AI Circle · How to learn AI and keep up
AI Circle · How to learn AI and keep up
The AI Learning Guide
The AI Learning Guide
The papers, books, podcasts, people, and courses our researchers and operators actually use. A living reading list from the AI Circle community, updated as the field moves.
The papers, books, podcasts, people, and courses our researchers and operators actually use. A living reading list from the AI Circle community, updated as the field moves.
Download the guide (PDF) ↓
I. Start here
I. Start here
Four steps, in order. Don’t try to read everything.
Four steps, in order. Don’t try to read everything.
This list is long on purpose, so you can go deep on whatever matters to your work. The path below is how most of our members got started.
This list is long on purpose, so you can go deep on whatever matters to your work. The path below is how most of our members got started.
01
Learn the vocabulary
Learn the vocabulary
Start with a16z’s AI glossary so the rest of this list reads cleanly.
02
Read the foundations
Read the foundations
A handful of papers explain most of modern AI. Begin with the ones marked Founder pick.
03
Build a listening habit
Build a listening habit
Pick one weekly podcast and one daily newsletter. Consistency beats volume.
04
Learn from people
Learn from people
Follow practitioners, join a community, and bring your questions to a room.
Founder pick: recommended by AI Circle’s founder. Member pick: recommended by AI Circle members. AI Circle partner: companies we host rooms with.
II. Read
II. Read
The papers and books behind modern AI.
The papers and books behind modern AI.
Start with the foundations, then go deep on whatever you’re building. Papers are listed in the order they were published, so you can watch the field unfold.
Start with the foundations, then go deep on whatever you’re building. Papers are listed in the order they were published, so you can watch the field unfold.
Research papers
Research papers
In publication order, from AlexNet to today’s preference-tuning work.
2012
ImageNet Classification with Deep Convolutional Neural Networks
ImageNet Classification with Deep Convolutional Neural Networks
The AlexNet paper that launched the deep learning revolution. Krizhevsky, Sutskever, and Hinton won ImageNet 2012 by a massive margin using deep convolutional neural networks, ReLU activations, and dropout. Proved neural networks could dominate computer vision and sparked the modern AI era.
The AlexNet paper that launched the deep learning revolution. Krizhevsky, Sutskever, and Hinton won ImageNet 2012 by a massive margin using deep convolutional neural networks, ReLU activations, and dropout. Proved neural networks could dominate computer vision and sparked the modern AI era.
ML fundamentals
2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Introduces the attention mechanism for sequence-to-sequence models. By Bahdanau, Cho, and Bengio. The breakthrough that enabled neural networks to handle long sequences by learning which parts to focus on. Precursor to transformers.
Introduces the attention mechanism for sequence-to-sequence models. By Bahdanau, Cho, and Bengio. The breakthrough that enabled neural networks to handle long sequences by learning which parts to focus on. Precursor to transformers.
LLMs
2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Introduces ResNets and skip connections, allowing training of networks 100+ layers deep. One of the most cited papers in deep learning skip connections are now everywhere.
Introduces ResNets and skip connections, allowing training of networks 100+ layers deep. One of the most cited papers in deep learning skip connections are now everywhere.
ML fundamentals
2017
Founder pick
Attention is All You Need
Attention is All You Need
The foundational paper that introduced the Transformer architecture powering GPT, BERT, Claude, and virtually every modern AI system. Replaced recurrence and convolutions with pure attention, enabling unprecedented parallelization and scale. Must read.
The foundational paper that introduced the Transformer architecture powering GPT, BERT, Claude, and virtually every modern AI system. Replaced recurrence and convolutions with pure attention, enabling unprecedented parallelization and scale. Must read.
LLMs
2019
GPipe: Easy Scaling with Micro-Batch Pipeline Parallelism
GPipe: Easy Scaling with Micro-Batch Pipeline Parallelism
Google's technique for training giant neural networks across multiple devices by splitting models into stages and processing micro-batches in parallel. Key infrastructure enabling billion-parameter models that power today's AI.
Google's technique for training giant neural networks across multiple devices by splitting models into stages and processing micro-batches in parallel. Key infrastructure enabling billion-parameter models that power today's AI.
Research · ML fundamentals
2020
Founder pick
Retrieval-Augmented Generation for Knowledge - Intensive NLP Tasks
Retrieval-Augmented Generation for Knowledge - Intensive NLP Tasks
Introduces RAG (Retrieval-Augmented Generation), which combines AI language models with external knowledge databases. Allows AI to pull in real information instead of relying only on what's in its training. Biggest use case in the industry. Must read.
Introduces RAG (Retrieval-Augmented Generation), which combines AI language models with external knowledge databases. Allows AI to pull in real information instead of relying only on what's in its training. Biggest use case in the industry. Must read.
LLMs
2022
Constitutional AI: Harmlessness from AI Feedback
Constitutional AI: Harmlessness from AI Feedback
Anthropic's method for training AI to be helpful and harmless using AI feedback instead of human labeling. Foundation for how Claude and other safe AI assistants are built. Key paper for understanding AI alignment in practice.
Anthropic's method for training AI to be helpful and harmless using AI feedback instead of human labeling. Foundation for how Claude and other safe AI assistants are built. Key paper for understanding AI alignment in practice.
Safety & ethics · LLMs
2023
Founder pick
Graph of Thoughts: Solving Elaborate Problems with Large Language Models
Graph of Thoughts: Solving Elaborate Problems with Large Language Models
Extends Chain-of-Thought and Tree of Thoughts by modeling LLM reasoning as a graph, enabling more complex thought patterns like combining, refining, and looping over ideas. Key reading to design advanced reasoning systems.
Extends Chain-of-Thought and Tree of Thoughts by modeling LLM reasoning as a graph, enabling more complex thought patterns like combining, refining, and looping over ideas. Key reading to design advanced reasoning systems.
LLMs
2023
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Introduces DPO, a simpler & more stable way to train AI than traditional reinforcement learning (PPO). Eliminates the need for a separate reward model and complex optimization, achieving better results with just straightforward classification.
Introduces DPO, a simpler & more stable way to train AI than traditional reinforcement learning (PPO). Eliminates the need for a separate reward model and complex optimization, achieving better results with just straightforward classification.
LLMs
2023
Sparks of Artificial General Intelligence: Early Experiments with GPT-4
Sparks of Artificial General Intelligence: Early Experiments with GPT-4
Microsoft Research's exploration of GPT-4's capabilities across reasoning, math, coding, vision, medicine, and law. Documents emergent abilities, limitations, and failure modes. Essential reading for understanding what frontier models can actually do.
Microsoft Research's exploration of GPT-4's capabilities across reasoning, math, coding, vision, medicine, and law. Documents emergent abilities, limitations, and failure modes. Essential reading for understanding what frontier models can actually do.
LLMs
2024
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Shows how DeepSeek trained an AI to excel at complex math by carefully selecting training data from the web and using a new optimization technique (GRPO). Achieves near-GPT-4 level performance on competition-level math problems.
Shows how DeepSeek trained an AI to excel at complex math by carefully selecting training data from the web and using a new optimization technique (GRPO). Achieves near-GPT-4 level performance on competition-level math problems.
LLMs
2024
Founder pick
Group Robust Preference Optimization in Reward-free RLHF
Group Robust Preference Optimization in Reward-free RLHF
Solves the problem where AI ignores minority viewpoints by focusing on the worst-performing groups. Instead of optimizing for average preferences, GRPO improves performance for underrepresented perspectives balancing AI behavior across different demographics and groups.
Solves the problem where AI ignores minority viewpoints by focusing on the worst-performing groups. Instead of optimizing for average preferences, GRPO improves performance for underrepresented perspectives balancing AI behavior across different demographics and groups.
LLMs
2024
Founder pick
AI-Assisted Assessment of Coding Practices in Modern Code Review
AI-Assisted Assessment of Coding Practices in Modern Code Review
Research paper from Google on AutoCommenter, an LLM-based system that automatically detects coding best practice violations during code review. Demonstrates how AI can handle nuanced style and readability rules that traditional static analysis tools miss, allowing human reviewers to focus on logic and functionality.
Research paper from Google on AutoCommenter, an LLM-based system that automatically detects coding best practice violations during code review. Demonstrates how AI can handle nuanced style and readability rules that traditional static analysis tools miss, allowing human reviewers to focus on logic and functionality.
LLMs · AI business
2024
Founder pick
A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications
A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications
Comprehensive guide to prompt engineering, how to write instructions that get better AI results. Organizes techniques by use case with clear examples of what works and when. Essential reference for building with LLMs.
Comprehensive guide to prompt engineering, how to write instructions that get better AI results. Organizes techniques by use case with clear examples of what works and when. Essential reference for building with LLMs.
LLMs
2024
Founder pick
RLHF Workflow: From Reward Modeling to Online RLHF
RLHF Workflow: From Reward Modeling to Online RLHF
Complete guide to online iterative RLHF, the training method behind top chatbots. Shows how continuous feedback cycles beat one-time training. Includes open-source code and datasets to reproduce state-of-the-art results.
