Blog Archive
A collection of research articles and notes on AI safety, governance, alignment, and public-good technology.
Browse by topic
Governance
Frameworks, policies, and institutions for governing AI development and deployment.
1 postBrowseInner Alignment
Ensuring learned optimizers pursue intended objectives without deceptive or harmful strategies.
3 postsBrowseOuter Alignment
Specifying correct objectives and learning human values accurately.
2 postsBrowseEthics
Ethical frameworks, fairness, and value alignment in AI systems.
2 postsBrowseFormal Verification
Mathematical proofs and formal methods for ensuring AI system safety.
2 postsBrowseRecent posts
Unleashing MesaNet: The Supercharged RNN That Trains Itself on the Fly!
Imagine building a language model that's not just memorizing patterns but actually *solving optimization problems* in real-time during prediction.
Read article →ExpertSteer: Steering LLMs with Expert Wisdom
A fun dive into ExpertSteer, a method to guide large language models using expert knowledge without fine-tuning.
Read article →What Happens When AI Learns to Optimize Inside Itself? Uncovering Mesa-Optimizers in Transformers
Exploring how AI systems can exploit reward functions with mesa optimizers and what we can do about it.
Read article →Control Theory Meets Transformers: The PIDformer Revolution
Imagine you're building the ultimate AI model—a brainy beast that processes language and images like a pro. Transformers have been the rockstars of AI...
Read article →Bittensor Is It Really Decentralized AI?
If you've ever wondered how blockchain could supercharge artificial intelligence without letting a hog all the power, you're in for a treat. Today, we're diving into a fascinating paper by Elizabeth Lui and Jiahao Sun titled *"Bittensor Protocol: The Bitcoin in Decentralized Artificial Intelligence? A Critical and Empirical Analysis"*.
Read article →Testing vs. Formal Verification: Complementary Approaches
Understanding when to use testing versus formal verification for AI safety.
Read article →Addressing Fairness and Bias in AI Systems
Understanding and mitigating bias in AI systems to ensure fairness.
Read article →Ethical Frameworks for AI Development
Examining different ethical approaches to guide AI development.
Read article →Understanding Mesa-Optimization and Inner Alignment
An introduction to the mesa-optimization problem and why it matters for AI safety.
Read article →Introduction to Formal Verification for AI Safety
Using formal methods to prove safety properties of AI systems.
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