Noah Smith’s recent commentary on AI-engineered superviruses has sparked considerable debate. Claus Wilke, an expert in computational biology, critiques Smith’s portrayal of a scenario where a teenager uses AI to create lethal viruses, ultimately leading to catastrophic outcomes. Wilke’s response highlights the substantial gaps in understanding the complexities of virus design and the actual risks posed by real-world pathogens.
Questioning the Plausibility of AI-Designed Viruses
Smith’s article begins with a fictional narrative about a teenager in 2029 who allegedly creates and deploys lethal viruses, resulting in a dramatic reduction of the human population. Wilke challenges this premise, suggesting that such a scenario is far-fetched given the current state of biological science. He argues that the complexities involved in computational design of biological systems are immense, and even seasoned experts struggle to achieve functional designs.
The Challenges of Virus Design
Wilke emphasizes that designing a virus is not only about computational capabilities but also involves significant biological challenges. Current AI tools, while advanced, still require extensive experimentation and validation. He points out that even simple designs, such as peptide binders, often fail to perform as intended. The leap from theoretical AI capabilities to practical virus creation is vast and filled with hurdles.
Trade-offs in Virus Characteristics
Delving deeper, Wilke discusses the inherent trade-offs in virus design. For a virus to be both lethal and easily transmissible poses significant biological challenges. He notes that highly lethal viruses, like Ebola, have limited transmission routes, while those that spread easily, such as measles, tend to have lower mortality rates. Wilke asserts that there is no evidence to suggest that AI could overcome these fundamental biological constraints to create a ‘supervirus’ as envisioned by Smith.
Real Threats vs. Fictional Scenarios
Wilke concludes by cautioning against the fear-mongering surrounding AI-designed viruses. He argues that the focus should be on real-world viral threats that emerge from zoonotic transmissions, which pose documented risks to public health. By fixating on fictional scenarios, we may overlook the pressing dangers that require our attention and preparedness.
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