Complete guide to online iterative RLHF, the training method behind top chatbots. Shows how continuous feedback cycles beat one-time training. Includes open-source code and datasets to reproduce state-of-the-art results.
LLMs
Books
Books
From accessible introductions to hands-on engineering guides.
2025
Agentic Design Patterns
Agentic Design Patterns
By Antonio Gulli. A comprehensive, code-backed curriculum covering 21 design patterns for building autonomous AI agents. Includes pattern overviews, practical use cases, hands-on examples, and key takeaways. Your recipe book for implementing agentic AI systems using LangChain/LangGraph, CrewAI, and Google ADK.
By Antonio Gulli. A comprehensive, code-backed curriculum covering 21 design patterns for building autonomous AI agents. Includes pattern overviews, practical use cases, hands-on examples, and key takeaways. Your recipe book for implementing agentic AI systems using LangChain/LangGraph, CrewAI, and Google ADK.
Tutorials · Deep dives · LLMs
2024
Co-Intelligence: Living and Working with AI
Co-Intelligence: Living and Working with AI
NYT bestseller from Wharton professor Ethan Mollick. The definitive playbook for working, learning, and thriving alongside AI. Essential for anyone looking to harness AI's potential while staying grounded in what makes us human.
NYT bestseller from Wharton professor Ethan Mollick. The definitive playbook for working, learning, and thriving alongside AI. Essential for anyone looking to harness AI's potential while staying grounded in what makes us human.
AI business · Thought leadership
2024
Hands-On Large Language Models
Hands-On Large Language Models
By Jay Alammar and Maarten Grootendorst. A visually-driven guide with nearly 300 custom illustrations that takes you from zero to confident practitioner in LLMs. Covers transformers, tokenizers, semantic search, RAG, and fine-tuning with intuitive explanations and working Python code throughout.
By Jay Alammar and Maarten Grootendorst. A visually-driven guide with nearly 300 custom illustrations that takes you from zero to confident practitioner in LLMs. Covers transformers, tokenizers, semantic search, RAG, and fine-tuning with intuitive explanations and working Python code throughout.
LLMs · Tutorials
2019
The Hundred-Page Machine Learning Book
The Hundred-Page Machine Learning Book
Andriy Burkov's concise guide to ML fundamentals in 100 pages. Covers supervised/unsupervised learning, neural networks, model evaluation and practical implementation without overwhelming theory. The go-to starting point for anyone wanting to understand machine learning without a formal degree program.
Andriy Burkov's concise guide to ML fundamentals in 100 pages. Covers supervised/unsupervised learning, neural networks, model evaluation and practical implementation without overwhelming theory. The go-to starting point for anyone wanting to understand machine learning without a formal degree program.
ML fundamentals · Tutorials · Beginner
2025
AI Engineering
AI Engineering
Chip Huyen's comprehensive guide to building applications with foundation models. Covers prompt engineering, RAG, fine-tuning, agents, evaluation, and deployment. Great guide for anyone building AI products.
Chip Huyen's comprehensive guide to building applications with foundation models. Covers prompt engineering, RAG, fine-tuning, agents, evaluation, and deployment. Great guide for anyone building AI products.
LLMs · Tutorials
2022
Designing Machine Learning Systems
Designing Machine Learning Systems
Also by Chip Huyen. Amazon bestseller covering the end-to-end process of designing ML systems for production. Focuses on data engineering, feature engineering, model deployment, and monitoring. Essential companion to AI Engineering for production ML.
Also by Chip Huyen. Amazon bestseller covering the end-to-end process of designing ML systems for production. Focuses on data engineering, feature engineering, model deployment, and monitoring. Essential companion to AI Engineering for production ML.
ML fundamentals · Tutorials
2019
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
Aurélien Géron's practical guide to building ML systems with Python. Covers classical ML through deep learning with hands-on code examples. The go-to technical reference for practitioners who learn by doing.
Aurélien Géron's practical guide to building ML systems with Python. Covers classical ML through deep learning with hands-on code examples. The go-to technical reference for practitioners who learn by doing.
ML fundamentals · Tutorials · Deep dives
2016
Deep Learning
Deep Learning
One of the most comprehensive books on deep learning. Covers mathematical foundations, neural networks, and modern architectures. Dense but essential for anyone wanting deep theoretical understanding.
One of the most comprehensive books on deep learning. Covers mathematical foundations, neural networks, and modern architectures. Dense but essential for anyone wanting deep theoretical understanding.
ML fundamentals · Research
2022
Prediction Machines: The Simple Economics of Artificial Intelligence
Prediction Machines: The Simple Economics of Artificial Intelligence
By economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb who reframe AI as a tool that dramatically lowers the cost of prediction, cutting through the hype to explain what AI actually does and how to apply it strategically. Named one of "the five best books to understand AI" by The Economist. Essential framework for executives, strategists, and entrepreneurs navigating AI decisions.
By economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb who reframe AI as a tool that dramatically lowers the cost of prediction, cutting through the hype to explain what AI actually does and how to apply it strategically. Named one of "the five best books to understand AI" by The Economist. Essential framework for executives, strategists, and entrepreneurs navigating AI decisions.
AI business · Thought leadership
Member pick
Founder Brand
Founder Brand
Dave Gerhardt's tactical guide to using your founder story as a competitive advantage. Covers personal branding, social media strategy, platform selection, and measuring results. Practical playbook for founders and CEOs looking to build credibility and trust through authentic storytelling.
Dave Gerhardt's tactical guide to using your founder story as a competitive advantage. Covers personal branding, social media strategy, platform selection, and measuring results. Practical playbook for founders and CEOs looking to build credibility and trust through authentic storytelling.
AI business
Member pick
The Great CEO Within
The Great CEO Within
Matt Mochary's tactical playbook for scaling startups, based on his experience coaching CEOs at top Silicon Valley companies. Covers accountability systems, problem-solving frameworks, transparent feedback, and operational efficiency. Concise, actionable guide for founding CEOs navigating rapid growth.
Matt Mochary's tactical playbook for scaling startups, based on his experience coaching CEOs at top Silicon Valley companies. Covers accountability systems, problem-solving frameworks, transparent feedback, and operational efficiency. Concise, actionable guide for founding CEOs navigating rapid growth.
AI business
Member pick
The Advantage
The Advantage
Patrick Lencioni's case for why organizational health is the greatest competitive advantage in business. Covers building cohesive leadership teams, creating clarity, overcommunicating, and reinforcing through systems. Foundational reading for leaders building resilient company cultures.
Patrick Lencioni's case for why organizational health is the greatest competitive advantage in business. Covers building cohesive leadership teams, creating clarity, overcommunicating, and reinforcing through systems. Foundational reading for leaders building resilient company cultures.
AI business
Member pick
Dare to Lead
Dare to Lead
Brené Brown's research-backed guide to courageous leadership. Covers vulnerability, values-driven decision-making, building trust, and having difficult conversations. Practical framework for leaders who want to cultivate brave cultures and whole-hearted teams.
Brené Brown's research-backed guide to courageous leadership. Covers vulnerability, values-driven decision-making, building trust, and having difficult conversations. Practical framework for leaders who want to cultivate brave cultures and whole-hearted teams.
AI business
Member pick
From Research to Production - Industrializing NLP and Large Language Models
From Research to Production - Industrializing NLP and Large Language Models
By Abonia Sojasingarayar and Manan Thakkar. A free eBook covering the full journey from NLP fundamentals to production-ready LLM systems. Walks through text representation, transformers, fine-tuning, RAG, and LLMOps with practical case studies across industries. Designed for beginners to professionals looking to industrialize AI solutions.
By Abonia Sojasingarayar and Manan Thakkar. A free eBook covering the full journey from NLP fundamentals to production-ready LLM systems. Walks through text representation, transformers, fine-tuning, RAG, and LLMOps with practical case studies across industries. Designed for beginners to professionals looking to industrialize AI solutions.
LLMs · Tutorials
2024
Member pick
Deep Learning for Data Architects
Deep Learning for Data Architects
By Shekhar Khandelwal. A hands-on guide bridging data architecture and deep learning, covering neural networks, CNNs, RNNs, GANs, and Transformers with practical Python implementations. Teaches you to transform raw data into actionable insights and build predictive models from scratch. For data architects, data scientists, and engineers applying deep learning to real-world problems.
By Shekhar Khandelwal. A hands-on guide bridging data architecture and deep learning, covering neural networks, CNNs, RNNs, GANs, and Transformers with practical Python implementations. Teaches you to transform raw data into actionable insights and build predictive models from scratch. For data architects, data scientists, and engineers applying deep learning to real-world problems.
ML fundamentals · Deep dives · Tutorials
Member pick
The LLM Engineer's Handbook: Master the art of engineering LLMs from concept to production
The LLM Engineer's Handbook: Master the art of engineering LLMs from concept to production
By Paul Iusztin and Maxime Labonne. A practical guide taking you from LLM fundamentals to production deployment using LLMOps best practices. Covers data engineering, RAG, fine-tuning, preference alignment, evaluation, inference optimization, and AWS deployment through hands-on project building. For AI engineers and LLM practitioners ready to move beyond Jupyter notebooks to production-grade systems.
