Meta CEO Mark Zuckerberg stated that AI laboratories are inherently motivated to improve model alignment to ensure user trust and avoid legal liability. He argues that companies ignoring alignment will lose their competitive edge, as users demand agents that follow instructions and reflect their values.
Zuckerberg emphasized that Meta prioritizes safety by integrating it into daily research rather than calling for industry-wide slowdowns. For example, the company delayed the release of its Muse model by several months to ensure system security and functionality before public launch.
The executive advocates for the use of independent external evaluation agencies and consultants as an industry best practice. Meta has already implemented this approach within its Super Intelligence Laboratory and encourages other firms to build a more diverse and robust evaluation ecosystem.
Instead of focusing on recursive self-improvement, Zuckerberg suggests that allocating the majority of computing power to serve public needs is a more effective way to ensure safe development. He noted that Meta has committed to this strategy and encourages peers to follow suit.
