Import AI 469: DiG-bench, RSI Simulator, Faraday, and Zuckerberg's AI Manifesto
Import AI 469 highlights advancements in AI research and policy. It presents DiG-bench, a benchmark consisting of 70 text-based games designed to evaluate AI's capability to understand implicit rules. The results showed that Opus 5 and Fable 5 utilizing Claude Code achieved a 20% success rate on Tier 7, while human players reached 100%. This benchmark seeks to assess autonomous discovery in creativity, with expectations of achieving human-level performance by mid-2027. Additionally, Paradigm Research unveiled a browser game that mimics challenges faced by AI companies. A paper from Inherent reveals that Faraday, a 27B model, surpassed Opus 4.8 and GPT-5.5 in 73% of ML tasks. Mark Zuckerberg's essay, "The Future is for Everyone," outlines Meta's aspirations for superintelligence but faces criticism for neglecting issues of power dynamics.
Key facts
- DiG-bench is a benchmark of 70 games designed to test AI's ability to infer unwritten rules through exploration.
- The games are text-based, handcrafted, and mostly private to prevent training contamination.
- Opus 5 and Fable 5 with Claude Code are the best models, beating some Tier 7 tasks (0.2 success rate).
- Humans achieved 100% success on Tier 7, while AI models struggled.
- Paradigm Research released an RSI Simulator game to simulate recursive self-improvement.
- Inherent built Faraday, a 27B model, to supervise frontier models for scientific replication.
- Faraday outperformed Opus 4.8 and GPT-5.5 on 73% of ML tasks and 60% of AI-for-science tasks.
- Mark Zuckerberg's essay 'The Future is for Everyone' proposes individual empowerment through superintelligence.
- The author questions whether superhuman invention will align with individual empowerment.
- The newsletter includes a short story 'The First Arcology' inspired by the pyramids and Gaudi's Sagrada Família.
Entities
Artists
- Juergen Schmidhuber
- Mark Zuckerberg
Institutions
- Thinking About Thinking
- University of Oxford
- Princeton University
- King Abdullah University of Science and Technology
- Swiss AI Lab
- Inria
- MIT
- Paradigm Research
- Inherent
- OpenAI
- Meta
Locations
- Oxford
- United Kingdom
- Princeton
- United States
- Thuwal
- Saudi Arabia
- Lugano
- Switzerland
- Paris
- France
- Cambridge