By Paul Iusztin and Maxime Labonne. A practical guide taking you from LLM fundamentals to production deployment using LLMOps best practices. Covers data engineering, RAG, fine-tuning, preference alignment, evaluation, inference optimization, and AWS deployment through hands-on project building. For AI engineers and LLM practitioners ready to move beyond Jupyter notebooks to production-grade systems.
LLMs · Tutorials · Deep dives
Member pick
Mastering NLP from Foundations to LLMs
Mastering NLP from Foundations to LLMs
Comprehensive guide starting with NLP basics and advancing to LLMs. Covers mathematical foundations (linear algebra, optimization, probability, statistics) essential for understanding ML and NLP. Includes Python code samples, real-world business problem solutions, and expert insights on future trends. GitHub repository included. Ideal for ML/NLP researchers, practitioners, educators, and STEM students.
Comprehensive guide starting with NLP basics and advancing to LLMs. Covers mathematical foundations (linear algebra, optimization, probability, statistics) essential for understanding ML and NLP. Includes Python code samples, real-world business problem solutions, and expert insights on future trends. GitHub repository included. Ideal for ML/NLP researchers, practitioners, educators, and STEM students.
LLMs · ML fundamentals · Tutorials
Member pick
Transformers for Natural Language Processing
Transformers for Natural Language Processing
Extensive exploration of transformer architectures and their applications in generative AI and LLMs. Covers Transformer, BERT, GPT, T5, ViT, CLIP, DALL-E 2/3, and GPT-4V. Includes data preprocessing, tokenization, fine-tuning, RAG implementation, and risk mitigation strategies for LLMs. GitHub repository with notebooks included. For NLP/CV engineers, data scientists, and technical leaders.
Extensive exploration of transformer architectures and their applications in generative AI and LLMs. Covers Transformer, BERT, GPT, T5, ViT, CLIP, DALL-E 2/3, and GPT-4V. Includes data preprocessing, tokenization, fine-tuning, RAG implementation, and risk mitigation strategies for LLMs. GitHub repository with notebooks included. For NLP/CV engineers, data scientists, and technical leaders.
LLMs · Generative AI · Tutorials · Deep dives
III. Listen & watch
III. Listen & watch
Conversations with the people building it.
Conversations with the people building it.
Podcasts and channels our members keep in rotation. Pick one and make it a habit.
Podcasts and channels our members keep in rotation. Pick one and make it a habit.
Podcasts
Podcasts
Interviews with researchers, founders, and investors.
Founder pick
Latent Space Podcast: The AI Engineer Podcast
Latent Space Podcast: The AI Engineer Podcast
Covers foundation models, code generation, multimodality, AI agents, and GPU infrastructure directly from the founders, builders, and researchers pushing the cutting edge. Features interviews with leaders from OpenAI, Anthropic, Meta, Databricks, Modular, and more. Known for high signal-to-noise ratio, deep technical discussions, and breaking news.
Covers foundation models, code generation, multimodality, AI agents, and GPU infrastructure directly from the founders, builders, and researchers pushing the cutting edge. Features interviews with leaders from OpenAI, Anthropic, Meta, Databricks, Modular, and more. Known for high signal-to-noise ratio, deep technical discussions, and breaking news.
Interviews · LLMs · Research frontiers
Member pick
Cognitive Revolution Podcast
Cognitive Revolution Podcast
Host Nathan Labenz scouts AI from every angle. Features interviews with AI builders, researchers, and investors, plus original deep-dive "AI Scouting Reports" on critical topics. Covers a wide range from AI safety debates and global AI policy to practical applications in sales, education, healthcare, and more. Good for business, policy, and academic leaders staying current on AI developments and implications.
Host Nathan Labenz scouts AI from every angle. Features interviews with AI builders, researchers, and investors, plus original deep-dive "AI Scouting Reports" on critical topics. Covers a wide range from AI safety debates and global AI policy to practical applications in sales, education, healthcare, and more. Good for business, policy, and academic leaders staying current on AI developments and implications.
Interviews · AI business · Research frontiers · Thought leadership
Member pick
No Priors Podcast: AI, Machine Learning, Tech, & Startups
No Priors Podcast: AI, Machine Learning, Tech, & Startups
AI and entrepreneurship podcast hosted by investor Sarah Guo (founder of Conviction) and serial entrepreneur Elad Gil (co-founder of Color Health, author of High Growth Handbook). Features conversations with leading engineers, researchers, and founders about the AI revolution covering topics like AGI timelines, market disruption, state-of-the-art research, and how commerce and society will change. Accessible for non-technical listeners while still diving deep on industry trends.
AI and entrepreneurship podcast hosted by investor Sarah Guo (founder of Conviction) and serial entrepreneur Elad Gil (co-founder of Color Health, author of High Growth Handbook). Features conversations with leading engineers, researchers, and founders about the AI revolution covering topics like AGI timelines, market disruption, state-of-the-art research, and how commerce and society will change. Accessible for non-technical listeners while still diving deep on industry trends.
AI business
Member pick
AI + a16z Podcast
AI + a16z Podcast
AI podcast from Andreessen Horowitz (a16z) featuring discussions with leading AI engineers, founders, and experts, alongside a16z general partners. Covers how AI is changing everything from art to enterprise IT, including topics like AI agents, coding tools, data infrastructure, pricing models, and security. Good for staying current on where the technology and industry are heading.
AI podcast from Andreessen Horowitz (a16z) featuring discussions with leading AI engineers, founders, and experts, alongside a16z general partners. Covers how AI is changing everything from art to enterprise IT, including topics like AI agents, coding tools, data infrastructure, pricing models, and security. Good for staying current on where the technology and industry are heading.
Interviews · AI business
Member pick
Dwarkesh Podcast
Dwarkesh Podcast
Long-form interviews with leading thinkers in AI, science, history, and geopolitics. Features conversations with top AI researchers on topics like AGI timelines, scaling laws, and the future of AI research. Known for substantive, intellectual depth.
Long-form interviews with leading thinkers in AI, science, history, and geopolitics. Features conversations with top AI researchers on topics like AGI timelines, scaling laws, and the future of AI research. Known for substantive, intellectual depth.
Interviews · Research frontiers · Deep dives · Thought leadership
Staff pick
Lenny's Podcast
Lenny's Podcast
Interviews with world-class product leaders, founders, and growth experts on building, launching, and growing products. Guests include CPOs, founders, and researchers from companies like LinkedIn, Slack, Anthropic, and Duolingo. Covers product management, AI tools for PMs, enterprise sales, and leadership.
Interviews with world-class product leaders, founders, and growth experts on building, launching, and growing products. Guests include CPOs, founders, and researchers from companies like LinkedIn, Slack, Anthropic, and Duolingo. Covers product management, AI tools for PMs, enterprise sales, and leadership.
Interviews · AI business
Member pick
The Neuron
The Neuron
Digestible and authoritative takes on the latest AI developments, trends, and research. Hosted by Pete Huang. Helps you stay up to speed and become an authority in your own circles. Available on all podcasting platforms and YouTube.
Digestible and authoritative takes on the latest AI developments, trends, and research. Hosted by Pete Huang. Helps you stay up to speed and become an authority in your own circles. Available on all podcasting platforms and YouTube.
News & analysis · Tutorials
MLOps Community
MLOps Community
Podcast focused on production-grade AI and machine learning operations. Features interviews with practitioners on topics like deep learning architectures, recommendation systems, voice agents, and deploying AI at scale. Also hosts virtual conferences covering practical themes in enterprise AI.
Podcast focused on production-grade AI and machine learning operations. Features interviews with practitioners on topics like deep learning architectures, recommendation systems, voice agents, and deploying AI at scale. Also hosts virtual conferences covering practical themes in enterprise AI.
Interviews · ML fundamentals · AI business
How I AI: Podcast with Claire Vo
How I AI: Podcast with Claire Vo
Practical AI education hosted by Claire Vo, three-time CPO and founder. Each episode features live demonstrations and screen sharing of specific AI workflows guests use to transform their work. Step-by-step processes you can copy immediately. Guests include product leaders, designers, and founders from companies like Whoop, Atlassian, and Gumroad showing real productivity gains with tools like Cursor, v0, and Devin.
Practical AI education hosted by Claire Vo, three-time CPO and founder. Each episode features live demonstrations and screen sharing of specific AI workflows guests use to transform their work. Step-by-step processes you can copy immediately. Guests include product leaders, designers, and founders from companies like Whoop, Atlassian, and Gumroad showing real productivity gains with tools like Cursor, v0, and Devin.
