AutoResearch - AI Build & Learn #4

​​Welcome to AI Build & Learn a weekly AI engineering stream where we pick a new topic and learn by building together.

​​​This event is about AutoResearch from Andrej Karpathy.

​The idea: give an AI agent a small but real LLM training setup and let it experiment autonomously overnight. It modifies the code, trains for 5 minutes, checks if the result improved, keeps or discards, and repeats. You wake up in the morning to a log of experiments and (hopefully) a better model.

​https://github.com/karpathy/autoresearch

​​​Resources

• ​​​GitHub: https://github.com/sagecodes/ai-build-and-learn

• ​​​Events Calendar: https://luma.com/ai-builders-and-learners

• ​​​Slack (Discuss during the week): https://slack.flyte.org/

• ​​​Hosted by Sage Elliott: https://www.linkedin.com/in/sageelliott/

​​In this stream

• ​​​AutoResearch

• ​​​Hands-on demo

• ​​​Community Discussion + practical examples

​​​Community challenge (optional)

​​​Try spending 30–90 minutes during the week learning or building something related to the topic, then share what you’re working on in Slack.

​​​Note on Flyte / Union

​​​You may see Flyte used in some demos. Flyte is an open-source AI orchestration platform maintained by Union (where I work) for building scalable, durable, and observable AI workflows. You do not need to use Flyte to participate.

• ​​​Union: https://www.union.ai/

• ​​​Flyte: https://flyte.org/

​​​Drop a comment with ideas for future topics (agents, RAG, MLOps, robotics, frameworks, and more).