A new antibiotic discovery shows the promise, but also the limitations, of artificial intelligence 🔎 theipaper's science writer StuartJRitchie explains
The research in the newest antibiotic paper – and indeed the algorithm used in ChatGPT – is an even more complexcalled “deep learning”. In deep learning, it’s not that you tell the algorithm which features of a dataset you think are important and it learns them. In deep learning, the algorithm has a great deal more complexity, and can learn without so much human intervention, deciding for itself what the most important features of a dataset are.
That’s where the new study comes in. The data in this case weren’t texts or pictures, but molecules that were known to slow the growth of one particularly nasty bacterium,. Even though we knew about these antibiotic molecules already, we urgently need to find other ones. That’s becauseto develop resistance, meaning that we might in future run out of drugs that work to kill it.
So the “AI” used in this new study is deep learning, which has been around for a long time; it has a common underlying statistical model with systems like ChatGPT, but – just to be clear – would’ve come about in a world where ChatGPT was never invented.zeitgeisttheir press release
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