Tutorials · AI business
The AI Daily Brief: Artificial Intelligence News and Analysis
The AI Daily Brief: Artificial Intelligence News and Analysis
Daily briefing on the most significant AI developments, hosted by Nathaniel Whittemore. Cuts through the noise with analytical depth on the AI revolution, covering technological breakthroughs, AGI development, alignment, and implications for work and creativity.
Daily briefing on the most significant AI developments, hosted by Nathaniel Whittemore. Cuts through the noise with analytical depth on the AI revolution, covering technological breakthroughs, AGI development, alignment, and implications for work and creativity.
News & analysis · Thought leadership
High Agency Podcast
High Agency Podcast
For developers and entrepreneurs building with LLMs and generative AI. Host Raza Habib connects you with leaders at AI frontier companies who share hard-won stories, lessons, and playbooks from shipping successful AI products. Weekly episodes cover real-world challenges like code review automation, AI agents, multimodal applications, and scaling AI systems.
For developers and entrepreneurs building with LLMs and generative AI. Host Raza Habib connects you with leaders at AI frontier companies who share hard-won stories, lessons, and playbooks from shipping successful AI products. Weekly episodes cover real-world challenges like code review automation, AI agents, multimodal applications, and scaling AI systems.
Interviews · AI business
AI & I
AI & I
Host Dan Shipper (CEO of Every) explores how the smartest people use AI to improve their thinking, creativity, and relationships. Interviews founders, filmmakers, writers, and investors on how they incorporate AI tools into their work and daily lives. Features screen-sharing of chats and live experimentation with AI during episodes.
Host Dan Shipper (CEO of Every) explores how the smartest people use AI to improve their thinking, creativity, and relationships. Interviews founders, filmmakers, writers, and investors on how they incorporate AI tools into their work and daily lives. Features screen-sharing of chats and live experimentation with AI during episodes.
Interviews · AI business
The Gradient Podcast
The Gradient Podcast
Deeply researched and technical podcast featuring in-depth interviews with AI experts. Hosted by Daniel Bashir as part of The Gradient, a non-profit run by graduate students, researchers, and engineers. Aims to make AI more accessible and facilitate meaningful discussions within the AI community.
Deeply researched and technical podcast featuring in-depth interviews with AI experts. Hosted by Daniel Bashir as part of The Gradient, a non-profit run by graduate students, researchers, and engineers. Aims to make AI more accessible and facilitate meaningful discussions within the AI community.
Interviews · Research
The AI Podcast by NVIDIA
The AI Podcast by NVIDIA
Bi-weekly podcast hosted by Noah Kravitz exploring AI's impact across industries. Features 25-minute interviews with experts from healthcare, legal, science, and more. Creates a real-time oral history of AI and its transformative influence on our world.
Bi-weekly podcast hosted by Noah Kravitz exploring AI's impact across industries. Features 25-minute interviews with experts from healthcare, legal, science, and more. Creates a real-time oral history of AI and its transformative influence on our world.
Interviews · AI business
Google DeepMind: The Podcast
Google DeepMind: The Podcast
Multi-award winning podcast exploring how AI is transforming our world. Hosted by mathematician Hannah Fry, featuring DeepMind scientists and thinkers discussing AI foundations, neuroscience, games, safety, and how AI is accelerating science.
Multi-award winning podcast exploring how AI is transforming our world. Hosted by mathematician Hannah Fry, featuring DeepMind scientists and thinkers discussing AI foundations, neuroscience, games, safety, and how AI is accelerating science.
Research · Deep dives
Member pick
Unsupervised Learning: Redpoint's AI Podcast
Unsupervised Learning: Redpoint's AI Podcast
AI podcast probing the sharpest minds in AI. Features interviews with leaders from OpenAI, Anthropic, Google, Databricks, Scale, and top researchers on what's real today, what's coming, and what it means for builders and businesses. Covers AI products, infrastructure, agents, reasoning models, and industry trends.
AI podcast probing the sharpest minds in AI. Features interviews with leaders from OpenAI, Anthropic, Google, Databricks, Scale, and top researchers on what's real today, what's coming, and what it means for builders and businesses. Covers AI products, infrastructure, agents, reasoning models, and industry trends.
Interviews · AI business · Research frontiers
Member pick
20VC (The Twenty Minute VC)
20VC (The Twenty Minute VC)
One of the most influential venture capital podcasts, hosted by Harry Stebbings. Features interviews with top VCs, founders, and operators covering fundraising, scaling startups, and market trends. Offers a multi-cycle investor perspective on AI, with episodes on data labeling, AI coding tools, and the evolving AI landscape.
One of the most influential venture capital podcasts, hosted by Harry Stebbings. Features interviews with top VCs, founders, and operators covering fundraising, scaling startups, and market trends. Offers a multi-cycle investor perspective on AI, with episodes on data labeling, AI coding tools, and the evolving AI landscape.
Interviews · AI business · Thought leadership
YouTube channels
YouTube channels
Tutorials, explainers, and technical deep dives.
DeepLearning.AI
DeepLearning.AI
Comprehensive resource for structured AI/ML learning. Official YouTube channel from Andrew Ng's DeepLearning.AI, featuring free course content from their Coursera programs. Includes full specializations on deep learning, machine learning, CNNs, sequence models, and MLOps. Also hosts recorded events, live streams, and conference talks covering practical topics like building production LLM apps, RAG applications, prompt engineering, and multi-agent systems.
Comprehensive resource for structured AI/ML learning. Official YouTube channel from Andrew Ng's DeepLearning.AI, featuring free course content from their Coursera programs. Includes full specializations on deep learning, machine learning, CNNs, sequence models, and MLOps. Also hosts recorded events, live streams, and conference talks covering practical topics like building production LLM apps, RAG applications, prompt engineering, and multi-agent systems.
Tutorials · ML fundamentals
Jay Alammar
Jay Alammar
Machine learning researcher, builder, and writer known for visualizing AI/ML concepts. Clear, scaffolded teaching approach with illustrated guides to transformers, GPT-3, BERT, word embeddings, and reasoning models like DeepSeek-R1. Also covers explainable AI, LLM agents, RAG, DSPy, and practical tools.
Machine learning researcher, builder, and writer known for visualizing AI/ML concepts. Clear, scaffolded teaching approach with illustrated guides to transformers, GPT-3, BERT, word embeddings, and reasoning models like DeepSeek-R1. Also covers explainable AI, LLM agents, RAG, DSPy, and practical tools.
Tutorials · LLMs
Founder pick
Andrej Karpathy
Andrej Karpathy
AI educator and former OpenAI/Tesla AI lead. Features two tracks: a general audience track with comprehensive LLM deep dives, and a technical "Zero to Hero" series that builds neural networks from scratch. Known for clear, thorough explanations of how modern AI actually works.
AI educator and former OpenAI/Tesla AI lead. Features two tracks: a general audience track with comprehensive LLM deep dives, and a technical "Zero to Hero" series that builds neural networks from scratch. Known for clear, thorough explanations of how modern AI actually works.
Deep dives · LLMs · ML fundamentals
IBM Technology
IBM Technology
One of the best channels for beginners. Educational content from IBM experts covering AI, machine learning, data science, and broader tech topics like cybersecurity, DevOps, and quantum computing. Features clear explainers on foundational concepts (LLMs, RAG, AI agents, transformers, CNNs) plus technical tutorials for building AI solutions. Great for building baseline understanding.
One of the best channels for beginners. Educational content from IBM experts covering AI, machine learning, data science, and broader tech topics like cybersecurity, DevOps, and quantum computing. Features clear explainers on foundational concepts (LLMs, RAG, AI agents, transformers, CNNs) plus technical tutorials for building AI solutions. Great for building baseline understanding.
Tutorials · ML fundamentals · LLMs
Founder pick
3Blue1Brown
3Blue1Brown
Staff pick and founder favorite. Uses animation to make tricky topics intuitive and difficult problems simple through changes in perspective. Covers math, physics, and CS including linear algebra, calculus, neural networks, and transformers, all with an emphasis on visualizing core ideas.
Staff pick and founder favorite. Uses animation to make tricky topics intuitive and difficult problems simple through changes in perspective. Covers math, physics, and CS including linear algebra, calculus, neural networks, and transformers, all with an emphasis on visualizing core ideas.
Deep dives · ML fundamentals · Tutorials
AI Explained
AI Explained
Deep dives into the biggest AI developments as they happen, from new model releases to industry shifts. Created by the author of SimpleBench, a benchmark exposing the remaining reasoning gap between humans and LLMs. Breaks down complex AI news with technical depth while remaining accessible.
Deep dives into the biggest AI developments as they happen, from new model releases to industry shifts. Created by the author of SimpleBench, a benchmark exposing the remaining reasoning gap between humans and LLMs. Breaks down complex AI news with technical depth while remaining accessible.
News & analysis · Thought leadership
The AiGrid
The AiGrid
Fast-paced coverage of the latest AI research, model releases, and industry developments. Combines breaking news with beginner-friendly tutorials on tools like ChatGPT, Claude, and NotebookLM. Covers everything from new robotics announcements to ethical considerations in AI.
