Open Weights, Life Sciences And The Risk Of Enterprise AI Dependency

Harini Gopalakrishnan, Founder of theHaze.ai & Industry GTM, Vespa,ai.

More than 270 companies and organizations recently signed the “Open Weights and American AI Leadership” letter, including major model developers, technology companies and infrastructure providers. The argument there is that open-weight models can widen access, improve competition and give organizations greater control over how and where they deploy AI.

​However, Anthropic has remained a notable exception. Anthropic’s stance is that while open-weight models without dangerous capabilities are a public good, sufficiently capable models can create different risks. Once weights are released, safeguards can be removed and access cannot simply be withdrawn. Anthropic, therefore, is pushing the need for mandatory safety testing for sufficiently capable models, whether open or closed, a kind of nuanced approach to supporting blanket open models.

​While I agree with the need for safety testing, I might disagree with the motive behind that support—how does a model leader decide whether a model is safe or unsafe to release as open weights?

​The debate itself therefore posits three questions:

1. Who decides when a model is too dangerous to open?

2. How long should intelligence remain closed?

3. How do frontier model developers protect their investments in capabilities?

​However, this isn’t new.​

Life Sciences Has Seen This Before

​Life sciences has dealt with this tension for decades: balancing investment in capability with medicine access for the larger public good and improvements. Drug discovery requires substantial investment, long development cycles and significant risk. Companies are therefore given a period of commercial exclusivity to reward innovation and recover their R&D investment. But that exclusivity is not permanent. Over time, patents expire and generic competition allows the benefits of scientific progress to spread more broadly.

I want to draw the same parallel with AI.

​What does that mean?