Bad take.
Technology on the production line doesn’t exempt them from quality control nor clinical trials. And as several others have noted, AI is already being used for drug discovery, and automation has long been the goal for repetitive menial tasks like pipetting.
Don’t be an anti-vaxxer just because they don’t use homegrown, organic needles.
This is the stuff ML was actually good at.
And the tech bros are making people swear off it entirely because of their scams…
Using computers and simulations is good, actually.
Vast parameter spaces cannot be robustly explored by experimental means. Medicine has been using ML for a while now and for good reason. AI and ML is much more than LLMs or whatever the current poster child is.
Medicine discovery is one of the few fields with ai where the juice is worth the squeeze. Filtering through billions of different molecule geometries to compare them all to eachother is a task that ai does well and humans do extremely slowly
The issue is the overloading of the word “AI”.
“Machine Learning using Neural Networks” is a technique that can come up with decent but rough solutions to problems where it’s hard to come up with any solution.
“Large Language Models” is the application of “Machine Learning using Neural Networks” to natural language processing, and it is incredibly good at that.
The problem comes when people apply models trained for natural language processing onto other random problems just because you can formulate anything as a natural language problem.