Fast-paced coverage of the latest AI research, model releases, and industry developments. Combines breaking news with beginner-friendly tutorials on tools like ChatGPT, Claude, and NotebookLM. Covers everything from new robotics announcements to ethical considerations in AI.
News & analysis · Tutorials
IV. Subscribe
IV. Subscribe
The field, delivered to your inbox.
The field, delivered to your inbox.
Daily digests for staying current, and long-form writing for understanding why it matters.
Daily digests for staying current, and long-form writing for understanding why it matters.
Newsletters
Newsletters
Curated updates on research, policy, and practice.
Member pick
The Neuron
The Neuron
Daily AI newsletter for business professionals. Covers the latest AI news, product launches, and trends in a digestible format. Also features curated recommendations of the best AI tools by category, explainers on key AI topics, and a free Intro to ChatGPT course.
Daily AI newsletter for business professionals. Covers the latest AI news, product launches, and trends in a digestible format. Also features curated recommendations of the best AI tools by category, explainers on key AI topics, and a free Intro to ChatGPT course.
News & analysis · AI business
Member pick
AlphaSignal
AlphaSignal
5-minute technical digest for AI developers. Covers the latest breakthrough models, repos, and papers. Customizable by topic (language models, audio/speech, image/video, agents, robotics, dev tools) and tailored for researchers, developers, data scientists, and ML engineers.
5-minute technical digest for AI developers. Covers the latest breakthrough models, repos, and papers. Customizable by topic (language models, audio/speech, image/video, agents, robotics, dev tools) and tailored for researchers, developers, data scientists, and ML engineers.
Research · LLMs · News & analysis
TN
Totally Not Spam
Totally Not Spam
Newsletter about the intersection of AI and Trust & Safety by Alice Goguen Hunsberger of Musubi. Covers AI-powered moderation for social apps, marketplaces, and online communities.
Newsletter about the intersection of AI and Trust & Safety by Alice Goguen Hunsberger of Musubi. Covers AI-powered moderation for social apps, marketplaces, and online communities.
Safety & ethics · AI business
Member pick
Human in the Loop
Human in the Loop
Weekly insights on AI agents, tools, and real-world use cases by Andreas Horn. Covers GenAI innovation, curated tools, and tactical career advice for building and leading in an AI-first world.
Weekly insights on AI agents, tools, and real-world use cases by Andreas Horn. Covers GenAI innovation, curated tools, and tactical career advice for building and leading in an AI-first world.
AI business · News & analysis
The Trustible Newsletter
The Trustible Newsletter
Bi-weekly newsletter covering AI policy, AI governance best practices, and responsible AI adoption. From Trustible, a provider of responsible AI governance software for legal/risk and AI/ML teams.
Bi-weekly newsletter covering AI policy, AI governance best practices, and responsible AI adoption. From Trustible, a provider of responsible AI governance software for legal/risk and AI/ML teams.
Safety & ethics · AI business
AI Frontiers
AI Frontiers
Expert commentary on AI's impacts across technology, research, policy, regulation, jobs, economy, and security. Platform for dialogue and debate featuring perspectives from specialists across fields. Supported by the Center for AI Safety.
Expert commentary on AI's impacts across technology, research, policy, regulation, jobs, economy, and security. Platform for dialogue and debate featuring perspectives from specialists across fields. Supported by the Center for AI Safety.
Safety & ethics · Research · Thought leadership
Responsible Innovation Labs
Responsible Innovation Labs
Resources and frameworks for startups building responsibly. Covers responsible AI, GTM planning, data minimization, customer discovery, and making responsibility a competitive differentiator. Also offers builder programs, events, and a weekly newsletter on AI policy and responsible innovation.
Resources and frameworks for startups building responsibly. Covers responsible AI, GTM planning, data minimization, customer discovery, and making responsibility a competitive differentiator. Also offers builder programs, events, and a weekly newsletter on AI policy and responsible innovation.
Safety & ethics · AI business
ML Safety Newsletter
ML Safety Newsletter
Technical newsletter on machine learning safety research from Dan Hendrycks and the Center for AI Safety. Covers topics like AI scheming, prompt injection, deceptive reasoning, cyberattack capabilities, and safety benchmarks.
Technical newsletter on machine learning safety research from Dan Hendrycks and the Center for AI Safety. Covers topics like AI scheming, prompt injection, deceptive reasoning, cyberattack capabilities, and safety benchmarks.
Safety & ethics
Substacks
Substacks
Original analysis from leading voices in AI.
Member pick
Lenny's Newsletter
Lenny's Newsletter
Deeply researched advice on product, growth, and career. Features tactical frameworks and guides on topics like AI prototyping for PMs, evals, user growth strategies, and feedback. Also includes LennyBot, an AI assistant trained on the archive.
Deeply researched advice on product, growth, and career. Features tactical frameworks and guides on topics like AI prototyping for PMs, evals, user growth strategies, and feedback. Also includes LennyBot, an AI assistant trained on the archive.
AI business · Tutorials
OpenAI Global Affairs
OpenAI Global Affairs
Newsletter from OpenAI's Global Affairs team. Covers AI policy, energy infrastructure, US-China AI competition, federal and state AI legislation, and AI's impact on the economy and workforce.
Newsletter from OpenAI's Global Affairs team. Covers AI policy, energy infrastructure, US-China AI competition, federal and state AI legislation, and AI's impact on the economy and workforce.
Safety & ethics · Thought leadership
Language Models & Co (Jay Alammar)
Language Models & Co (Jay Alammar)
Jay Alammar's Substack covering large language models, their internals, and applications. Features illustrated deep-dives on topics like DeepSeek-R1, transformers, tokenizers, and LLM agents. Companion to his YouTube channel and the book "Hands-On Large Language Models."
Jay Alammar's Substack covering large language models, their internals, and applications. Features illustrated deep-dives on topics like DeepSeek-R1, transformers, tokenizers, and LLM agents. Companion to his YouTube channel and the book "Hands-On Large Language Models."
LLMs · Research · Deep dives · Tutorials
Member pick
One Useful Thing (Ethan Mollick)
One Useful Thing (Ethan Mollick)
Wharton professor Ethan Mollick on the implications of AI for work, education, and life. Research-based essays on AI agents, practical AI usage guides, and how AI is changing how we learn and work.
Wharton professor Ethan Mollick on the implications of AI for work, education, and life. Research-based essays on AI agents, practical AI usage guides, and how AI is changing how we learn and work.
AI business · Thought leadership
Dwarkesh
Dwarkesh
Original analysis on AI progress, scaling, infrastructure, and geopolitics. Mix of AI-focused pieces (RL efficiency, AGI timelines, fab buildouts) and broader intellectual explorations (history, science).
Original analysis on AI progress, scaling, infrastructure, and geopolitics. Mix of AI-focused pieces (RL efficiency, AGI timelines, fab buildouts) and broader intellectual explorations (history, science).
Deep dives · Research frontiers · Thought leadership
Latent Space
Latent Space
Technical newsletter for AI engineers covering AI UX, agents, dev tools, infrastructure, and open source models. Features deep-dives on coding agents, context engineering, and the AI startup landscape. Includes reading lists, event recaps, and exclusive interviews. Companion to the Latent Space Podcast.
Technical newsletter for AI engineers covering AI UX, agents, dev tools, infrastructure, and open source models. Features deep-dives on coding agents, context engineering, and the AI startup landscape. Includes reading lists, event recaps, and exclusive interviews. Companion to the Latent Space Podcast.
Interviews · LLMs · Research frontiers
AI Safety Newsletter
AI Safety Newsletter
Latest news on AI safety from the Center for AI Safety. Covers developments in AI policy, regulation, frontier model evaluations, and safety research. No technical background required.
Latest news on AI safety from the Center for AI Safety. Covers developments in AI policy, regulation, frontier model evaluations, and safety research. No technical background required.
Safety & ethics
Member pick
Interconnects (Nathan Lambert)
Interconnects (Nathan Lambert)
Essays, audio, and interviews on AI developments from Nathan Lambert. Covers open models, reinforcement learning, reasoning, and model training, at the border between high-level and technical thinking.
Essays, audio, and interviews on AI developments from Nathan Lambert. Covers open models, reinforcement learning, reasoning, and model training, at the border between high-level and technical thinking.
Interviews · Research · Deep dives
AI Law and Policy Syllabus (Nita Farahany)
AI Law and Policy Syllabus (Nita Farahany)
Duke Law professor Nita Farahany shares her AI Law & Policy course syllabus, reading list, and lecture summaries. Covers AI definitions, training data, deepfakes, and regulatory approaches. Paid subscription for full access.
Duke Law professor Nita Farahany shares her AI Law & Policy course syllabus, reading list, and lecture summaries. Covers AI definitions, training data, deepfakes, and regulatory approaches. Paid subscription for full access.
Safety & ethics · AI business · Thought leadership
Blogs
Blogs
In-depth writing from practitioners.
