
The promise that artificial superintelligence (ASI) is the essential key to curing cancer serves as a dangerous distraction that justifies unchecked technological acceleration while ignoring systemic failures in healthcare. Cancer remains a highly complex, individualized disease rather than a simple computational problem, making the "magic genie" vision of ASI scientifically unfounded. While narrow AI applications—such as drug design, toxicity prediction, and early detection—already provide tangible medical advancements, these tools require curated data and targeted development rather than massive, unconstrained data centers. Current healthcare systems suffer from misaligned financial incentives, administrative waste, and limited data interoperability, which act as the true bottlenecks to progress. Redirecting the half-trillion dollars currently fueling the ASI race toward these practical, evidence-based medical infrastructures and regulatory reforms offers a more effective, safer path to saving lives than the speculative pursuit of superintelligence.
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