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Andrej Karpathy
Slovak-Canadian computer scientist
Andrej Karpathy is a leading figure in the field of Artificial Intelligence with a strong academic background and professional experience in top tech companies.
He holds a PhD in Computer Science from Stanford University, a MSc in Computer Science from The University of British Columbia, and a BSc in Computer Science and Physics from the University of Toronto.
With a rich educational background, he has worked in various prestigious organizations including roles as the Senior Director of Artificial Intelligence and previously as the Director of Artificial Intelligence at Tesla.
Before his time at Tesla, Andrej was a Research Scientist at OpenAI and gained industry experience through internships at Google DeepMind and Google.
Throughout his career, Andrej Karpathy has made significant contributions to the field of Artificial Intelligence, particularly in the areas of deep learning and machine learning.
Highlights
Anyone else approved for a loan every single day 20 times or so? Overcome with joy, really https://t.co/zInPQDur5h

A lot of people quote tweeted this as 1 year anniversary of vibe coding. Some retrospective -
I've had a Twitter account for 17 years now (omg) and I still can't predict my tweet engagement basically at all. This was a shower of thoughts throwaway tweet that I just fired off without thinking but somehow it minted a fitting name at the right moment for something that a lot of people were feeling at the same time, so here we are: vibe coding is now mentioned on my Wikipedia as a major memetic "contribution" and even its article is longer. lol
The one thing I'd add is that at the time, LLM capability was low enough that you'd mostly use vibe coding for fun throwaway projects, demos and explorations. It was good fun and it almost worked. Today (1 year later), programming via LLM agents is increasingly becoming a default workflow for professionals, except with more oversight and scrutiny. The goal is to claim the leverage from the use of agents but without any compromise on the quality of the software. Many people have tried to come up with a better name for this to differentiate it from vibe coding, personally my current favorite "agentic engineering":
- "agentic" because the new default is that you are not writing the code directly 99% of the time, you are orchestrating agents who do and acting as oversight.
- "engineering" to emphasize that there is an art & science and expertise to it. It's something you can learn and become better at, with its own depth of a different kind.
In 2026, we're likely to see continued improvements on both the model layer and the new agent layer. I feel excited about the product of the two and another year of progress.


