The State of AI Safety in 2026: An Overview
As we progress through 2026, AI technology continues to advance at an astonishing rate, as highlighted by:
- Exponential Growth: The METR graph and revenue trends suggest significant improvement in AI capabilities.
- Alignment Gains: More capable models show improved alignment across various measures, yet challenges like adversarial robustness and reward hacking persist.
Despite some positive developments, we face pressing issues:
- Societal Readiness: Our institutions seem ill-equipped to handle the rapid evolution of AI, with a lack of regulation and collaboration increasing risks.
- Alignment Limitations: Current measures for model alignment fall short of what’s necessary for high-stakes applications.
The key takeaway? We need to actively scale AI alignment efforts, and waiting for AI to solve these issues itself is not an option.
Let’s spark a discussion on how we can tackle these challenges together! 💬 Share your thoughts and insights below.
