Making Ginkgo Bioworks easier to understand
Platform | Substack | Pricing | Only free issues | Publishes | Weekly |
---|---|---|---|---|---|
Issues | 43 | Subscribers | Read | foundrytheory.substack.com |
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> Sequence-based LLMs learn patterns from proteins found in nature. So what happens when you want to engineer a function that's not found in nature? Today we're looking at some results from AA-0, the first model on Ginkgo's new AI developer...
> How good is AI for biotech going to get? I don't know. But maybe if we understand what AI can't do, we'll get clearer on what it might do. Today, we're talking about theoretical limits on bio AI.
> I love robots but they haven't always loved me back. Today we're talking about why scientists fight lab automation and how we could maybe all just get along.
> An automated lab is like a metabolic network. No really hear me out, I think I'm onto something.
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The writers behind this newsletter.
I am Ginkgo’s Developer Evangelist, here to make synthetic biology easier to understand. I have a PhD in Systems Biology from Harvard University. Before coming to Ginkgo I was a research group leader in Paris, France.
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