PromptCube, a vertical threaded community platform, serves AI practitioners by organizing discussions into categories such as AI Models, prompting techniques, and deployment architectures, enabling a …
MIRI and other AI governance researchers argue that society should not wait for a 'warning shot' to address existential risks from superintelligent AI, as their analysis of potential warning shots—AI-…
The MIRI communications team launched AI StopWatch in May after a month of closed beta testing, an experimental newsroom designed to track and analyze the conflicting media frames surrounding artifici…
Google CEO Demis Hassabis published an essay proposing a Frontier AI Standards Body within the US government, modeled after FINRA, to govern frontier AI labs and evaluate model safety. Critics includi…
In a mid-2026 update, AI researcher continues documenting beliefs as the world transitions to artificial superintelligence, predicting a 50% chance that transformer LLMs will discover a better archite…
A comprehensive genealogy of AI safety from 2005 to 2026 reveals that the field's development is messier than the standard narrative, with new research directions emerging, merging, or fading while fu…
A MIRI Technical Governance Fellowship project evaluates Trusted Execution Environments (TEEs) for privacy-preserving monitoring in AI governance, finding that while TEEs offer verifiable constraints …
A 1977 Little Golden Books story about Cookie Monster and a cursed cookie tree is used as an allegory to explain AI safety concepts, including AGI, misuse risks, preparedness frameworks, reward misspe…
The Machine Intelligence Research Institute (MIRI) is a nonprofit organization conducting foundational mathematical research on AI alignment to ensure smarter-than-human AI systems have a positive imp…
Hardware restrictions proposed to prevent dangerous superintelligent AI, such as limiting fabrication to 28 nanometer process nodes or computing capacity below 15,840 TFLOP/s, may inadvertently guaran…