MolQuest is Changing the Game for AI in Science
MolQuest is here to shake up how we test AI in scientific discovery. With a fresh approach to evaluating language models, it's clear the current models need work.
Ok wait because this is actually insane. AI's are doing chemistry homework now, kind of. Meet MolQuest, the latest brainchild in AI evaluation that's turning heads in the scientific community. Forget those boring, single-question tests. MolQuest is all about that multi-turn, real-world action.
What’s the big deal?
MolQuest is all about molecular structure elucidation. Fancy term, right? Basically, it means figuring out what molecules look like based on data like NMR and MS. Instead of just asking AI one-off questions, this framework makes them plan, test, and think like real scientists.
And here's the tea: current AI models are flunking. Even the top-of-the-line ones are only hitting a 50% accuracy mark. Most of the others? Not even hitting 30%. Bruh, it's like they're guessing on a chemistry pop quiz.
Why should you care?
No but seriously. Read that again. AI that's supposed to be the future of scientific research is bombing its tests. If these models can't handle this, how are they supposed to help discover the next big thing in science?
MolQuest is lowkey exposing a massive flaw in our AI models. It's not enough to be smart, AI needs to strategize, interact, and iterate. And right now, they're barely scraping by.
What’s next?
Bestie, your portfolio needs to hear this. Investing in AI for scientific research? You better hope these companies can get their models up to speed. MolQuest is pointing out exactly where they need to level up.
But here's the silver lining. This framework isn't just highlighting issues. It's setting the stage for developing AI that can genuinely contribute to science. Like, imagine an AI that can do its own experiments. Iconic.
The way this protocol just ate. Iconic. It's basically a report card for AI's scientific potential, and the grades aren't looking too hot. But hey, at least now we know where to focus our efforts for improvement.
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