The internet has a human slop problem, and AI is exposing it (www.businessinsider.com)

Recent discussions around cybersecurity have brought attention to the so-called "human slop problem" in software development, which has been exacerbated by AI's growing capabilities. While some have pointed fingers at AI as a new digital threat, the real issue lies in decades of neglected vulnerabilities within the software that powers the internet. With AI tools now able to identify these weaknesses faster and more efficiently than humans ever could, the imperative to address long-overlooked security flaws has become more urgent. Experts like Joel de la Garza and Zane Lackey highlight a shift in how companies have historically managed risk—favoring short-term convenience over long-term security. The implications are significant for the AI and cybersecurity communities. As AI exposes these flaws, it also presents an opportunity: the potential to collaborate on improving the foundational software that underpins digital infrastructure. Tom Occhino from Vercel proposes forming a consortium where tech companies could contribute resources to identify and remediate vulnerabilities, shifting focus from merely creating new technologies to repairing and enhancing existing ones. This pivotal moment underscores the need for accountability in software development and the pressing necessity to clean up the "human slop" that has persisted for too long, reminding us that the responsibility ultimately lies with human developers, not the AI tools they wield.