Why AI Can’t Make Antivenom (And What That Means for Your Holiday Shopping)

Why AI Can’t Make Antivenom (And What That Means for Your Holiday Shopping)

We have all seen the headlines. There is a specific kind of breathless pronouncement that usually accompanies Silicon Valley’s latest breakthrough—the idea that Artificial Intelligence is about to revolutionize everything from the way we write poetry to, apparently, how we invent life-saving medicine. It is enough to make you feel like we are living through the opening chapters of a science-fiction novel. But as someone who has spent years testing gadgets and deconstructing tech marketing, I tend to approach these bold claims with a healthy dose of skepticism.

My skepticism went into overdrive recently when I followed a story involving Anthropic’s Claude AI and an attempt to create scorpion antivenom. It is a fascinating case study in the current state of AI, particularly for those of us who are not entrenched in advanced algorithms or molecular biology. The short version? The AI did not save the day. The longer version explains a lot about why you should be careful about what you buy this holiday season.

The Scorpion in the Machine

The experiment, as reported by The Verge, involved an investment firm called Citrini Research. They partnered with Anthropic to see if an unreleased version of Claude could develop a novel scorpion antivenom. The results were... underwhelming. While Claude offered what the researchers called promising starting points, it was nowhere near producing a functional drug.

The most telling detail? The team at Citrini Research admitted they did not actually have any experts in AI-driven biology on staff. This is what the tech world has started calling vibe coding—the belief that if you just have a powerful enough AI and a clear enough prompt, you can bypass years of specialized training and expertise. They were trying to develop a complex medical treatment from scratch without the requisite scientific knowledge, hoping the AI would bridge the gap.

It did not. AI is a world-class pattern matcher and an incredible tool for processing vast amounts of data, but it is not a magic wand. In drug discovery, AI is great at sifting through millions of compounds to predict interactions, but it cannot replace the nuanced understanding, critical thinking, and ethical validation that human scientists provide. When the vibe coding met the reality of biology, the limitations of the AI became glaringly obvious.