EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Lobsters·Aug 19·5 min read
Liquid Types as a behavioural sandbox for agents
TL;DR
Liquid types can serve as a behavioral sandbox for agents, addressing the limitations of current permission systems that often lead to security risks. By implementing liquid types, agents can operate more safely without compromising user productivity.
✦ Why It Matters
Consider adopting liquid types in your agent systems to enhance security without sacrificing productivity.
Key Takeaways
- Implement Liquid Types to enforce behavioral permissions in agents.
- Use AeonBox to limit agent access to sensitive data.
- Review and refine permission systems to prevent security risks.
- Monitor agent behavior to identify potential vulnerabilities.
How It Works
Liquid Types allow developers to specify conditions under which certain actions can be performed, effectively making invalid states unrepresentable. For example, a function that divides two numbers can be designed to reject any input that could lead to division by zero.
This ensures that only valid operations are executed, enhancing safety.