What's AI (Louis-François Bouchard)
What's AI (Louis-François Bouchard)
Blog and resources from Louis-François Bouchard, co-founder at Towards AI. Covers LLMs, AI agents, prompt engineering, and practical guides for building with AI. Offers free learning guides, courses (Python for AI, LLM development), and a newsletter. Accessible for both beginners and developers.
Blog and resources from Louis-François Bouchard, co-founder at Towards AI. Covers LLMs, AI agents, prompt engineering, and practical guides for building with AI. Offers free learning guides, courses (Python for AI, LLM development), and a newsletter. Accessible for both beginners and developers.
Tutorials · LLMs
Women in AI Ethics
Women in AI Ethics
Blog from Women in AI Ethics (WAIE), elevating diverse voices in responsible AI since 2018. Features career journey interviews, the annual "100 Brilliant Women in AI Ethics" list, book recommendations, and commentary on AI ethics issues like deepfakes, accessibility, and inclusion.
Blog from Women in AI Ethics (WAIE), elevating diverse voices in responsible AI since 2018. Features career journey interviews, the annual "100 Brilliant Women in AI Ethics" list, book recommendations, and commentary on AI ethics issues like deepfakes, accessibility, and inclusion.
Safety & ethics · Thought leadership
V. Follow
V. Follow
Follow the people doing the work.
Follow the people doing the work.
The fastest way to keep up is to follow practitioners directly, then talk with them. These are AI Circle members, accounts, and communities worth your time.
The fastest way to keep up is to follow practitioners directly, then talk with them. These are AI Circle members, accounts, and communities worth your time.
AI Circle members to follow
AI Circle members to follow
Researchers and operators from the community.
AS
Machine Learning Scientist · Avanade
Abonia Sojasingarayar
Abonia Sojasingarayar
Distinguished machine learning scientist, LLM and NLP engineer, and technical book reviewer. Author of a free eBook on industrializing NLP and LLMs.
Distinguished machine learning scientist, LLM and NLP engineer, and technical book reviewer. Author of a free eBook on industrializing NLP and LLMs.
AH
Head of AIOps · IBM
Andreas Horn
Andreas Horn
Oversees IBM's AIOps service portfolio across EMEA, helping enterprises deploy reliable AI systems. Top AI voice on LinkedIn known for practical insights on foundation models, agentic AI, and LLM infrastructure.
Oversees IBM's AIOps service portfolio across EMEA, helping enterprises deploy reliable AI systems. Top AI voice on LinkedIn known for practical insights on foundation models, agentic AI, and LLM infrastructure.
EO
Generative AI Lead · AWS
Eduardo Ordax
Eduardo Ordax
15+ years in AI/ML and business development. Go-to-market lead for AWS AI and ML services in EMEA. Creates widely shared educational content on agentic AI patterns, RAG architectures, and prompt engineering.
15+ years in AI/ML and business development. Go-to-market lead for AWS AI and ML services in EMEA. Creates widely shared educational content on agentic AI patterns, RAG architectures, and prompt engineering.
TH
CEO & Founder · Optica Labs
Tiarne Hawkins
Tiarne Hawkins
15+ years in digital transformation with 7+ years leading AI initiatives. Founded Optica Labs to secure AI systems through adaptive stress testing and vulnerability detection. Host of the "You & AI" podcast.
15+ years in digital transformation with 7+ years leading AI initiatives. Founded Optica Labs to secure AI systems through adaptive stress testing and vulnerability detection. Host of the "You & AI" podcast.
HY
EMEA Generative AI Solutions Architect · Mistral AI
Dr. Han Héloir-Yan
Dr. Han Héloir-Yan
PhD in Computer Science with 15+ years across financial software, telecom, SaaS, and cloud. Guides large enterprises through LLM integration, vector search, and cloud-native deployments. Previously AI Solutions Architect Lead at MongoDB.
PhD in Computer Science with 15+ years across financial software, telecom, SaaS, and cloud. Guides large enterprises through LLM integration, vector search, and cloud-native deployments. Previously AI Solutions Architect Lead at MongoDB.
JL
Founder & CEO · Rostra
John Larson
John Larson
15+ years as an AI and technology executive (ex-McKinsey). Rostra helps investors and management teams bridge the gap between AI research and commercial success. Fractional Chief AI Officer at SYNTHESIS.
15+ years as an AI and technology executive (ex-McKinsey). Rostra helps investors and management teams bridge the gap between AI research and commercial success. Fractional Chief AI Officer at SYNTHESIS.
AP
Product Executive & Builder · AWS
Akshay Patel
Akshay Patel
20+ years building and scaling software companies. Leads global SaaS, AI, and agentic SaaS strategy at AWS. Angel investor, executive coach, and public speaker.
20+ years building and scaling software companies. Leads global SaaS, AI, and agentic SaaS strategy at AWS. Angel investor, executive coach, and public speaker.
PG
AI Capability Lead · LMArena
Peter Gostev
Peter Gostev
AI strategy leader focused on business strategy, product management, and team leadership. Previously led AI at Moonpig.
AI strategy leader focused on business strategy, product management, and team leadership. Previously led AI at Moonpig.
MM
Senior Technical PM · Microsoft Research
Maya Murad
Maya Murad
Product manager at Microsoft's AI Frontiers Research Lab, working on new architectures and learning signals. Previously Technical PM at IBM Research. Writes about AI agents, browser-use agents, and human-agent collaboration.
Product manager at Microsoft's AI Frontiers Research Lab, working on new architectures and learning signals. Previously Technical PM at IBM Research. Writes about AI agents, browser-use agents, and human-agent collaboration.
VK
Staff Software Engineer · Google
Vladimir Karpukhin
Vladimir Karpukhin
Co-author of the foundational RAG and Dense Passage Retrieval papers while at Meta AI Research. Previously Lead AI Research Engineer at Arcee.ai and Senior ML Engineer at Meta.
Co-author of the foundational RAG and Dense Passage Retrieval papers while at Meta AI Research. Previously Lead AI Research Engineer at Arcee.ai and Senior ML Engineer at Meta.
AB
VP of Marketing · Bland
Alanna Brown
Alanna Brown
Product marketing leader who has scaled startups from $0 to $150M ARR. Creator of the State of DevOps Report and co-founder of DORA (acquired by Google Cloud).
Product marketing leader who has scaled startups from $0 to $150M ARR. Creator of the State of DevOps Report and co-founder of DORA (acquired by Google Cloud).
AR
Founder · Perle
Ahmed Rashad
Ahmed Rashad
Founder of Perle, a human data company. Previously at Scale AI during its hypergrowth from Series C to Series E, with earlier experience at Amazon, McKinsey, and Oracle.
Founder of Perle, a human data company. Previously at Scale AI during its hypergrowth from Series C to Series E, with earlier experience at Amazon, McKinsey, and Oracle.
On X
On X
Accounts that share signal, not noise.
Member pick
Aadit Sheth
Aadit Sheth
Co-founder of The Narrative Company, investor and entrepreneur. Shares threads, posts, and breakdowns on AI, narratives, and communication, with playbooks shared openly.
Co-founder of The Narrative Company, investor and entrepreneur. Shares threads, posts, and breakdowns on AI, narratives, and communication, with playbooks shared openly.
AI business · Thought leadership
Member pick
Ethan Mollick
Ethan Mollick
Wharton professor researching AI's impact on education, work, and innovation, and co-founder of Wharton Interactive. Shares practical insights on using AI effectively, with a focus on how it's changing how we learn and work.
Wharton professor researching AI's impact on education, work, and innovation, and co-founder of Wharton Interactive. Shares practical insights on using AI effectively, with a focus on how it's changing how we learn and work.
AI business · Thought leadership
Member pick
MIT Sloan Management Review
MIT Sloan Management Review
Research-backed insights on leadership, management, and the future of work, including AI's impact on business strategy.
Research-backed insights on leadership, management, and the future of work, including AI's impact on business strategy.
AI business · Thought leadership
Jay Alammar
Jay Alammar
Shares updates on his books and visual guides, celebrates open-source ML tools, and posts interactive visualizations of AI research.
Shares updates on his books and visual guides, celebrates open-source ML tools, and posts interactive visualizations of AI research.
Thought leadership · News & analysis · LLMs
Andrej Karpathy
Andrej Karpathy
Shares thoughts on AI industry developments, how programming is changing with AI tools, and reflections on learning. Also announces his YouTube deep dives here.
Shares thoughts on AI industry developments, how programming is changing with AI tools, and reflections on learning. Also announces his YouTube deep dives here.
Thought leadership · LLMs · AI business · News & analysis
Learn Prompting
Learn Prompting
Creators of the internet's first prompt engineering guide. Shares breakdowns of prompting techniques (like Chain-of-Thought), summaries of the latest prompting research papers, updates on HackAPrompt competitions, and events.
Creators of the internet's first prompt engineering guide. Shares breakdowns of prompting techniques (like Chain-of-Thought), summaries of the latest prompting research papers, updates on HackAPrompt competitions, and events.
