Anthropic is committed to safety and has established the Responsible Scaling Philosophy (RSP) to outline conditions for releasing models with safeguards.

The responsible scaling policy outlines different red lines for capability thresholds at which new risks come online with more capable models.

The responsible scaling policy for AI is a living document that evolves as new risks and challenges are identified.

Anthropic has a strong safety mission, which includes responsible scaling policies to identify and mitigate catastrophic risks associated with AI models.

The responsible scaling program emphasizes the need for safeguards alongside advanced capabilities to ensure safe deployment of AI technologies.

The original responsible scaling policy committed to ensuring models reach a sufficient level of robustness to jailbreaks to mitigate risks effectively.

We need to develop scaling science alongside our compute scaling efforts to ensure effective advancements in AI capabilities.

Anthropic is focused on user safety by containing actions within a secure virtual machine and limiting access to sensitive data, although some restrictions may be lifted in the future.

The scaling laws became a foundational principle for AI development after being popularized by researchers, including those at OpenAI and Google DeepMind, who emphasized that it's not just about making models larger, but also about training them on sufficient data.