Tim Proctor nag-retweet
Have learned a lot building and deploying frontier agents into pharma over the past few months. Believe progress in biotech will be faster than many anticipate, and we can learn a lot from how software is unfolding.
It’s unlikely biology will jump straight to fully autonomous AI scientists. Like software, agents first get useful where work is executable, feedback-rich, and economically bottlenecked. In software, that substrate is code. In biology, it is measurement-grounded data analysis.
As agents reliably turn raw molecular data into trusted scientific outputs, they become the interface through which AI starts to understand biology. Essay below:
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