LLMs · Tutorials
Communities to join
Communities to join
Servers where builders trade ideas in real time.
Cohere
Cohere
Official community server for Cohere. Features channels for API discussions and troubleshooting, a "Live Builds" section where members showcase their Cohere-powered projects, and research discussions covering LLMs and NLP advances. Good for developers building with Cohere's API and anyone interested in enterprise AI applications.
Official community server for Cohere. Features channels for API discussions and troubleshooting, a "Live Builds" section where members showcase their Cohere-powered projects, and research discussions covering LLMs and NLP advances. Good for developers building with Cohere's API and anyone interested in enterprise AI applications.
LLMs · AI business
OpenAI
OpenAI
Official OpenAI community server. Themed galleries for sharing AI-generated images, channels for prompt help, general discussion of AI news, community Q&A, and updates on OpenAI announcements.
Official OpenAI community server. Themed galleries for sharing AI-generated images, channels for prompt help, general discussion of AI news, community Q&A, and updates on OpenAI announcements.
Generative AI
Midjourney
Midjourney
Official community for Midjourney, the AI image generation tool, and one of the largest Discord servers in the world. Features prompt help channels, community galleries organized by theme, and spaces to share edits and real-world projects. Free to join and browse; a subscription is required to create images.
Official community for Midjourney, the AI image generation tool, and one of the largest Discord servers in the world. Features prompt help channels, community galleries organized by theme, and spaces to share edits and real-world projects. Free to join and browse; a subscription is required to create images.
Generative AI
Learn Prompting
Learn Prompting
Community server focused on prompt engineering education and prompt hacking competitions. Learn prompt engineering fundamentals, compete in HackAPrompt challenges, or browse channels for AI image prompts, resource sharing, and AI news. Skill levels range from GenAI beginners to ML engineers.
Community server focused on prompt engineering education and prompt hacking competitions. Learn prompt engineering fundamentals, compete in HackAPrompt challenges, or browse channels for AI image prompts, resource sharing, and AI news. Skill levels range from GenAI beginners to ML engineers.
LLMs
r/Singularity
r/Singularity
Community server for discussing AGI, futurism, and the future of AI development. Channels for sharing AI news, making predictions, and discussing robotics, space exploration, virtual reality, life extension, and philosophy. Casual and speculative rather than technical.
Community server for discussing AGI, futurism, and the future of AI development. Channels for sharing AI news, making predictions, and discussing robotics, space exploration, virtual reality, life extension, and philosophy. Casual and speculative rather than technical.
News & analysis
Learn AI Together
Learn AI Together
Large educational community covering the full spectrum of AI/ML learning. Reading groups, applied workshops, learning seminars, and live coding sessions across NLP, computer vision, generative AI, reinforcement learning, and ethics. Structured roadmaps for beginners, career help, and project sharing. Welcomes all levels.
Large educational community covering the full spectrum of AI/ML learning. Reading groups, applied workshops, learning seminars, and live coding sessions across NLP, computer vision, generative AI, reinforcement learning, and ethics. Structured roadmaps for beginners, career help, and project sharing. Welcomes all levels.
Tutorials · ML fundamentals · LLMs
Data Science
Data Science
Practical help community for data science, ML, programming, and analytics. Members ask and answer questions across Python, R, math and stats, MLOps, generative AI, and career advice. Includes a resource library with recommended books and courses.
Practical help community for data science, ML, programming, and analytics. Members ask and answer questions across Python, R, math and stats, MLOps, generative AI, and career advice. Includes a resource library with recommended books and courses.
ML fundamentals
TensorFlow
TensorFlow
Unofficial community server for users of TensorFlow, Google's open-source machine learning framework. Support channels for Python and JavaScript, plus broader ML topics including CNNs, GANs, reinforcement learning, NLP, and AI ethics. Includes ML job boards and a show-and-tell channel for projects.
Unofficial community server for users of TensorFlow, Google's open-source machine learning framework. Support channels for Python and JavaScript, plus broader ML topics including CNNs, GANs, reinforcement learning, NLP, and AI ethics. Includes ML job boards and a show-and-tell channel for projects.
ML fundamentals
VI. Learn
VI. Learn
Courses and certifications worth your time.
Courses and certifications worth your time.
Structured learning for when you want depth, credentials, or both. Most start free.
Structured learning for when you want depth, credentials, or both. Most start free.
Courses
Courses
Free and paid learning paths from the companies building the tools.
Cohere LLM University
Cohere LLM University
Free curriculum covering LLM fundamentals (embeddings, transformers, attention) alongside practical modules on semantic search, prompt engineering, RAG, and tool use. Good for learning core LLM concepts with hands-on API practice.
Free curriculum covering LLM fundamentals (embeddings, transformers, attention) alongside practical modules on semantic search, prompt engineering, RAG, and tool use. Good for learning core LLM concepts with hands-on API practice.
AWS Skill Builder
AWS Skill Builder
AWS's official learning platform with 1,000+ free resources plus subscription labs and certification prep. Covers AI/ML, generative AI, cloud architecture, and all AWS services.
AWS's official learning platform with 1,000+ free resources plus subscription labs and certification prep. Covers AI/ML, generative AI, cloud architecture, and all AWS services.
NVIDIA Deep Learning Institute
NVIDIA Deep Learning Institute
Free and paid training in deep learning, AI, and GPU-accelerated computing with hands-on cloud GPU environments. Self-paced courses (1-8 hours) and instructor-led workshops across computer vision, NLP, robotics, and data science.
Free and paid training in deep learning, AI, and GPU-accelerated computing with hands-on cloud GPU environments. Self-paced courses (1-8 hours) and instructor-led workshops across computer vision, NLP, robotics, and data science.
Databricks Academy
Databricks Academy
Free introductory courses and paid certification tracks covering data engineering, ML, generative AI (including RAG), and SQL analytics on the Databricks platform.
Free introductory courses and paid certification tracks covering data engineering, ML, generative AI (including RAG), and SQL analytics on the Databricks platform.
Microsoft Learn
Microsoft Learn
Free modules and learning paths across Azure AI, Copilot, machine learning, and responsible AI, with sandbox environments and certification exam prep.
Free modules and learning paths across Azure AI, Copilot, machine learning, and responsible AI, with sandbox environments and certification exam prep.
IBM Developer AI
IBM Developer AI
Free courses and guided projects covering machine learning, generative AI, data science, and application development, from foundational concepts to hands-on implementation.
Free courses and guided projects covering machine learning, generative AI, data science, and application development, from foundational concepts to hands-on implementation.
DeepLearning.AI
DeepLearning.AI
AI education company founded by Andrew Ng offering specializations on Coursera and free short courses on its own platform. Covers machine learning fundamentals through advanced topics like LLMs, prompt engineering, and agentic AI.
AI education company founded by Andrew Ng offering specializations on Coursera and free short courses on its own platform. Covers machine learning fundamentals through advanced topics like LLMs, prompt engineering, and agentic AI.
Coursera
Coursera
Major online learning platform hosting courses and certificates from Google, IBM, Microsoft, Meta, and universities. Many courses are free to audit; Coursera Plus provides unlimited access.
Major online learning platform hosting courses and certificates from Google, IBM, Microsoft, Meta, and universities. Many courses are free to audit; Coursera Plus provides unlimited access.
BlueDot Impact
BlueDot Impact
Nonprofit offering free cohort-based courses on AI safety, alignment, and governance with facilitated group discussions. Includes a short self-paced intro, "The Future of AI," and intensive 25-30 hour programs with strong career support.
Nonprofit offering free cohort-based courses on AI safety, alignment, and governance with facilitated group discussions. Includes a short self-paced intro, "The Future of AI," and intensive 25-30 hour programs with strong career support.
All Tech Is Human: Responsible AI Courses
All Tech Is Human: Responsible AI Courses
Free series of five short courses on responsible AI covering principles, history, business case, roles, and operational best practices. Completable in a few hours with a certificate of completion.
Free series of five short courses on responsible AI covering principles, history, business case, roles, and operational best practices. Completable in a few hours with a certificate of completion.
Labelbox Library
Labelbox Library
Guides and tutorials on data labeling, model-assisted labeling, active learning, and GenAI evaluation workflows. Best for practitioners working on data-centric AI.
Guides and tutorials on data labeling, model-assisted labeling, active learning, and GenAI evaluation workflows. Best for practitioners working on data-centric AI.
Certifications
Certifications
Credentials recognized by employers.
Free
Data Gradient Certificates
Data Gradient Certificates
Free courses and certificates for AI training and evaluation work, from understanding AI systems to prompt writing and context engineering. Pass the assessment to earn a certificate you can share.
Free courses and certificates for AI training and evaluation work, from understanding AI systems to prompt writing and context engineering. Pass the assessment to earn a certificate you can share.
AI data work · Annotation · Evaluation
US
United States Artificial Intelligence Institute (USAII)
United States Artificial Intelligence Institute (USAII)
Globally recognized AI certification body offering four credential tracks for Engineers, Consultants, Scientists, and Transformation Leaders. Self-paced programs (4-25 weeks) require no coding prerequisites and cater to professionals from entry-level to C-suite.
