Goal Revelation as a Bridge Between Information-Theoretic Empowerment and Capability-Based Human Power
arXiv:2611.07247v1 Announce Type: new Abstract: Power matters for AI safety. Optimal agents tend to acquire power across a wide range of objectives (instrumental convergence). As we embed AI agents into socio-technical systems, humans risk gradual disempowerment. Both concerns…
AI Summary & Key Takeaways
- arXiv:2611.07247v1 Announce Type: new Abstract: Power matters for AI safety
- Optimal agents tend to acquire power across a wide range of objectives (instrumental convergence)
- As we embed AI agents into socio-technical systems, humans risk gradual disempowerment
Goal Revelation as a Bridge Between Information-Theoretic Empowerment and Capability-Based Human Power
Related stories
Future OpenAI model finds 1,724 vulnerabilities in Linux
🔐 Future OpenAI model discovers 1,724 vulnerabilities in Linux OpenAI's yet-to-be-released cyber model has demonstrated impressive results in finding operating system vulnerabilities. In one launch, it: - discovered 1,724 vulnerabilities; - prepared 948 working exploits,...
User Claude told how he managed to avoid KYC after switching to the Ultra tariff. Since October 25th he has been using...
User Claude told how he managed to avoid KYC after switching to the Ultra tariff. Since October 25, he has been using a subscription and claims that during all this time the service has never asked for identity confirmation. According to him, it is generally accepted in the community that the transition to Ultra...
Formalizing inverse problems in the age of AI: possibilities, pitfalls, and an invitation
arXiv:2611.06962v1 Announce Type: new Abstract: Proof assistants such as Lean check mathematical proofs down to the axioms, and AI agents have recently made writing such proofs cheap. We describe AutoIP, a Lean library in which classical linear regularization theory, together…
KDASO: Knowledge-Data Dual-Driven Automated Skill Optimization for Liability Adjudication Tasks
arXiv:2611.06972v1 Announce Type: new Abstract: Liability adjudication tasks (e.g., legal charge determination) require analyzing event descriptions against domain-specific skills to determine whether a party should bear liability. While Large Language Models (LLMs) have shown…