Writing is no longer proof of work (www.seangoedecke.com)

The rise of large language models (LLMs) has fundamentally challenged the traditional role of writing as "proof of work" within tech companies, education, and other sectors. Traditionally, writing served as evidence of compliance, effort, or understanding, much like Bitcoin's proof-of-work mechanism. However, LLMs can now generate extensive text almost instantly, undermining these practices by making it easy to produce documents that simulate effort without any genuine investment of time or thought. This shift risks rendering formal writing obsolete as a credible measure of competence or diligence. The implications are significant for the AI/ML community and organizations at large, as reliance on written documentation for assessment may lead to a crisis of trust. As companies grapple with this challenge, potential adaptations could include exploring alternative evidence formats (like video presentations), enforcing non-AI-generated writing mandates, or finding new metrics for evaluating effort. However, the path forward remains uncertain, as organizations strive to balance the efficiency LLMs offer against the inherent value of authentic communication. In this evolving landscape, professionals are encouraged to focus on meaningful communication rather than producing superficial writing that merely serves as compliance evidence.