Globally recognized AI certification body offering four credential tracks for Engineers, Consultants, Scientists, and Transformation Leaders. Self-paced programs (4-25 weeks) require no coding prerequisites and cater to professionals from entry-level to C-suite.
Artificial Intelligence Board of America (ARTiBA)
Artificial Intelligence Board of America (ARTiBA)
Global AI credentialing body offering engineer, chartered engineering, and business professional certifications built on vendor-neutral standards. Validates applied competence in ML pipelines, model deployment, and system architecture.
Global AI credentialing body offering engineer, chartered engineering, and business professional certifications built on vendor-neutral standards. Validates applied competence in ML pipelines, model deployment, and system architecture.
IA
Intel AI Training
Intel AI Training
Free, self-paced courses for developers and data scientists to optimize AI on Intel hardware. Covers computer vision, deep learning inference, edge AI, and OpenVINO, with hands-on labs and optional certification exams.
Free, self-paced courses for developers and data scientists to optimize AI on Intel hardware. Covers computer vision, deep learning inference, edge AI, and OpenVINO, with hands-on labs and optional certification exams.
DataCamp Certifications
DataCamp Certifications
Industry-recognized certifications for Data Analyst, Data Scientist, Data Engineer, and AI Engineer roles. Combines timed exams with practical case-study assessments in Python, R, or SQL. Included with a premium subscription.
Industry-recognized certifications for Data Analyst, Data Scientist, Data Engineer, and AI Engineer roles. Combines timed exams with practical case-study assessments in Python, R, or SQL. Included with a premium subscription.
Coursera Professional Certificates
Coursera Professional Certificates
Professional certificates from Google, IBM, Microsoft, Meta, DeepLearning.AI, and more, designed to make learners with no prior experience job-ready in 3-6 months. Covers data science, AI/ML, and more with hands-on projects.
Professional certificates from Google, IBM, Microsoft, Meta, DeepLearning.AI, and more, designed to make learners with no prior experience job-ready in 3-6 months. Covers data science, AI/ML, and more with hands-on projects.
NVIDIA Certification Program
NVIDIA Certification Program
Professional credentials validating expertise in NVIDIA technology. Associate (NCA) and Professional (NCP) exams cover tracks like agentic AI, InfiniBand networking, and accelerated data science. The standard for engineers working in AI factories.
Professional credentials validating expertise in NVIDIA technology. Associate (NCA) and Professional (NCP) exams cover tracks like agentic AI, InfiniBand networking, and accelerated data science. The standard for engineers working in AI factories.
Free certificates · Data Gradient
Want a credential for AI data work?
Want a credential for AI data work?
Data Gradient offers free courses and certificates for AI training and evaluation work. Learn the craft, pass the assessment, and get a certificate you can share.
Data Gradient offers free courses and certificates for AI training and evaluation work. Learn the craft, pass the assessment, and get a certificate you can share.
Browse DG courses ↗
Toolkits & references
Toolkits & references
Reference sheets and guides you can use today.
List of 700+ AI Foundation Models
List of 700+ AI Foundation Models
Comprehensive spreadsheet tracking 700+ AI foundation models with key specs: parameters, training tokens, benchmark scores (MMLU, GPQA, HLE), and ALScore ratings. Useful for comparing model capabilities and scale.
Comprehensive spreadsheet tracking 700+ AI foundation models with key specs: parameters, training tokens, benchmark scores (MMLU, GPQA, HLE), and ALScore ratings. Useful for comparing model capabilities and scale.
LLMs
OpenAI: A Practical Guide to Building Agents
OpenAI: A Practical Guide to Building Agents
OpenAI's official framework for building AI agents. Covers when to use agents, how to design them (model selection, tools, instructions), and how to scale from single to multi-agent systems. Includes essential guardrails like safety classifiers, PII filters, and risk-scored tool access.
OpenAI's official framework for building AI agents. Covers when to use agents, how to design them (model selection, tools, instructions), and how to scale from single to multi-agent systems. Includes essential guardrails like safety classifiers, PII filters, and risk-scored tool access.
Tutorials · AI business
FirstMark MAD Landscape 2025
FirstMark MAD Landscape 2025
FirstMark's map of 1,400+ companies across the Machine Learning, AI, and Data ecosystem, organized by category: applications and agents, infrastructure, ML and AI (build, validate, operate, research), and data sources. The definitive reference for who's who in the AI landscape.
FirstMark's map of 1,400+ companies across the Machine Learning, AI, and Data ecosystem, organized by category: applications and agents, infrastructure, ML and AI (build, validate, operate, research), and data sources. The definitive reference for who's who in the AI landscape.
AI business
VII. The landscape
VII. The landscape
Who’s building what in AI.
Who’s building what in AI.
A working map of 140+ companies across the stack. Filter by layer or search by name. AI Circle partners are marked.
A working map of 140+ companies across the stack. Filter by layer or search by name. AI Circle partners are marked.
All
Models & Research
Compute
Build
Data
Trust
Applications
AI Developer Platforms
LangChain
LangChain
Open-source framework for building AI agents, with LangSmith for observability, evaluation, and deployment.
AI Developer Platforms
LlamaIndex
LlamaIndex
Platform for enterprise document processing and document-powered AI agents, plus an open-source framework for RAG and workflows.
AI Developer Platforms
Hugging Face
Hugging Face
Open-source hub hosting over a million ML models, datasets, and demo apps.
AI Developer Platforms
Lightning AI
Lightning AI
Cloud platform for building, training, and deploying AI models from the browser with zero infrastructure setup.
AI Developer Platforms
Contextual AI
Contextual AI
Enterprise RAG platform for building agents grounded in company data, founded by the creators of RAG.
AI Developer Platforms
Vercel
Vercel
Frontend cloud platform whose AI SDK powers AI apps and generated UI.
AI Developer Platforms
Arcee
Arcee
AI lab building efficient, open-weight language models for production from edge to cloud.
AI Developer Platforms
Anyscale
Anyscale
Compute platform from the creators of Ray for scaling training, inference, and data processing.
Local LLM Runtimes
LM Studio
LM Studio
Desktop app for running LLMs locally with a built-in chat UI and OpenAI-compatible API.
Local LLM Runtimes
Nexa AI
Nexa AI
On-device AI platform for running LLM, vision, and audio models across CPUs, GPUs, and NPUs.
Agent Platforms
Microsoft AutoGen
Microsoft AutoGen
Open-source framework for multi-agent systems with asynchronous messaging and built-in observability.
Agent Platforms
CR
CrewAI
CrewAI
Open-source framework and cloud platform for building role-based multi-agent systems.
Agent Platforms
Microsoft Copilot Studio
Microsoft Copilot Studio
Low-code platform for building agents connected to business data and published across Teams and the web.
Agent Platforms
Vertex AI Agent Builder
Vertex AI Agent Builder
Google Cloud platform for building, deploying, and governing enterprise agents with access to 200+ models.
Agent Platforms
SA
Salesforce Agentforce
Salesforce Agentforce
Autonomous agents across Salesforce Customer 360 for sales, service, marketing, and commerce.
Agent Platforms
LangGraph
LangGraph
Framework for complex single- and multi-agent workflows with loops, branches, and human-in-the-loop checks.
Agent Platforms
ServiceNow
ServiceNow
Now Assist embeds AI search, summarization, and agents across IT, HR, and customer service workflows.
Agent Platforms
Writer
Writer
Enterprise generative AI platform for custom agents and workflows with brand-voice guardrails.
Agent Platforms
Glean
Glean
Enterprise search, assistant, and agents on a permission-aware knowledge graph across 100+ workplace apps.
Agent Platforms
Lyzr AI
Lyzr AI
Low-code agent framework with pre-built RAG pipelines, deployable on private cloud.
Agent Platforms
Dust
Dust
No-code enterprise agents for sales, marketing, and support, connected to company knowledge.
Agent Platforms
Vellum
Vellum
Build agents via chat, low-code, or code, with evaluations and production monitoring.
Agent Infrastructure
Microsoft Semantic Kernel
Microsoft Semantic Kernel
Open-source SDK for integrating LLMs and agents into C#, Python, or Java code bases.
VIII. Keep going
VIII. Keep going
Reading is the start. The room is the rest.
Reading is the start. The room is the rest.
The fastest way to keep up is to be in conversation with the people doing the work. Here’s where AI Circle picks up where this list leaves off.
The fastest way to keep up is to be in conversation with the people doing the work. Here’s where AI Circle picks up where this list leaves off.
The Brief
The Brief
Frontier research explained by the practitioners developing it. Our own long-form reads.
Events
Events
Chapter dinners, conference sidecars, and panels in eight cities. RSVP on Luma.
Membership
Membership
Fellows bring the work. Members make the rooms possible. Both enter by review.
Suggest a resource
Suggest a resource
This is a living list. If something shaped how you think about AI, tell us.
Apply to AI Circle