A fully autonomous machine learning engineering agent. A benchmark that matters. And a question that cuts deeper than the hype: when a machine does the work, what happens to the learning part?
The race to automate software engineering is expanding to new territory: machine learning.
Neo is a fully autonomous machine learning engineering agent that handles the entire pipeline from problem statement to deployed model.
Built by Gaurav and Saurabh Vij, Neo topped the MLE-Bench leaderboard and compressed a six-month production effort into one week.
The harder question Neo raises - whether agentic AI accelerates learning or hollows it out - remains open.
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