventor of temporal difference learning and the author of Reinforcement Learning: An Introduction — the father of modern reinforcement learning.
American entrepreneur who co-founded Loopt, ran Y Combinator as president (2014–19), and became CEO of OpenAI — releasing ChatGPT (2022) and GPT-4 — making him the most prominent face of the AI revolution and the central figure in debates about AI safety and deployment.
AI researcher associated with prompt engineering research — likely a co-author of The Prompt Report, a comprehensive survey of prompting techniques.
Indian-American businessman — CEO of Microsoft (2014–) — who transformed Microsoft from a PC-software company into a cloud-computing company (Azure), reversed its declining relevance, and made the decisive bet on OpenAI — the most successful large-company transformation in technology.
Alexandr Wang's data infrastructure company for AI — providing human-labeled training data, RLHF, and model evaluation services — serving both commercial AI labs and the US government/military.
German-American AI researcher who built the Stanley self-driving car (DARPA Grand Challenge winner, 2005), founded Google X and Google's self-driving car project (Waymo), and co-founded Udacity — the first major MOOC platform for technical education.
American AI and robotics researcher at UC Berkeley — who works on deep reinforcement learning for robotics — one of the leading researchers on how to train robots to manipulate objects in the physical world.
New Zealand AI researcher — co-founder of DeepMind — whose PhD dissertation defined general machine intelligence and whose prediction that a 50% chance of AGI by 2028 (made in 2011) has become one of the most discussed AI forecasts.
AI researcher — who has worked on large language model architectures and scaling — referenced in AI development discussions.
ML engineer and researcher known for work on ML systems, data validation, and AI reliability — UC Berkeley PhD — and for writing about practical ML engineering challenges.
British developer who co-created the Django web framework and who has become one of the most respected voices on practical AI tools for developers — creator of Datasette (open source data exploration tool) and prolific blogger/tweeter about LLM capabilities.
OpenAI's AI video generation model — which generates realistic, high-quality video from text prompts — representing one of the most significant demonstrations of generative AI capabilities in the media production domain.
Nick Bostrom's 2014 philosophical analysis of artificial superintelligence — arguing that a superintelligent AI would be dangerous not through malice but through instrumental convergence (any goal tends to require self-preservation, resource acquisition, and goal-content integrity) — the founding document of mainstream AI safety concern.
Edwin Chen's AI data labeling platform focused on high-quality, expert annotations for training AI models — emphasizing worker quality and satisfaction over cost minimization.
Turkish-British AI researcher at Epoch AI — who works on forecasting AI capabilities, compute trends, and the economics of AI development.
A book examining how AI is transforming customer service operations — covering automation, chatbots, human-AI collaboration, and the strategic implications for businesses.
Nathan Labenz and Erik Torenberg's podcast exploring the AI revolution — with deep-dive conversations with researchers, founders, and practitioners about AI capabilities and implications.
Biography or account of DeepMind and the AI revolution — tracing the founding and development of DeepMind from a London startup to a Google-owned AI research powerhouse — covering Demis Hassabis, Shane Legg, and Mustafa Suleyman.
An AI newsletter focused on making AI accessible to non-technical audiences — covering AI news, tools, and practical applications.
Ashlee Vance's 2024 biography of Jensen Huang and Nvidia — covering the company's founding, near-death experiences, strategic pivots, and ultimate triumph as the dominant AI computing company — documenting what Jensen calls the Nvidia way of working.
A 2024 systematic survey of prompt engineering techniques — cataloging and evaluating the effectiveness of different prompting methods across AI models.
AI-powered information platform attempting to provide more comprehensive and less biased news aggregation through machine learning curation.
American AI researcher at Anthropic — who works on mechanistic interpretability — known for research on superposition in neural networks and toy model analysis of how transformers store information.
Fei-Fei Li's spatial intelligence AI company — focused on enabling AI to understand and navigate three-dimensional physical space — one of the most prominent AI startups of 2024.
Vercel's AI UI generation tool — enabling developers to generate React/Next.js UI components from natural language descriptions — one of the first AI tools focused specifically on UI code generation.
Daniel Miessler's newsletter synthesizing the week's most important developments in cybersecurity and AI — known for clear signal extraction from a noisy information environment.
Entrepreneur and investor — former Y Combinator partner, founder of Pioneer (a global talent contest), and co-author (with Tyler Cowen) of Talent.
AI-powered financial intelligence platform used by institutional investors to search and analyze earnings calls, filings, and research — applying NLP to financial information at scale.
OpenAI's 2020 language model — the first AI system to demonstrate convincingly that scaling transformer models produces qualitative leaps in capability, triggering the modern AI race.
Founder of Fifty Years — a venture fund focused on deep tech companies solving major human problems — and serial entrepreneur.
MIT cosmologist and AI safety advocate — co-founder of the Future of Life Institute, author of Life 3.0 on AI futures, and developer of the Mathematical Universe Hypothesis.