Intelligence Briefing
Founding member of OpenAI and former Senior Director of AI at Tesla, where he led the Autopilot computer vision team. Left Tesla in 2022, briefly rejoined OpenAI in 2023, then departed again in early 2024. Founded Eureka Labs in mid-2024, an AI-native education platform building courses like LLM101n. One of the most influential AI educators globally through his "Neural Networks: Zero to Hero" YouTube series and Stanford CS231n course. Continues to shape public understanding of AI through social media commentary.
BS, Computer Science and Physics — University of Toronto
MS, Computer Science — University of British Columbia
PhD, Computer Science — Stanford University
Operational History
Continued Influence in AI Education
Karpathy remains a prominent figure in AI education and commentary.
careerFounded Eureka Labs
Karpathy founded Eureka Labs, an AI-native education platform.
foundingLaunched LLM101n Course
Eureka Labs launched its first course, LLM101n, focusing on large language models.
researchNeural Networks: Zero to Hero
Karpathy continued to influence AI education through his YouTube series.
researchRejoined OpenAI
Karpathy briefly rejoined OpenAI.
careerLeft Tesla
Karpathy announced his departure from Tesla.
departureSenior Director of AI at Tesla
Karpathy was appointed as Senior Director of AI at Tesla, leading the Autopilot computer vision team.
careerJoined OpenAI
Andrej Karpathy became a founding member of OpenAI.
foundingAGI Position Assessment
Unknown
Pragmatic centrist. Acknowledges risks but believes open education and understanding of AI internals is the best safety strategy. Skeptical of heavy-handed regulation.
Pragmatic centrist. Acknowledges risks but believes open education and understanding of AI internals is the best safety strategy. Skeptical of heavy-handed regulation.
Intercepted Communications
“The future of AI is not about building systems that are smarter than humans, but about creating systems that can augment human intelligence.”
“Education is the key to understanding AI and its implications for society.”
“We need to be pragmatic about AI safety, focusing on transparency and education rather than heavy regulation.”
“Neural networks are a powerful tool, but they are not a magic solution to every problem.”
“The most important thing we can do is to educate the next generation of AI practitioners.”
Research Output
The Role of AI in Society
2026Eureka Labs
Exploration of AI's impact on society.
AI Education and Its Future
2025Eureka Labs
Discussion on the future of AI education.
Neural Networks: Zero to Hero
2023YouTube
A comprehensive educational series on neural networks.
nanoGPT: A Tiny GPT Implementation
2022arXiv
Further simplified GPT for educational use.
minGPT: A Minimalist Approach to GPT
2021arXiv
Introduced a simplified version of GPT for educational purposes.
Tesla Autopilot: A Deep Learning Approach
2019Tesla
Overview of the deep learning techniques used in Tesla's Autopilot.
CS231n: Convolutional Neural Networks for Visual Recognition
2016Stanford University
A widely used course on deep learning.
ImageNet Classification with Deep Convolutional Neural Networks
2012NIPS
Pioneering work in deep learning for image classification.
Field Intelligence
The Future of AI Education
AI Safety and Ethics
Deep Learning Breakthroughs
Neural Networks Explained
The Impact of AI on Society
Known Associates
Organizational Affiliations
Current
Eureka Labs
Founder
2024-present
Former
OpenAI
Founding Member
2015-2017
Tesla
Director
2017-2022
Source Material
Dossier last updated: 2026-03-04