How long before a real crackdown on AI model decensoring? (www.unite.ai)

The rise of 'decensored' open-source AI models has prompted discussions reminiscent of the software piracy scene of the late 1990s, where cracked applications were widely shared. Currently, many Large Language Models (LLMs) are being stripped of their safety filters, allowing users to access versions that can output harmful or explicit content. This decensoring trend is facilitated by tools like Heretic, which simplifies the process of removing these restrictions, leading to a proliferation of such models across various platforms even among non-technical users. The significance of this movement for the AI/ML community lies in its implications for regulation and ethical usage. As these easy-to-modify models become mainstream, there's growing concern among policymakers, evidenced by a recent report from 10a Labs identifying numerous applications that engage with uncensored models, many classified as potentially malicious. With governments already tightening controls in regions like the UK and EU, these developments could catalyze stricter regulations in the AI domain—potentially curtailing innovation and limiting users' freedom to customize AI applications. As the distinction between legitimate use and harmful applications blurs, the call for regulatory measures will likely intensify, putting the future of open-source AI capabilities at risk.